def DBLOAD_CHART(worksheet, dbname, chartday, chartrow):
loadchart = LineChart()
loadchart.title = dbname + ' ' + chartday + ' DB time'
loadchart.style = 10
loadchart.y_axis.title = 'Value'
loadchart.x_axis.title = 'Housr'
data = Reference(worksheet, min_col=4, min_row=8, max_col=6, max_row=8 + chartrow)
loadchart.add_data(data, titles_from_data=True)
# Style the lines
loadseries1 = loadchart.series[0]
loadseries1.marker.symbol = 'triangle'
loadseries1.marker.graphicalProperties.solidFill = 'FF0000' # Marker filling
loadseries1.marker.graphicalProperties.line.solidFill = 'FF0000' # Marker outline
loadseries1.smooth = True
# Style the lines
loadseries2 = loadchart.series[1]
loadseries2.marker.symbol = 'circle'
loadseries2.marker.graphicalProperties.solidFill = '00FF00' # Marker filling
loadseries2.marker.graphicalProperties.line.solidFill = '00FF00' # Marker outline
loadseries2.smooth = True
# Style the lines
loadseries3 = loadchart.series[2]
loadseries3.marker.symbol = 'plus'
loadseries3.marker.graphicalProperties.solidFill = '0000FF' # Marker filling
loadseries3.marker.graphicalProperties.line.solidFill = '0000FF' # Marker outline
loadseries3.smooth = True
return loadchart
class TestLineChartWriter(object):
def setup(self):
"""Setup a worksheet with one column of data and a line chart"""
wb = Workbook()
ws = wb.get_active_sheet()
ws.title = 'Line'
for i in range(1, 5):
ws.append([i])
self.piechart = LineChart()
self.piechart.add_serie(Serie(Reference(ws, (0, 0), (4, 0))))
self.cw = LineChartWriter(self.piechart)
self.root = Element('test')
def test_write_chart(self):
"""check if some characteristic tags of LineChart are there"""
self.cw._write_chart(self.root)
tagnames = ['{%s}lineChart' % CHART_NS,
'{%s}valAx' % CHART_NS,
'{%s}catAx' % CHART_NS]
root = safe_iterator(self.root)
chart_tags = [e.tag for e in root]
for tag in tagnames:
assert_true(tag in chart_tags, tag)
def test_serialised(self):
"""Check the serialised file against sample"""
xml = self.cw.write()
expected_file = os.path.join(DATADIR, "writer", "expected", "LineChart.xml")
with open(expected_file) as expected:
diff = compare_xml(xml, expected.read())
assert diff is None, diff
def line(wb):
ws = wb.create_sheet(5, "Line")
for i in range(1, 5):
ws.append([i])
chart = LineChart()
values = Reference(ws, (0, 0), (3,0))
series = Series(values)
chart.append(series)
ws.add_chart(chart)
def add_chart(self, sheetname, x_col, y_col):
ws = self.wb[sheetname]
xtitle = ws.cell(1, x_col).value
ytitle = ws.cell(1, y_col).value
chart = LineChart()
chart.title = "%s - %s" % (ytitle, xtitle)
chart.style = 13
chart.x_axis.title = xtitle
chart.y_axis.title = ytitle
chart.marker = True
chart.smooth = True
y_data = Reference(ws, min_col=y_col, min_row=1, max_col=y_col, max_row=self.current_row)
chart.add_data(y_data, titles_from_data=True)
x_data = Reference(ws, min_col=x_col, min_row=2, max_col=x_col, max_row=self.current_row)
chart.set_categories(x_data)
s0 = chart.series[0]
s0.marker.symbol = "circle"
s0.smooth = True
if 0 == self.chart_row:
self.chart_row = self.current_row
ws.add_chart(chart, "A%d" % self.chart_row)
# row height is 7.5/16 cm by default
self.chart_row = self.chart_row + chart.height / 7.5 * 16 + 2
def _create_chart(book):
c1 = LineChart()
c1.title = "Mean Wind Speed"
c1.style = 13
c1.y_axis.title = 'Speed'
c1.x_axis.title = 'Time'
mean_sheet = book.get_sheet_by_name(MEAN_WIND_SPEED_SHEET)
max_sheet = book.get_sheet_by_name(MAX_WIND_SPEED_SHEET)
max_row = first_empty_row(mean_sheet, 1) - 1
mean_data = Reference(mean_sheet, min_col=2, min_row=1, max_col=2, max_row=max_row)
max_data = Reference(max_sheet, min_col=2, min_row=1, max_col=2, max_row=max_row)
dates = Reference(mean_sheet, min_col=1, min_row=2, max_row=max_row)
c1.add_data(mean_data, titles_from_data=True)
c1.add_data(max_data, titles_from_data=True)
c1.y_axis.scaling.max = 100
c1.set_categories(dates)
s1 = c1.series[0]
s2 = c1.series[1]
s1.graphicalProperties.line.solidFill = "FF0000"
s2.graphicalProperties.line.solidFill = "0000FF"
ws = book.create_sheet()
ws.title = "Charts"
ws.add_chart(c1, "A1")
return book
def add_chart(sheet, chart_name, x_axis_name, y_axis_name, start_row, end_row, start_col, end_col, chart_position):
chart = LineChart()
chart.title = chart_name
chart.style = 10
chart.height = 10
chart.width = 20
chart.y_axis.title = y_axis_name
chart.x_axis.title = x_axis_name
data = Reference(sheet, min_col = start_col, min_row=start_row, max_col = end_col, max_row=end_row)
chart.add_data(data, titles_from_data=True)
s1 = chart.series[0]
s1.graphicalProperties.line.width = 30050
s2 = chart.series[1]
s2.graphicalProperties.line.width = 30050
s3 = chart.series[2]
s3.graphicalProperties.line.width = 30050
s4 = chart.series[3]
s4.graphicalProperties.line.width = 30050
s5 = chart.series[4]
s5.graphicalProperties.line.width = 30050
sheet.add_chart(chart, chart_position)
def setup(self):
"""Setup a worksheet with one column of data and a line chart"""
wb = Workbook()
ws = wb.get_active_sheet()
ws.title = 'Line'
for i in range(1, 5):
ws.append([i])
self.piechart = LineChart()
self.piechart.add_serie(Serie(Reference(ws, (0, 0), (4, 0))))
self.cw = LineChartWriter(self.piechart)
self.root = Element('test')
def insertarGraficoMercadoTC(ws):
maxCol = col2num(getMaxCol(ws, 'B', 46))
c1 = BarChart()
v1 = Reference(ws, min_col=1, min_row=47, max_col=maxCol)
c1.add_data(v1, titles_from_data=True, from_rows=True)
c1.y_axis.scaling.min = 0
c1.y_axis.majorGridlines = None
c2 = LineChart()
v2 = Reference(ws, min_col=1, min_row=48, max_col=maxCol)
c2.add_data(v2, titles_from_data=True, from_rows=True)
c2.y_axis.axId = 200
c1.z_axis = c2.y_axis
categories = Reference(ws, min_col=2, min_row=46, max_col=maxCol)
c1.set_categories(categories)
# Display y-axis of the second chart on the right by setting it to cross the x-axis at its maximum
c1.y_axis.crosses = "max"
c1 += c2
ws.add_chart(c1, "A54")
def insertarGraficoDevoluciones(ws):
c1 = LineChart()
c1.style = 13
c1.legend.position = 'b'
c1.width = 25
maxCol = col2num(getMaxCol(ws, 'B', 4))
data = Reference(ws, min_col=1, min_row=5, max_col=maxCol, max_row=7)
c1.add_data(data, titles_from_data=True, from_rows=True)
categories = Reference(ws, min_col=2, min_row=4, max_col=maxCol)
c1.set_categories(categories)
setSerieStyle(c1.series[0], "circle" , "C00000")
setSerieStyle(c1.series[1], "diamond" , "0000FF")
setSerieStyle(c1.series[2], "triangle", "00B050")
ws.add_chart(c1, "A19")
def fill_workbook(self):
counter = 1
a=self.has_workbook()
if a==True:
wb= openpyxl.load_workbook(self.get_workbook())
else:
wb = Workbook()
wb.save(self.get_workbook())
b=wb.active
b.title = self.user.get_name()
while b['B'+str(counter)].value!=b['C1'].value:
counter=counter+1
localtime = time.asctime( time.localtime(time.time()) )
b['B'+str(counter)]=float(self.web.get_price())
b['A'+str(counter)]=str(localtime)
chart = LineChart()
prices = Reference(b,min_col=2,max_col=2,min_row=1,max_row=int(counter))
times = Reference(b,min_col=1,max_col=1,min_row=1,max_row=int(counter))
series = Series(prices, title=self.user.get_name())
chart.append(series)
chart.set_categories(times)
chart.__name__= self.user.get_name()+" Prices"
b.add_chart(chart)
wb.save(self.get_workbook())
#Transfer the dates
for i in range (1, 9):
a = i-1
ws.cell(row=i, column=1).value = exampleData[a][0]
#Transfer the temps (needs to be separate in order to parse these into floats)
for i in range (2,9):
for h in range(2, 5):
a = i-1
b = h-1
ws.cell(row=i, column=h).value = float(exampleData[a][b])
ws = wb.active
#Create Chart object
c1 = LineChart()
#Edit Chart details
c1.title = "Weekly Temps"
c1.y_axis_title = "Temp"
c1.x_axis_title = "Date"
c1.height = 20
c1.width = 40
#Collect Reference points for the chart
data = Reference(ws, min_col=2, min_row=1, max_col=4, max_row=8)
dates = Reference(ws, min_col=1, min_row=2, max_col=1, max_row=8)
#Add Everything to the chart
c1.add_data(data, titles_from_data=True)
c1.set_categories(dates)
# Attendance Numbers - no big data equivalent, but something that is ideal for a church to track
# Example of how this should be used.
rows = [
['Date', 'Total Count', 'Saturday', 'Sunday'],
[date(2015,9, 1), 550, 100, 450],
[date(2015,9, 8), 400, 75, 325],
[date(2015,9, 15), 550, 125, 325],
[date(2015,9, 22), 700, 150, 550],
[date(2015,9, 29), 600, 100, 500],
]
for row in rows:
ws.append(row)
c1 = LineChart()
c1.title = "Line Chart"
c1.style = 13
c1.y_axis.title = 'Number of People Counted'
c1.x_axis.title = 'Service week'
data = Reference(ws, min_col=2, min_row=1, max_col=4, max_row=7)
c1.add_data(data, titles_from_data=True)
# Style the lines
s1 = c1.series[0]
s1.marker.symbol = "triangle"
s1.marker.graphicalProperties.solidFill = "FF0000" # Marker filling
s1.marker.graphicalProperties.line.solidFill = "FF0000" # Marker outline
s1.graphicalProperties.line.noFill = True
def generate_excel(report, name, reporting_start_datetime_local,
reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000'))
b_border = Border(bottom=Side(border_style='medium', color='00000000'), )
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_r_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
# img = Image("myems.png")
img.width = img.width * 1.06
img.height = img.height * 1.06
ws.add_image(img, 'B1')
# Title
ws.row_dimensions[3].height = 60
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local[:
10] + "__" + reporting_end_datetime_local[:
10]
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
#################################################
# First: 能耗分析
# 6: title
# 7: table title
# 8~10 table_data
# Total: 5 rows
# if has not energy data: set low height for rows
#################################################
reporting_period_data = report['reporting_period']
has_energy_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_energy_data_flag = False
if has_energy_data_flag:
ws['B6'].font = title_font
ws['B6'] = name + ' 能耗分析'
category = reporting_period_data['names']
ca_len = len(category)
ws.row_dimensions[7].height = 60
ws['B7'].fill = table_fill
ws['B7'].border = f_border
ws['B8'].font = title_font
ws['B8'].alignment = c_c_alignment
ws['B8'] = '能耗'
ws['B8'].border = f_border
ws['B9'].font = title_font
ws['B9'].alignment = c_c_alignment
ws['B9'] = '单位面积能耗'
ws['B9'].border = f_border
ws['B10'].font = title_font
ws['B10'].alignment = c_c_alignment
ws['B10'] = '环比'
ws['B10'].border = f_border
col = ''
for i in range(0, ca_len):
col = chr(ord('C') + i)
row = '7'
cell = col + row
ws[col + '7'].fill = table_fill
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = reporting_period_data['names'][
i] + " (" + reporting_period_data['units'][i] + ")"
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(reporting_period_data['subtotals'][i], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = round(
reporting_period_data['subtotals_per_unit_area'][i], 2)
ws[col + '9'].border = f_border
ws[col + '10'].font = name_font
ws[col + '10'].alignment = c_c_alignment
ws[col + '10'] = str(round(reporting_period_data['increment_rates'][i] * 100, 2)) + "%" \
if reporting_period_data['increment_rates'][i] is not None else "-"
ws[col + '10'].border = f_border
# TCE TCO2E
end_col = col
# TCE
tce_col = chr(ord(end_col) + 1)
ws[tce_col + '7'].fill = table_fill
ws[tce_col + '7'].font = name_font
ws[tce_col + '7'].alignment = c_c_alignment
ws[tce_col + '7'] = "吨标准煤 (TCE)"
ws[tce_col + '7'].border = f_border
ws[tce_col + '8'].font = name_font
ws[tce_col + '8'].alignment = c_c_alignment
ws[tce_col + '8'] = round(
reporting_period_data['total_in_kgce'] / 1000, 2)
ws[tce_col + '8'].border = f_border
ws[tce_col + '9'].font = name_font
ws[tce_col + '9'].alignment = c_c_alignment
ws[tce_col + '9'] = round(
reporting_period_data['total_in_kgce_per_unit_area'] / 1000, 2)
ws[tce_col + '9'].border = f_border
ws[tce_col + '10'].font = name_font
ws[tce_col + '10'].alignment = c_c_alignment
ws[tce_col + '10'] = str(round(reporting_period_data['increment_rate_in_kgce'] * 100, 2)) + "%" \
if reporting_period_data['increment_rate_in_kgce'] is not None else "-"
ws[tce_col + '10'].border = f_border
# TCO2E
tco2e_col = chr(ord(end_col) + 2)
ws[tco2e_col + '7'].fill = table_fill
ws[tco2e_col + '7'].font = name_font
ws[tco2e_col + '7'].alignment = c_c_alignment
ws[tco2e_col + '7'] = "吨二氧化碳排放 (TCO2E)"
ws[tco2e_col + '7'].border = f_border
ws[tco2e_col + '8'].font = name_font
ws[tco2e_col + '8'].alignment = c_c_alignment
ws[tco2e_col + '8'] = round(
reporting_period_data['total_in_kgco2e'] / 1000, 2)
ws[tco2e_col + '8'].border = f_border
ws[tco2e_col + '9'].font = name_font
ws[tco2e_col + '9'].alignment = c_c_alignment
ws[tco2e_col + '9'] = round(
reporting_period_data['total_in_kgco2e_per_unit_area'] / 1000, 2)
ws[tco2e_col + '9'].border = f_border
ws[tco2e_col + '10'].font = name_font
ws[tco2e_col + '10'].alignment = c_c_alignment
ws[tco2e_col + '10'] = str(round(reporting_period_data['increment_rate_in_kgco2e'] * 100, 2)) + "%" \
if reporting_period_data['increment_rate_in_kgco2e'] is not None else "-"
ws[tco2e_col + '10'].border = f_border
else:
for i in range(6, 10 + 1):
ws.row_dimensions[i].height = 0.1
#################################################
# Second: 分时电耗
# 12: title
# 13: table title
# 14~17 table_data
# Total: 6 rows
################################################
has_ele_peak_flag = True
if "toppeaks" not in reporting_period_data.keys() or \
reporting_period_data['toppeaks'] is None or \
len(reporting_period_data['toppeaks']) == 0:
has_ele_peak_flag = False
if has_ele_peak_flag:
ws['B12'].font = title_font
ws['B12'] = name + ' 分时电耗'
ws.row_dimensions[13].height = 60
ws['B13'].fill = table_fill
ws['B13'].font = name_font
ws['B13'].alignment = c_c_alignment
ws['B13'].border = f_border
ws['C13'].fill = table_fill
ws['C13'].font = name_font
ws['C13'].alignment = c_c_alignment
ws['C13'].border = f_border
ws['C13'] = '分时电耗'
ws['B14'].font = title_font
ws['B14'].alignment = c_c_alignment
ws['B14'] = '尖'
ws['B14'].border = f_border
ws['C14'].font = title_font
ws['C14'].alignment = c_c_alignment
ws['C14'].border = f_border
ws['C14'] = round(reporting_period_data['toppeaks'][0], 2)
ws['B15'].font = title_font
ws['B15'].alignment = c_c_alignment
ws['B15'] = '峰'
ws['B15'].border = f_border
ws['C15'].font = title_font
ws['C15'].alignment = c_c_alignment
ws['C15'].border = f_border
ws['C15'] = round(reporting_period_data['onpeaks'][0], 2)
ws['B16'].font = title_font
ws['B16'].alignment = c_c_alignment
ws['B16'] = '平'
ws['B16'].border = f_border
ws['C16'].font = title_font
ws['C16'].alignment = c_c_alignment
ws['C16'].border = f_border
ws['C16'] = round(reporting_period_data['midpeaks'][0], 2)
ws['B17'].font = title_font
ws['B17'].alignment = c_c_alignment
ws['B17'] = '谷'
ws['B17'].border = f_border
ws['C17'].font = title_font
ws['C17'].alignment = c_c_alignment
ws['C17'].border = f_border
ws['C17'] = round(reporting_period_data['offpeaks'][0], 2)
pie = PieChart()
pie.title = name + ' 分时电耗'
labels = Reference(ws, min_col=2, min_row=14, max_row=17)
pie_data = Reference(ws, min_col=3, min_row=13, max_row=17)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 7.25 # cm 1.05*5 1.05cm = 30 pt
pie.width = 9
# pie.title = "Pies sold by category"
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False # 标签显示
s1.dLbls.showVal = True # 数量显示
s1.dLbls.showPercent = True # 百分比显示
# s1 = CharacterProperties(sz=1800) # 图表中字体大小 *100
ws.add_chart(pie, "D13")
else:
for i in range(12, 18 + 1):
ws.row_dimensions[i].height = 0.1
################################################
# Fourth: 能耗详情
# current_row_number: title
# current_row_number+1 ~ current_row_number+1+ca_len*6-1: line
# current_row_number+1+ca_len*6: table title
# current_row_number+1+ca_len*6~: table_data
################################################
current_row_number = 19
reporting_period_data = report['reporting_period']
times = reporting_period_data['timestamps']
has_detail_data_flag = True
ca_len = len(report['reporting_period']['names'])
parameters_names_len = len(report['parameters']['names'])
parameters_parameters_datas_len = 0
for i in range(0, parameters_names_len):
if len(report['parameters']['timestamps'][i]) == 0:
continue
parameters_parameters_datas_len += 1
table_row = current_row_number + (ca_len +
parameters_parameters_datas_len) * 6 + 2
chart_start_row_number = current_row_number + 1
if "timestamps" not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0:
has_detail_data_flag = False
if has_detail_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 详细数据'
ws.row_dimensions[table_row].height = 60
ws['B' + str(table_row)].fill = table_fill
ws['B' + str(table_row)].font = title_font
ws['B' + str(table_row)].border = f_border
ws['B' + str(table_row)].alignment = c_c_alignment
ws['B' + str(table_row)] = '日期时间'
time = times[0]
has_data = False
max_row = 0
if len(time) > 0:
has_data = True
max_row = table_row + len(time)
print("max_row", max_row)
if has_data:
for i in range(0, len(time)):
col = 'B'
row = str(table_row + 1 + i)
# col = chr(ord('B') + i)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = time[i]
ws[col + row].border = f_border
for i in range(0, ca_len):
# 38 title
col = chr(ord('C') + i)
ws[col + str(table_row)].fill = table_fill
ws[col + str(table_row)].font = title_font
ws[col + str(table_row)].alignment = c_c_alignment
ws[col + str(table_row)] = reporting_period_data['names'][i] + \
" (" + reporting_period_data['units'][i] + ")"
ws[col + str(table_row)].border = f_border
# 39 data
time = times[i]
time_len = len(time)
for j in range(0, time_len):
row = str(table_row + 1 + j)
# col = chr(ord('B') + i)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(
reporting_period_data['values'][i][j], 2)
ws[col + row].border = f_border
current_row_number = table_row + 1 + len(times[0])
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '小计'
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(
reporting_period_data['subtotals'][i], 2)
# line
# 39~: line
line = LineChart()
line.title = '报告期消耗 - ' + ws.cell(column=3 + i,
row=table_row).value
labels = Reference(ws,
min_col=2,
min_row=table_row + 1,
max_row=max_row)
line_data = Reference(ws,
min_col=3 + i,
min_row=table_row,
max_row=max_row) # openpyxl bug
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25 # cm 1.05*5 1.05cm = 30 pt
line.width = 24
# pie.title = "Pies sold by category"
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
# line.dLbls.showCatName = True # label show
line.dLbls.showVal = True # val show
line.dLbls.showPercent = True # percent show
# s1 = CharacterProperties(sz=1800) # font size *100
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number + 6 * i)
ws.add_chart(line, chart_cell)
##########################################
has_parameters_names_and_timestamps_and_values_data = True
ca_len = len(report['reporting_period']['names'])
current_sheet_parameters_row_number = chart_start_row_number + ca_len * 6
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
if has_parameters_names_and_timestamps_and_values_data:
###############################
# new worksheet
###############################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
parameters_ws = wb.create_sheet('相关参数')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12 + parameters_names_len * 3):
parameters_ws.column_dimensions[format_cell.get_column_letter(
i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
parameters_ws.add_image(img, 'B1')
# Title
parameters_ws.row_dimensions[3].height = 60
parameters_ws['B3'].font = name_font
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'].font = name_font
parameters_ws['C3'] = name
parameters_ws['D3'].font = name_font
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'].font = name_font
parameters_ws['E3'] = period_type
parameters_ws['F3'].font = name_font
parameters_ws['F3'].alignment = b_r_alignment
parameters_ws['F3'] = 'Date:'
parameters_ws['G3'].border = b_border
parameters_ws['G3'].alignment = b_c_alignment
parameters_ws['G3'].font = name_font
parameters_ws[
'G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
parameters_ws.merge_cells("G3:H3")
parameters_ws_current_row_number = 6
parameters_ws['B' +
str(parameters_ws_current_row_number)].font = title_font
parameters_ws['B' +
str(parameters_ws_current_row_number)] = name + ' 相关参数'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[
parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 'B'
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
parameters_ws[table_current_col_number +
str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[table_current_col_number +
str(parameters_ws_current_row_number -
1)].border = f_border
col = decimal_to_column(
column_to_decimal(table_current_col_number) + 1)
parameters_ws[col + str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number -
1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number -
1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number -
1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number -
1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = table_current_col_number
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = decimal_to_column(column_to_decimal(col) + 1)
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(
parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = decimal_to_column(
column_to_decimal(table_current_col_number) + 3)
########################################################
# parameters chart and parameters table
########################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(current_sheet_parameters_row_number)] = name + ' 相关参数'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3 + col_index * 3
labels_col = 2 + col_index * 3
col_index += 1
line.title = '相关参数 - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws,
min_col=labels_col,
min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line_data = Reference(
parameters_ws,
min_col=data_col,
min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
def generate_excel(report,
name,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000')
)
b_border = Border(
bottom=Side(border_style='medium', color='00000000'),
)
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_r_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
ws.add_image(img, 'B1')
# Title
ws.row_dimensions[3].height = 60
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
ws.merge_cells("G3:H3")
if "reporting_period_efficiency" not in report.keys() or \
"names" not in report['reporting_period_efficiency'].keys() or len(
report['reporting_period_efficiency']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
##################################
current_row_number = 6
reporting_period_data = report['reporting_period_efficiency']
has_names_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_names_data_flag = False
if has_names_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 报告期累积效率'
current_row_number += 1
category = reporting_period_data['names']
ca_len = len(category)
ws.row_dimensions[current_row_number].height = 80
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].border = f_border
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
col = chr(ord(col) + 1)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '累积效率'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(reporting_period_data['cumulations'][i], 2)
col = chr(ord(col) + 1)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '环比'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = str(
round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \
if reporting_period_data['increment_rates'][i] is not None else '-'
col = chr(ord(col) + 1)
current_row_number += 2
#####################################
has_parameters_names_and_timestamps_and_values_data = True
current_sheet_parameters_row_number = current_row_number
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
#####################################
has_values_data = True
has_timestamps_data = True
if 'values' not in reporting_period_data.keys() or \
reporting_period_data['values'] is None or \
len(reporting_period_data['values']) == 0:
has_values_data = False
if 'timestamps' not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0 or \
len(reporting_period_data['timestamps'][0]) == 0:
has_timestamps_data = False
if has_values_data and has_timestamps_data:
ca_len = len(reporting_period_data['names'])
time = reporting_period_data['timestamps'][0]
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 报告期累积效率'
current_row_number += 1
chart_start_row_number = current_row_number
current_row_number += ca_len * 6 + 1
if has_parameters_names_and_timestamps_and_values_data:
current_sheet_parameters_row_number = current_row_number
real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps'])
current_row_number += 6*real_timestamps_len + 2
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 详细数据'
current_row_number += 1
table_start_row_number = current_row_number
ws.row_dimensions[current_row_number].height = 85
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '日期时间'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
col = chr(ord(col) + 1)
current_row_number += 1
for i in range(0, len(time)):
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = time[i]
col = 'C'
for j in range(0, ca_len):
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \
if reporting_period_data['values'][j][i] is not None else 0.00
col = chr(ord(col) + 1)
current_row_number += 1
table_end_row_number = current_row_number - 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '小计'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(reporting_period_data['cumulations'][i], 2)
col = chr(ord(col) + 1)
current_row_number += 2
format_time_width_number = 1.0
min_len_number = 1.0
min_width_number = 11.0 # format_time_width_number * min_len_number + 4 and min_width_number > 11.0
if period_type == 'hourly':
format_time_width_number = 4.0
min_len_number = 2
min_width_number = 12.0
elif period_type == 'daily':
format_time_width_number = 2.5
min_len_number = 4
min_width_number = 14.0
elif period_type == 'monthly':
format_time_width_number = 2.1
min_len_number = 4
min_width_number = 12.4
elif period_type == 'yearly':
format_time_width_number = 1.5
min_len_number = 5
min_width_number = 11.5
for i in range(0, ca_len):
line = LineChart()
line.title = '报告期累积效率 - ' + \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number)
line_data = Reference(ws, min_col=3 + i, min_row=table_start_row_number, max_row=table_end_row_number)
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = format_time_width_number * len(time) if len(time) > min_len_number else min_width_number
if line.width > 24:
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
#####################################################################
if has_parameters_names_and_timestamps_and_values_data:
###############################
# new worksheet
###############################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
parameters_ws = wb.create_sheet('相关参数')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12+parameters_names_len*3):
parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
parameters_ws.add_image(img, 'B1')
# Title
parameters_ws.row_dimensions[3].height = 60
parameters_ws['B3'].font = name_font
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'].font = name_font
parameters_ws['C3'] = name
parameters_ws['D3'].font = name_font
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'].font = name_font
parameters_ws['E3'] = period_type
parameters_ws['F3'].font = name_font
parameters_ws['F3'].alignment = b_r_alignment
parameters_ws['F3'] = 'Date:'
parameters_ws['G3'].border = b_border
parameters_ws['G3'].alignment = b_c_alignment
parameters_ws['G3'].font = name_font
parameters_ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
parameters_ws.merge_cells("G3:H3")
parameters_ws_current_row_number = 6
parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font
parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' 相关参数'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 2
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number-1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number-1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number-1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = table_current_col_number + 3
########################################################
# parameters chart and parameters table
########################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(current_sheet_parameters_row_number)] = name + ' 相关参数'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3+col_index*3
labels_col = 2+col_index*3
col_index += 1
line.title = '相关参数 - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number))
line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
def SaveXlsxFile():
wb = Workbook()
wsSummary = wb.active
wsSummary.title = 'Summary'
wsSummary.append(["Name", roast.name])
wsSummary.append(["Start Weight", roast.preWeight])
wsSummary.append(["End Weight", roast.postWeight])
wsSummary.append(["Weight Loss", roast.getWeightLoss()])
wsSummary.append(["First Crack", roast.firstCrack])
wsSummary.append(["Second Crack", roast.secondCrack])
wsSummary['B5'].number_format = 'mm:ss.00'
wsSummary['B6'].number_format = 'mm:ss.00'
wsSummary.column_dimensions['A'].width = 12
wsSummary.column_dimensions['B'].width = 25
wsData = wb.create_sheet(title="Data")
wsData.append([
'Time', 'Internal Temp', 'Target Temp', 'Thermocouple Temp',
'Delta Temp', 'Fan Speed', 'Heat', 'PID Output', 'P', 'I', 'D',
'Heat State Index'
])
for log in roaster.log:
wsData.append(log)
for index in range(2, len(roaster.log) + 2):
wsData['A' + str(index)].number_format = 'mm:ss.00'
chart = LineChart()
chart.title = "Temperature Profile"
chart.style = 2
chart.y_axis.title = 'Temperature (F)'
chart.x_axis.title = 'Time'
data = Reference(wsData,
min_col=3,
min_row=1,
max_col=4,
max_row=len(roaster.log) + 1)
timings = Reference(wsData,
min_col=1,
min_row=1,
max_col=1,
max_row=len(roaster.log) + 1)
chart.add_data(data, titles_from_data=True)
chart.set_categories(timings)
wsSummary.add_chart(chart, "A9")
chart2 = LineChart()
chart2.title = "Roaster Settings"
chart2.style = 2
chart2.y_axis.title = 'Setting'
chart2.x_axis.title = 'Time'
fanHeatData = Reference(wsData,
min_col=5,
min_row=1,
max_col=6,
max_row=len(roaster.log) + 1)
chart2.add_data(fanHeatData, titles_from_data=True)
chart2.set_categories(timings)
wsSummary.add_chart(chart2, "A24")
# Save the file
wb.save('roasts/' + roast.startTime.strftime('%y-%m-%d ') + roast.name +
".xlsx")
from openpyxl import load_workbook
wb = load_workbook("sample.xlsx")
ws = wb.active
from openpyxl.chart import BarChart, Reference, LineChart
# bar_value = Reference(ws, min_row=2, max_row=11, min_col=2, max_col=3)
# bar_chart = BarChart() #차트 종류 설정
# bar_chart.add_data(bar_value)# 차트 데이터 추가
# ws.add_chart(bar_chart, "E1") #차트 넣을 위치 정ㅇ의
line_value = Reference(ws, min_row=1, max_row=11, min_col=2, max_col=3)
line_chart = LineChart()
line_chart.add_data(line_value, titles_from_data=True)
line_chart.title = "성적표"
line_chart.style = 10
line_chart.y_axis.title = "점수"
line_chart.x_axis.title = "번호"
ws.add_chart(line_chart, "E1")
wb.save("sample_chart.xlsx")
def generate_excel(report, name, reporting_start_datetime_local,
reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000'))
b_border = Border(bottom=Side(border_style='medium', color='00000000'), )
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_r_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
ws.add_image(img, 'B1')
# Title
ws.row_dimensions[3].height = 60
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
##################################
reporting_period_data = report['reporting_period']
has_cost_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_cost_data_flag = False
if has_cost_data_flag:
ws['B5'].font = title_font
ws['B5'] = name + ' 报告期收入'
category = reporting_period_data['names']
ca_len = len(category)
ws.row_dimensions[7].height = 60
ws['B6'].fill = table_fill
ws['B6'].border = f_border
ws['B7'].font = title_font
ws['B7'].alignment = c_c_alignment
ws['B7'] = '报告期收入总计'
ws['B7'].border = f_border
ws['B8'].font = title_font
ws['B8'].alignment = c_c_alignment
ws['B8'] = '单位面积值'
ws['B8'].border = f_border
ws['B9'].font = title_font
ws['B9'].alignment = c_c_alignment
ws['B9'] = '环比'
ws['B9'].border = f_border
col = ''
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + '6'].fill = table_fill
ws[col + '6'].font = name_font
ws[col + '6'].alignment = c_c_alignment
ws[col + '6'] = reporting_period_data['names'][
i] + " (" + reporting_period_data['units'][i] + ")"
ws[col + '6'].border = f_border
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = round(reporting_period_data['subtotals'][i], 2)
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(
reporting_period_data['subtotals_per_unit_area'][i], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = str(round(reporting_period_data['increment_rates'][i] * 100, 2)) + "%" \
if reporting_period_data['increment_rates'][i] is not None else "-"
ws[col + '9'].border = f_border
col = chr(ord(col) + 1)
ws[col + '6'].fill = table_fill
ws[col + '6'].font = name_font
ws[col + '6'].alignment = c_c_alignment
ws[col + '6'] = "总计 (" + reporting_period_data['total_unit'] + ")"
ws[col + '6'].border = f_border
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = round(reporting_period_data['total'], 2)
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(reporting_period_data['total_per_unit_area'], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = str(round(reporting_period_data['total_increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['total_increment_rate'] is not None else "-"
ws[col + '9'].border = f_border
else:
for i in range(6, 9 + 1):
ws.row_dimensions[i].height = 0.1
##################################
current_row_number = 11
has_subtotals_data_flag = True
if "subtotals" not in reporting_period_data.keys() or \
reporting_period_data['subtotals'] is None or \
len(reporting_period_data['subtotals']) == 0:
has_subtotals_data_flag = False
if has_subtotals_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 收入占比'
current_row_number += 1
table_start_row_number = current_row_number
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = name_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].fill = table_fill
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = '收入'
ws['D' + str(current_row_number)].fill = table_fill
ws['D' + str(current_row_number)].font = name_font
ws['D' + str(current_row_number)].alignment = c_c_alignment
ws['D' + str(current_row_number)].border = f_border
ws['D' + str(current_row_number)] = '收入占比'
current_row_number += 1
ca_len = len(reporting_period_data['names'])
total = Decimal(0.0)
for i in range(0, ca_len):
total = reporting_period_data['subtotals'][i] + total
for i in range(0, ca_len):
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' +
str(current_row_number)] = reporting_period_data['names'][i]
ws['B' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].font = title_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = round(
reporting_period_data['subtotals'][i], 2)
ws['D' + str(current_row_number)].font = title_font
ws['D' + str(current_row_number)].alignment = c_c_alignment
ws['D' + str(current_row_number)].border = f_border
ws['D' + str(current_row_number)] = '{:.2%}'.format(reporting_period_data['subtotals'][i] / total) \
if total > Decimal(0.0) else '-'
current_row_number += 1
table_end_row_number = current_row_number - 1
pie = PieChart()
pie.title = name + ' 收入占比'
labels = Reference(ws,
min_col=2,
min_row=table_start_row_number + 1,
max_row=table_end_row_number)
pie_data = Reference(ws,
min_col=3,
min_row=table_start_row_number,
max_row=table_end_row_number)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 6.6
pie.width = 9
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False
s1.dLbls.showVal = True
s1.dLbls.showPercent = True
table_cell = 'E' + str(table_start_row_number)
ws.add_chart(pie, table_cell)
if ca_len < 4:
current_row_number = current_row_number - ca_len + 4
current_row_number += 1
#################################################
reporting_period_data = report['reporting_period']
times = reporting_period_data['timestamps']
has_detail_data_flag = True
ca_len = len(report['reporting_period']['names'])
real_timestamps_len = timestamps_data_not_equal_0(
report['parameters']['timestamps'])
table_row = (current_row_number + 1) + ca_len * 6 + real_timestamps_len * 7
current_end_row_number = current_row_number
if "timestamps" not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0:
has_detail_data_flag = False
if has_detail_data_flag:
current_end_row_number += ca_len * 6 + 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 详细数据'
ws.row_dimensions[table_row].height = 60
ws['B' + str(table_row)].fill = table_fill
ws['B' + str(table_row)].font = title_font
ws['B' + str(table_row)].border = f_border
ws['B' + str(table_row)].alignment = c_c_alignment
ws['B' + str(table_row)] = '日期时间'
time = times[0]
has_data = False
max_row = 0
if len(time) > 0:
has_data = True
max_row = table_row + len(time)
current_end_row_number += (len(time) + 3)
if has_data:
for i in range(0, len(time)):
col = 'B'
row = str(table_row + 1 + i)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = time[i]
ws[col + row].border = f_border
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + str(table_row)].fill = table_fill
ws[col + str(table_row)].font = title_font
ws[col + str(table_row)].alignment = c_c_alignment
ws[col + str(table_row)] = reporting_period_data['names'][
i] + " (" + reporting_period_data['units'][i] + ")"
ws[col + str(table_row)].border = f_border
# 39 data
time = times[i]
time_len = len(time)
for j in range(0, time_len):
row = str(table_row + 1 + j)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(
reporting_period_data['values'][i][j], 2)
ws[col + row].border = f_border
line = LineChart()
line.title = \
'报告期收入 - ' + reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
labels = Reference(ws,
min_col=2,
min_row=table_row + 1,
max_row=max_row)
line_data = Reference(ws,
min_col=3 + i,
min_row=table_row,
max_row=max_row)
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(current_row_number + 1 + 6 * i)
table_start_draw_flag = current_row_number
ws.add_chart(line, chart_cell)
row = str(max_row + 1)
ws['B' + row].font = title_font
ws['B' + row].alignment = c_c_alignment
ws['B' + row] = '小计'
ws['B' + row].border = f_border
col = ''
for i in range(0, ca_len):
col = chr(ord('C') + i)
row = str(max_row + 1)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(reporting_period_data['subtotals'][i], 2)
ws[col + row].border = f_border
col = chr(ord(col) + 1)
ws[col + str(table_row)].fill = table_fill
ws[col + str(table_row)].font = title_font
ws[col + str(table_row)].alignment = c_c_alignment
ws[col +
str(table_row
)] = '总计 (' + report['reporting_period']['total_unit'] + ')'
ws[col + str(table_row)].border = f_border
total_sum = Decimal(0.0)
for j in range(0, len(time)):
row = str(table_row + 1 + j)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
every_day_sum = reporting_period_values_every_day_sum(
reporting_period_data, j, ca_len)
total_sum += every_day_sum
ws[col + row] = round(every_day_sum, 2)
ws[col + row].border = f_border
row = str(table_row + 1 + len(time))
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(total_sum, 2)
ws[col + row].border = f_border
current_row_number = current_end_row_number
##################################
has_child_flag = True
if "child_space" not in report.keys() or "energy_category_names" not in report['child_space'].keys() or \
len(report['child_space']["energy_category_names"]) == 0 \
or 'child_space_names_array' not in report['child_space'].keys() \
or report['child_space']['energy_category_names'] is None \
or len(report['child_space']['child_space_names_array']) == 0 \
or len(report['child_space']['child_space_names_array'][0]) == 0:
has_child_flag = False
if has_child_flag:
child = report['child_space']
current_row_number = int(row) + 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 子空间数据'
current_row_number += 1
table_start_row_number = current_row_number
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = name_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '子空间'
ca_len = len(child['energy_category_names'])
col = ''
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = child['energy_category_names'][
i] + ' (' + child['units'][i] + ')'
col = chr(ord(col) + 1)
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col +
str(current_row_number
)] = '总计 (' + report['reporting_period']['total_unit'] + ')'
space_len = len(child['child_space_names_array'][0])
for i in range(0, space_len):
current_row_number += 1
row = str(current_row_number)
ws['B' + row].font = title_font
ws['B' + row].alignment = c_c_alignment
ws['B' + row] = child['child_space_names_array'][0][i]
ws['B' + row].border = f_border
col = ''
every_day_sum = Decimal(0.0)
for j in range(0, ca_len):
col = chr(ord('C') + j)
ws[col + row].font = name_font
ws[col + row].alignment = c_c_alignment
every_day_sum += child['subtotals_array'][j][i]
ws[col + row] = round(child['subtotals_array'][j][i], 2)
ws[col + row].border = f_border
col = chr(ord(col) + 1)
ws[col + row].font = name_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(every_day_sum, 2)
ws[col + row].border = f_border
table_end_row_number = current_row_number
current_row_number += 1
chart_start_row_number = current_row_number
# Pie
for i in range(0, ca_len):
pie = PieChart()
labels = Reference(ws,
min_col=2,
min_row=table_start_row_number + 1,
max_row=table_end_row_number)
pie_data = Reference(ws,
min_col=3 + i,
min_row=table_start_row_number,
max_row=table_end_row_number)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 6.6
pie.width = 8
pie.title = ws.cell(column=3 + i, row=table_start_row_number).value
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False
s1.dLbls.showVal = True
s1.dLbls.showPercent = True
chart_cell = ''
if i % 2 == 0:
chart_cell = 'B' + str(chart_start_row_number)
else:
chart_cell = 'E' + str(chart_start_row_number)
chart_start_row_number += 5
ws.add_chart(pie, chart_cell)
current_row_number = chart_start_row_number
if ca_len % 2 == 1:
current_row_number += 5
current_row_number += 1
#############################################
current_sheet_parameters_row_number = table_start_draw_flag + ca_len * 6 + 1
has_parameters_names_and_timestamps_and_values_data = True
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
if has_parameters_names_and_timestamps_and_values_data:
###############################
# new worksheet
###############################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
parameters_ws = wb.create_sheet('相关参数')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12 + parameters_names_len * 3):
parameters_ws.column_dimensions[format_cell.get_column_letter(
i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
parameters_ws.add_image(img, 'B1')
# Title
parameters_ws.row_dimensions[3].height = 60
parameters_ws['B3'].font = name_font
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'].font = name_font
parameters_ws['C3'] = name
parameters_ws['D3'].font = name_font
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'].font = name_font
parameters_ws['E3'] = period_type
parameters_ws['F3'].font = name_font
parameters_ws['F3'].alignment = b_r_alignment
parameters_ws['F3'] = 'Date:'
parameters_ws['G3'].border = b_border
parameters_ws['G3'].alignment = b_c_alignment
parameters_ws['G3'].font = name_font
parameters_ws[
'G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
parameters_ws.merge_cells("G3:H3")
parameters_ws_current_row_number = 6
parameters_ws['B' +
str(parameters_ws_current_row_number)].font = title_font
parameters_ws['B' +
str(parameters_ws_current_row_number)] = name + ' 相关参数'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[
parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 2
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number -
1)].border = f_border
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number -
1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number -
1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number -
1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number -
1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = format_cell.get_column_letter(table_current_col_number +
1)
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(
parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = table_current_col_number + 3
########################################################
# parameters chart and parameters table
########################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(current_sheet_parameters_row_number)] = name + ' 相关参数'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3 + col_index * 3
labels_col = 2 + col_index * 3
col_index += 1
line.title = '相关参数 - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws,
min_col=labels_col,
min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line_data = Reference(
parameters_ws,
min_col=data_col,
min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
##########################################
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
ws = wb.get_sheet_by_name('newsum')
'''
rows = [
['Date', 'Batch 1', 'Batch 2', 'Batch 3'],
[date(2015,9, 1), 40, 30, 25],
[date(2015,9, 2), 40, 25, 30],
[date(2015,9, 3), 50, 30, 45],
[date(2015,9, 4), 30, 25, 40],
[date(2015,9, 5), 25, 35, 30],
[date(2015,9, 6), 20, 40, 35],
]
for row in rows:
ws.append(row)
'''
c1 = LineChart()
c1.title = "Activity覆盖率随时间变化关系"
c1.style = 13
c1.y_axis.title = '覆盖率'
c1.x_axis.title = '时间/分钟'
data = Reference(ws, min_col=1, min_row=2, max_col=61, max_row=5)
c1.add_data(data, from_rows=True,titles_from_data=True)
# Style the lines
'''
s1 = c1.series[0]
s1.marker.symbol = "triangle"
s1.marker.graphicalProperties.solidFill = "FF0000" # Marker filling
s1.marker.graphicalProperties.line.solidFill = "FF0000" # Marker outline
s1.graphicalProperties.line.width = 15005 # width in EMUs
def write_status_to_xls(status, xls_file='./log.xls'):
"""将获取的内容写到excel文件里"""
wb = Workbook()
sheet_name = 'cpu'
sheet = wb.active
sheet.title = sheet_name
cpu_status = ['cpu0', 'cpu1', 'cpu2', 'cpu3', 'cpu4', 'cpu5']
# 真正的数据从第三行开始
base_offset_value = 3
# cpu频率
sheet.cell(row=1, column=1, value='cpu frequency')
for i in range(6):
sheet.cell(row=2, column=i + 1, value=cpu_status[i])
for i in range(0, len(status.cpu_freq[0])):
for j in range(0, 6):
sheet.cell(row=i + base_offset_value,
column=j + 1,
value=status.cpu_freq[j][i])
# cpu占用率
base_offset_cpu_utilization = 8
sheet.cell(row=1,
column=base_offset_cpu_utilization,
value='cpu utilization')
for i in range(6):
sheet.cell(row=2,
column=i + base_offset_cpu_utilization,
value=cpu_status[i])
for i in range(0, len(status.cpu_utilization[0])):
for j in range(0, 6):
sheet.cell(row=i + base_offset_value,
column=j + base_offset_cpu_utilization,
value=status.cpu_utilization[j][i])
# ram
base_offset_ram = 15
sheet.cell(row=2, column=base_offset_ram, value='ram')
for i in range(0, len(status.ram)):
sheet.cell(row=i + base_offset_value,
column=base_offset_ram,
value=status.ram[i])
# emc
base_offset_emc = 16
sheet.cell(row=2, column=base_offset_emc, value='emc')
for i in range(0, len(status.emc)):
sheet.cell(row=i + base_offset_value,
column=base_offset_emc,
value=status.emc[i])
# gpu
base_offset_gpu = 17
sheet.cell(row=2, column=base_offset_gpu, value='gpu')
for i in range(0, len(status.gpu)):
sheet.cell(row=i + base_offset_value,
column=base_offset_gpu,
value=status.gpu[i])
# 制作line chart
chart = LineChart()
chart.y_axis.title = 'Rate'
# where is the data
data = Reference(sheet,
min_col=base_offset_cpu_utilization,
min_row=2,
max_row=len(status.gpu) + base_offset_value - 1,
max_col=base_offset_cpu_utilization + 5)
data_gpu = Reference(sheet,
min_col=base_offset_gpu,
min_row=2,
max_row=len(status.gpu) + base_offset_value - 1,
max_col=base_offset_gpu)
chart.add_data(data, titles_from_data=True)
chart.add_data(data_gpu, titles_from_data=True)
# chart.layout = Layout(
# manualLayout=ManualLayout(
# x=2, y=2,
# h=2, w=2,
# )
# )
# chart.add_series({
# # 'categories': '=%s!$H$3:$H$%d' % (sheet_name, 2+len(status.gpu)),
# 'values': '=%s!$H$3:$H$%d' % (sheet_name, 2+len(status.gpu)),
# 'line': {'color': 'red'},
# }
# )
sheet.add_chart(chart, 'A%d' % (len(status.gpu) + base_offset_value + 1))
wb.save(xls_file)
print("Done!")
print('Выборка: ', bump_plot)
print('Количество значений выборки', len(bump_plot))
# Записываю данные в excel
dataToExcel(bump_plot, file_name)
dataToExcel(accel_list, file_raw_name)
# А здесь попробуем нарисовать красивые графики
wb = openpyxl.load_workbook(file_name)
raw_wb = openpyxl.load_workbook(file_raw_name) # файл с сырыми данными
ws = wb['Res']
raw_ws = raw_wb['Res']
chart = LineChart()
data = Reference(ws,
min_col=1,
min_row=1,
max_col=ws.max_column,
max_row=ws.max_row)
chart.add_data(data, titles_from_data=True)
raw_chart = LineChart()
raw_data = Reference(raw_ws,
min_col=1,
min_row=1,
max_col=raw_ws.max_column,
max_row=raw_ws.max_row)
raw_chart.add_data(raw_data, titles_from_data=False)
def ronava_bar_chart(writingSheet, dataSheet, params):
# TODO add dictionary in parameters to avoid overlapping
if params["use"] == "bars":
data = Reference(
dataSheet,
min_col=params["data_min_col"],
min_row=params["data_min_row"],
max_row=params["data_max_row"],
max_col=params["data_max_col"],
)
cats = Reference(
dataSheet,
min_col=params["cats_min_col"],
min_row=params["cats_min_row"],
max_row=params["cats_max_row"],
max_col=params["cats_max_col"],
)
chart = BarChart()
chart.type = params["type"]
chart.style = 12
# chart.grouping = "stacked"
chart.title = params["title"]
chart.y_axis.title = params["y_axis"]
chart.x_axis.title = params["x_axis"]
chart.add_data(data, titles_from_data=True)
chart.set_categories(cats)
chart.height = params["heigth"]
chart.width = params["width"]
writingSheet.add_chart(chart, "D2")
elif params["use"] == "single":
c1 = BarChart()
v1 = Reference(
dataSheet, min_col=params["data_min_col"], min_row=params["data_min_row"], max_col=params["data_max_col"]
)
cats = Reference(
dataSheet, min_col=params["cats_min_col"], min_row=params["cats_min_row"], max_col=params["cats_max_col"]
)
c1.series = [Series(v1, title_from_data=True)]
c1.style = 12
c1.set_categories(cats)
c1.x_axis.title = params["x_axis"]
c1.y_axis.title = params["y_axis"]
c1.height = params["heigth"]
c1.width = params["width"]
c1.title = params["title"]
writingSheet.add_chart(c1, "D4")
else:
c1 = BarChart()
v1 = Reference(
dataSheet, min_col=params["data_min_col"], min_row=params["data_min_row"], max_col=params["data_max_col"]
)
cats = Reference(
dataSheet, min_col=params["cats_min_col"], min_row=params["cats_min_row"], max_col=params["cats_max_col"]
)
c1.series = [Series(v1, title_from_data=True)]
c1.y_axis.majorGridlines = None
c1.set_categories(cats)
c1.x_axis.title = params["x_axis"]
c1.y_axis.title = params["y_axis"]
c1.height = params["heigth"]
c1.width = params["width"]
c1.title = params["title"]
c1.style = 12
# Create a second chart
c2 = LineChart()
v2 = Reference(
dataSheet,
min_col=params["data_min_col"],
min_row=params["data_min_row"] + 1,
max_col=params["data_max_col"],
)
c2.series = [Series(v2, title_from_data=True)]
c2.y_axis.axId = 20
c2.y_axis.title = "Porcentaje Produccion"
# Assign the y-axis of the second chart to the third axis of the first chart
c1.z_axis = c2.y_axis
c1.y_axis.crosses = "max"
c1 += c2
writingSheet.add_chart(c1, "D4")
def main():
if len(sys.argv) != 2:
print("Usage: $ python %s excel_file" % sys.argv[0])
quit()
excel_file = sys.argv[1]
logger.info(excel_file)
wb = load_workbook(excel_file, read_only=True)
out_excel_file = "{}_result.xlsx".format(re.sub(r"\.[^\.]+$", "", excel_file))
wb_out = Workbook()
ws_summary = wb_out.active
ws_summary.title = "summary"
ws_summary['A1'] = "FuguAutoML summary file"
ws_summary['A2'] = "create timedate"
ws_summary['B2'] = datetime.datetime.now().strftime("%Y/%m/%d %H:%M:%S")
wb_out.save(out_excel_file)
logger.info("out_excel_file = {}".format(out_excel_file))
logger.info("load conf sheet")
conf_sheet = wb["conf"]
conf = {}
for i in range(1, conf_sheet.max_row + 1):
key_cel = conf_sheet[i][0].value
val_cel = conf_sheet[i][2].value
if key_cel:
conf[key_cel] = val_cel
logger.info(pp.pformat(conf))
table_structure_sheet = conf["table_structure"]
main_table = conf["main_table"]
operation = conf["operation"]
objective_column = conf["objective_column"]
key_column = conf["key_column"]
apply_table = conf["apply_table"]
logger.info("load table_structure sheet")
table_sheet = wb[table_structure_sheet]
table_structure = {}
for i in range(2, table_sheet.max_row + 1):
table_name = table_sheet[i][0].value
col_name = table_sheet[i][1].value
ope = table_sheet[i][2].value
if table_name and col_name and ope:
if table_name not in table_structure:
table_structure[table_name] = {}
if col_name not in table_structure[table_name]:
table_structure[table_name][col_name] = ope
logger.info(pp.pformat(table_structure))
logger.info("load data")
Xs = {}
X_apply = None
for data_table in table_structure:
data_sheet = wb[data_table]
data_type = {}
use_col = []
for i in range(data_sheet.max_column):
col_name = data_sheet[1][i].value
if col_name in table_structure[data_table]:
use_col.append(i)
ope = table_structure[data_table][col_name]
if ope == CONSTANT.KEY_TYPE or ope == CONSTANT.CATEGORY_TYPE or \
ope == CONSTANT.TEXT_TYPE or ope == CONSTANT.TEXTJA_TYPE:
data_type[col_name] = str
elif ope == CONSTANT.NUMERICAL_TYPE:
data_type[col_name] = np.float64
elif ope == CONSTANT.OBJ_TYPE:
data_type[col_name] = np.int64
else:
logger.warn("type handling error")
pd_sheet = pd.read_excel(excel_file, sheet_name=data_table, usecols=use_col,
dtype=data_type)
Xs[data_table] = pd_sheet
if data_table == main_table:
X_apply = pd.read_excel(excel_file, sheet_name=apply_table, usecols=use_col,
dtype=data_type)
logger.info(pp.pformat(Xs))
for ws_name in Xs.keys():
write_excel_sheet(wb_out, "{}_desc".format(ws_name), Xs[ws_name].describe(include="all"), min_len=1)
write_excel_sheet(wb_out, "{}_desc".format(apply_table), X_apply.describe(include="all"), min_len=1)
logger.info("new AutoML instance")
amt_struct = {}
for t in table_structure:
for c in table_structure[t]:
if t not in amt_struct:
amt_struct[t] = []
if table_structure[t][c] != CONSTANT.OBJ_TYPE:
amt_struct[t].append((c, table_structure[t][c]))
logger.info(amt_struct)
amt = AutoMLTable({"struct": amt_struct}, key_col=key_column, main_tbl=main_table, apply_tbl=apply_table)
amt.n_trials = 100
obj = np.array(Xs[main_table][objective_column]).ravel()
scores, importance, proba_importances, cv_result, proba_cv_result, main_features = amt.make_model(Xs, obj)
pp.pprint(proba_importances)
ws_summary["A3"] = "cv scores (roc auc)"
for i, s in enumerate(scores):
ws_summary.cell(column=2+i, row=3, value=s)
ws_summary["A4"] = "cv scores prob (roc auc)"
for i, s in enumerate(proba_cv_result["scores"]):
ws_summary.cell(column=2+i, row=4, value=s)
imp_data = importance[0]
importance_sheet = pd.DataFrame()
importance_sheet["feature_name"] = [im[2] for im in imp_data]
importance_sheet["all_gain"] = [im[0] for im in imp_data]
importance_sheet["all_split"] = [im[1] for im in imp_data]
for i, imp in enumerate(proba_importances):
importance_sheet["all_probability-{}_gain".format(i)] = [imp[im[2]][0] for im in importance[0]]
for i, imp in enumerate(cv_result["importances"]):
importance_sheet["CVfold-{}_gain".format(i)] = [imp[1][im[2]][0] for im in importance[0]]
importance_sheet["CVfold-{}_split".format(i)] = [imp[1][im[2]][1] for im in importance[0]]
for j, imps in enumerate(proba_cv_result["importances"]):
for i, imp in enumerate(imps):
importance_sheet["CVfold_probability-{}-{}_gain".format(j, i)] = [imp[im[2]][0] for im in importance[0]]
write_excel_sheet(wb_out, "importance", importance_sheet, index=False)
cv_sheet = pd.DataFrame()
cv_sheet["predict_score"] = cv_result["preds"]
cv_sheet["fold_num"] = cv_result["preds_fold_num"]
cv_sheet["calibrated_probability"] = proba_cv_result["preds"]
cv_sheet["rank_in_fold"] = [-1 for i in cv_result["preds_fold_num"]]
cv_sheet["rank_percentile"] = [-1 for i in cv_result["preds_fold_num"]]
for fold_num, m in enumerate(cv_result["models"]):
cv_sheet.loc[cv_sheet["fold_num"] == fold_num, "rank_in_fold"] = \
cv_sheet[cv_sheet["fold_num"] == fold_num]["predict_score"].rank()
cv_sheet.loc[cv_sheet["fold_num"] == fold_num, "rank_percentile"] = \
cv_sheet[cv_sheet["fold_num"] == fold_num]["rank_in_fold"] / \
cv_sheet[cv_sheet["fold_num"] == fold_num]["rank_in_fold"].max()
cv_sheet[key_column] = Xs[main_table][key_column]
cv_sheet["truth"] = obj
for mf in main_features:
cv_sheet["feature[{}]".format(mf[0])] = mf[1].todense()
write_excel_sheet(wb_out, "cv_result", cv_sheet, index=False)
for_gain_graph = pd.DataFrame()
for_gain_graph["predict_score"] = [f for f in cv_sheet["predict_score"]]
for_gain_graph["rank"] = [f for f in cv_sheet["rank_percentile"]]
for_gain_graph["truth"] = [float(t) for t in cv_sheet["truth"]]
for_gain_graph[key_column] = [k for k in cv_sheet[key_column]]
for_gain_graph["fold_num"] = [k for k in cv_sheet["fold_num"]]
sum_truth = for_gain_graph["truth"].sum()
subsum_truth = 0.0
perfect_truth = 0.0
gain_list = []
perfect_list = []
random_list = []
for_gain_graph.sort_values("rank", inplace=True, ascending=False)
for idx, row in enumerate(for_gain_graph.itertuples()):
obj = row[3]
subsum_truth += obj
perfect_truth += 1.0
gain_list.append(subsum_truth / sum_truth)
perfect_list.append(min(perfect_truth / sum_truth, 1.0))
random_list.append((idx + 1.0) / len(for_gain_graph["rank"]))
for_gain_graph["this_model"] = gain_list
for_gain_graph["perfect_model"] = perfect_list
for_gain_graph["random"] = random_list
for_gain_graph["threasolds"] = ["=HLOOKUP(E{}, summary!A6:Z7, 2, FALSE)".format(2+i)
for i, r in enumerate(random_list)]
for_gain_graph["predict_label"] = ["=IF(A{} >= I{}, 1, 0)".format(2+i, 2+i) for i, r in enumerate(random_list)]
for_gain_graph["flag"] = ["=INT(100 + C{}*10 + J{})".format(2+i, 2+i) for i, r in enumerate(random_list)]
ws = write_excel_sheet(wb_out, "gain", for_gain_graph, index=False)
c1 = LineChart()
c1.title = "Gain chart"
c1.y_axis.title = 'cumulative gain'
c1.x_axis.title = 'rank'
data = Reference(ws, min_col=6, min_row=1, max_col=8, max_row=1 + len(gain_list))
c1.add_data(data, titles_from_data=True)
s2 = c1.series[1]
s2.graphicalProperties.line.dashStyle = "sysDot"
s3 = c1.series[2]
s3.graphicalProperties.line.dashStyle = "sysDot"
ws_summary["A20"] = "gain chart"
ws_summary.add_chart(c1, "A21")
ws_summary["A6"] = "model no"
for i, s in enumerate(range(len(cv_result["threasholds"]))):
ws_summary.cell(column=2+i, row=6, value=s)
ws_summary["A7"] = "threashold"
for i, s in enumerate(cv_result["threasholds"]):
ws_summary.cell(column=2+i, row=7, value=s)
ws_summary["A8"] = "precision"
ws_summary["A9"] = "recall"
ws_summary["A10"] = "f-value"
ws_summary["C11"] = "truth"
ws_summary["A13"] = "predict"
ws_summary["C12"] = "1"
ws_summary["D12"] = "0"
ws_summary["B13"] = "1"
ws_summary["B14"] = "0"
ws_summary["C13"] = "=COUNTIF(gain!K:K, 111)"
ws_summary["D13"] = "=COUNTIF(gain!K:K, 101)"
ws_summary["C14"] = "=COUNTIF(gain!K:K, 110)"
ws_summary["D14"] = "=COUNTIF(gain!K:K, 100)"
ws_summary["B8"] = "=C13/(C13+D13)"
ws_summary["B9"] = "=C13/(C13+C14)"
ws_summary["B10"] = "=(2*B9*B8)/(B8+B9)"
ws_summary["A16"] = "TOP"
ws_summary["B16"] = 0.1
ws_summary['B16'].number_format = '0.0%'
ws_summary["C16"] = "capture"
ws_summary["D16"] = '=SUM(INDIRECT("gain!C2:C"&INT(SUM(C13:D14)*(B16))+1))/SUM(INDIRECT("gain!C2:C"&INT(SUM(C13:D14))+1))'
ws_summary['D16'].number_format = '0.0%'
Xs[apply_table] = X_apply
del Xs[main_table]
pred, pred_proba, main_features = amt.apply(Xs, proba=True, out_main_feature=True)
pred_sheet = pd.DataFrame()
pred_sheet["predict_score"] = pred
pred_sheet["calibrated_probability"] = pred_proba
pred_sheet[key_column] = X_apply[key_column]
for mf in main_features:
pred_sheet["feature[{}]".format(mf[0])] = mf[1].todense()
write_excel_sheet(wb_out, "predict_all", pred_sheet, index=False)
pred, pred_proba, main_features = amt.apply_cv(Xs, proba=True, out_main_feature=True)
pred_sheet = pd.DataFrame()
pred_sheet["predict_score"] = pred
pred_sheet["calibrated_probability"] = pred_proba
pred_sheet[key_column] = X_apply[key_column]
for mf in main_features:
pred_sheet["feature[{}]".format(mf[0])] = mf[1].todense()
write_excel_sheet(wb_out, "predict_cv", pred_sheet, index=False)
wb_out.save(out_excel_file)
return
['Humans', 10, 40, 50, 20, 10, 50],
]
for row in rows:
ws.append(row)
c1 = BarChart()
v1 = Reference(ws, min_col=1, min_row=1, max_col=7)
c1.series = [Series(v1, title_from_data=True)]
c1.x_axis.title = 'Days'
c1.y_axis.title = 'Aliens'
c1.y_axis.majorGridlines = None
c1.title = 'Survey results'
# Create a second chart
c2 = LineChart()
v2 = Reference(ws, min_col=1, min_row=2, max_col=7)
c2.series = [Series(v2, title_from_data=True)]
c2.y_axis.axId = 20
c2.y_axis.title = "Humans"
# Assign the y-axis of the second chart to the third axis of the first chart
c1.z_axis = c2.y_axis
c1.y_axis.crosses = "max"
c1 += c2
ws.add_chart(c1, "D4")
wb.save("secondary.xlsx")
def test_monitor():
wb_tpl = Workbook()
ws = wb_tpl.active
# ws = wb_tpl.worksheets[0]
ws.title = "Monitor"
"""
[
[2018/06/17 23:47:11,17.0,16.71],
[2018/06/17 23:47:13,1.5,17.01],
[2018/06/17 23:47:15,2.9,17.04],
...
]
"""
data_list = CSVUtils.readCSVRowsList("Monitor.csv")
_max_row = len(data_list)
_max_col = 3
for row_index, rows in enumerate(data_list):
for col_index, value in enumerate(rows):
if (row_index == 0):
ws.cell(row=row_index + 1, column=col_index + 1).value = value
else:
if (col_index == 0):
ws.cell(row=row_index + 1,
column=col_index + 1).value = datetime.strptime(
value, DATE_TIME_FORMAT)
ws.cell(row=row_index + 1,
column=col_index + 1).number_format = 'HH:mm:ss'
else:
ws.cell(row=row_index + 1,
column=col_index + 1).value = float(value)
chart1 = LineChart()
chart1.title = "CPU/Memory Mornitor"
chart1.style = 2 # default style when new a line chart
chart1.height = 15 # default is 7.5
chart1.width = 30 # default is 15
chart1.legend.position = "b"
chart1.y_axis.scaling.min = 0
chart1.y_axis.scaling.max = 100
# chart1.y_axis.title = 'Pecent'
# chart1.x_axis.title = 'Time'
# set y-axis
data = Reference(ws,
min_col=2,
min_row=1,
max_col=_max_col,
max_row=_max_row)
chart1.add_data(data, titles_from_data=True)
# set time as category(x-axis)
cats = Reference(ws, min_col=1, min_row=1, max_row=_max_row)
chart1.set_categories(cats)
# Style the lines
# s1 = c1.series[0]
# s1.marker.symbol = "triangle"
# s1.marker.graphicalProperties.solidFill = "FF0000" # Marker filling
# s1.marker.graphicalProperties.line.solidFill = "FF0000" # Marker outline
# s1.graphicalProperties.line.noFill = True
s2 = chart1.series[0]
s2.smooth = True # Make the line smooth
# s2.graphicalProperties.line.solidFill = "00AAAA"
# s2.graphicalProperties.line.dashStyle = "sysDot"
# s2.graphicalProperties.line.width = 100050 # width in EMUs
s2 = chart1.series[1]
s2.smooth = True # Make the line smooth
# chart1.x_axis.tickLblPos = "low"
# chart1.x_axis.tickLblSkip = 3 # whatever you like
ws.add_chart(chart1, "F10")
dest_filename = 'test2.xlsx'
wb_tpl.save(filename=dest_filename)
def writeReport(self, filename, trades):
if not isinstance(trades, ExtendedTradesAnalyzer):
raise Exception(
"trades should be an instance of ExtendedTradesAnalyzer")
wb = Workbook()
names = wb.sheetnames
for name in names:
wb.remove_sheet(wb.get_sheet_by_name(name))
summarySheet = wb.create_sheet(title="Summary")
trades_sheet = wb.create_sheet(title="Trades")
equityGraph_sheet = wb.create_sheet(title="EquityChart")
detailedEquityGraph_sheet = wb.create_sheet(
title="DetailedEquityChart")
# ----- Trades sheeet -----
numFormat = "[BLACK][>=0]#,##0.0000;[RED][<0]\\(#,##0.0000\\);General"
perFormat = "[BLACK][>=0]#0.00%;[RED][<0]\\(#0.00%\);General"
headerFont = Font(name="Arial", bold=True)
headerAlign = Alignment(horizontal='center')
header_fill = PatternFill(start_color='AAAAAA',
end_color='AAAAAA',
fill_type='solid')
highlightFill = PatternFill(start_color='EEEE99',
end_color='EEEE99',
fill_type='solid')
highlightBorder = Border(
bottom=Side(border_style="thin", color="000000"))
standardFont = Font(name="Arial", size="10")
for col in range(1, 10):
trades_sheet.cell(row=1, column=col).font = headerFont
trades_sheet.cell(row=1, column=col).fill = header_fill
trades_sheet.cell(row=1, column=col).alignment = headerAlign
trades_sheet['A1'] = "Trade #\nType"
trades_sheet['B1'] = "Date"
trades_sheet['C1'] = "Time"
trades_sheet['D1'] = "Price"
trades_sheet['E1'] = "Contracts\nProfit"
trades_sheet['F1'] = "% Profit\nCum Profit"
trades_sheet['G1'] = "Run-up\nDrawdown"
trades_sheet['H1'] = "Entry Eff.\nExit Eff."
trades_sheet['I1'] = "Total\nEfficiency"
allTrades = trades.getAll()
allReturns = trades.getAllReturns()
allEntryDates = trades.allEnterDates
allExitDates = trades.allExitDates
longFlags = trades.allLongFlags
entryPrices = trades.allEntryPrices
exitPrices = trades.allExitPrices
allContracts = trades.allContracts
allCommissions = trades.getCommissionsForAllTrades()
excelRow = 2
cumulativeProfit = 0
cumulativePnL = 0
cumulativeLosses = 0
# ----- Equity graph sheet -----
equityGraph_sheet.cell(row=1, column=1, value="Trade #")
equityGraph_sheet.cell(row=1, column=2, value="Equity")
# -----Detailed Equity graph sheet -----
detailedEquityGraph_sheet.cell(row=1, column=1, value="Timestamp")
detailedEquityGraph_sheet.cell(row=1, column=2, value="Equity")
r = 2
for x in sorted(trades.cumPnlDict):
detailedEquityGraph_sheet.cell(row=r, column=1, value=x)
detailedEquityGraph_sheet.cell(row=r,
column=2,
value=trades.cumPnlDict[x])
r += 1
# Add chart
c1 = LineChart()
c1.title = "Equity curve"
c1.style = 13
c1.y_axis.title = 'Equity'
c1.x_axis.title = 'Date'
c1.y_axis.auto = True
c1.y_axis.delete = False
c1.x_axis = DateAxis(crossAx=100)
c1.x_axis.number_format = 'd-mmm'
c1.x_axis.majorTimeUnit = "days"
c1.x_axis.delete = False
# c1.x_axis.auto = True
c1.legend = None
x = Reference(detailedEquityGraph_sheet,
min_col=1,
min_row=2,
max_row=len(trades.cumPnlDict) + 2)
y = Reference(detailedEquityGraph_sheet,
min_col=2,
min_row=2,
max_row=len(trades.cumPnlDict) + 2)
c1.add_data(y)
c1.series[0].smooth = False
c1.series[0].graphicalProperties.line.solidFill = "000000"
c1.series[0].graphicalProperties.line.width = 10000 # width in EMUs
c1.width = 30
c1.height = 15
detailedEquityGraph_sheet.add_chart(c1, "D3")
for i in range(0, trades.getCount()):
# --- Trades sheet ---
for col in range(1, 10):
trades_sheet.cell(row=excelRow, column=col).font = standardFont
trades_sheet.cell(row=excelRow + 1,
column=col).font = standardFont
trades_sheet.cell(row=excelRow, column=1, value=i + 1)
trades_sheet.cell(
row=excelRow,
column=1).alignment = Alignment(horizontal='center')
if longFlags[i]:
buySell = "Buy"
else:
buySell = "Sell"
trades_sheet.cell(row=excelRow + 1, column=1, value=buySell)
trades_sheet.cell(
row=excelRow + 1,
column=1).alignment = Alignment(horizontal='center')
entryDate = allEntryDates[i]
exitDate = allExitDates[i]
trades_sheet.cell(row=excelRow,
column=2,
value=entryDate.strftime("%Y-%m-%d"))
trades_sheet.cell(row=excelRow + 1,
column=2,
value=exitDate.strftime("%Y-%m-%d"))
trades_sheet.cell(row=excelRow,
column=3,
value=entryDate.strftime("%H:%M"))
trades_sheet.cell(row=excelRow + 1,
column=3,
value=exitDate.strftime("%H:%M"))
trades_sheet.cell(row=excelRow, column=4, value=entryPrices[i])
trades_sheet.cell(row=excelRow + 1, column=4, value=exitPrices[i])
trades_sheet.cell(row=excelRow,
column=5,
value=abs(allContracts[i]))
trades_sheet.cell(row=excelRow + 1, column=5, value=allTrades[i])
# TODO(max): Should this include or exclude commissions?
trades_sheet.cell(row=excelRow + 1,
column=5).number_format = numFormat
# TODO(max): Check formula with commissions!
profitPerc = (
(exitPrices[i] - allCommissions[i] / allContracts[i]) /
entryPrices[i]) - 1
if not longFlags[i]:
# TODO(max): Check formula with commissions!
profitPerc = -profitPerc
trades_sheet.cell(row=excelRow, column=6, value=profitPerc)
trades_sheet.cell(row=excelRow, column=6).number_format = perFormat
# if longFlags[i]:
# profit = (exitPrices[i]-entryPrices[i])*allContracts[i]
# else:
# profit = -(exitPrices[i]-entryPrices[i])*allContracts[i]
cumulativePnL = cumulativePnL + allTrades[i]
if allTrades[i] > 0:
cumulativeProfit = cumulativeProfit + allTrades[i]
else:
cumulativeLosses = cumulativeLosses + allTrades[i]
trades_sheet.cell(row=excelRow + 1, column=6, value=cumulativePnL)
trades_sheet.cell(row=excelRow + 1,
column=6).number_format = numFormat
# Runup & Drawdown
trades_sheet.cell(row=excelRow,
column=7,
value=trades.allRunups[i])
trades_sheet.cell(row=excelRow, column=7).number_format = numFormat
trades_sheet.cell(row=excelRow + 1,
column=7,
value=trades.allDrawDowns[i])
trades_sheet.cell(row=excelRow + 1,
column=7).number_format = numFormat
# Entry & Exit efficiencies
trades_sheet.cell(row=excelRow,
column=8,
value=trades.allEntryEff[i])
trades_sheet.cell(row=excelRow, column=8).number_format = perFormat
trades_sheet.cell(row=excelRow + 1,
column=8,
value=trades.allExitEff[i])
trades_sheet.cell(row=excelRow + 1,
column=8).number_format = perFormat
# Total efficiency
trades_sheet.cell(row=excelRow + 1,
column=9,
value=trades.allTotalEff[i])
trades_sheet.cell(row=excelRow + 1,
column=9).number_format = perFormat
# Set standard font, and highlight style for 2nd row of trade
for col in range(1, 10):
# 1st row
trades_sheet.cell(row=excelRow, column=col).font = standardFont
# 2nd row
trades_sheet.cell(row=excelRow + 1,
column=col).font = standardFont
trades_sheet.cell(row=excelRow + 1,
column=col).fill = highlightFill
trades_sheet.cell(row=excelRow + 1,
column=col).border = highlightBorder
excelRow = excelRow + 2
# ----- Equity graph sheet -----
equityGraph_sheet.cell(row=i + 2, column=1, value=i + 1)
equityGraph_sheet.cell(row=i + 2,
column=2,
value=trades.initialEquity + cumulativePnL)
if trades.openPosition is not None:
pos = trades.openPosition.getPosition()
if pos != 0:
i += 1
for col in range(1, 10):
trades_sheet.cell(row=excelRow,
column=col).font = standardFont
trades_sheet.cell(row=excelRow + 1,
column=col).font = standardFont
trades_sheet.cell(row=excelRow + 1,
column=col).fill = highlightFill
trades_sheet.cell(row=excelRow + 1,
column=col).border = highlightBorder
isLong = trades.openPosition.isLong
trades_sheet.cell(row=excelRow, column=1, value=i + 1)
trades_sheet.cell(
row=excelRow,
column=1).alignment = Alignment(horizontal='center')
if isLong:
buySell = "Buy"
else:
buySell = "Sell"
trades_sheet.cell(row=excelRow + 1, column=1, value=buySell)
trades_sheet.cell(
row=excelRow + 1,
column=1).alignment = Alignment(horizontal='center')
entryDate = trades.openPosition.entryDate
trades_sheet.cell(row=excelRow,
column=2,
value=entryDate.strftime("%Y-%m-%d"))
trades_sheet.cell(row=excelRow + 1,
column=2,
value=entryDate.strftime("Open"))
trades_sheet.cell(row=excelRow,
column=3,
value=entryDate.strftime("%H:%M"))
entryPrice = trades.openPosition.entryPrice
trades_sheet.cell(row=excelRow, column=4, value=entryPrice)
trades_sheet.cell(row=excelRow + 1, column=4, value="--")
trades_sheet.cell(row=excelRow, column=5, value=abs(pos))
trades_sheet.cell(row=excelRow + 1, column=5, value="--")
trades_sheet.cell(row=excelRow, column=6, value="--")
trades_sheet.cell(row=excelRow + 1, column=6, value="--")
trades_sheet.cell(row=excelRow, column=8, value="--")
trades_sheet.cell(row=excelRow + 1, column=8, value="--")
trades_sheet.cell(row=excelRow + 1, column=9, value="--")
# ----- Equity graph sheet -----
# Add chart
c1 = LineChart()
c1.title = "Equity curve"
c1.style = 13
c1.y_axis.title = 'Equity'
c1.x_axis.title = 'Trade #'
c1.x_axis.scaling.min = 0
c1.x_axis.scaling.max = len(allTrades) + 3
c1.x_axis.auto = True
c1.y_axis.auto = True
c1.x_axis.delete = False
c1.y_axis.delete = False
c1.legend = None
x = Reference(equityGraph_sheet,
min_col=1,
min_row=2,
max_row=len(allTrades) + 2)
y = Reference(equityGraph_sheet,
min_col=2,
min_row=2,
max_row=len(allTrades) + 2)
c1.add_data(y)
c1.series[0].smooth = False
c1.series[0].graphicalProperties.line.solidFill = "000000"
c1.series[0].graphicalProperties.line.width = 10000 # width in EMUs
c1.width = 30
c1.height = 15
equityGraph_sheet.add_chart(c1, "D3")
# ----- Summary sheeet -----
titleFont = Font(name="Arial", size=18, bold=True)
titleAlign = Alignment(horizontal='center')
headerFont = Font(name="Arial", size=14, bold=True)
headerAlign = Alignment(horizontal='left')
standardFont = Font(name="Arial", size=10)
summarySheet['A1'] = "Strategy Performance Report"
summarySheet.merge_cells("A1:I1")
summarySheet['A1'].font = titleFont
summarySheet['A1'].alignment = titleAlign
summarySheet["B6"] = "Performance Summary: All Trades"
summarySheet["B6"].font = headerFont
summarySheet["B6"].alignment = headerAlign
summarySheet["B8"] = "Net Profits"
summarySheet["D8"] = cumulativeProfit + cumulativeLosses
summarySheet["D8"].number_format = numFormat
summarySheet["F8"] = "Open position P/L"
summarySheet["H8"] = ""
summarySheet["B9"] = "Gross Profits"
summarySheet["D9"] = cumulativeProfit
summarySheet["D9"].number_format = numFormat
summarySheet["D9"].comment = Comment(
"Net profits - Gross losses, i.e. Net profits + Abs(Gross losses)",
"Report")
summarySheet["F9"] = "Gross Losses"
summarySheet["H9"] = cumulativeLosses
summarySheet["H9"].number_format = numFormat
summarySheet["B11"] = "Total num. of trades"
summarySheet["D11"] = trades.getCount()
summarySheet["F11"] = "Percent profitable"
if trades.getCount() > 0:
summarySheet["H11"] = float(trades.getProfitableCount()) / float(
trades.getCount())
else:
summarySheet["H11"] = 0
summarySheet["H11"].number_format = perFormat
summarySheet["B12"] = "Num. of winning trades"
summarySheet["D12"] = trades.getProfitableCount()
summarySheet["F12"] = "Num. of losing trades"
summarySheet["H12"] = trades.getUnprofitableCount()
summarySheet["B14"] = "Largest winning trade"
if trades.getProfitableCount() > 0:
summarySheet["D14"] = allTrades.max()
else:
summarySheet["D14"] = 0
summarySheet["D14"].number_format = numFormat
summarySheet["F14"] = "Largest losing trade"
if trades.getUnprofitableCount() > 0:
summarySheet["H14"] = allTrades.min()
else:
summarySheet["H14"] = 0
summarySheet["H14"].number_format = numFormat
def negativeToZero(x):
if x > 0:
return x
else:
return 0
def positiveToZero(x):
if x >= 0:
return 0
else:
return x
avgWin = 0
avgLoss = 0
if trades.getProfitableCount() > 0:
avgWin = cumulativeProfit / trades.getProfitableCount()
summarySheet["B15"] = "Average winning trade"
summarySheet["D15"] = avgWin
summarySheet["D15"].number_format = numFormat
if trades.getUnprofitableCount() > 0:
avgLoss = cumulativeLosses / trades.getUnprofitableCount()
summarySheet["F15"] = "Average losing trade"
summarySheet["H15"] = avgLoss
summarySheet["H15"].number_format = numFormat
summarySheet["B16"] = "Ratio avg. win/avg. loss"
if avgLoss != 0:
summarySheet["D16"] = -avgWin / avgLoss
else:
summarySheet["D16"] = 'NaN'
summarySheet["D16"].number_format = numFormat
summarySheet["F16"] = "Avg trade (win & loss)"
if trades.getCount() > 0:
summarySheet["H16"] = cumulativePnL / trades.getCount()
else:
summarySheet["H16"] = 0
summarySheet["H16"].number_format = numFormat
summarySheet["B21"] = "Max intraday drawdown"
summarySheet["D21"] = ""
summarySheet["B22"] = "Profit factor"
if cumulativeLosses != 0:
summarySheet["D22"] = -cumulativeProfit / cumulativeLosses
summarySheet["D22"].number_format = numFormat
else:
summarySheet["D22"] = "Inf"
summarySheet["D22"].comment = Comment("- Gross profits / Gross losses",
"Report")
summarySheet["F22"] = "Max contracts held"
summarySheet["H22"] = ""
summarySheet["B23"] = "Account size required"
summarySheet["D23"] = "" # ABS(max intraday drawdown)
summarySheet["F23"] = "Return on account"
summarySheet["H23"] = "" # net profit / account size required
# Save the file
wb.save(filename)
for row in rows:
ws.append(row)
c1 = BarChart()
v1 = Reference(ws, min_col=1, min_row=1, max_col=7)
c1.add_data(v1, titles_from_data=True, from_rows=True)
c1.x_axis.title = 'Days'
c1.y_axis.title = 'Aliens'
c1.y_axis.majorGridlines = None
c1.title = 'Survey results'
# Create a second chart
c2 = LineChart()
v2 = Reference(ws, min_col=1, min_row=2, max_col=7)
v3 = Reference(ws, min_col=1, min_row=3, max_col=7)
v4 = Reference(ws, min_col=1, min_row=4, max_col=7)
v5 = Reference(ws, min_col=1, min_row=5, max_col=7)
c2.add_data(v2, titles_from_data=True, from_rows=True)
c2.y_axis.axId = 200
c2.y_axis.title = "Humans"
c2.add_data(v3, titles_from_data=True, from_rows=True)
c2.add_data(v4, titles_from_data=True, from_rows=True)
c2.add_data(v5, titles_from_data=True, from_rows=True)
s1 = c2.series[3]
s1.graphicalProperties.line.noFill = True
s1.marker.symbol = "circle"
s1.marker.size = 14 # width in EMUs
def generate_excel(report,
name,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# for i in range(2, 37 + 1):
# ws.row_dimensions[i].height = 30
#
# for i in range(38, 90 + 1):
# ws.row_dimensions[i].height = 30
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000')
)
b_border = Border(
bottom=Side(border_style='medium', color='00000000'),
)
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_r_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
ws.add_image(img, 'B1')
# Title
ws.row_dimensions[3].height = 60
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
#################################################
reporting_period_data = report['reporting_period']
has_energy_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_energy_data_flag = False
if has_energy_data_flag:
ws['B6'].font = title_font
ws['B6'] = name + ' 报告期成本'
category = reporting_period_data['names']
ca_len = len(category)
ws.row_dimensions[7].height = 60
ws['B7'].fill = table_fill
ws['B7'].border = f_border
ws['B8'].font = title_font
ws['B8'].alignment = c_c_alignment
ws['B8'] = '成本'
ws['B8'].border = f_border
ws['B9'].font = title_font
ws['B9'].alignment = c_c_alignment
ws['B9'] = '单位面积值'
ws['B9'].border = f_border
ws['B10'].font = title_font
ws['B10'].alignment = c_c_alignment
ws['B10'] = '环比'
ws['B10'].border = f_border
col = 'B'
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + '7'].fill = table_fill
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(reporting_period_data['subtotals'][i], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = round(reporting_period_data['subtotals_per_unit_area'][i], 2)
ws[col + '9'].border = f_border
ws[col + '10'].font = name_font
ws[col + '10'].alignment = c_c_alignment
ws[col + '10'] = str(round(reporting_period_data['increment_rates'][i] * 100, 2)) + "%" \
if reporting_period_data['increment_rates'][i] is not None else "-"
ws[col + '10'].border = f_border
end_col = chr(ord(col) + 1)
ws[end_col + '7'].fill = table_fill
ws[end_col + '7'].font = name_font
ws[end_col + '7'].alignment = c_c_alignment
ws[end_col + '7'] = "总计 (" + reporting_period_data['total_unit'] + ")"
ws[end_col + '7'].border = f_border
ws[end_col + '8'].font = name_font
ws[end_col + '8'].alignment = c_c_alignment
ws[end_col + '8'] = round(reporting_period_data['total'], 2)
ws[end_col + '8'].border = f_border
ws[end_col + '9'].font = name_font
ws[end_col + '9'].alignment = c_c_alignment
ws[end_col + '9'] = round(reporting_period_data['total_per_unit_area'], 2)
ws[end_col + '9'].border = f_border
ws[end_col + '10'].font = name_font
ws[end_col + '10'].alignment = c_c_alignment
ws[end_col + '10'] = str(round(reporting_period_data['total_increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['total_increment_rate'] is not None else "-"
ws[end_col + '10'].border = f_border
else:
for i in range(6, 10 + 1):
ws.row_dimensions[i].height = 0.1
#################################################
has_ele_peak_flag = True
if "toppeaks" not in reporting_period_data.keys() or \
reporting_period_data['toppeaks'] is None or \
len(reporting_period_data['toppeaks']) == 0:
has_ele_peak_flag = False
if has_ele_peak_flag:
ws['B12'].font = title_font
ws['B12'] = name + '分时用电成本'
ws['B13'].fill = table_fill
ws['B13'].font = name_font
ws['B13'].alignment = c_c_alignment
ws['B13'].border = f_border
ws['C13'].fill = table_fill
ws['C13'].font = name_font
ws['C13'].alignment = c_c_alignment
ws['C13'].border = f_border
ws['C13'] = '分时用电成本'
ws['D13'].fill = table_fill
ws['D13'].font = name_font
ws['D13'].alignment = c_c_alignment
ws['D13'].border = f_border
ws['D13'] = '分时用电成本占比'
wssum = round(reporting_period_data['toppeaks'][0], 2) + round(reporting_period_data['onpeaks'][0], 2) + round(
reporting_period_data['midpeaks'][0], 2) + round(reporting_period_data['offpeaks'][0], 2)
ws['B14'].font = title_font
ws['B14'].alignment = c_c_alignment
ws['B14'] = '尖'
ws['B14'].border = f_border
ws['C14'].font = title_font
ws['C14'].alignment = c_c_alignment
ws['C14'].border = f_border
ws['C14'] = round(reporting_period_data['toppeaks'][0], 2)
ws['D14'].font = title_font
ws['D14'].alignment = c_c_alignment
ws['D14'].border = f_border
ws['D14'] = '{:.2%}'.format(round(reporting_period_data['toppeaks'][0], 2) / wssum) \
if wssum is not None and wssum != 0 else "0.00%"
ws['B15'].font = title_font
ws['B15'].alignment = c_c_alignment
ws['B15'] = '峰'
ws['B15'].border = f_border
ws['C15'].font = title_font
ws['C15'].alignment = c_c_alignment
ws['C15'].border = f_border
ws['C15'] = round(reporting_period_data['onpeaks'][0], 2)
ws['D15'].font = title_font
ws['D15'].alignment = c_c_alignment
ws['D15'].border = f_border
ws['D15'] = '{:.2%}'.format(round(reporting_period_data['onpeaks'][0], 2) / wssum) \
if wssum is not None and wssum != 0 else "0.00%"
ws['B16'].font = title_font
ws['B16'].alignment = c_c_alignment
ws['B16'] = '平'
ws['B16'].border = f_border
ws['C16'].font = title_font
ws['C16'].alignment = c_c_alignment
ws['C16'].border = f_border
ws['C16'] = round(reporting_period_data['midpeaks'][0], 2)
ws['D16'].font = title_font
ws['D16'].alignment = c_c_alignment
ws['D16'].border = f_border
ws['D16'] = '{:.2%}'.format(round(reporting_period_data['midpeaks'][0], 2) / wssum) \
if wssum is not None and wssum != 0 else "0.00%"
ws['B17'].font = title_font
ws['B17'].alignment = c_c_alignment
ws['B17'] = '谷'
ws['B17'].border = f_border
ws['C17'].font = title_font
ws['C17'].alignment = c_c_alignment
ws['C17'].border = f_border
ws['C17'] = round(reporting_period_data['offpeaks'][0], 2)
ws['D17'].font = title_font
ws['D17'].alignment = c_c_alignment
ws['D17'].border = f_border
ws['D17'] = '{:.2%}'.format(round(reporting_period_data['offpeaks'][0], 2) / wssum) \
if wssum is not None and wssum != 0 else "0.00%"
pie = PieChart()
pie.title = name + '分时用电成本'
labels = Reference(ws, min_col=2, min_row=14, max_row=17)
pie_data = Reference(ws, min_col=3, min_row=13, max_row=17)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 6.6
pie.width = 9
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False
s1.dLbls.showVal = True
s1.dLbls.showPercent = True
ws.add_chart(pie, "E13")
else:
for i in range(12, 18 + 1):
ws.row_dimensions[i].height = 0.1
################################################
current_row_number = 19
has_subtotals_data_flag = True
if "subtotals" not in reporting_period_data.keys() or \
reporting_period_data['subtotals'] is None or \
len(reporting_period_data['subtotals']) == 0:
has_subtotals_data_flag = False
if has_subtotals_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 成本占比'
current_row_number += 1
table_start_row_number = current_row_number
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = name_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].fill = table_fill
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = '成本'
ws['D' + str(current_row_number)].fill = table_fill
ws['D' + str(current_row_number)].font = name_font
ws['D' + str(current_row_number)].alignment = c_c_alignment
ws['D' + str(current_row_number)].border = f_border
ws['D' + str(current_row_number)] = '成本占比'
current_row_number += 1
ca_len = len(reporting_period_data['names'])
wssum = 0
for i in range(0, ca_len):
wssum = round(reporting_period_data['subtotals'][i], 2) + wssum
for i in range(0, ca_len):
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)] = reporting_period_data['names'][i]
ws['B' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].font = title_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)
ws['D' + str(current_row_number)].font = title_font
ws['D' + str(current_row_number)].alignment = c_c_alignment
ws['D' + str(current_row_number)].border = f_border
ws['D' + str(current_row_number)] = '{:.2%}'.format(round(reporting_period_data['subtotals'][i], 2) /
wssum) if wssum is not None and wssum != 0 else "0.00%"
current_row_number += 1
table_end_row_number = current_row_number - 1
pie = PieChart()
pie.title = name + ' 成本占比'
labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number)
pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 6.6
pie.width = 9
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False
s1.dLbls.showVal = True
s1.dLbls.showPercent = True
table_cell = 'E' + str(table_start_row_number)
ws.add_chart(pie, table_cell)
if ca_len < 4:
current_row_number = current_row_number - ca_len + 4
else:
for i in range(21, 29 + 1):
current_row_number = 30
ws.row_dimensions[i].height = 0.1
###############################################
current_row_number += 1
has_detail_data_flag = True
table_start_draw_flag = current_row_number + 1
if "timestamps" not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0:
has_detail_data_flag = False
if has_detail_data_flag:
reporting_period_data = report['reporting_period']
times = reporting_period_data['timestamps']
ca_len = len(report['reporting_period']['names'])
parameters_names_len = len(report['parameters']['names'])
parameters_parameters_datas_len = 0
for i in range(0, parameters_names_len):
if len(report['parameters']['timestamps'][i]) == 0:
continue
parameters_parameters_datas_len += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 详细数据'
detail_data_table_start_row_number = current_row_number + (ca_len + parameters_parameters_datas_len) * 6 + 3
current_row_number = detail_data_table_start_row_number
time = times[0]
has_data = False
if len(time) > 0:
has_data = True
if has_data:
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)] = '日期时间'
col = 'B'
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)] = \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
ws[col + str(current_row_number)].border = f_border
end_col = chr(ord(col) + 1)
ws[end_col + str(current_row_number)].fill = table_fill
ws[end_col + str(current_row_number)].font = title_font
ws[end_col + str(current_row_number)].alignment = c_c_alignment
ws[end_col + str(current_row_number)] = "总计 (" + reporting_period_data['total_unit'] + ")"
ws[end_col + str(current_row_number)].border = f_border
current_row_number += 1
for i in range(0, len(time)):
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)] = time[i]
ws['B' + str(current_row_number)].border = f_border
col = 'B'
every_day_total = 0
for j in range(0, ca_len):
col = chr(ord('C') + j)
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
value = round(reporting_period_data['values'][j][i], 2)
every_day_total += value
ws[col + str(current_row_number)] = value
ws[col + str(current_row_number)].border = f_border
end_col = chr(ord(col) + 1)
ws[end_col + str(current_row_number)].font = title_font
ws[end_col + str(current_row_number)].alignment = c_c_alignment
ws[end_col + str(current_row_number)] = round(every_day_total, 2)
ws[end_col + str(current_row_number)].border = f_border
current_row_number += 1
table_end_row_number = current_row_number - 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)] = '小计'
ws['B' + str(current_row_number)].border = f_border
col = 'B'
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)
ws[col + str(current_row_number)].border = f_border
# line
line = LineChart()
line.title = '报告期成本 - ' + \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
labels = Reference(ws, min_col=2, min_row=detail_data_table_start_row_number + 1,
max_row=table_end_row_number)
line_data = Reference(ws, min_col=3 + i, min_row=detail_data_table_start_row_number,
max_row=table_end_row_number)
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(table_start_draw_flag + 6 * i)
ws.add_chart(line, chart_cell)
end_col = chr(ord(col) + 1)
ws[end_col + str(current_row_number)].font = title_font
ws[end_col + str(current_row_number)].alignment = c_c_alignment
ws[end_col + str(current_row_number)] = round(reporting_period_data['total'], 2)
ws[end_col + str(current_row_number)].border = f_border
current_row_number += 1
else:
for i in range(30, 69 + 1):
current_row_number = 70
ws.row_dimensions[i].height = 0.1
##########################################
has_parameters_names_and_timestamps_and_values_data = True
ca_len = len(report['reporting_period']['names'])
current_sheet_parameters_row_number = table_start_draw_flag + ca_len * 6
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
if has_parameters_names_and_timestamps_and_values_data:
###############################
# new worksheet
###############################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
parameters_ws = wb.create_sheet('相关参数')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12 + parameters_names_len * 3):
parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
parameters_ws.add_image(img, 'B1')
# Title
parameters_ws.row_dimensions[3].height = 60
parameters_ws['B3'].font = name_font
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'].font = name_font
parameters_ws['C3'] = name
parameters_ws['D3'].font = name_font
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'].font = name_font
parameters_ws['E3'] = period_type
parameters_ws['F3'].font = name_font
parameters_ws['F3'].alignment = b_r_alignment
parameters_ws['F3'] = 'Date:'
parameters_ws['G3'].border = b_border
parameters_ws['G3'].alignment = b_c_alignment
parameters_ws['G3'].font = name_font
parameters_ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
parameters_ws.merge_cells("G3:H3")
parameters_ws_current_row_number = 6
parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font
parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' 相关参数'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 'B'
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number - 1)].fill = table_fill
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number - 1)].border = f_border
col = decimal_to_column(column_to_decimal(table_current_col_number) + 1)
parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = table_current_col_number
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = decimal_to_column(column_to_decimal(col) + 1)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = decimal_to_column(column_to_decimal(table_current_col_number) + 3)
########################################################
# parameters chart and parameters table
########################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(current_sheet_parameters_row_number)] = name + ' 相关参数'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3 + col_index * 3
labels_col = 2 + col_index * 3
col_index += 1
line.title = '相关参数 - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number))
line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
def generate_excel(report, name, reporting_start_datetime_local,
reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
# data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000'))
b_border = Border(bottom=Side(border_style='medium', color='00000000'), )
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=False,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=False,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=False,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
# img = Image("myems.png")
ws.add_image(img, 'B1')
# Title
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
#################################################
# First: 统计分析
# 6: title
# 7: table title
# 8~ca_len table_data
#################################################
reporting_period_data = report['reporting_period']
has_energy_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_energy_data_flag = False
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
if has_energy_data_flag:
ws['B6'].font = title_font
ws['B6'] = name + ' 统计分析'
category = reporting_period_data['names']
# table_title
ws['B7'].fill = table_fill
ws['B7'].font = title_font
ws['B7'].alignment = c_c_alignment
ws['B7'] = '报告期'
ws['B7'].border = f_border
ws['C7'].font = title_font
ws['C7'].alignment = c_c_alignment
ws['C7'] = '算术平均数'
ws['C7'].border = f_border
ws['D7'].font = title_font
ws['D7'].alignment = c_c_alignment
ws['D7'] = '中位数'
ws['D7'].border = f_border
ws['E7'].font = title_font
ws['E7'].alignment = c_c_alignment
ws['E7'] = '最小值'
ws['E7'].border = f_border
ws['F7'].font = title_font
ws['F7'].alignment = c_c_alignment
ws['F7'] = '最大值'
ws['F7'].border = f_border
ws['G7'].font = title_font
ws['G7'].alignment = c_c_alignment
ws['G7'] = '样本标准差'
ws['G7'].border = f_border
ws['H7'].font = title_font
ws['H7'].alignment = c_c_alignment
ws['H7'] = '样本方差'
ws['H7'].border = f_border
# table_data
for i, value in enumerate(category):
row = i * 2 + 8
ws['B' + str(row)].font = name_font
ws['B' + str(row)].alignment = c_c_alignment
ws['B' + str(row)] = reporting_period_data['names'][
i] + " (" + reporting_period_data['units'][i] + " )"
ws['B' + str(row)].border = f_border
ws['B' + str(row + 1)].font = name_font
ws['B' + str(row + 1)].alignment = c_c_alignment
ws['B' + str(row + 1)] = "环比"
ws['B' + str(row + 1)].border = f_border
ws['C' + str(row)].font = name_font
ws['C' + str(row)].alignment = c_c_alignment
ws['C' + str(row)] = round(reporting_period_data['means'][i], 2) \
if reporting_period_data['means'][i] is not None else ''
ws['C' + str(row)].border = f_border
ws['C' + str(row)].number_format = '0.00'
ws['C' + str(row + 1)].font = name_font
ws['C' + str(row + 1)].alignment = c_c_alignment
ws['C' + str(row + 1)] = str(round(reporting_period_data['means_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['means_increment_rate'][i] is not None else '0.00%'
ws['C' + str(row + 1)].border = f_border
ws['D' + str(row)].font = name_font
ws['D' + str(row)].alignment = c_c_alignment
ws['D' + str(row)] = round(reporting_period_data['medians'][i], 2) \
if reporting_period_data['medians'][i] is not None else ''
ws['D' + str(row)].border = f_border
ws['D' + str(row)].number_format = '0.00'
ws['D' + str(row + 1)].font = name_font
ws['D' + str(row + 1)].alignment = c_c_alignment
ws['D' + str(row + 1)] = str(round(reporting_period_data['medians_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['medians_increment_rate'][i] is not None else '0.00%'
ws['D' + str(row + 1)].border = f_border
ws['E' + str(row)].font = name_font
ws['E' + str(row)].alignment = c_c_alignment
ws['E' + str(row)] = round(reporting_period_data['minimums'][i], 2) \
if reporting_period_data['minimums'][i] is not None else ''
ws['E' + str(row)].border = f_border
ws['E' + str(row)].number_format = '0.00'
ws['E' + str(row + 1)].font = name_font
ws['E' + str(row + 1)].alignment = c_c_alignment
ws['E' + str(row + 1)] = str(round(reporting_period_data['minimums_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['minimums_increment_rate'][i] is not None else '0.00%'
ws['E' + str(row + 1)].border = f_border
ws['F' + str(row)].font = name_font
ws['F' + str(row)].alignment = c_c_alignment
ws['F' + str(row)] = round(reporting_period_data['maximums'][i], 2) \
if reporting_period_data['maximums'][i] is not None else ''
ws['F' + str(row)].border = f_border
ws['F' + str(row)].number_format = '0.00'
ws['F' + str(row + 1)].font = name_font
ws['F' + str(row + 1)].alignment = c_c_alignment
ws['F' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%'
ws['F' + str(row + 1)].border = f_border
ws['G' + str(row)].font = name_font
ws['G' + str(row)].alignment = c_c_alignment
ws['G' + str(row)] = round(reporting_period_data['stdevs'][i], 2) \
if reporting_period_data['stdevs'][i] is not None else ''
ws['G' + str(row)].border = f_border
ws['G' + str(row)].number_format = '0.00'
ws['G' + str(row + 1)].font = name_font
ws['G' + str(row + 1)].alignment = c_c_alignment
ws['G' + str(row + 1)] = str(round(reporting_period_data['stdevs_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['stdevs_increment_rate'][i] is not None else '0.00%'
ws['G' + str(row + 1)].border = f_border
ws['H' + str(row)].font = name_font
ws['H' + str(row)].alignment = c_c_alignment
ws['H' + str(row)] = round(reporting_period_data['variances'][i], 2) \
if reporting_period_data['variances'][i] is not None else ''
ws['H' + str(row)].border = f_border
ws['H' + str(row)].number_format = '0.00'
ws['H' + str(row + 1)].font = name_font
ws['H' + str(row + 1)].alignment = c_c_alignment
ws['H' + str(row + 1)] = str(round(reporting_period_data['variances_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['variances_increment_rate'][i] is not None else '0.00%'
ws['H' + str(row + 1)].border = f_border
#################################################
# Second: 报告期消耗
# 9 + ca_len * 2: title
# 10 + ca_len * 2: table title
# per_unit_area_start_row_number + 2 ~ per_unit_area_start_row_number + 2 + ca_len : table_data
#################################################
if has_energy_data_flag:
names = reporting_period_data['names']
ca_len = len(names)
per_unit_area_start_row_number = 9 + ca_len * 2
ws['B' + str(per_unit_area_start_row_number)].font = title_font
ws['B' + str(per_unit_area_start_row_number)] = name + ' 单位面积值' + str(
report['tenant']['area']) + 'M²'
category = reporting_period_data['names']
# table_title
ws['B' + str(per_unit_area_start_row_number + 1)].fill = table_fill
ws['B' + str(per_unit_area_start_row_number + 1)].font = title_font
ws['B' +
str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
ws['B' + str(per_unit_area_start_row_number + 1)] = '报告期'
ws['B' + str(per_unit_area_start_row_number + 1)].border = f_border
ws['C' + str(per_unit_area_start_row_number + 1)].font = title_font
ws['C' +
str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
ws['C' + str(per_unit_area_start_row_number + 1)] = '算术平均数'
ws['C' + str(per_unit_area_start_row_number + 1)].border = f_border
ws['D' + str(per_unit_area_start_row_number + 1)].font = title_font
ws['D' +
str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
ws['D' + str(per_unit_area_start_row_number + 1)] = '中位数'
ws['D' + str(per_unit_area_start_row_number + 1)].border = f_border
ws['E' + str(per_unit_area_start_row_number + 1)].font = title_font
ws['E' +
str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
ws['E' + str(per_unit_area_start_row_number + 1)] = '最小值'
ws['E' + str(per_unit_area_start_row_number + 1)].border = f_border
ws['F' + str(per_unit_area_start_row_number + 1)].font = title_font
ws['F' +
str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
ws['F' + str(per_unit_area_start_row_number + 1)] = '最大值'
ws['F' + str(per_unit_area_start_row_number + 1)].border = f_border
ws['G' + str(per_unit_area_start_row_number + 1)].font = title_font
ws['G' +
str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
ws['G' + str(per_unit_area_start_row_number + 1)] = '样本标准差'
ws['G' + str(per_unit_area_start_row_number + 1)].border = f_border
ws['H' + str(per_unit_area_start_row_number + 1)].font = title_font
ws['H' +
str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
ws['H' + str(per_unit_area_start_row_number + 1)] = '样本方差'
ws['H' + str(per_unit_area_start_row_number + 1)].border = f_border
# table_data
for i, value in enumerate(category):
row_data = per_unit_area_start_row_number + 2 + i
ws['B' + str(row_data)].font = name_font
ws['B' + str(row_data)].alignment = c_c_alignment
ws['B' + str(row_data)] = reporting_period_data['names'][
i] + " (" + reporting_period_data['units'][i] + "/M²)"
ws['B' + str(row_data)].border = f_border
ws['C' + str(row_data)].font = name_font
ws['C' + str(row_data)].alignment = c_c_alignment
if reporting_period_data['means_per_unit_area'][i] \
or reporting_period_data['means_per_unit_area'][i] == 0:
ws['C' + str(row_data)] = round(
reporting_period_data['means_per_unit_area'][i], 2)
ws['C' + str(row_data)].border = f_border
ws['C' + str(row_data)].number_format = '0.00'
ws['D' + str(row_data)].font = name_font
ws['D' + str(row_data)].alignment = c_c_alignment
if reporting_period_data['medians_per_unit_area'][i] \
or reporting_period_data['medians_per_unit_area'][i] == 0:
ws['D' + str(row_data)] = round(
reporting_period_data['medians_per_unit_area'][i], 2)
ws['D' + str(row_data)].border = f_border
ws['D' + str(row_data)].number_format = '0.00'
ws['E' + str(row_data)].font = name_font
ws['E' + str(row_data)].alignment = c_c_alignment
if reporting_period_data['minimums_per_unit_area'][i] \
or reporting_period_data['minimums_per_unit_area'][i] == 0:
ws['E' + str(row_data)] = round(
reporting_period_data['minimums_per_unit_area'][i], 2)
ws['E' + str(row_data)].border = f_border
ws['E' + str(row_data)].number_format = '0.00'
ws['F' + str(row_data)].font = name_font
ws['F' + str(row_data)].alignment = c_c_alignment
if reporting_period_data['maximums_per_unit_area'][i] \
or reporting_period_data['maximums_per_unit_area'][i] == 0:
ws['F' + str(row_data)] = round(
reporting_period_data['maximums_per_unit_area'][i], 2)
ws['F' + str(row_data)].border = f_border
ws['F' + str(row_data)].number_format = '0.00'
ws['G' + str(row_data)].font = name_font
ws['G' + str(row_data)].alignment = c_c_alignment
if (reporting_period_data['stdevs_per_unit_area'][i]) \
or reporting_period_data['stdevs_per_unit_area'][i] == 0:
ws['G' + str(row_data)] = round(
reporting_period_data['stdevs_per_unit_area'][i], 2)
ws['G' + str(row_data)].border = f_border
ws['G' + str(row_data)].number_format = '0.00'
ws['H' + str(row_data)].font = name_font
ws['H' + str(row_data)].alignment = c_c_alignment
if reporting_period_data['variances_per_unit_area'][i] \
or reporting_period_data['variances_per_unit_area'][i] == 0:
ws['H' + str(row_data)] = round(
reporting_period_data['variances_per_unit_area'][i], 2)
ws['H' + str(row_data)].border = f_border
ws['H' + str(row_data)].number_format = '0.00'
########################################################
# Third: 详细数据
# detailed_start_row_number~ detailed_start_row_number+time_len: line
# detailed_start_row_number + 1: table title
# i + analysis_end_row_number + 2 + 6 * ca_len~: table_data
########################################################
has_timestamps_flag = True
if "timestamps" not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0:
has_timestamps_flag = False
if has_timestamps_flag:
timestamps = reporting_period_data['timestamps'][0]
values = reporting_period_data['values']
names = reporting_period_data['names']
ca_len = len(names)
time_len = len(timestamps)
real_timestamps_len = timestamps_data_not_equal_0(
report['parameters']['timestamps'])
# title
line_charts_row_number = 6 * ca_len + real_timestamps_len * 7
analysis_end_row_number = 12 + 3 * ca_len
detailed_start_row_number = analysis_end_row_number + line_charts_row_number + 1
ws['B' + str(detailed_start_row_number)].font = title_font
ws['B' + str(detailed_start_row_number)] = name + ' 详细数据'
# table_title
ws['B' + str(detailed_start_row_number + 1)].fill = table_fill
ws['B' + str(detailed_start_row_number + 1)].font = name_font
ws['B' + str(detailed_start_row_number + 1)].alignment = c_c_alignment
ws['B' + str(detailed_start_row_number + 1)] = "时间"
ws['B' + str(detailed_start_row_number + 1)].border = f_border
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + str(detailed_start_row_number + 1)].font = name_font
ws[col +
str(detailed_start_row_number + 1)].alignment = c_c_alignment
ws[col + str(detailed_start_row_number + 1)] = names[
i] + " - (" + reporting_period_data['units'][i] + ")"
ws[col + str(detailed_start_row_number + 1)].border = f_border
# table_date
for i in range(0, time_len):
rows = i + detailed_start_row_number + 2
ws['B' + str(rows)].font = name_font
ws['B' + str(rows)].alignment = c_c_alignment
ws['B' + str(rows)] = timestamps[i]
ws['B' + str(rows)].border = f_border
for index in range(0, ca_len):
col = chr(ord('C') + index)
ws[col + str(rows)].font = name_font
ws[col + str(rows)].alignment = c_c_alignment
ws[col + str(rows)] = round(values[index][i], 2)
ws[col + str(rows)].number_format = '0.00'
ws[col + str(rows)].border = f_border
# 小计
row_subtotals = detailed_start_row_number + 2 + time_len
ws['B' + str(row_subtotals)].font = name_font
ws['B' + str(row_subtotals)].alignment = c_c_alignment
ws['B' + str(row_subtotals)] = "小计"
ws['B' + str(row_subtotals)].border = f_border
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + str(row_subtotals)].font = name_font
ws[col + str(row_subtotals)].alignment = c_c_alignment
ws[col + str(row_subtotals)] = round(
reporting_period_data['subtotals'][i], 2)
ws[col + str(row_subtotals)].border = f_border
ws[col + str(row_subtotals)].number_format = '0.00'
########################################################
# third: LineChart
# LineChart requires data from the detailed data table in the Excel file
# so print the detailed data table first and then print LineChart
########################################################
for i in range(0, ca_len):
line = LineChart()
line.title = "报告期消耗" + " - " + names[
i] + "(" + reporting_period_data['units'][i] + ")"
line.style = 10
line.x_axis.majorTickMark = 'in'
line.y_axis.majorTickMark = 'in'
line.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
times = Reference(ws,
min_col=2,
min_row=detailed_start_row_number + 2,
max_row=detailed_start_row_number + 2 + time_len)
line_data = Reference(ws,
min_col=3 + i,
min_row=detailed_start_row_number + 1,
max_row=detailed_start_row_number + 1 +
time_len)
line.add_data(line_data, titles_from_data=True)
line.set_categories(times)
ser = line.series[0]
ser.marker.symbol = "diamond"
ser.marker.size = 5
ws.add_chart(line, 'B' + str(analysis_end_row_number + 6 * i))
##########################################
current_sheet_parameters_row_number = analysis_end_row_number + ca_len * 6 + 1
has_parameters_names_and_timestamps_and_values_data = True
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
if has_parameters_names_and_timestamps_and_values_data:
###############################
# new worksheet
###############################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
parameters_ws = wb.create_sheet('相关参数')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12 + parameters_names_len * 3):
parameters_ws.column_dimensions[format_cell.get_column_letter(
i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
parameters_ws.add_image(img, 'B1')
# Title
parameters_ws.row_dimensions[3].height = 60
parameters_ws['B3'].font = name_font
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'].font = name_font
parameters_ws['C3'] = name
parameters_ws['D3'].font = name_font
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'].font = name_font
parameters_ws['E3'] = period_type
parameters_ws['F3'].font = name_font
parameters_ws['F3'].alignment = b_r_alignment
parameters_ws['F3'] = 'Date:'
parameters_ws['G3'].border = b_border
parameters_ws['G3'].alignment = b_c_alignment
parameters_ws['G3'].font = name_font
parameters_ws[
'G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
parameters_ws.merge_cells("G3:H3")
parameters_ws_current_row_number = 6
parameters_ws['B' +
str(parameters_ws_current_row_number)].font = title_font
parameters_ws['B' +
str(parameters_ws_current_row_number)] = name + ' 相关参数'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[
parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 'B'
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
parameters_ws[table_current_col_number +
str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[table_current_col_number +
str(parameters_ws_current_row_number -
1)].border = f_border
col = chr(ord(table_current_col_number) + 1)
parameters_ws[col + str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number -
1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number -
1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number -
1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number -
1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = table_current_col_number
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = chr(ord(col) + 1)
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(
parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = chr(ord(table_current_col_number) + 3)
########################################################
# parameters chart and parameters table
########################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(current_sheet_parameters_row_number)] = name + ' 相关参数'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3 + col_index * 3
labels_col = 2 + col_index * 3
col_index += 1
line.title = '相关参数 - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws,
min_col=labels_col,
min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line_data = Reference(
parameters_ws,
min_col=data_col,
min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
##########################################
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
def generate_excel(report, name, reporting_start_datetime_local, reporting_end_datetime_local, period_type):
wb = Workbook()
# todo
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000')
)
b_border = Border(
bottom=Side(border_style='medium', color='00000000'),
)
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_r_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
ws.add_image(img, 'B1')
# Title
ws.row_dimensions[3].height = 60
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws.merge_cells("G3:H3")
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
if "reporting_period" not in report.keys() or \
"values" not in report['reporting_period'].keys() or len(report['reporting_period']['values']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
###############################
has_cost_data_flag = True
if "values" not in report['reporting_period'].keys() or len(report['reporting_period']['values']) == 0:
has_cost_data_flag = False
if has_cost_data_flag:
ws['B6'].font = title_font
ws['B6'] = name + '报告期消耗'
reporting_period_data = report['reporting_period']
category = report['virtual_meter']['energy_category_name']
ca_len = len(category)
ws.row_dimensions[7].height = 60
ws['B7'].fill = table_fill
ws['B7'].border = f_border
ws['B8'].font = title_font
ws['B8'].alignment = c_c_alignment
ws['B8'] = '能耗'
ws['B8'].border = f_border
ws['B9'].font = title_font
ws['B9'].alignment = c_c_alignment
ws['B9'] = '环比'
ws['B9'].border = f_border
col = 'B'
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + '7'].fill = table_fill
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = report['virtual_meter']['energy_category_name'] + " (" \
+ report['virtual_meter']['unit_of_measure'] + ")"
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(reporting_period_data['total_in_category'], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = str(round(reporting_period_data['increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['increment_rate'] is not None else "-"
ws[col + '9'].border = f_border
# TCE TCO2E
end_col = col
# TCE
tce_col = chr(ord(end_col) + 1)
ws[tce_col + '7'].fill = table_fill
ws[tce_col + '7'].font = name_font
ws[tce_col + '7'].alignment = c_c_alignment
ws[tce_col + '7'] = "吨标准煤 (TCE)"
ws[tce_col + '7'].border = f_border
ws[tce_col + '8'].font = name_font
ws[tce_col + '8'].alignment = c_c_alignment
ws[tce_col + '8'] = round(reporting_period_data['total_in_kgce'] / 1000, 2)
ws[tce_col + '8'].border = f_border
ws[tce_col + '9'].font = name_font
ws[tce_col + '9'].alignment = c_c_alignment
ws[tce_col + '9'] = str(round(reporting_period_data['increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['increment_rate'] is not None else "-"
ws[tce_col + '9'].border = f_border
# TCO2E
tco2e_col = chr(ord(end_col) + 2)
ws[tco2e_col + '7'].fill = table_fill
ws[tco2e_col + '7'].font = name_font
ws[tco2e_col + '7'].alignment = c_c_alignment
ws[tco2e_col + '7'] = "吨二氧化碳排放 (TCO2E)"
ws[tco2e_col + '7'].border = f_border
ws[tco2e_col + '8'].font = name_font
ws[tco2e_col + '8'].alignment = c_c_alignment
ws[tco2e_col + '8'] = round(reporting_period_data['total_in_kgco2e'] / 1000, 2)
ws[tco2e_col + '8'].border = f_border
ws[tco2e_col + '9'].font = name_font
ws[tco2e_col + '9'].alignment = c_c_alignment
ws[tco2e_col + '9'] = str(round(reporting_period_data['increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['increment_rate'] is not None else "-"
ws[tco2e_col + '9'].border = f_border
else:
for i in range(6, 9 + 1):
ws.rows_dimensions[i].height = 0.1
######################################
has_cost_detail_flag = True
reporting_period_data = report['reporting_period']
category = report['virtual_meter']['energy_category_name']
ca_len = len(category)
times = reporting_period_data['timestamps']
if "values" not in reporting_period_data.keys() or len(reporting_period_data['values']) == 0:
has_cost_detail_flag = False
if has_cost_detail_flag:
ws['B11'].font = title_font
ws['B11'] = name + '详细数据'
ws.row_dimensions[18].height = 60
ws['B18'].fill = table_fill
ws['B18'].font = title_font
ws['B18'].border = f_border
ws['B18'].alignment = c_c_alignment
ws['B18'] = '日期时间'
time = times
has_data = False
max_row = 0
if len(time) > 0:
has_data = True
max_row = 18 + len(time)
if has_data:
end_data_row_number = 19
for i in range(0, len(time)):
col = 'B'
end_data_row_number = 19 + i
row = str(end_data_row_number)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = time[i]
ws[col + row].border = f_border
ws['B' + str(end_data_row_number + 1)].font = title_font
ws['B' + str(end_data_row_number + 1)].alignment = c_c_alignment
ws['B' + str(end_data_row_number + 1)] = '总计'
ws['B' + str(end_data_row_number + 1)].border = f_border
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + '18'].fill = table_fill
ws[col + '18'].font = title_font
ws[col + '18'].alignment = c_c_alignment
ws[col + '18'] = report['virtual_meter']['energy_category_name'] + " (" \
+ report['virtual_meter']['unit_of_measure'] + ")"
ws[col + '18'].border = f_border
time = times
time_len = len(time)
for j in range(0, time_len):
row = str(19 + j)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(reporting_period_data['values'][j], 2)
ws[col + row].border = f_border
ws[col + str(end_data_row_number + 1)].font = title_font
ws[col + str(end_data_row_number + 1)].alignment = c_c_alignment
ws[col + str(end_data_row_number + 1)] = round(reporting_period_data['total_in_category'], 2)
ws[col + str(end_data_row_number + 1)].border = f_border
line = LineChart()
labels = Reference(ws, min_col=2, min_row=19, max_row=max_row)
line_data = Reference(ws, min_col=3, min_row=18, max_row=max_row)
line.series.append(Series(line_data, title_from_data=True))
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.title = '报告期消耗 - ' + report['virtual_meter']['energy_category_name'] + \
" (" + report['virtual_meter']['unit_of_measure'] + ")"
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
line.height = 8.25
line.width = 24
ws.add_chart(line, "B12")
else:
for i in range(11, 43 + 1):
ws.row_dimensions[i].height = 0.0
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
def place_in_excel(name, latest_fin_data, last_fin_data, baseline_fin_data):
'''
function places all data into excel spreadsheet and creates chart.
data is placed into sheet in reverse order (see how data_list is ordered) so that most recent
data is displayed on right hand side of the data table
'''
wb = Workbook()
ws = wb.active
data_list = [baseline_fin_data, last_fin_data, latest_fin_data]
count = 0
'''places in raw/reported data'''
for data in data_list:
for i, key in enumerate(capture_rdel):
try:
ws.cell(row=i + 3, column=2 + count, value=data[name][key])
except KeyError:
ws.cell(row=i + 3, column=2 + count, value=0)
for i, key in enumerate(capture_cdel):
try:
ws.cell(row=i + 3, column=3 + count, value=data[name][key])
except KeyError:
ws.cell(row=i + 3, column=3 + count, value=0)
for i, key in enumerate(capture_ng):
try:
ws.cell(row=i + 3, column=4 + count, value=data[name][key])
except KeyError:
ws.cell(row=i + 3, column=4 + count, value=0)
count += 4
'''places in totals'''
baseline_totals = calculate_totals(name, baseline_fin_data)
last_q_totals = calculate_totals(name, last_fin_data)
latest_q_totals = calculate_totals(name, latest_fin_data)
total_list = [baseline_totals, last_q_totals, latest_q_totals]
c = 0
for l in total_list:
for i, total in enumerate(l):
ws.cell(row=i + 3, column=5 + c, value=total)
c += 4
'''labeling data in table'''
labeling_list_quarter = ['Baseline', 'Last Quarter', 'Latest quarter']
ws.cell(row=1, column=2, value=labeling_list_quarter[0])
ws.cell(row=1, column=6, value=labeling_list_quarter[1])
ws.cell(row=1, column=10, value=labeling_list_quarter[2])
labeling_list_type = ['RDEL', 'CDEL', 'Non-Gov', 'Total']
repeat = 3
c = 0
while repeat > 0:
for i, label in enumerate(labeling_list_type):
ws.cell(row=2, column=2 + i + c, value=label)
c += 4
repeat -= 1
labeling_list_year = [
'Spend', '19/20', '20/21', '21/22', '22/23', '23/24', '24/25', '25/26',
'26/27', '27/28', '28/29', 'Unprofiled'
]
for i, label in enumerate(labeling_list_year):
ws.cell(row=2 + i, column=1, value=label)
'''process for showing total cost profile. starting with data'''
row_start = 16
for x, l in enumerate(total_list):
for i, total in enumerate(l):
ws.cell(row=i + row_start, column=x + 2, value=total)
'''data for graph labeling'''
for i, quarter in enumerate(labeling_list_quarter):
ws.cell(row=15, column=i + 2, value=quarter)
for i, label in enumerate(labeling_list_year):
ws.cell(row=15 + i, column=1, value=label)
chart = LineChart()
chart.title = str(name) + ' Cost Profile'
chart.style = 4
chart.x_axis.title = 'Financial Year'
chart.y_axis.title = 'Cost £m'
'''styling chart'''
# axis titles
font = Font(typeface='Calibri')
size = 1200 # 12 point size
cp = CharacterProperties(latin=font, sz=size, b=True) # Bold
pp = ParagraphProperties(defRPr=cp)
rtp = RichText(p=[Paragraph(pPr=pp, endParaRPr=cp)])
chart.x_axis.title.tx.rich.p[0].pPr = pp
chart.y_axis.title.tx.rich.p[0].pPr = pp
# chart.title.tx.rich.p[0].pPr = pp
# title
size_2 = 1400
cp_2 = CharacterProperties(latin=font, sz=size_2, b=True)
pp_2 = ParagraphProperties(defRPr=cp_2)
rtp_2 = RichText(p=[Paragraph(pPr=pp_2, endParaRPr=cp_2)])
chart.title.tx.rich.p[0].pPr = pp_2
'''unprofiled costs not included in the chart'''
data = Reference(ws, min_col=2, min_row=15, max_col=4, max_row=25)
chart.add_data(data, titles_from_data=True)
cats = Reference(ws, min_col=1, min_row=16, max_row=25)
chart.set_categories(cats)
s3 = chart.series[0]
s3.graphicalProperties.line.solidFill = "cfcfea" # light blue
s8 = chart.series[1]
s8.graphicalProperties.line.solidFill = "5097a4" # medium blue
s9 = chart.series[2]
s9.graphicalProperties.line.solidFill = "0e2f44" # dark blue'''
ws.add_chart(chart, "H15")
'''process for creating income chart'''
baseline_total_income = calculate_income_totals(name, baseline_fin_data)
last_q_total_income = calculate_income_totals(name, last_fin_data)
latest_q_total_income = calculate_income_totals(name, latest_fin_data)
total_income_list = [
baseline_total_income, last_q_total_income, latest_q_total_income
]
if sum(latest_q_total_income) is not 0:
for x, l in enumerate(total_income_list):
for i, total in enumerate(l):
ws.cell(row=i + 32, column=x + 2, value=total)
'''data for graph labeling'''
for i, quarter in enumerate(labeling_list_quarter):
ws.cell(row=32, column=i + 2, value=quarter)
for i, label in enumerate(labeling_list_year):
ws.cell(row=32 + i, column=1, value=label)
'''income graph'''
chart = LineChart()
chart.title = str(name) + ' Income Profile'
chart.style = 4
chart.x_axis.title = 'Financial Year'
chart.y_axis.title = 'Cost £m'
font = Font(typeface='Calibri')
size = 1200 # 12 point size
cp = CharacterProperties(latin=font, sz=size, b=True) # Bold
pp = ParagraphProperties(defRPr=cp)
rtp = RichText(p=[Paragraph(pPr=pp, endParaRPr=cp)])
chart.x_axis.title.tx.rich.p[0].pPr = pp
chart.y_axis.title.tx.rich.p[0].pPr = pp
# chart.title.tx.rich.p[0].pPr = pp
# title
size_2 = 1400
cp_2 = CharacterProperties(latin=font, sz=size_2, b=True)
pp_2 = ParagraphProperties(defRPr=cp_2)
rtp_2 = RichText(p=[Paragraph(pPr=pp_2, endParaRPr=cp_2)])
chart.title.tx.rich.p[0].pPr = pp_2
#unprofiled costs not included in the chart
data = Reference(ws, min_col=2, min_row=32, max_col=4, max_row=42)
chart.add_data(data, titles_from_data=True)
cats = Reference(ws, min_col=1, min_row=33, max_row=42)
chart.set_categories(cats)
'''
keeping as colour coding is useful
s1 = chart.series[0]
s1.graphicalProperties.line.solidFill = "cfcfea" #light blue
s2 = chart.series[1]
s2.graphicalProperties.line.solidFill = "e2f1bb" #light green
s3 = chart.series[2]
s3.graphicalProperties.line.solidFill = "eaba9d" #light red
s4 = chart.series[3]
s4.graphicalProperties.line.solidFil = "5097a4" #medium blue
s5 = chart.series[4]
s5.graphicalProperties.line.solidFill = "a0db8e" #medium green
s6 = chart.series[5]
s6.graphicalProperties.line.solidFill = "b77575" #medium red
s7 = chart.series[6]
s7.graphicalProperties.line.solidFil = "0e2f44" #dark blue
s8 = chart.series[7]
s8.graphicalProperties.line.solidFill = "29ab87" #dark green
s9 = chart.series[8]
s9.graphicalProperties.line.solidFill = "691c1c" #dark red
'''
s3 = chart.series[0]
s3.graphicalProperties.line.solidFill = "e2f1bb" # light green
s8 = chart.series[1]
s8.graphicalProperties.line.solidFill = "a0db8e" # medium green
s9 = chart.series[2]
s9.graphicalProperties.line.solidFill = "29ab87" # dark green
ws.add_chart(chart, "H31")
else:
pass
return wb
def submit(self):
## Create workbook and sheets
wb = openpyxl.Workbook()
sheet0 = wb.create_sheet(index=0, title='Read_Me')
sheet1 = wb.create_sheet(index=1, title='2017_2018')
## Create Read me sheet
sheet0['B2'].value = 'Hey all. This excel file is the result of a python script'
sheet0['B4'].value = 'The script uses the FPL API and json data to import your history from the ' \
'website and then exports it to this file '
sheet0['B6'].value = 'Report bugs, Contact/Donate at [email protected].'
sheet0['B8'].value = 'be aware that the code is VERY raw and a lof of improvements can be made.'
sheet0['B10'].value = 'Your data is in the next sheet. Change sheet tabs below or hold "CTRL+PgDown"'
## Import history JSON data
url1 = 'https://fantasy.premierleague.com/drf/entry/{}/history'.format(self.fpl_prompt.get())
url2 = 'https://fantasy.premierleague.com/drf/bootstrap-static'
json_history = requests.get(url1).json()
json_live = requests.get(url2).json()
json_teamname = json_history['entry']['name']
num_of_gw = len(json_history['history'])
## Import gameweek history and insert data in sheet
header1 = ['GW', 'GP', 'GW AVG', 'GW HS', 'PB', 'TM', 'TC', 'GR', 'OP', 'OR', 'Position', 'TV']
headerrow = 1
for key in range(12):
sheet1.cell(row=headerrow, column=key + 3).value = str(header1[key])
for each in json_history['history']:
g_w = each['event']
points = each['points']
p_b = each['points_on_bench']
t_m = each['event_transfers']
t_c = each['event_transfers_cost']
g_w_r = each['rank']
o_r = each['overall_rank']
t_v = each['value']
p_o_s = each['movement']
o_p = each['total_points']
if p_o_s == 'up':
p_o_s = 1
elif p_o_s == 'new':
p_o_s = 0
else:
p_o_s = -1
history_list = [g_w, points, p_b, t_m, t_c, g_w_r, o_p, o_r, p_o_s, t_v / 10]
for rownum in range(g_w + 1, g_w + 2):
sheet1.cell(row=rownum, column=3).value = g_w
for rownum in range(g_w + 1, g_w + 2):
sheet1.cell(row=rownum, column=4).value = points
for rownum in range(g_w + 1, g_w + 2):
for key in range(2, 10):
sheet1.cell(row=rownum, column=key + 5).value = history_list[key]
## Import gameweek average points and highest points
for each in json_live['events']:
g_w = each['id']
h_p = each['highest_score']
a_v_g = each['average_entry_score']
for rownum in range(g_w + 1, g_w + 2):
sheet1.cell(row=rownum, column=5).value = a_v_g
for rownum in range(g_w + 1, g_w + 2):
sheet1.cell(row=rownum, column=6).value = h_p
## Import all player data in premier league
player_d = {}
for each in json_live['elements']:
pl_position = each['element_type']
pl_id = each['id']
pl_name = each['web_name']
player_d[pl_id] = pl_name
tot_player = len(player_d)
## Select data for Chip usage and enter in GW history as highlights
wildcardfill = PatternFill(start_color='ffff0000', end_color='ffff0000', fill_type='solid')
freehitfill = PatternFill(start_color='ffff00ff', end_color='ffff00ff', fill_type='solid')
bboostfill = PatternFill(start_color='ffffa500', end_color='ffffa500', fill_type='solid')
triplecapfill = PatternFill(start_color='ff0099ff', end_color='ff0099ff', fill_type='solid')
gwh_col = range(3, 15)
for each in json_history['chips']:
chipgw = each['event']
chip = each['name']
while chip == 'wildcard':
for key in gwh_col:
wc = sheet1.cell(row=chipgw + 1, column=key)
wc.fill = wildcardfill
break
while chip == 'bboost':
for key in gwh_col:
wc = sheet1.cell(row=chipgw + 1, column=key)
wc.fill = bboostfill
break
while chip == 'freehit':
for key in gwh_col:
wc = sheet1.cell(row=chipgw + 1, column=key)
wc.fill = freehitfill
break
while chip == '3xc':
for key in gwh_col:
wc = sheet1.cell(row=chipgw + 1, column=key)
wc.fill = triplecapfill
break
## Import weekly team player data and points
gwteamheaderow = 41
gwtitle = 3
for gw in range(1, 39):
sheet1.cell(row=gwteamheaderow, column=gwtitle).value = str('GW {}'.format(gw))
sheet1.cell(row=gwteamheaderow, column=gwtitle + 1).value = str('P {}'.format(gw))
gwtitle = gwtitle + 2
capfill = PatternFill(start_color='ff15dd43', end_color='ff15dd43', fill_type='solid')
vcapfill = PatternFill(start_color='ff00FFDA', end_color='ff00FFDA', fill_type='solid')
benchfill = PatternFill(start_color='ffBA6B12', end_color='ffBA6B12', fill_type='solid')
for rownum in range(53, 57):
for colnum in range(3, 79):
bench = sheet1.cell(row=rownum, column=colnum)
bench.fill = benchfill
gwteamcol = (39 * 2 - int(num_of_gw * 2)) - 1 # To accomodate for people who started late.
capfont = Font(underline='single')
for each in json_history['history']:
g_w = each['event']
url3 = 'https://fantasy.premierleague.com/drf/entry/{}/event/{}/picks'.format(self.fpl_prompt.get(), g_w)
json_pick = requests.get(url3).json()
gwteamcol = gwteamcol + 2
gwteamrow = 42
url4 = 'https://fantasy.premierleague.com/drf/event/{}/live'.format(g_w)
json_points = requests.get(url4).json()
total_players = len(json_points['elements'])
for each1 in json_pick['picks']:
player_id = each1['element']
captain = each1['is_captain']
vicecapt = each1['is_vice_captain']
multiplier = each1['multiplier']
pl_name = player_d[player_id]
plist = {player_id: pl_name}
player_idnew = str(player_id)
for each2 in json_points['elements'][player_idnew]['stats'].keys():
while each2 == 'total_points':
pl_points = (json_points['elements'][player_idnew]['stats']['total_points'])
sheet1.cell(row=gwteamrow, column=gwteamcol + 1).value = pl_points
if multiplier == 2:
sheet1.cell(row=gwteamrow, column=gwteamcol + 1).value = pl_points * 2
elif multiplier == 3:
sheet1.cell(row=gwteamrow, column=gwteamcol + 1).value = pl_points * 3
break
for values in plist.values():
sheet1.cell(row=gwteamrow, column=gwteamcol).value = values
if captain == True:
capf = sheet1.cell(row=gwteamrow, column=gwteamcol)
capf.fill = capfill
capf.font = capfont
if vicecapt == True:
vcapf = sheet1.cell(row=gwteamrow, column=gwteamcol)
vcapf.fill = vcapfill
gwteamrow = gwteamrow + 1
## Import classic league history
sheet1.merge_cells('BR1:BS1') # League Rank header
sheet1['BR1'].value = 'League Rank History'
clrow = 2
num_of_leagues = len(json_history['leagues']['classic'])
clheader = ['League Name', 'Rank']
for leaguecolumn in range(2):
sheet1.cell(row=clrow, column=leaguecolumn + 70).value = str(clheader[leaguecolumn])
for each in json_history['leagues']['classic']:
leaguename = each['name']
leagueposition = each['entry_rank']
league_data = [leaguename, leagueposition]
clrow = clrow + 1
for clcol in range(2):
sheet1.cell(row=clrow, column=clcol + 70).value = league_data[clcol]
## Import Cup History
sheet1.merge_cells('BV1:BZ1') # Cup History Header
sheet1['BV1'].value = 'FPL Cup History'
url8 = 'https://fantasy.premierleague.com/drf/entry/{}/cup'.format(self.fpl_prompt.get())
json_cup = requests.get(url8).json()
num_of_cups = len(json_cup['cup_matches'])
cuplist = ['GW', 'Team Name 1', 'Points 1', 'Team Name 2', 'Points 2 ']
cuprow = 2
for col in range(5):
sheet1.cell(row=cuprow, column=col + 74).value = str(cuplist[col])
if num_of_cups > 0:
for each in json_cup['cup_matches']:
cupgw = each['event']
entry_1 = each['entry_1_name']
entry_2 = each['entry_2_name']
entrypoints_1 = each['entry_1_points']
entrypoints_2 = each['entry_2_points']
cup_data = [cupgw, entry_1, entrypoints_1, entry_2, entrypoints_2]
cuprow = cuprow + 1
for colnum in range(5):
sheet1.cell(row=cuprow, column=colnum + 74).value = cup_data[colnum]
else:
sheet1.cell(row=3, column=74).value = "Failed to qualify for the cup. Noob."
## Import h2h details
sheet1.merge_cells('BN1:BO1') # H2H Team Header
sheet1['BN1'].value = 'H2H History'
num_of_h2h = len(json_history['leagues']['h2h'])
h2h_header = ['H2H League', 'Rank']
h2hrow = 2
for h2hcol in range(2):
sheet1.cell(row=h2hrow, column=h2hcol + 66).value = str(h2h_header[h2hcol])
if num_of_h2h > 0:
for each in json_history['leagues']['h2h']:
h2hname = each['name']
h2hrank = each['entry_rank']
h2h_data = [h2hname, h2hrank]
h2hrow = h2hrow + 1
for colnum in range(2):
sheet1.cell(row=h2hrow, column=colnum + 66).value = h2h_data[colnum]
else:
sheet1.cell(row=3, column=66).value = "No H2H leagues entered." \
""
## Import Gameweek Transfer history
sheet1.merge_cells('CD1:CH1')
sheet1['CD1'].value = 'Transfer History'
transferheader = ['GW', 'Transfer In', 'Value In ', 'Transfer Out', 'Value Out']
transferhrow = 2
for tkey in range(5):
sheet1.cell(row=transferhrow, column=tkey + 82).value = str(transferheader[tkey])
url5 = 'https://fantasy.premierleague.com/drf/entry/{}/transfers'.format(self.fpl_prompt.get())
json_transfer = requests.get(url5).json()
gwtransferrow = 2
gwtransfercol = 82
num_of_t = len(json_transfer['history'])
if num_of_t == 0:
sheet1.cell(row=gwtransferrow + 1, column=gwtransfercol).value = "No Transfers Made"
else:
for each in json_transfer['history']:
transferin = each['element_in']
transferout = each['element_out']
incost = each['element_in_cost']
outcost = each['element_out_cost']
transfergw = each['event']
t_in_name = player_d.get(transferin, 0)
t_out_name = player_d.get(transferout, 0)
trans_data = [transfergw, t_in_name, incost / 10, t_out_name, outcost / 10]
gwtransferrow = gwtransferrow + 1
for colnum in range(5):
sheet1.cell(row=gwtransferrow, column=colnum + gwtransfercol).value = trans_data[colnum]
## Import Overall Dream Team Data
sheet1.merge_cells('BI1:BJ1') # Dream Team Header
sheet1['BI1'].value = str('Overall Dream Team')
overalldtheader = ['Player Name', 'Total Points']
for odtcol in range(2):
sheet1.cell(row=2, column=odtcol + 61).value = str(overalldtheader[odtcol])
url6 = 'https://fantasy.premierleague.com/drf/dream-team'
json_dreamteam = requests.get(url6).json()
dtrow = 2
for each in json_dreamteam['team']:
dtpoints = each['points']
dtplayer = each['element']
dt_name = player_d.get(dtplayer, 0)
dt_data = [dt_name, dtpoints]
dtrow = dtrow + 1
for colnum in range(2):
sheet1.cell(row=dtrow, column=colnum + 61).value = dt_data[colnum]
## Import Weekly Dream Team Data
dtteamheaderrow = 59
dttitle = 3
for dt in range(1, 39):
sheet1.cell(row=dtteamheaderrow, column=dttitle).value = str('GW {}'.format(dt))
sheet1.cell(row=dtteamheaderrow, column=dttitle + 1).value = str('P {}'.format(dt))
dttitle = dttitle + 2
dtteamcol = 1
for each in range(1, 39):
url7 = 'https://fantasy.premierleague.com/drf/dream-team/{}'.format(each)
json_weeklydt = requests.get(url7).json()
dtteamrow = 60
dtteamcol = dtteamcol + 2
for each1 in json_weeklydt['team']:
dtpl_id = each1['element']
dt_points = each1['points']
pl_name = player_d[dtpl_id]
dtlist = {pl_name: dt_points}
for values in dtlist.values():
sheet1.cell(row=dtteamrow, column=dtteamcol + 1).value = values
for values2 in dtlist.keys():
sheet1.cell(row=dtteamrow, column=dtteamcol).value = values2
dtteamrow = dtteamrow + 1
## Creating Legend
legendlist = ['Legend', 'Wildcard', 'Benchboost', 'Triple Captain', 'Free Hit', 'Captain', 'Vice Captain',
'Bench']
legendrow = 5
for lkey in range(8):
sheet1.cell(row=lkey + legendrow, column=1).value = legendlist[lkey]
lewc = sheet1.cell(row=legendrow + 1, column=1)
lewc.fill = wildcardfill
lebb = sheet1.cell(row=legendrow + 2, column=1)
lebb.fill = bboostfill
letc = sheet1.cell(row=legendrow + 3, column=1)
letc.fill = triplecapfill
lefh = sheet1.cell(row=legendrow + 4, column=1)
lefh.fill = freehitfill
leca = sheet1.cell(row=legendrow + 5, column=1)
leca.fill = capfill
levca = sheet1.cell(row=legendrow + 6, column=1)
levca.fill = vcapfill
leben = sheet1.cell(row=legendrow + 7, column=1)
leben.fill = benchfill
## Creating Team name and FPL ID
sheet1['A2'].value = 'FPL ID: {}'.format(self.fpl_prompt.get())
sheet1['A1'].value = 'Team: {}'.format(json_teamname)
## Cell Styling
headerfont = Font(bold=True)
alignment = Alignment(horizontal='center')
for key in range(74, 79): # FPL CUP 'GW/Team Name/Points/Team Name/Points'
row2 = sheet1.cell(row=2, column=key)
row2.font = headerfont
row2.alignment = alignment
for row in range(1, num_of_cups + 3): # FPL CUP History details
for col in range(74, 79):
cup1 = sheet1.cell(row=row, column=col)
cup1.alignment = alignment
cup2 = sheet1.cell(row=1, column=74) # 'FPL CUP History'
cup2.font = headerfont
cup2.alignment = alignment
for key in range(3, 15): # 'GW/GP/GW AVG/GW HS/PB/......'
row1 = sheet1.cell(row=1, column=key)
row1.font = headerfont
row1.alignment = alignment
for key in range(3, 79): # GW Teams 'GW1/P1/GW2/P2.....'
row41 = sheet1.cell(row=41, column=key)
row41.font = headerfont
row41.alignment = alignment
for key1 in range(2, 40): # GW history full table
for key2 in range(3, 10):
set1 = sheet1.cell(row=key1, column=key2)
set1.alignment = alignment
for key1 in range(42, 57): # Team history full table
for key2 in range(3, 79):
set2 = sheet1.cell(row=key1, column=key2)
set2.alignment = alignment
for key in range(2, 40): # GW history table value format
col3 = sheet1.cell(row=key, column=14) # Team Value
col3.number_format = '0.0'
col3.alignment = alignment
col4 = sheet1.cell(row=key, column=11) # Overall Points
col4.alignment = alignment
col5 = sheet1.cell(row=key, column=10) # Gameweek Rank
col5.number_format = '#,##0'
col6 = sheet1.cell(row=key, column=12) # Overall Rank
col6.number_format = '#,##0'
col4 = sheet1.cell(row=key, column=13) # Position
col4.alignment = alignment
for key1 in range(1, 3 + num_of_t): # Transfer history table
for key2 in range(82, 88):
set3 = sheet1.cell(row=key1, column=key2)
set3.alignment = alignment
for key in range(82, 88):
set4 = sheet1.cell(row=1, column=key)
set4.alignment = alignment
set4.font = headerfont
for key in range(82, 88): # Transfer history 'GW/Transfer in/Value....'
row1 = sheet1.cell(row=1, column=key)
row1.font = headerfont
for key1 in range(2, num_of_t + 1): # Transfer table value In
col7 = sheet1.cell(row=key1, column=84)
col7.number_format = '0.0'
for key1 in range(2, num_of_t + 1): # Transfer table value Out
col7 = sheet1.cell(row=key1, column=86)
col7.number_format = '0.0'
for col8 in range(70, 73): # League Rank table
lrh = sheet1.cell(row=1, column=col8)
lrh.font = headerfont
for row8 in range(2, num_of_leagues + 3):
lr = sheet1.cell(row=row8, column=col8)
lr.alignment = alignment
lr1 = sheet1.cell(row=1, column=70) # League Rank title
lr1.font = headerfont
lr1.alignment = alignment
for col9 in range(3, 79): # Gameweek Dream Team full table and title
gwdt = sheet1.cell(row=59, column=col9)
gwdt.font = headerfont
for row9 in range(59, 71):
gwdtt = sheet1.cell(row=row9, column=col9)
gwdtt.alignment = alignment
for col10 in range(61, 63): # Overall dream team table and titles
odt = sheet1.cell(row=1, column=col10)
odt.font = headerfont
odt.alignment = alignment
for col10 in range(61, 63):
for row10 in range(2, 14):
odtt = sheet1.cell(row=row10, column=col10)
odtt.alignment = alignment
for col10 in range(61, 63):
odt = sheet1.cell(row=2, column=col10)
odt.font = headerfont
for col11 in range(66, 68): # Head2Head table and titles
h2ht = sheet1.cell(row=1, column=col11)
h2ht.font = headerfont
h2ht.alignment = alignment
for col11 in range(66, 68):
for row11 in range(2, num_of_h2h + 3):
h2htt = sheet1.cell(row=row11, column=col11)
h2htt.alignment = alignment
for col11 in range(66, 68):
h2ht = sheet1.cell(row=2, column=col11)
h2ht.font = headerfont
## Creating Position symbols for GW history
first = FormatObject(type='num', val=-1)
second = FormatObject(type='num', val=0)
third = FormatObject(type='num', val=1)
iconset = IconSet(iconSet='3Arrows', cfvo=[first, second, third], showValue=None, percent=None,
reverse=None)
rule = Rule(type='iconSet', iconSet=iconset)
sheet1.conditional_formatting.add('M2:M39', cfRule=rule)
## Creating Tables
table1 = Table(displayName='GWH', ref='C1:N39') # GW History
style1 = TableStyleInfo(name="TableStyleMedium11", showRowStripes=True)
table1.tableStyleInfo = style1
sheet1.add_table(table1)
table2 = Table(displayName='GWT', ref='C41:BZ56') # Team History
style2 = TableStyleInfo(name="TableStyleLight15", showRowStripes=True)
table2.tableStyleInfo = style2
sheet1.add_table(table2)
if num_of_t > 0:
num_of_trow = num_of_t
else:
num_of_trow = 1
table3 = Table(displayName='TH', ref='CD2:CH{}'.format(num_of_trow + 2)) # Transfer History
style3 = TableStyleInfo(name="TableStyleMedium12", showRowStripes=True)
table3.tableStyleInfo = style3
sheet1.add_table(table3)
if num_of_cups > 0:
cup_table_row = 2
else:
cup_table_row = 3
table4 = Table(displayName='CH', ref='BV2:BZ{}'.format(num_of_cups + cup_table_row)) # FPL Cup history
style4 = TableStyleInfo(name="TableStyleMedium13", showRowStripes=True)
table4.tableStyleInfo = style4
sheet1.add_table(table4)
table5 = Table(displayName='CLR', ref='BR2:BS{}'.format(num_of_leagues + 2)) # Classic League Rank
style5 = TableStyleInfo(name="TableStyleMedium10", showRowStripes=True)
table5.tableStyleInfo = style5
sheet1.add_table(table5)
if num_of_h2h > 0:
h2h_table_row = 2
else:
h2h_table_row = 3
table6 = Table(displayName='HTOH', ref='BN2:BO{}'.format(num_of_h2h + h2h_table_row)) # H2H Rank
style6 = TableStyleInfo(name="TableStyleMedium11", showRowStripes=True)
table6.tableStyleInfo = style6
sheet1.add_table(table6)
table7 = Table(displayName='ODT', ref='BI2:BJ13') # Overall Dream Team
style7 = TableStyleInfo(name="TableStyleMedium7", showRowStripes=True)
table7.tableStyleInfo = style7
sheet1.add_table(table7)
table8 = Table(displayName='GWDT', ref='C59:BZ70') # GW Dream Team
style8 = TableStyleInfo(name="TableStyleLight17", showRowStripes=True)
table8.tableStyleInfo = style8
sheet1.add_table(table8)
## Creating Chart
chart1 = LineChart()
chart1.title = 'Gameweek Points / Average Points / Points Benched / Highest GW Score'
data1 = Reference(sheet1, min_col=4, max_col=7, min_row=1, max_row=39)
chart1.height = 20
chart1.width = 50
chart1.add_data(data1, titles_from_data=True)
sheet1.add_chart(chart1, "Q2")
## Save workbook
wb.save('FPL.Data.17-18.xlsx')
## Clear text box and show success dialog
self.clear()
item_path = str(path.realpath("FPL.Data.17-18.xlxs"))
messagebox.showinfo(title="Success", message="Data for \'{}\' imported successfully.\n"
"File saved in {}".format(json_teamname, item_path))
ws.cell(row=1, column=3).value = "HTC_MODEM_RESET"
ws.cell(row=1, column=4).value = "HTC_PWR_EXPERT"
ws.cell(row=1, column=5).value = "LASTKMSG"
# Insert Data
row_num = 2
for row_all in rows_all:
print row_all.Time, row_all.HTC_LOG_UPLOAD, row_all.HTC_MODEM_RESET, row_all.HTC_PWR_EXPERT, row_all.LASTKMSG
ws.cell(row=row_num, column=1).value = row_all.Time
ws.cell(row=row_num, column=2).value = row_all.HTC_LOG_UPLOAD
ws.cell(row=row_num, column=3).value = row_all.HTC_MODEM_RESET
ws.cell(row=row_num, column=4).value = row_all.HTC_PWR_EXPERT
ws.cell(row=row_num, column=5).value = row_all.LASTKMSG
row_num += 1
# Create line chart
c1 = LineChart()
c1.title = "Log Counts of Tags"
c1.style = 2
data = Reference(ws, min_col=2, min_row=1, max_col=5, max_row=8)
c1.add_data(data, titles_from_data=True)
ws.add_chart(c1, "A10")
excel_logpath = 'Detail_'+localtime2+'.xlsx'
wb.save(excel_logpath)
fullpath=current_exec_path+"\\"+excel_logpath
mail.send_mail("*****@*****.**","[email protected];[email protected]","test","test",fullpath)
else:
logging.info("Normal!")
logging.info("--- Check status")
except Exception, e:
print e
def generate_excel(report, name, reporting_start_datetime_local,
reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
ws.title = "EquipmentCost"
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Arial', size=15, bold=True)
title_font = Font(name='Arial', size=15, bold=True)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000'))
b_border = Border(bottom=Side(border_style='medium', color='00000000'), )
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
ws.add_image(img, 'A1')
# Title
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'] = name
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'] = period_type
ws['B4'].alignment = b_r_alignment
ws['B4'] = 'Reporting Start Datetime:'
ws['C4'].border = b_border
ws['C4'].alignment = b_c_alignment
ws['C4'] = reporting_start_datetime_local
ws['D4'].alignment = b_r_alignment
ws['D4'] = 'Reporting End Datetime:'
ws['E4'].border = b_border
ws['E4'].alignment = b_c_alignment
ws['E4'] = reporting_end_datetime_local
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
####################################################################################################################
# First: Reporting Period Costs
# 6: title
# 7: table title
# 8~10 table_data
# Total: 5 rows
# if has not energy data: set low height for rows
####################################################################################################################
reporting_period_data = report['reporting_period']
has_energy_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_energy_data_flag = False
if has_energy_data_flag:
ws['B6'].font = title_font
ws['B6'] = name + ' ' + 'Reporting Period Costs'
category = reporting_period_data['names']
ca_len = len(category)
ws.row_dimensions[7].height = 60
ws['B7'].fill = table_fill
ws['B7'].border = f_border
ws['B8'].font = title_font
ws['B8'].alignment = c_c_alignment
ws['B8'] = 'Cost'
ws['B8'].border = f_border
ws['B9'].font = title_font
ws['B9'].alignment = c_c_alignment
ws['B9'] = 'Increment Rate'
ws['B9'].border = f_border
col = ''
for i in range(0, ca_len):
col = chr(ord('C') + i)
row = '7'
cell = col + row
ws[col + '7'].fill = table_fill
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = reporting_period_data['names'][
i] + " (" + reporting_period_data['units'][i] + ")"
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(reporting_period_data['subtotals'][i], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = str(round(reporting_period_data['increment_rates'][i] * 100, 2)) + "%" \
if reporting_period_data['increment_rates'][i] is not None else "-"
ws[col + '9'].border = f_border
col = chr(ord(col) + 1)
ws[col + '7'].fill = table_fill
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = "Total (" + reporting_period_data['total_unit'] + ")"
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(reporting_period_data['total'], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = str(round(reporting_period_data['total_increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['total_increment_rate'] is not None else "-"
ws[col + '9'].border = f_border
else:
for i in range(6, 8 + 1):
ws.row_dimensions[i].height = 0.1
####################################################################################################################
# Second: Electricity Cost by Time-Of-Use
# 12: title
# 13: table title
# 14~17 table_data
# Total: 6 rows
####################################################################################################################
has_ele_peak_flag = True
if "toppeaks" not in reporting_period_data.keys() or \
reporting_period_data['toppeaks'] is None or \
len(reporting_period_data['toppeaks']) == 0:
has_ele_peak_flag = False
if has_ele_peak_flag:
ws['B12'].font = title_font
ws['B12'] = name + ' ' + 'Electricity Cost by Time-Of-Use'
ws.row_dimensions[13].height = 60
ws['B13'].fill = table_fill
ws['B13'].font = name_font
ws['B13'].alignment = c_c_alignment
ws['B13'].border = f_border
ws['C13'].fill = table_fill
ws['C13'].font = name_font
ws['C13'].alignment = c_c_alignment
ws['C13'].border = f_border
ws['C13'] = 'Electricity Cost by Time-Of-Use'
ws['B14'].font = title_font
ws['B14'].alignment = c_c_alignment
ws['B14'] = 'TopPeak'
ws['B14'].border = f_border
ws['C14'].font = title_font
ws['C14'].alignment = c_c_alignment
ws['C14'].border = f_border
ws['C14'] = round(reporting_period_data['toppeaks'][0], 2)
ws['B15'].font = title_font
ws['B15'].alignment = c_c_alignment
ws['B15'] = 'OnPeak'
ws['B15'].border = f_border
ws['C15'].font = title_font
ws['C15'].alignment = c_c_alignment
ws['C15'].border = f_border
ws['C15'] = round(reporting_period_data['onpeaks'][0], 2)
ws['B16'].font = title_font
ws['B16'].alignment = c_c_alignment
ws['B16'] = 'MidPeak'
ws['B16'].border = f_border
ws['C16'].font = title_font
ws['C16'].alignment = c_c_alignment
ws['C16'].border = f_border
ws['C16'] = round(reporting_period_data['midpeaks'][0], 2)
ws['B17'].font = title_font
ws['B17'].alignment = c_c_alignment
ws['B17'] = 'OffPeak'
ws['B17'].border = f_border
ws['C17'].font = title_font
ws['C17'].alignment = c_c_alignment
ws['C17'].border = f_border
ws['C17'] = round(reporting_period_data['offpeaks'][0], 2)
pie = PieChart()
pie.title = name + ' ' + 'Electricity Cost by Time-Of-Use'
labels = Reference(ws, min_col=2, min_row=14, max_row=17)
pie_data = Reference(ws, min_col=3, min_row=13, max_row=17)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 7.25
pie.width = 9
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False # 标签显示
s1.dLbls.showVal = True # 数量显示
s1.dLbls.showPercent = True # 百分比显示
ws.add_chart(pie, "D13")
else:
for i in range(12, 18 + 1):
ws.row_dimensions[i].height = 0.1
# end_row 10
# start_row 12
####################################################################################################################
# Second: Costs Proportion by Energy Category
####################################################################################################################
current_row_number = 19
has_subtotals_data_flag = True
if 'subtotals' not in reporting_period_data.keys() or \
reporting_period_data['subtotals'] is None:
has_subtotals_data_flag = False
if has_subtotals_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' ' + 'Costs Proportion'
current_row_number += 1
table_start_row_number = current_row_number
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = name_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].fill = table_fill
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = 'Costs Proportion'
current_row_number += 1
category = reporting_period_data['names']
ca_len = len(category)
for i in range(0, ca_len):
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)] = reporting_period_data['names'][i] + \
' (' + reporting_period_data['units'][i] + ')'
ws['B' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].font = title_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)] = round(
reporting_period_data['subtotals'][i], 3)
ws['C' + str(current_row_number)].border = f_border
current_row_number += 1
table_end_row_number = current_row_number - 1
pie = PieChart()
pie.title = name + ' ' + 'Costs Proportion'
labels = Reference(ws,
min_col=2,
min_row=table_start_row_number + 1,
max_row=table_end_row_number)
pie_data = Reference(ws,
min_col=3,
min_row=table_start_row_number,
max_row=table_end_row_number)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 6.6
pie.width = 9
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False
s1.dLbls.showVal = True
s1.dLbls.showPercent = True
ws.add_chart(pie, 'D' + str(table_start_row_number))
if ca_len < 4:
current_row_number = current_row_number - ca_len + 4
current_row_number += 1
####################################################################################################################
# Fourth: Detailed Data
# current_row_number: title
# current_row_number+1 ~ current_row_number+1+ca_len*6-1: line
# current_row_number+1+ca_len*6: table title
# current_row_number+1+ca_len*6~: table_data
####################################################################################################################
reporting_period_data = report['reporting_period']
times = reporting_period_data['timestamps']
has_detail_data_flag = True
ca_len = len(report['reporting_period']['names'])
real_timestamps_len = timestamps_data_not_equal_0(
report['parameters']['timestamps'])
table_row = current_row_number + 2 + ca_len * 6 + real_timestamps_len * 7
chart_start_row_number = current_row_number + 1
if "timestamps" not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0:
has_detail_data_flag = False
if has_detail_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' ' + 'Detailed Data'
ws.row_dimensions[table_row].height = 60
ws['B' + str(table_row)].fill = table_fill
ws['B' + str(table_row)].font = title_font
ws['B' + str(table_row)].border = f_border
ws['B' + str(table_row)].alignment = c_c_alignment
ws['B' + str(table_row)] = 'Datetime'
time = times[0]
has_data = False
max_row = 0
if len(time) > 0:
has_data = True
max_row = table_row + len(time)
if has_data:
for i in range(0, len(time)):
col = 'B'
row = str(table_row + 1 + i)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = time[i]
ws[col + row].border = f_border
for i in range(0, ca_len):
# 38 title
col = chr(ord('C') + i)
ws[col + str(table_row)].fill = table_fill
ws[col + str(table_row)].font = title_font
ws[col + str(table_row)].alignment = c_c_alignment
ws[col + str(table_row)] = reporting_period_data['names'][i] + \
" (" + reporting_period_data['units'][i] + ")"
ws[col + str(table_row)].border = f_border
# 39 data
time = times[i]
time_len = len(time)
for j in range(0, time_len):
row = str(table_row + 1 + j)
# col = chr(ord('B') + i)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(
reporting_period_data['values'][i][j], 2)
ws[col + row].border = f_border
current_row_number = table_row + 1 + len(times[0])
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = 'Subtotal'
for i in range(0, ca_len):
col = chr(ord('C') + i)
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(
reporting_period_data['subtotals'][i], 2)
# line
# 39~: line
line = LineChart()
line.title = 'Reporting Period Consumption - ' + ws.cell(
column=3 + i, row=table_row).value
labels = Reference(ws,
min_col=2,
min_row=table_row + 1,
max_row=max_row)
line_data = Reference(ws,
min_col=3 + i,
min_row=table_row,
max_row=max_row) # openpyxl bug
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True # val show
line.dLbls.showPercent = True # percent show
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number + 6 * i)
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number + ca_len * 6
####################################################################################################################
has_parameters_names_and_timestamps_and_values_data = True
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
if has_parameters_names_and_timestamps_and_values_data:
################################################################################################################
# new worksheet
################################################################################################################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
file_name = (re.sub(r'[^A-Z]', '', ws.title)) + '_'
parameters_ws = wb.create_sheet(file_name + 'Parameters')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12 + parameters_names_len * 3):
parameters_ws.column_dimensions[format_cell.get_column_letter(
i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
parameters_ws.add_image(img, 'A1')
# Title
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'] = name
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'] = period_type
parameters_ws['B4'].alignment = b_r_alignment
parameters_ws['B4'] = 'Reporting Start Datetime:'
parameters_ws['C4'].border = b_border
parameters_ws['C4'].alignment = b_c_alignment
parameters_ws['C4'] = reporting_start_datetime_local
parameters_ws['D4'].alignment = b_r_alignment
parameters_ws['D4'] = 'Reporting End Datetime:'
parameters_ws['E4'].border = b_border
parameters_ws['E4'].alignment = b_c_alignment
parameters_ws['E4'] = reporting_end_datetime_local
parameters_ws_current_row_number = 6
parameters_ws['B' +
str(parameters_ws_current_row_number)].font = title_font
parameters_ws[
'B' +
str(parameters_ws_current_row_number)] = name + ' ' + 'Parameters'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[
parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 2
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number -
1)].border = f_border
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number -
1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number -
1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number -
1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number -
1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = format_cell.get_column_letter(table_current_col_number +
1)
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(
parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = table_current_col_number + 3
################################################################################################################
# parameters chart and parameters table
################################################################################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(
current_sheet_parameters_row_number)] = name + ' ' + 'Parameters'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3 + col_index * 3
labels_col = 2 + col_index * 3
col_index += 1
line.title = 'Parameters - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws,
min_col=labels_col,
min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line_data = Reference(
parameters_ws,
min_col=data_col,
min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
####################################################################################################################
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
from openpyxl import load_workbook
wb = load_workbook("sample.xlsx")
ws = wb.active
from openpyxl.chart import BarChart, Reference, LineChart
# B2:C11 까지의 데이터를 차트로 생성
# bar_value = Reference(ws, min_row=2, max_row=11, min_col=2, max_col=3)
# bar_chart = BarChart() # 차트 종류 설정 (Bar, Line, Pie, ..)
# bar_chart.add_data(bar_value)
# ws.add_chart(bar_chart, "E1") # 차트 넣을 위치 정의
# B1:C11 까지의 데이터
line_value = Reference(ws, min_row=1, max_row=11, min_col=2, max_col=3)
line_chart = LineChart()
line_chart.add_data(line_value, titles_from_data=True) # 계열 > 영어, 수학 (제목에서 가져옴)
line_chart.title = "성적표" # 제목
line_chart.style = 10 # 미리 정의된 스타일 적용, 사용자가 개별 지정도 가능
line_chart.y_axis.title = "점수" # y 축의 제목
line_chart.x_axis.title = "번호" # x 축의 제목
ws.add_chart(line_chart, "E1")
wb.save("sample_chart.xlsx")
def generate_excel(report, name, reporting_start_datetime_local,
reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
# data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000'))
b_border = Border(bottom=Side(border_style='medium', color='00000000'), )
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=False,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=False,
shrink_to_fit=False,
indent=0)
# c_r_alignment = Alignment(vertical='bottom',
# horizontal='center',
# text_rotation=0,
# wrap_text=False,
# shrink_to_fit=False,
# indent=0)
# Img
img = Image("excelexporters/myems.png")
# img = Image("myems.png")
img.width = img.width * 1.06
img.height = img.height * 1.06
ws.add_image(img, 'B1')
# Title
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local[:
10] + "__" + reporting_end_datetime_local[:
10]
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
#################################################
# First: 统计分析
# 6: title
# 7: table title
# 8~2*ca_len table_data
#################################################
reporting_period_data = report['reporting_period']
has_energy_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_energy_data_flag = False
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
if has_energy_data_flag:
ws['B6'].font = title_font
ws['B6'] = name + ' 统计分析'
category = reporting_period_data['names']
# table_title
ws['B7'].fill = table_fill
ws['B7'].font = title_font
ws['B7'].alignment = c_c_alignment
ws['B7'] = '报告期'
ws['B7'].border = f_border
ws['C7'].font = title_font
ws['C7'].alignment = c_c_alignment
ws['C7'] = '平均负荷'
ws['C7'].border = f_border
ws['D7'].font = title_font
ws['D7'].alignment = c_c_alignment
ws['D7'] = '最大负荷'
ws['D7'].border = f_border
ws['E7'].font = title_font
ws['E7'].alignment = c_c_alignment
ws['E7'] = '负荷系数'
ws['E7'].border = f_border
# table_data
for i, value in enumerate(category):
row = i * 2 + 8
ws['B' + str(row)].font = name_font
ws['B' + str(row)].alignment = c_c_alignment
ws['B' + str(row)] = reporting_period_data['names'][
i] + " (" + reporting_period_data['units'][i] + "/H )"
ws['B' + str(row)].border = f_border
ws['B' + str(row + 1)].font = name_font
ws['B' + str(row + 1)].alignment = c_c_alignment
ws['B' + str(row + 1)] = "环比"
ws['B' + str(row + 1)].border = f_border
ws['C' + str(row)].font = name_font
ws['C' + str(row)].alignment = c_c_alignment
ws['C' + str(row)] = round(reporting_period_data['averages'][i], 2) \
if reporting_period_data['averages'][i] is not None else ''
ws['C' + str(row)].border = f_border
ws['C' + str(row)].number_format = '0.00'
ws['C' + str(row + 1)].font = name_font
ws['C' + str(row + 1)].alignment = c_c_alignment
ws['C' + str(row + 1)] = str(round(reporting_period_data['averages_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['averages_increment_rate'][i] is not None else '0.00%'
ws['C' + str(row + 1)].border = f_border
ws['D' + str(row)].font = name_font
ws['D' + str(row)].alignment = c_c_alignment
ws['D' + str(row)] = round(reporting_period_data['maximums'][i], 2) \
if reporting_period_data['maximums'][i] is not None else ''
ws['D' + str(row)].border = f_border
ws['D' + str(row)].number_format = '0.00'
ws['D' + str(row + 1)].font = name_font
ws['D' + str(row + 1)].alignment = c_c_alignment
ws['D' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%'
ws['D' + str(row + 1)].border = f_border
ws['E' + str(row)].font = name_font
ws['E' + str(row)].alignment = c_c_alignment
ws['E' + str(row)] = round(reporting_period_data['factors'][i], 2) \
if reporting_period_data['factors'][i] is not None else ''
ws['E' + str(row)].border = f_border
ws['E' + str(row)].number_format = '0.00'
ws['E' + str(row + 1)].font = name_font
ws['E' + str(row + 1)].alignment = c_c_alignment
ws['E' + str(row + 1)] = str(round(reporting_period_data['factors_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['factors_increment_rate'][i] is not None else '0.00%'
ws['E' + str(row + 1)].border = f_border
########################################################
# Third: 详细数据
# row_sat~ row_sat + 6*cal_len: line
# row_da: table title
# row_da + 1~: table_data
########################################################
has_timestamps_flag = True
if "timestamps" not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0:
has_timestamps_flag = False
if has_timestamps_flag:
timestamps = reporting_period_data['timestamps'][0]
names = reporting_period_data['names']
ca_len = len(names)
time_len = len(timestamps)
# row_lines == the number of rows of lines
row_lines = 6 * ca_len
# row_sat == the number of rows of statistical analysis table
row_sat = 9 + 2 * ca_len
# row_da == the number of rows of Detailed data
row_da = row_sat + row_lines + 1
ws['B' + str(row_da)].font = title_font
ws['B' + str(row_da)] = name + ' 详细数据'
# table_title
ws['B' + str(row_da + 1)].fill = table_fill
ws['B' + str(row_da + 1)].font = name_font
ws['B' + str(row_da + 1)].alignment = c_c_alignment
ws['B' + str(row_da + 1)] = "日期时间"
ws['B' + str(row_da + 1)].border = f_border
for i in range(0, ca_len):
col_average = chr(ord('C') + 2 * i)
col_maximum = chr(ord('D') + 2 * i)
ws[col_average + str(row_da + 1)].font = name_font
ws[col_average + str(row_da + 1)].alignment = c_c_alignment
ws[col_average + str(row_da + 1)] = names[
i] + " 平均负荷(" + reporting_period_data['units'][i] + "/H)"
ws[col_average + str(row_da + 1)].border = f_border
ws[col_maximum + str(row_da + 1)].font = name_font
ws[col_maximum + str(row_da + 1)].alignment = c_c_alignment
ws[col_maximum + str(row_da + 1)] = names[
i] + " 最大负荷(" + reporting_period_data['units'][i] + "/H)"
ws[col_maximum + str(row_da + 1)].border = f_border
# table_date
for i in range(0, time_len):
rows = i + row_da + 2
ws['B' + str(rows)].font = name_font
ws['B' + str(rows)].alignment = c_c_alignment
ws['B' + str(rows)] = timestamps[i]
ws['B' + str(rows)].border = f_border
for index in range(0, ca_len):
col_average = chr(ord('C') + 2 * index)
col_maximum = chr(ord('D') + 2 * index)
ws[col_average + str(rows)].font = name_font
ws[col_average + str(rows)].alignment = c_c_alignment
ws[col_average + str(rows)] = reporting_period_data['sub_averages'][index][i] \
if reporting_period_data['sub_maximums'][index] is not None else ''
ws[col_average + str(rows)].number_format = '0.00'
ws[col_average + str(rows)].border = f_border
ws[col_maximum + str(rows)].font = name_font
ws[col_maximum + str(rows)].alignment = c_c_alignment
ws[col_maximum + str(rows)] = reporting_period_data['sub_maximums'][index][i] \
if reporting_period_data['sub_maximums'][index] is not None else ''
ws[col_maximum + str(rows)].number_format = '0.00'
ws[col_maximum + str(rows)].border = f_border
current_row_number = row_da + 1 + time_len
# ws['B' + str(current_row_number)].font = title_font
# ws['B' + str(current_row_number)].alignment = c_c_alignment
# ws['B' + str(current_row_number)].border = f_border
# ws['B' + str(current_row_number)] = '小计'
# LineChart
for i in range(0, ca_len):
# col = chr(ord('C') + i)
# ws[col + str(current_row_number)].font = title_font
# ws[col + str(current_row_number)].alignment = c_c_alignment
# ws[col + str(current_row_number)].border = f_border
# ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)
lc = LineChart()
lc.title = "报告期 最大负荷"
lc.style = 10
lc.x_axis.majorTickMark = 'in'
lc.y_axis.majorTickMark = 'in'
lc.smooth = True
lc.x_axis.crosses = 'min'
lc.height = 8.25
lc.width = 24
lc.dLbls = DataLabelList()
lc.dLbls.dLblPos = 't'
lc.dLbls.showVal = True
times = Reference(ws,
min_col=2,
min_row=row_da + 2,
max_row=row_da + 2 + time_len)
lc_data = Reference(ws,
min_col=2 + 2 * (i + 1),
min_row=row_da + 1,
max_row=row_da + 1 + time_len)
lc.add_data(lc_data, titles_from_data=True)
lc.set_categories(times)
ser = lc.series[0]
ser.marker.symbol = "diamond"
ser.marker.size = 5
chart_col = 'B'
chart_cell = str(row_sat + 6 * i)
ws.add_chart(lc, chart_col + chart_cell)
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
"max_col": len(group.columns),
"max_row": len(group.index) + 1,
})
wb = load_workbook(output_file)
for test_info in test_infos:
sheet_name = test_info["sheet_name"]
ws = wb[sheet_name]
values = Reference(
ws,
min_col=3,
min_row=1,
max_col=test_info["max_col"],
max_row=test_info["max_row"],
)
categories = Reference(ws,
min_col=2,
min_row=2,
max_col=2,
max_row=test_info["max_row"])
chart = LineChart()
chart.legend = None
chart.title = sheet_name
chart.add_data(values, titles_from_data=True)
chart.set_categories(categories)
ws.add_chart(chart, "B4")
wb.save(output_file)
def generate_excel(report, name, reporting_start_datetime_local, reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000')
)
b_border = Border(
bottom=Side(border_style='medium', color='00000000'),
)
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_r_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
ws.add_image(img, 'B1')
# Title
ws.row_dimensions[3].height = 60
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"difference_values" not in report['reporting_period'].keys() or \
len(report['reporting_period']['difference_values']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
#################################################
has_difference_values_data_flag = True
if 'difference_values' not in report['reporting_period'].keys() or len(
report['reporting_period']['difference_values']) == 0:
has_difference_values_data_flag = False
current_row_number = 6
if has_difference_values_data_flag:
reporting_period_data = report['reporting_period']
category = report['meter']['energy_category_name']
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 报告期'
current_row_number += 1
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].border = f_border
if not isinstance(category, list):
ws['C' + str(current_row_number)].fill = table_fill
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = report['meter']['energy_category_name'] + " (" + report['meter'][
'unit_of_measure'] + ")"
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '总表消耗'
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = round(reporting_period_data['master_meter_consumption_in_category'], 2)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '分表消耗'
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = round(reporting_period_data['submeters_consumption_in_category'], 2)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '差值'
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = round(reporting_period_data['difference_in_category'], 2)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '差值百分比'
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = str(
round(reporting_period_data['percentage_difference'] * 100, 2)) + '%'
current_row_number += 2
time = reporting_period_data['timestamps']
parameters_names_len = len(report['parameters']['names'])
parameters_data = report['parameters']
parameters_parameters_datas_len = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
parameters_parameters_datas_len += 1
has_time_data_flag = False
if time is not None and len(time) > 0:
has_time_data_flag = True
if has_time_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 详细数据'
current_row_number += 1
chart_start_number = current_row_number
current_row_number = current_row_number + 1 + len(category) * 6 + parameters_parameters_datas_len * 6
table_start_number = current_row_number
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)] = '日期时间'
ws['C' + str(current_row_number)].fill = table_fill
ws['C' + str(current_row_number)].font = title_font
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)] = report['meter']['energy_category_name'] + " (" + report['meter'][
'unit_of_measure'] + ")"
current_row_number += 1
for i in range(0, len(time)):
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)] = time[i]
ws['C' + str(current_row_number)].font = title_font
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)] = round(reporting_period_data['difference_values'][i], 2)
current_row_number += 1
table_end_number = current_row_number - 1
line = LineChart()
line.title = '报告期差值 - ' + report['meter']['energy_category_name'] + " (" + report['meter'][
'unit_of_measure'] + ")"
labels = Reference(ws, min_col=2, min_row=table_start_number + 1, max_row=table_end_number)
line_data = Reference(ws, min_col=3, min_row=table_start_number, max_row=table_end_number)
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True # 数量显示
ws.add_chart(line, "B" + str(chart_start_number))
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)] = '总计'
ws['C' + str(current_row_number)].font = title_font
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)] = round(reporting_period_data['master_meter_consumption_in_category']
, 2)
else:
pass
##########################################
has_parameters_names_and_timestamps_and_values_data = True
# 12 is the starting line number of the last line chart in the report period
category = report['meter']['energy_category_name']
ca_len = len(category)
time_len = len(report['reporting_period']['timestamps'])
current_sheet_parameters_row_number = 14 + ca_len * 6
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
if has_parameters_names_and_timestamps_and_values_data:
###############################
# new worksheet
###############################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
parameters_ws = wb.create_sheet('相关参数')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12 + parameters_names_len * 3):
parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
parameters_ws.add_image(img, 'B1')
# Title
parameters_ws.row_dimensions[3].height = 60
parameters_ws['B3'].font = name_font
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'].font = name_font
parameters_ws['C3'] = name
parameters_ws['D3'].font = name_font
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'].font = name_font
parameters_ws['E3'] = period_type
parameters_ws['F3'].font = name_font
parameters_ws['F3'].alignment = b_r_alignment
parameters_ws['F3'] = 'Date:'
parameters_ws['G3'].border = b_border
parameters_ws['G3'].alignment = b_c_alignment
parameters_ws['G3'].font = name_font
parameters_ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
parameters_ws.merge_cells("G3:H3")
parameters_ws_current_row_number = 6
parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font
parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' 相关参数'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 'B'
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number - 1)].fill = table_fill
parameters_ws[table_current_col_number + str(parameters_ws_current_row_number - 1)].border = f_border
col = decimal_to_column(column_to_decimal(table_current_col_number) + 1)
parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = table_current_col_number
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = decimal_to_column(column_to_decimal(col) + 1)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = decimal_to_column(column_to_decimal(table_current_col_number) + 3)
########################################################
# parameters chart and parameters table
########################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(current_sheet_parameters_row_number)] = name + ' 相关参数'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3 + col_index * 3
labels_col = 2 + col_index * 3
col_index += 1
line.title = '相关参数 - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number))
line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
import random
from openpyxl import Workbook
from openpyxl.chart import LineChart, Reference
from openpyxl import load_workbook
workbook = workbook = load_workbook('line_chart.xlsx')
sheet = workbook.active
"""
1.create the chart obj
2.to the chart obj add the data to be displyed
3.add the chart obj to the sheet
"""
#create the chart obj
chart = LineChart()
#create the refernce to be added to the chart
data = Reference(worksheet=sheet, min_row=2, max_row=4, min_col=1, max_col=13)
#add the data to the cart
chart.add_data(data, from_rows=True, titles_from_data=True)
#add the chart to the sheet
sheet.add_chart(chart, "C6")
workbook.save("line_chart.xlsx")
def generate_excel(report, name, reporting_start_datetime_local, reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# for i in range(2, 11 + 1):
# ws.row_dimensions[i].height = 30
#
# for i in range(12, 43 + 1):
# ws.row_dimensions[i].height = 30
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000')
)
b_border = Border(
bottom=Side(border_style='medium', color='00000000'),
)
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_r_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
ws.add_image(img, 'B1')
# Title
ws.row_dimensions[3].height = 60
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"values" not in report['reporting_period'].keys() or len(report['reporting_period']['values']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
#################################################
# First: 能耗分析
# 6: title
# 7: table title
# 8~9 table_data
#################################################
has_energy_data_flag = True
if "values" not in report['reporting_period'].keys() or len(report['reporting_period']['values']) == 0:
has_energy_data_flag = False
if has_energy_data_flag:
ws['B6'].font = title_font
ws['B6'] = name + '能耗分析'
reporting_period_data = report['reporting_period']
# print(reporting_period_data)
category = report['meter']['energy_category_name']
ca_len = len(category)
ws.row_dimensions[7].height = 60
ws['B7'].fill = table_fill
ws['B7'].border = f_border
ws['B8'].font = title_font
ws['B8'].alignment = c_c_alignment
ws['B8'] = '能耗'
ws['B8'].border = f_border
ws['B9'].font = title_font
ws['B9'].alignment = c_c_alignment
ws['B9'] = '环比'
ws['B9'].border = f_border
col = ''
for i in range(0, ca_len):
col = chr(ord('C') + i)
row = '7'
cell = col + row
ws[col + '7'].fill = table_fill
ws[col + '7'].font = name_font
ws[col + '7'].alignment = c_c_alignment
ws[col + '7'] = report['meter']['energy_category_name'] + " (" + report['meter']['unit_of_measure'] + ")"
ws[col + '7'].border = f_border
ws[col + '8'].font = name_font
ws[col + '8'].alignment = c_c_alignment
ws[col + '8'] = round(reporting_period_data['total_in_category'], 2)
ws[col + '8'].border = f_border
ws[col + '9'].font = name_font
ws[col + '9'].alignment = c_c_alignment
ws[col + '9'] = str(round(reporting_period_data['increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['increment_rate'] is not None else "-"
ws[col + '9'].border = f_border
# TCE TCO2E
end_col = col
# TCE
tce_col = chr(ord(end_col) + 1)
ws[tce_col + '7'].fill = table_fill
ws[tce_col + '7'].font = name_font
ws[tce_col + '7'].alignment = c_c_alignment
ws[tce_col + '7'] = "吨标准煤 (TCE)"
ws[tce_col + '7'].border = f_border
ws[tce_col + '8'].font = name_font
ws[tce_col + '8'].alignment = c_c_alignment
ws[tce_col + '8'] = round(reporting_period_data['total_in_kgce'] / 1000, 2)
ws[tce_col + '8'].border = f_border
ws[tce_col + '9'].font = name_font
ws[tce_col + '9'].alignment = c_c_alignment
ws[tce_col + '9'] = str(round(reporting_period_data['increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['increment_rate'] is not None else "-"
ws[tce_col + '9'].border = f_border
# TCO2E
tco2e_col = chr(ord(end_col) + 2)
ws[tco2e_col + '7'].fill = table_fill
ws[tco2e_col + '7'].font = name_font
ws[tco2e_col + '7'].alignment = c_c_alignment
ws[tco2e_col + '7'] = "吨二氧化碳排放 (TCO2E)"
ws[tco2e_col + '7'].border = f_border
ws[tco2e_col + '8'].font = name_font
ws[tco2e_col + '8'].alignment = c_c_alignment
ws[tco2e_col + '8'] = round(reporting_period_data['total_in_kgco2e'] / 1000, 2)
ws[tco2e_col + '8'].border = f_border
ws[tco2e_col + '9'].font = name_font
ws[tco2e_col + '9'].alignment = c_c_alignment
ws[tco2e_col + '9'] = str(round(reporting_period_data['increment_rate'] * 100, 2)) + "%" \
if reporting_period_data['increment_rate'] is not None else "-"
ws[tco2e_col + '9'].border = f_border
else:
for i in range(6, 9 + 1):
ws.row_dimensions[i].height = 0.1
#################################################
# Second: 能耗详情
# 11: title
# 12 ~ 16: chart
# 18: table title
# 19~43: table_data
#################################################
has_energy_detail_flag = True
reporting_period_data = report['reporting_period']
times = reporting_period_data['timestamps']
if "values" not in report['reporting_period'].keys() or len(report['reporting_period']['values']) == 0:
has_energy_detail_flag = False
if has_energy_detail_flag:
reporting_period_data = report['reporting_period']
category = report['meter']['energy_category_name']
ca_len = len(category)
parameters_names_len = len(report['parameters']['names'])
parameters_data = report['parameters']
parameters_parameters_datas_len = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
parameters_parameters_datas_len += 1
start_detail_data_row_num = 13 + (parameters_parameters_datas_len + ca_len) * 6
ws['B11'].font = title_font
ws['B11'] = name + '详细数据'
ws.row_dimensions[start_detail_data_row_num].height = 60
ws['B' + str(start_detail_data_row_num)].fill = table_fill
ws['B' + str(start_detail_data_row_num)].font = title_font
ws['B' + str(start_detail_data_row_num)].border = f_border
ws['B' + str(start_detail_data_row_num)].alignment = c_c_alignment
ws['B' + str(start_detail_data_row_num)] = '日期时间'
time = times
has_data = False
max_row = 0
if len(time) > 0:
has_data = True
max_row = start_detail_data_row_num + len(time)
if has_data:
for i in range(0, len(time)):
col = 'B'
row = str(start_detail_data_row_num + 1 + i)
# col = chr(ord('B') + i)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = time[i]
ws[col + row].border = f_border
for i in range(0, ca_len):
# 12 title
col = chr(ord('C') + i)
ws[col + str(start_detail_data_row_num)].fill = table_fill
ws[col + str(start_detail_data_row_num)].font = title_font
ws[col + str(start_detail_data_row_num)].alignment = c_c_alignment
ws[col + str(start_detail_data_row_num)] = report['meter']['energy_category_name'] + \
" (" + report['meter']['unit_of_measure'] + ")"
ws[col + str(start_detail_data_row_num)].border = f_border
# 13 data
time = times
time_len = len(time)
for j in range(0, time_len):
row = str(start_detail_data_row_num + 1 + j)
# col = chr(ord('B') + i)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(reporting_period_data['values'][j], 2)
ws[col + row].border = f_border
# line
# 13~: line
line = LineChart()
line.title = '报告期消耗 - ' + report['meter']['energy_category_name'] + \
" (" + report['meter']['unit_of_measure'] + ")"
labels = Reference(ws, min_col=2, min_row=start_detail_data_row_num + 1, max_row=max_row)
bar_data = Reference(ws, min_col=3, min_row=start_detail_data_row_num, max_row=max_row)
line.add_data(bar_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
# line_data.smooth = True
line.height = 8.25 # cm 1.05*5 1.05cm = 30 pt
line.width = 24
# pie.title = "Pies sold by category"
line.dLbls = DataLabelList()
# line.dLbls.showCatName = True # 标签显示
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True # 数量显示
line.dLbls.showPercent = False # 百分比显示
# s1 = CharacterProperties(sz=1800) # 图表中字体大小 *100
ws.add_chart(line, "B12")
col = 'B'
row = str(start_detail_data_row_num + 1 + len(time))
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = '总计'
ws[col + row].border = f_border
for i in range(0, ca_len):
col = chr(ord(col) + 1)
ws[col + row].font = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(reporting_period_data['total_in_category'], 2)
ws[col + row].border = f_border
else:
for i in range(11, 43 + 1):
ws.row_dimensions[i].height = 0.0
##########################################
has_parameters_names_and_timestamps_and_values_data = True
# 12 is the starting line number of the last line chart in the report period
category = report['meter']['energy_category_name']
time_len = len(reporting_period_data['timestamps'])
ca_len = len(category)
current_sheet_parameters_row_number = 12 + ca_len * 6
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
if has_parameters_names_and_timestamps_and_values_data:
###############################
# new worksheet
###############################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
parameters_ws = wb.create_sheet('相关参数')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12 + parameters_names_len * 3):
parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
parameters_ws.add_image(img, 'B1')
# Title
parameters_ws.row_dimensions[3].height = 60
parameters_ws['B3'].font = name_font
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'].font = name_font
parameters_ws['C3'] = name
parameters_ws['D3'].font = name_font
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'].font = name_font
parameters_ws['E3'] = period_type
parameters_ws['F3'].font = name_font
parameters_ws['F3'].alignment = b_r_alignment
parameters_ws['F3'] = 'Date:'
parameters_ws['G3'].border = b_border
parameters_ws['G3'].alignment = b_c_alignment
parameters_ws['G3'].font = name_font
parameters_ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
parameters_ws.merge_cells("G3:H3")
parameters_ws_current_row_number = 6
parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font
parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' 相关参数'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 2
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = table_current_col_number + 3
########################################################
# parameters chart and parameters table
########################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(current_sheet_parameters_row_number)] = name + ' 相关参数'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3 + col_index * 3
labels_col = 2 + col_index * 3
col_index += 1
line.title = '相关参数 - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number))
line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
else:
torow = r
if ws.rows[torow][c].value is not None:
_ = ws2.cell(column=c+1, row=r-4, value=ws.rows[torow][c].value)
else:
_ = ws2.cell(column=c+1, row=r-4, value=0)
#画折线图
from openpyxl.chart import (
LineChart,
Reference,
PieChart,
)
c1 = LineChart()
c1.title = "2015年%s"%ws.rows[5][0].value
#c1.style = 13
#c1.y_axis.title = 'Size'
#c1.x_axis.title = 'Test Number'
data = Reference(ws2, min_col=1, min_row=2, max_col=13, max_row=6)
#print data
c1.add_data(data, titles_from_data=True,from_rows=True)
ws2.add_chart(c1, "A20")
#画饼图，先新建一个表单
ws3 = wb2.create_sheet()
def generate_excel(report, name, reporting_start_datetime_local,
reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
ws.title = "ShopFloorEnergyItem"
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Arial', size=15, bold=True)
title_font = Font(name='Arial', size=15, bold=True)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000'))
b_border = Border(bottom=Side(border_style='medium', color='00000000'), )
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
ws.add_image(img, 'A1')
# Title
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'] = name
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'] = period_type
ws['B4'].alignment = b_r_alignment
ws['B4'] = 'Reporting Start Datetime:'
ws['C4'].border = b_border
ws['C4'].alignment = b_c_alignment
ws['C4'] = reporting_start_datetime_local
ws['D4'].alignment = b_r_alignment
ws['D4'] = 'Reporting End Datetime:'
ws['E4'].border = b_border
ws['E4'].alignment = b_c_alignment
ws['E4'] = reporting_end_datetime_local
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
####################################################################################################################
current_row_number = 6
reporting_period_data = report['reporting_period']
has_names_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_names_data_flag = False
if has_names_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(
current_row_number)] = name + ' ' + 'Reporting Period Consumption'
current_row_number += 1
category = reporting_period_data['names']
ca_len = len(category)
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].border = f_border
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = \
reporting_period_data['names'][i] + " " + reporting_period_data['energy_category_names'][i] + \
" (" + reporting_period_data['units'][i] + ")"
col = chr(ord(col) + 1)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '消耗'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(
reporting_period_data['subtotals'][i], 2)
col = chr(ord(col) + 1)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = 'Per Unit Area'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(
reporting_period_data['subtotals_per_unit_area'][i], 2)
col = chr(ord(col) + 1)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = 'Increment Rate'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = str(
round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \
if reporting_period_data['increment_rates'][i] is not None else '-'
col = chr(ord(col) + 1)
current_row_number += 2
category_dict = group_by_category(
reporting_period_data['energy_category_names'])
for category_dict_name, category_dict_values in category_dict.items():
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' ' + category_dict_name + ' ' + \
'(' + reporting_period_data['units'][category_dict_values[0]] + ') by Energy Item'
current_row_number += 1
table_start_row_number = current_row_number
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].fill = table_fill
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = '消耗'
current_row_number += 1
for i in category_dict_values:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
ws['C' + str(current_row_number)].font = name_font
ws['C' + str(current_row_number)].alignment = c_c_alignment
ws['C' + str(current_row_number)].border = f_border
ws['C' + str(current_row_number)] = round(
reporting_period_data['subtotals'][i], 3)
current_row_number += 1
table_end_row_number = current_row_number - 1
pie = PieChart()
pie.title = name + ' ' + category_dict_name + ' ' + \
'(' + reporting_period_data['units'][category_dict_values[0]] + ') by Energy Item'
labels = Reference(ws,
min_col=2,
min_row=table_start_row_number + 1,
max_row=table_end_row_number)
pie_data = Reference(ws,
min_col=3,
min_row=table_start_row_number,
max_row=table_end_row_number)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 6.6
pie.width = 9
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False
s1.dLbls.showVal = True
s1.dLbls.showPercent = True
ws.add_chart(pie, 'D' + str(table_start_row_number))
if len(category_dict_values) < 4:
current_row_number = current_row_number - len(
category_dict_values) + 4
current_row_number += 1
####################################################################################################################
has_values_data = True
has_timestamps_data = True
if 'values' not in reporting_period_data.keys() or \
reporting_period_data['values'] is None or \
len(reporting_period_data['values']) == 0:
has_values_data = False
if 'timestamps' not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0 or \
len(reporting_period_data['timestamps'][0]) == 0:
has_timestamps_data = False
chart_start_row_number = current_row_number + 1
if has_values_data and has_timestamps_data:
ca_len = len(reporting_period_data['names'])
time = reporting_period_data['timestamps'][0]
parameters_names_len = len(report['parameters']['names'])
parameters_parameters_datas_len = 0
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' ' + 'Detailed Data'
for i in range(0, parameters_names_len):
if len(report['parameters']['timestamps'][i]) == 0:
continue
parameters_parameters_datas_len += 1
current_row_number = current_row_number + (
ca_len + parameters_parameters_datas_len) * 6 + 2
table_start_row_number = current_row_number
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = 'Datetime'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
col = chr(ord(col) + 1)
current_row_number += 1
for i in range(0, len(time)):
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = time[i]
col = 'C'
for j in range(0, ca_len):
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \
if reporting_period_data['values'][j][i] is not None else 0.00
col = chr(ord(col) + 1)
current_row_number += 1
table_end_row_number = current_row_number - 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = 'Subtotal'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(
reporting_period_data['subtotals'][i], 2)
col = chr(ord(col) + 1)
current_row_number += 2
format_time_width_number = 1.0
min_len_number = 1.0
min_width_number = 11.0
if period_type == 'hourly':
format_time_width_number = 4.0
min_len_number = 2
min_width_number = 12.0
elif period_type == 'daily':
format_time_width_number = 2.5
min_len_number = 4
min_width_number = 14.0
elif period_type == 'monthly':
format_time_width_number = 2.1
min_len_number = 4
min_width_number = 12.4
elif period_type == 'yearly':
format_time_width_number = 1.5
min_len_number = 5
min_width_number = 11.5
for i in range(0, ca_len):
line = LineChart()
line.title = 'Reporting Period Consumption - ' + \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
labels = Reference(ws,
min_col=2,
min_row=table_start_row_number + 1,
max_row=table_end_row_number)
line_data = Reference(ws,
min_col=3 + i,
min_row=table_start_row_number,
max_row=table_end_row_number)
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = format_time_width_number * len(time) if len(
time) > min_len_number else min_width_number
if line.width > 24:
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number + 6 * i)
ws.add_chart(line, chart_cell)
####################################################################################################################
has_parameters_names_and_timestamps_and_values_data = True
ca_len = len(report['reporting_period']['names'])
current_sheet_parameters_row_number = chart_start_row_number + ca_len * 6
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
has_parameters_names_and_timestamps_and_values_data = False
if has_parameters_names_and_timestamps_and_values_data:
################################################################################################################
# new worksheet
################################################################################################################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
file_name = (re.sub(r'[^A-Z]', '', ws.title)) + '_'
parameters_ws = wb.create_sheet(file_name + 'Parameters')
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12 + parameters_names_len * 3):
parameters_ws.column_dimensions[format_cell.get_column_letter(
i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
parameters_ws.add_image(img, 'A1')
# Title
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = 'Name:'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'] = name
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = 'Period:'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'] = period_type
parameters_ws['B4'].alignment = b_r_alignment
parameters_ws['B4'] = 'Reporting Start Datetime:'
parameters_ws['C4'].border = b_border
parameters_ws['C4'].alignment = b_c_alignment
parameters_ws['C4'] = reporting_start_datetime_local
parameters_ws['D4'].alignment = b_r_alignment
parameters_ws['D4'] = 'Reporting End Datetime:'
parameters_ws['E4'].border = b_border
parameters_ws['E4'].alignment = b_c_alignment
parameters_ws['E4'] = reporting_end_datetime_local
parameters_ws_current_row_number = 6
parameters_ws['B' +
str(parameters_ws_current_row_number)].font = title_font
parameters_ws[
'B' +
str(parameters_ws_current_row_number)] = name + ' ' + 'Parameters'
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[
parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 2
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number -
1)].border = f_border
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(parameters_ws_current_row_number -
1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number -
1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number -
1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number -
1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number -
1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = format_cell.get_column_letter(table_current_col_number +
1)
parameters_ws[col +
str(table_current_row_number)].border = f_border
parameters_ws[col +
str(table_current_row_number)].font = title_font
parameters_ws[
col +
str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round(
parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = table_current_col_number + 3
################################################################################################################
# parameters chart and parameters table
################################################################################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(
current_sheet_parameters_row_number)] = name + ' ' + 'Parameters'
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3 + col_index * 3
labels_col = 2 + col_index * 3
col_index += 1
line.title = 'Parameters - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws,
min_col=labels_col,
min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line_data = Reference(
parameters_ws,
min_col=data_col,
min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i]) +
parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
wb = Workbook()
ws = wb.active
rows = [
('Sample', ),
(1, ),
(2, ),
(3, ),
(2, ),
(3, ),
(3, ),
(1, ),
(2, ),
]
for r in rows:
ws.append(r)
c = LineChart()
data = Reference(ws, min_col=1, min_row=1, max_row=8)
c.add_data(data, titles_from_data=True)
c.title = 'Chart with patterns'
# set a pattern for the whole series
series = c.series[0]
fill = PatternFillProperties(prst='pct5')
fill.foreground = ColorChoice(prstClr='red')
fill.background = ColorChoice(prstClr='blue')
series.graphicalProperties.pattFill = fill
# set a pattern for a 6th data point (0-indexed)
pt = DataPoint(idx=5)
pt.graphicalProperties.pattFill = PatternFillProperties(prst='ltHorz')
series.dPt.append(pt)
[date(2015, 9, 1), 40, 30, 25],
[date(2015, 9, 2), 40, 25, 30],
[date(2015, 9, 3), 50, 30, 45],
[date(2015, 9, 4), 30, 25, 40],
[date(2015, 9, 5), 25, 35, 30],
[date(2015, 9, 6), 20, 40, 35],
["Time", "jitter", "rtt", "loss"],
["09:25:35.584", 10, 50, 0],
["09:26:35.584", 20, 55, 10],
["09:27:35.584", 30, 60, 20],
]
for row in rows:
ws.append(row)
c1 = LineChart()
c1.title = "Line Chart"
c1.style = 13
c1.y_axis.title = 'Size'
c1.x_axis.title = 'Test Number'
data = Reference(ws, min_col=2, min_row=1, max_col=4, max_row=7)
c1.add_data(data, titles_from_data=True)
# Style the lines
s1 = c1.series[0]
s1.marker.symbol = "triangle"
s1.marker.graphicalProperties.solidFill = "FF0000" # Marker filling
s1.marker.graphicalProperties.line.solidFill = "FF0000" # Marker outline
s1.graphicalProperties.line.noFill = True
ws_list = cwb.get_sheet_names()
for dws in ws_list:
cws = cwb.get_sheet_by_name(dws)
col_max = cws.max_column
row_max = int(cws.max_row)
mm_cs = cwb.create_chartsheet()
mm_cs.title = "Chart_" + dws + "_MM"
DT_col = int(col_max) - 13
AC_col = int(col_max) - 12
timings = Reference(cws, min_col=2, min_row=5, max_row=row_max)
mm_r_ave = Reference(cws, min_col=DT_col, min_row=5, max_row=row_max)
mm_c_ave = Reference(cws, min_col=AC_col, min_row=5, max_row=row_max)
mm_chart = LineChart()
mm_r_ave_ser = Series(mm_r_ave, title="Dial Testing Score")
mm_c_ave_ser = Series(mm_c_ave, title="Mean Score")
mm_chart.append(mm_r_ave_ser)
mm_chart.append(mm_c_ave_ser)
mm_chart.set_categories(timings)
mm_cs.add_chart(mm_chart)
gender_cs = cwb.create_chartsheet()
gender_cs.title = "Chart_" + dws + "_SEX"
male_r_col = int(col_max) - 11
male_ave = int(col_max) - 10
female_r_col = int(col_max) - 9
female_ave = int(col_max) - 8
gender_male_r_ave = Reference(cws, min_col=male_r_col, min_row=5, max_row=row_max)
gender_female_r_ave = Reference(cws, min_col=female_r_col, min_row=5, max_row=row_max)
ws3.cell('A3').value = "Input Bandwidth"
for c,n in zip(ws2.range("B2:M2")[0], simThroughput):
c.value = n
c.style.font.bold = True
elif (bwLatency == 0):
ws3.cell('A3').value = "Packet Size"
for c,n in zip(ws2.range("B2:M2")[0], packetSizes):
c.value = n
c.style.font.bold = True
ws3.cell('A3').style.font.bold = True
for c, n in zip(ws3.range("B4:M4")[0], packetsDropped):
c.value = n
wb.save("emmaResults.xlsx")
# Throughput and mem. efficiency charts
throughputChart = LineChart()
throughputChart.show_legend = False
if(bwLatency == 1): throughputChart.x_axis.title = "No. of Flows"
elif(bwLatency == 1): throughputChart.x_axis.title = "Input Throughput (in Gbps)"
elif(bwLatency == 0): throughputChart.x_axis.title = "Packet Size (in Bytes)"
throughputChart.y_axis.title = "Mem. Throughput (in Gbps)"
throughputChart.add_serie(Serie(Reference(ws1, (2, 2), (2, 2 + counter)), labels=(Reference(ws1, (1, 1), (1, counter)))))
ws1.add_chart(throughputChart)
memEfficienyChart = LineChart()
memEfficienyChart.y_axis.min = 0
memEfficienyChart.y_axis.max = 100
memEfficienyChart.add_serie(Serie(Reference(ws1, (3, 2), (3, 2 + counter)), labels=(Reference(ws1, (1, 1), (1, counter)))))
memEfficienyChart.show_legend = False
memEfficienyChart.y_axis.title = "Mem. Efficiency (in % of clock cycles used)"
if(bwLatency == 2): memEfficienyChart.x_axis_title = "No. of Flows"
elif(bwLatency == 1): memEfficienyChart.x_axis.title = "Input Throughput (in Gbps)"
def draw_pic(wb, excel_filename, rain, temp, humi, wind, rain_use, temp_use,
humi_use, wind_use, time_range):
ws3 = wb.create_sheet("製圖")
rows = [time_range]
for row in list(zip(*rows)):
ws3.append(row)
dates = Reference(ws3, min_col=1, min_row=1, max_row=24)
##############################################
rain.insert(0, '預報降雨')
rain_use.insert(0, '觀測降雨')
rows = [rain, rain_use]
for row in list(zip(*rows)):
ws3.append(row)
chart_rain = LineChart()
chart_rain.title = "降雨"
chart_rain.style = 2
chart_rain.y_axis.title = 'mm'
chart_rain.x_axis.title = '預報時間'
data = Reference(ws3, min_col=1, min_row=25, max_row=49, max_col=2)
chart_rain.add_data(data, titles_from_data=True)
chart_rain.set_categories(dates)
##############################################
temp.insert(0, '預報溫度')
temp_use.insert(0, '觀測溫度')
rows = [temp, temp_use]
for row in list(zip(*rows)):
ws3.append(row)
chart_temp = LineChart()
chart_temp.title = "氣溫"
chart_temp.style = 2
chart_temp.y_axis.title = '℃'
chart_temp.x_axis.title = '預報時間'
data = Reference(ws3, min_col=1, min_row=50, max_row=74, max_col=2)
chart_temp.add_data(data, titles_from_data=True)
chart_temp.set_categories(dates)
##############################################
humi.insert(0, '預報濕度')
humi_use.insert(0, '觀測濕度')
rows = [humi, humi_use]
for row in list(zip(*rows)):
ws3.append(row)
chart_humi = LineChart()
chart_humi.title = "濕度"
chart_humi.style = 2
chart_humi.y_axis.title = '%'
chart_humi.x_axis.title = '預報時間'
data = Reference(ws3, min_col=1, min_row=75, max_row=99, max_col=2)
chart_humi.add_data(data, titles_from_data=True)
chart_humi.set_categories(dates)
##############################################
wind.insert(0, '預報風速')
wind_use.insert(0, '觀測風速')
rows = [wind, wind_use]
for row in list(zip(*rows)):
ws3.append(row)
chart_wind = LineChart()
chart_wind.title = "風速"
chart_wind.style = 2
chart_wind.y_axis.title = 'm/s'
chart_wind.x_axis.title = '預報時間'
data = Reference(ws3, min_col=1, min_row=100, max_row=124, max_col=2)
chart_wind.add_data(data, titles_from_data=True)
chart_wind.set_categories(dates)
##############################################
ws3.add_chart(chart_rain, "C1")
ws3.add_chart(chart_temp, "C14")
ws3.add_chart(chart_humi, "C27")
ws3.add_chart(chart_wind, "C40")
wb.save(excel_filename)
['Humans', 10, 40, 50, 20, 10, 50],
]
for row in rows:
ws.append(row)
c1 = BarChart()
v1 = Reference(ws, min_col=1, min_row=1, max_col=7)
c1.add_data(v1, titles_from_data=True, from_rows=True)
c1.x_axis.title = 'Days'
c1.y_axis.title = 'Aliens'
c1.y_axis.majorGridlines = None
c1.title = 'Survey results'
# Create a second chart
c2 = LineChart()
v2 = Reference(ws, min_col=1, min_row=2, max_col=7)
c2.add_data(v2, titles_from_data=True, from_rows=True)
c2.y_axis.axId = 200
c2.y_axis.title = "Humans"
# Display y-axis of the second chart on the right by setting it to cross the x-axis at its maximum
c1.y_axis.crosses = "max"
c1 += c2
ws.add_chart(c1, "D4")
wb.save("secondary.xlsx")
products.append(product)
workbook = Workbook()
sheet = workbook.active
# Append column names first
sheet.append([
"Product ID", "Product Name", "Month 1", "Month 2", "Month 3", "Month 4",
"Month 5"
])
# Append the data
for product in products:
data = [product.id, product.name]
for sale in product.sales:
data.append(sale.quantity)
sheet.append(data)
chart = LineChart()
data = Reference(worksheet=sheet, min_row=2, max_row=6, min_col=2, max_col=7)
chart.add_data(data, titles_from_data=True, from_rows=True)
sheet.add_chart(chart, "B8")
cats = Reference(worksheet=sheet, min_row=1, max_row=1, min_col=3, max_col=7)
chart.set_categories(cats)
chart.x_axis.title = "Months"
chart.y_axis.title = "Sales (per unit)"
workbook.save(filename="oop_sample.xlsx")
def generate_excel(report, name, reporting_start_datetime_local,
reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000'))
b_border = Border(bottom=Side(border_style='medium', color='00000000'), )
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
c_r_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
# Img
img = Image("excelexporters/myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
# img = Image("myems.png")
ws.add_image(img, 'B1')
# Title
ws.row_dimensions[3].height = 60
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
##################################
current_row_number = 6
reporting_period_data = report['reporting_period']
has_names_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_names_data_flag = False
if has_names_data_flag:
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 报告期产出'
current_row_number += 1
category = reporting_period_data['names']
ca_len = len(category)
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].border = f_border
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
col = chr(ord(col) + 1)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '产出'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(
reporting_period_data['subtotals'][i], 2)
col = chr(ord(col) + 1)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '单位面积值'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(
reporting_period_data['subtotals_per_unit_area'][i], 2)
col = chr(ord(col) + 1)
current_row_number += 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '环比'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = name_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = str(
round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \
if reporting_period_data['increment_rates'][i] is not None else '-'
col = chr(ord(col) + 1)
current_row_number += 2
#######################
has_values_data = True
has_timestamps_data = True
if 'values' not in reporting_period_data.keys() or \
reporting_period_data['values'] is None or \
len(reporting_period_data['values']) == 0:
has_values_data = False
if 'timestamps' not in reporting_period_data.keys() or \
reporting_period_data['timestamps'] is None or \
len(reporting_period_data['timestamps']) == 0 or \
len(reporting_period_data['timestamps'][0]) == 0:
has_timestamps_data = False
if has_values_data and has_timestamps_data:
ca_len = len(reporting_period_data['names'])
time = reporting_period_data['timestamps'][0]
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 详细数据'
current_row_number += 1
chart_start_row_number = current_row_number
current_row_number += ca_len * 6
table_start_row_number = current_row_number
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '日期时间'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
col = chr(ord(col) + 1)
current_row_number += 1
for i in range(0, len(time)):
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = time[i]
col = 'C'
for j in range(0, ca_len):
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \
if reporting_period_data['values'][j][i] is not None else 0.00
col = chr(ord(col) + 1)
current_row_number += 1
table_end_row_number = current_row_number - 1
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)].alignment = c_c_alignment
ws['B' + str(current_row_number)].border = f_border
ws['B' + str(current_row_number)] = '小计'
col = 'C'
for i in range(0, ca_len):
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)] = round(
reporting_period_data['subtotals'][i], 2)
col = chr(ord(col) + 1)
current_row_number += 2
format_time_width_number = 1.0
min_len_number = 1.0
min_width_number = 11.0 # format_time_width_number * min_len_number + 4 and min_width_number > 11.0
if period_type == 'hourly':
format_time_width_number = 4.0
min_len_number = 2
min_width_number = 12.0
elif period_type == 'daily':
format_time_width_number = 2.5
min_len_number = 4
min_width_number = 14.0
elif period_type == 'monthly':
format_time_width_number = 2.1
min_len_number = 4
min_width_number = 12.4
elif period_type == 'yearly':
format_time_width_number = 1.5
min_len_number = 5
min_width_number = 11.5
for i in range(0, ca_len):
line = LineChart()
line.title = '报告期产出 - ' + \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
labels = Reference(ws,
min_col=2,
min_row=table_start_row_number + 1,
max_row=table_end_row_number)
line_data = Reference(ws,
min_col=3 + i,
min_row=table_start_row_number,
max_row=table_end_row_number)
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = format_time_width_number * len(time) if len(
time) > min_len_number else min_width_number
if line.width > 24:
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
#####################################
has_child_flag = True
if "child_space" not in report.keys() or "energy_category_names" not in report['child_space'].keys() or \
len(report['child_space']["energy_category_names"]) == 0 \
or 'child_space_names_array' not in report['child_space'].keys() \
or report['child_space']['child_space_names_array'] is None \
or len(report['child_space']['child_space_names_array']) == 0 \
or len(report['child_space']['child_space_names_array'][0]) == 0:
has_child_flag = False
if has_child_flag:
child = report['child_space']
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 子空间数据'
current_row_number += 1
table_start_row_number = current_row_number
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].border = f_border
ca_len = len(child['energy_category_names'])
for i in range(0, ca_len):
row = chr(ord('C') + i)
ws[row + str(current_row_number)].fill = table_fill
ws[row + str(current_row_number)].font = name_font
ws[row + str(current_row_number)].alignment = c_c_alignment
ws[row + str(current_row_number)].border = f_border
ws[row + str(current_row_number)] = \
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
space_len = len(child['child_space_names_array'][0])
for i in range(0, space_len):
current_row_number += 1
row = str(current_row_number)
ws['B' + row].font = name_font
ws['B' + row].alignment = c_c_alignment
ws['B' + row] = child['child_space_names_array'][0][i]
ws['B' + row].border = f_border
for j in range(0, ca_len):
col = chr(ord('C') + j)
ws[col + row].font = name_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(child['subtotals_array'][j][i], 2)
ws[col + row].border = f_border
table_end_row_number = current_row_number
current_row_number += 1
pie_start_row_number = current_row_number
# Pie
for i in range(0, ca_len):
pie = PieChart()
labels = Reference(ws,
min_col=2,
min_row=table_start_row_number + 1,
max_row=table_end_row_number)
pie_data = Reference(ws,
min_col=3 + i,
min_row=table_start_row_number,
max_row=table_end_row_number)
pie.add_data(pie_data, titles_from_data=True)
pie.set_categories(labels)
pie.height = 6.6
pie.width = 8
pie.title = ws.cell(column=3 + i, row=table_start_row_number).value
s1 = pie.series[0]
s1.dLbls = DataLabelList()
s1.dLbls.showCatName = False
s1.dLbls.showVal = True
s1.dLbls.showPercent = True
chart_cell = ''
if i % 2 == 0:
chart_cell = 'B' + str(pie_start_row_number)
else:
chart_cell = 'E' + str(pie_start_row_number)
pie_start_row_number += 5
ws.add_chart(pie, chart_cell)
current_row_number = pie_start_row_number
if ca_len % 2 == 1:
current_row_number += 5
current_row_number += 1
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
def noteused(self):
self.ws = ws
self.ws.SetColWid(2,10)
self.ws.SetColWid(3,60)
self.ws.SetColWid(4,20)
self.ws.SetColWid(5,20)
self.ws.SetColWid(6,10)
self.ws.DrawRegion(2,2,66,6,'thick','Blue 1')
self.ws.ws.merge_cells('C3:E3')
fmt1 = {'hAlign':'C','vAlign':'C','font':{'emph':'B','size':14}}
fmt2 = {'hAlign':'L','vAlign':'C','border':{'A':'thin'},'fill':'Blue 2','font':{'emph':'B','size':11}}
fmt2a = {'hAlign':'C','vAlign':'C','border':{'A':'thin'},'fill':'Blue 2','font':{'emph':'B','size':11}}
fmt2b = {'hAlign':'C','vAlign':'C','border':{'A':'thin'},'fill':'Blue 2','numFmt':'0.0','font':{'emph':'B'}}
fmt3 = {'hAlign':'L','vAlign':'C','border':{'A':'thin'},'fill':'Blue 3'}
fmt3a = {'hAlign':'C','vAlign':'C','border':{'A':'thin'},'fill':'Blue 3'}
fmt3b = {'hAlign':'C','vAlign':'C','border':{'A':'thin'},'fill':'Blue 3','numFmt':'0.0','font':{'emph':'B'}}
fmt4 = {'hAlign':'L','vAlign':'C','border':{'A':'thin'},'fill':'Green 1'}
fmt4b = {'hAlign':'C','vAlign':'C','border':{'A':'thin'},'fill':'Green 1','numFmt':'0.0','font':{'emph':'B'}}
fmt5 = {'hAlign':'L','vAlign':'C','border':{'A':'thin'},'fill':'Orange 1'}
fmt5b = {'hAlign':'C','vAlign':'C','border':{'A':'thin'},'fill':'Orange 1','numFmt':'0.0','font':{'emph':'B'}}
fmt6 = {'hAlign':'L','vAlign':'C','border':{'A':'thin'},'fill':'Red 1'}
fmt6b = {'hAlign':'C','vAlign':'C','border':{'A':'thin'},'fill':'Red 1','numFmt':'0.0','font':{'emph':'B'}}
fmt7 = {'hAlign':'L','vAlign':'C','border':{'A':'thin'},'fill':'Yellow 1'}
fmt7b = {'hAlign':'C','vAlign':'C','border':{'A':'thin'},'fill':'Yellow 1','numFmt':'0.0','font':{'emph':'B'}}
self.ws.SetCell( 3, 3,'Monthly Summary Statement: Year To Date (YTD)',fmt1)
self.ws.SetCell( 6, 3,'Hours',fmt2)
self.ws.SetCell( 6, 4,'Hours',fmt2a)
self.ws.SetCell( 6, 5,'As a % of Contracted',fmt2a)
self.ws.SetCell( 7, 3,'Contracted number of hours',fmt3)
self.ws.SetCell( 7, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.UTL_OT.TBL_DATA.CONTRACTED)',fmt3b)
self.ws.SetCell( 7, 5,None,fmt3b)
self.ws.SetCell( 8, 3,'Total Hours booked',fmt3)
self.ws.SetCell( 8, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.UTL_CF.TBL_DATA.TOTAL_TIME)',fmt3b)
self.ws.SetCell( 8, 5,None,fmt3b)
self.ws.SetCell( 9, 3,'Additional hours worked over contracted',fmt3)
self.ws.SetCell( 9, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.UTL_OT.TBL_DATA.ADDITIONAL)',fmt3b)
self.ws.SetCell( 9, 5,None,fmt3b)
self.ws.SetCell(10, 3,'Number of Heads',fmt3)
self.ws.ws.merge_cells('D10:E10')
self.ws.SetCell(10, 4,16,fmt3b)
self.ws.SetCell(10, 5,None,fmt3b)
self.ws.ws.merge_cells('D12:E12')
self.ws.ws.merge_cells('D13:E13')
self.ws.ws.merge_cells('D14:E14')
self.ws.ws.merge_cells('D15:E15')
self.ws.ws.merge_cells('D16:E16')
self.ws.SetCell(12, 3,'Activity (Summary) AVERAGE ACCROSS YEAR',fmt2)
self.ws.SetCell(12, 4,'Percentage %',fmt2a)
self.ws.SetCell(13, 3,'Utilisation (Customer Funded works)',fmt4)
self.ws.SetCell(13, 4,'=AVERAGE(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.UTL_CF.ROW_COMP_TBL.UTILISATION_AS_A_PCT)',fmt4b)
self.ws.SetCell(13, 5,None,fmt4b)
self.ws.SetCell(14, 3,'Utilisation (Pre Sales work)',fmt5)
self.ws.SetCell(14, 4,'=AVERAGE(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.UTL_PS.ROW_COMP_TBL.UTILISATION_AS_A_PCT)',fmt5b)
self.ws.SetCell(14, 5,None,fmt5b)
self.ws.SetCell(15, 3,'Utilisation (Downtime,Exc Leave and Sickness)',fmt6)
self.ws.SetCell(15, 4,'=AVERAGE(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.UTL_DT.ROW_COMP_TBL.UTILISATION_AS_A_PCT)',fmt6b)
self.ws.SetCell(15, 5,None,fmt6b)
self.ws.SetCell(16, 3,'Utilisation (Leave and Sickness)',fmt7)
self.ws.SetCell(16, 4,'=AVERAGE(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.UTL_LS.ROW_COMP_TBL.UTILISATION_AS_A_PCT)',fmt7b)
self.ws.SetCell(16, 5,None,fmt7b)
self.ws.SetCell(19, 3,'Activity (Detailed)',fmt2)
self.ws.SetCell(19, 4,'Hours',fmt2a)
self.ws.SetCell(19, 5,'As a % of Total',fmt2a)
self.ws.SetCell(20, 3,'Support agreement (Software)',fmt4)
self.ws.SetCell(20, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.SUPPORT_AGREEMENT_SOFTWARE___10)',fmt4b)
self.ws.SetCell(20, 5,'=D20/SUM(D20:D27)*100',fmt4b)
self.ws.SetCell(21, 3,'Hardware agreement (Hardware)',fmt4)
self.ws.SetCell(21, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.SUPPORT_AGREEMENT_HARDWARE___11)',fmt4b)
self.ws.SetCell(21, 5,'=D21/SUM(D20:D27)*100',fmt4b)
self.ws.SetCell(22, 3,'Post Sales support (SW-Customer Funded)',fmt4)
self.ws.SetCell(22, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.POST_SALES_SUPPORT_SW_CUSTOMER_FUNDED___14)',fmt4b)
self.ws.SetCell(22, 5,'=D22/SUM(D20:D27)*100',fmt4b)
self.ws.SetCell(23, 3,'Post Sales support (HW-Customer Funded',fmt4)
self.ws.SetCell(23, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.POST_SALES_SUPPORT_HW_CUSTOMER_FUNDED___15)',fmt4b)
self.ws.SetCell(23, 5,'=D23/SUM(D20:D27)*100',fmt4b)
self.ws.SetCell(24, 3,'NRE (Customer funded)',fmt4)
self.ws.SetCell(24, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.POST_SALES_SUPPORT_HW_CUSTOMER_FUNDED___15)',fmt4b)
self.ws.SetCell(24, 5,'=D24/SUM(D20:D27)*100',fmt4b)
self.ws.SetCell(25, 3,'Training - Providing - Non Customer Specific',fmt4)
self.ws.SetCell(25, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.TRAINING___PROVIDING___NON_CUSTOMER_SPECIFIC___17)',fmt4b)
self.ws.SetCell(25, 5,'=D25/SUM(D20:D27)*100',fmt4b)
self.ws.SetCell(26, 3,'Training - Providing - Customer Specific',fmt4)
self.ws.SetCell(26, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.TRAINING___PROVIDING___CUSTOMER_SPECIFIC___18)',fmt4b)
self.ws.SetCell(26, 5,'=D26/SUM(D20:D27)*100',fmt4b)
self.ws.SetCell(27, 3,'Post Sales Support (Warranty Period)',fmt4)
self.ws.SetCell(27, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.POST_SALES_SUPPORT_WARRANTY_PERIOD___23)',fmt4b)
self.ws.SetCell(27, 5,'=D27/SUM(D20:D27)*100',fmt4b)
self.ws.SetCell(28, 3,'Pre Sales Support',fmt5)
self.ws.SetCell(28, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.PRE_SALES_SUPPORT___12)',fmt5b)
self.ws.SetCell(28, 5,'=D28/SUM(D28:D33)*100',fmt5b)
self.ws.SetCell(29, 3,'Post Sales Support (Non contract)',fmt5)
self.ws.SetCell(29, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.POST_SALES_SUPPORT_NON_CONTRACT___13)',fmt5b)
self.ws.SetCell(29, 5,'=D29/SUM(D28:D33)*100',fmt5b)
self.ws.SetCell(30, 3,'Training - Receiving - Non Customer Specific',fmt5)
self.ws.SetCell(30, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.TRAINING___RECEIVING___NON_CUSTOMER_SPECIFIC___19)',fmt5b)
self.ws.SetCell(30, 5,'=D30/SUM(D28:D33)*100',fmt5b)
self.ws.SetCell(31, 3,'Training - Receiving - Customer Specific',fmt5)
self.ws.SetCell(31, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.TRAINING___RECEIVING___CUSTOMER_SPECIFIC___20)',fmt5b)
self.ws.SetCell(31, 5,'=D31/SUM(D28:D33)*100',fmt5b)
self.ws.SetCell(32, 3,'Internal Business Meeting',fmt5)
self.ws.SetCell(32, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.INTERNAL_BUSINESS_MEETING___21)',fmt5b)
self.ws.SetCell(32, 5,'=D32/SUM(D28:D33)*100',fmt5b)
self.ws.SetCell(33, 3,'Professional Services',fmt5)
self.ws.SetCell(33, 4,'=SUM(MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.ACTIVITY.TBL_DATA.PROFESSIONAL_SERVICES___22)',fmt5b)
self.ws.SetCell(33, 5,'=D33/SUM(D28:D33)*100',fmt5b)
self.ws.SetCell(34, 3,'Downtime - Excluding Leave & Sickness',fmt6)
self.ws.SetCell(34, 4,'=SUM(GS232:HE232)',fmt6b)
self.ws.SetCell(34, 5,'=D34/SUM(D34:D34)*100',fmt6b)
self.ws.SetCell(35, 3,'Leave and Sickness',fmt7)
self.ws.SetCell(35, 4,'=SUM(GS237:HE237)',fmt7b)
self.ws.SetCell(35, 5,'=D35/SUM(D35:D35)*100',fmt7b)
self.ws.SetCell(37, 3,'Customer split',fmt2)
self.ws.SetCell(37, 4,'Hours',fmt2a)
self.ws.SetCell(37, 5,'As a % of Total',fmt2a)
self.ws.SetCell(38, 3,'Ericsson',fmt3)
self.ws.SetCell(38, 4,'=SUM(GS247:HE247)',fmt3b)
self.ws.SetCell(38, 5,'=D38/SUM(D38:D44)*100',fmt3b)
self.ws.SetCell(39, 3,'Nokia',fmt3)
self.ws.SetCell(39, 4,'=SUM(GS248:HE248)',fmt3b)
self.ws.SetCell(39, 5,'=D39/SUM(D38:D44)*100',fmt3b)
self.ws.SetCell(40, 3,'Alcatel-Lucent',fmt3)
self.ws.SetCell(40, 4,'=SUM(GS249:HE249)',fmt3b)
self.ws.SetCell(40, 5,'=D40/SUM(D38:D44)*100',fmt3b)
self.ws.SetCell(41, 3,'Sum of all other customers',fmt3)
self.ws.SetCell(41, 4,'=SUM(GS250:HE250)',fmt3b)
self.ws.SetCell(41, 5,'=D41/SUM(D38:D44)*100',fmt3b)
self.ws.SetCell(42, 3,'Cobham',fmt3)
self.ws.SetCell(42, 4,'=SUM(GS251:HE251)',fmt3b)
self.ws.SetCell(42, 5,'=D42/SUM(D38:D44)*100',fmt3b)
self.ws.SetCell(43, 3,'Technical Training - All Types',fmt3)
self.ws.SetCell(43, 4,'=SUM(GS252:HE251)',fmt3b)
self.ws.SetCell(43, 5,'=D43/SUM(D38:D44)*100',fmt3b)
self.ws.SetCell(44, 3,'Customer \'Other\'',fmt3)
self.ws.SetCell(44, 4,'=SUM(GS253:HE251)',fmt3b)
self.ws.SetCell(44, 5,'=D44/SUM(D38:D44)*100',fmt3b)
self.ws.SetCell(46, 3,'Labour and Travel',fmt2)
self.ws.SetCell(46, 4,'Hours',fmt2a)
self.ws.SetCell(46, 5,'As a % of Total',fmt2a)
self.ws.SetCell(47, 3,'Number of Labour Hours',fmt3)
self.ws.SetCell(47, 4,'=SUM(GS217:HE217)',fmt3b)
self.ws.SetCell(47, 5,'=D47/SUM(D47:D49)*100',fmt3b)
self.ws.SetCell(48, 3,'Number of Labour Hours',fmt3)
self.ws.SetCell(48, 4,'=SUM(GS218:HE218)',fmt3b)
self.ws.SetCell(48, 5,'=D48/SUM(D47:D49)*100',fmt3b)
self.ws.SetCell(49, 3,'Number of Labour Hours',fmt3)
self.ws.SetCell(49, 4,'=SUM(GS219:HE219)',fmt3b)
self.ws.SetCell(49, 5,'=D49/SUM(D47:D49)*100',fmt3b)
self.ws.DrawBorder( 6, 3, 10, 5,'medium')
self.ws.DrawBorder( 6, 3, 6, 5,'medium')
self.ws.DrawBorder(12, 3, 16, 5,'medium')
self.ws.DrawBorder(12, 3, 12, 5,'medium')
self.ws.DrawBorder(19, 3, 35, 5,'medium')
self.ws.DrawBorder(19, 3, 19, 5,'medium')
self.ws.DrawBorder(37, 3, 44, 5,'medium')
self.ws.DrawBorder(37, 3, 37, 5,'medium')
self.ws.DrawBorder(46, 3, 49, 5,'medium')
self.ws.DrawBorder(46, 3, 46, 5,'medium')
range = None
for item in self.ws.wb._named_ranges:
if (item.name == 'MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.UTL_CF.ROW_COMP_TBL.UTILISATION_AS_A__'):
dRange = item
break
for item in self.ws.wb._named_ranges:
if (item.name == 'MATRIX_EMEA_YTD.MATRIX.EMEA.YTD.UTL_CF.COL_DATA_HDR.ALL'):
lRange = item
break
chart = LineChart()
chart.title = 'This is my chart'
