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(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 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
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 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 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 generate_excel(report, name, reporting_start_datetime_local,
reporting_end_datetime_local, period_type):
wb = Workbook()
ws = wb.active
ws.title = "SpaceStatistics"
# 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: Statistics
# 6: title
# 7: table title
# 8~ca_len table_data
####################################################################################################################
reporting_period_data = report['reporting_period']
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
ws['B6'].font = title_font
ws['B6'] = name + ' ' + 'Statistics'
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'] = 'Reporting Period'
ws['B7'].border = f_border
ws['C7'].font = title_font
ws['C7'].alignment = c_c_alignment
ws['C7'] = 'Arithmetic Mean'
ws['C7'].border = f_border
ws['D7'].font = title_font
ws['D7'].alignment = c_c_alignment
ws['D7'] = 'Median (Middle Value)'
ws['D7'].border = f_border
ws['E7'].font = title_font
ws['E7'].alignment = c_c_alignment
ws['E7'] = 'Minimum Value'
ws['E7'].border = f_border
ws['F7'].font = title_font
ws['F7'].alignment = c_c_alignment
ws['F7'] = 'Maximum Value'
ws['F7'].border = f_border
ws['G7'].font = title_font
ws['G7'].alignment = c_c_alignment
ws['G7'] = 'Sample Standard Deviation'
ws['G7'].border = f_border
ws['H7'].font = title_font
ws['H7'].alignment = c_c_alignment
ws['H7'] = 'Sample Variance'
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)] = 'Increment Rate'
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: Reporting Period Consumption
# 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
####################################################################################################################
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 + ' ' + 'Per Unit Area'
ws['D' + str(per_unit_area_start_row_number)].font = title_font
ws['D' + str(per_unit_area_start_row_number)] = str(
report['space']['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)] = 'Reporting Period'
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)] = 'Arithmetic Mean'
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)] = 'Median (Middle Value)'
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)] = 'Minimum Value'
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)] = 'Maximum Value'
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)] = 'Sample Standard Deviation'
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)] = 'Sample Variance'
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: Detailed Data
# analysis_end_row_number~ analysis_end_row_number+time_len: line
# analysis_end_row_number+1+line_charts_row_number: table title
# i + analysis_end_row_number + 2 + 10 * 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 + ' ' + 'Detailed Data'
# 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)] = 'Datetime'
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
# Subtotal
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)] = 'Subtotal'
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 = "Reporting Period Consumption" + " - " + 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'])
file_name = 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
['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")
# 插入平均Frame值
resultsheet['J1'] = "平均值ms"
resultsheet['J2'] = "=AVERAGEA(H3:H122)"
# 画图准备
chart = LineChart()
chart.title = titlename + str(j)
# chart.style = 5 #style都很丑，还不如默认的
chart.y_axis.title = 'ms'
chart.x_axis.title = 'Frame'
chart.width = 30
chart.height = 15
# data选取范围
data = Reference(resultsheet, min_col=8, min_row=2, max_col=9, max_row=122)
chart.add_data(data, titles_from_data=True)
# 创建图表,在B3位置插入
resultsheet.add_chart(chart,"B3")
#记录时间戳作为文件名
# filename = time.strftime('%Y%m%d_%H%M%S',time.localtime(time.time())) + ".xlsx"
# wb.save(filename)
#以执行名称 titlename作为文件名
filename2 = titlename + str(j) + ".xlsx"
wb.save(filename2)
# 数据
print ("缓存处理完毕，保存数据到本地" + str(filename2))
time.sleep(3)
[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
s2 = c1.series[1]
s2.graphicalProperties.line.solidFill = "00AAAA"
s2.graphicalProperties.line.dashStyle = "sysDot"
s2.graphicalProperties.line.width = 100050 # width in EMUs
s2 = c1.series[2]
#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()
_ = ws3.cell(column=1, row=1, value="项目")
_ = ws3.cell(column=2, row=1, value="总计")
for r in range(2,7):
_ = ws3.cell(column=1, row=r, value=ws2.rows[r-1][0].value)
_ = ws3.cell(column=2, row=r, value=ws2.rows[r-1][total_column-1].value)
pie = PieChart()
from openpyxl import load_workbook
from openpyxl.chart import BarChart, Reference, LineChart
wb = load_workbook("sample.xlsx")
ws = wb.active
#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() #차트의 종류 설정(Bar,Line,pie)
# bar_chart.add_data(bar_value) # 차트 데이터 추가
# ws.add_chart(bar_chart,"E1") #차트 넣을 위치
#B1:C11까지의 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"
line_chart.style = 10 # 미리 정의된 스타일을 적용, 사용자 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
ws.title = "CombinedEquipmentEnergyItem"
# 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)] = '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
if has_values_data and has_timestamps_data:
ca_len = len(reporting_period_data['names'])
time = reporting_period_data['timestamps'][0]
real_timestamps_len = timestamps_data_not_equal_0(
report['parameters']['timestamps'])
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' ' + 'Detailed Data'
current_row_number += 1
chart_start_row_number = current_row_number
current_row_number += ca_len * 6 + real_timestamps_len * 7 + 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 = 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)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
####################################################################################################################
has_associated_equipment_flag = True
if "associated_equipment" not in report.keys() or \
"energy_item_names" not in report['associated_equipment'].keys() or \
len(report['associated_equipment']["energy_item_names"]) == 0 \
or 'associated_equipment_names_array' not in report['associated_equipment'].keys() \
or report['associated_equipment']['associated_equipment_names_array'] is None \
or len(report['associated_equipment']['associated_equipment_names_array']) == 0 \
or len(report['associated_equipment']['associated_equipment_names_array'][0]) == 0:
has_associated_equipment_flag = False
if has_associated_equipment_flag:
associated_equipment = report['associated_equipment']
ws['B' + str(current_row_number)].font = title_font
ws['B' +
str(current_row_number)] = name + ' ' + 'Associated Equipment Data'
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)] = 'Associated Equipment'
ca_len = len(associated_equipment['energy_item_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] + ")"
associated_equipment_len = len(
associated_equipment['associated_equipment_names_array'][0])
for i in range(0, associated_equipment_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] = associated_equipment[
'associated_equipment_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 = title_font
ws[col + row].alignment = c_c_alignment
ws[col + row] = round(
associated_equipment['subtotals_array'][j][i], 2)
ws[col + row].border = f_border
####################################################################################################################
current_sheet_parameters_row_number = chart_start_row_number + 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'])
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
def place_in_excel(proj_list, data_key_list, total_data, q_masters_dict_list,
q_masters_list, period):
wb = Workbook()
ws = wb.active
ws.cell(row=1, column=1).value = 'Project'
for i, proj_name in enumerate(proj_list):
'''lists project names in row one'''
ws.cell(row=1, column=i + 2).value = proj_name
'''iterates through financial dictionary - placing financial data in ws'''
for x, key in enumerate(data_key_list):
try:
if period == 'baseline':
ws.cell(row=x + 2,
column=i + 2).value = q_masters_dict_list[
q_masters_list[proj_name][2]][proj_name][key]
if period == 'last':
ws.cell(row=x + 2, column=i + 2).value = \
q_masters_dict_list[q_masters_list[proj_name][1]][proj_name][key]
if period == 'latest':
ws.cell(row=x + 2, column=i + 2).value = \
q_masters_dict_list[q_masters_list[proj_name][0]][proj_name][key]
except KeyError:
ws.cell(row=x + 2, column=i + 2).value = 0
'''places totals in final column. to note because this is a list and not a dictionary as for fin_data there is
possibility that data could become unaligned. Whether changing the list of cells_to_capture causes them to become
unaligned needs to be tested'''
ws.cell(row=1, column=len(proj_list) + 2).value = 'Total'
for i, values in enumerate(total_data):
ws.cell(row=i + 2, column=len(proj_list) + 2).value = values
'''places keys into the chart in the first column'''
for i, key in enumerate(data_key_list):
ws.cell(row=i + 2, column=1).value = key
'''information on which projects are not included in totals'''
ws.cell(
row=1, column=len(proj_list) +
4).value = 'Projects that have been removed to avoid double counting'
for i, project in enumerate(dont_double_count):
ws.cell(row=i + 2, column=len(proj_list) + 4).value = project
# ws.cell(row=1, column=len(proj_list)+6).value = 'Projects that have been removed to enable like for like' \
# 'comparison of totals'
# for i, project in enumerate(like_for_like_totals):
# ws.cell(row=i + 2, column=len(proj_list)+6).value = project
'''data for overall chart. As above because this data is in a list - possibility of it being unaligned needs
testing. not the best way of managing data flow, but working for now'''
start_row = len(total_data) + 8
for x in range(0, int(len(total_data) / 4)):
ws.cell(row=start_row, column=2, value=total_data[x])
start_row += 1
start_row = len(total_data) + 8
for x in range(int(len(total_data) / 4), (int(len(total_data) / 4) * 2)):
ws.cell(row=start_row, column=3, value=total_data[x])
start_row += 1
start_row = len(total_data) + 8
for x in range((int(len(total_data) / 4) * 2),
(int(len(total_data) / 4) * 3)):
ws.cell(row=start_row, column=4, value=total_data[x])
start_row += 1
start_row = len(total_data) + 8
for x in range((int(len(total_data) / 4) * 3), int(len(total_data))):
ws.cell(row=start_row, column=5, value=total_data[x])
start_row += 1
'''code was essentially a hack'''
start_row = len(total_data) + 8
list_of_numbers = [0, len(capture_rdel), len(capture_rdel) * 2]
total_sum = 0
for i in range(0, len(capture_rdel)):
for x in list_of_numbers:
total_sum = total_sum + total_data[x + i]
ws.cell(row=start_row, column=6, value=total_sum)
start_row += 1
total_sum = 0
a = len(total_data) + 7
ws.cell(row=a, column=2, value='RDEL')
ws.cell(row=a, column=3, value='CDEL')
ws.cell(row=a, column=4, value='Non-Gov')
ws.cell(row=a, column=5, value='Income')
ws.cell(row=a, column=6, value='Total')
# ws.cell(row=a+1, column=1, value='17/18')
#ws.cell(row=a + 1, column=1, value='18/19')
ws.cell(row=a + 1, column=1, value='19/20')
ws.cell(row=a + 2, column=1, value='20/21')
ws.cell(row=a + 3, column=1, value='21/22')
ws.cell(row=a + 4, column=1, value='22/23')
ws.cell(row=a + 5, column=1, value='23/24')
ws.cell(row=a + 6, column=1, value='24/25')
ws.cell(row=a + 7, column=1, value='25/26')
ws.cell(row=a + 8, column=1, value='26/27')
ws.cell(row=a + 9, column=1, value='27/28')
ws.cell(row=a + 10, column=1, value='28/29')
ws.cell(row=a + 11, column=1, value='Unprofiled')
'''this builds a very basic chart'''
# TODO fix chart
chart = LineChart()
chart.title = 'Portfolio cost profile'
chart.style = 4
chart.x_axis.title = 'Financial Year'
chart.y_axis.title = 'Cost (£m)'
chart.height = 15 # default is 7.5
chart.width = 26 # default is 15
'''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
# 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
data = Reference(ws, min_col=2, min_row=51, max_col=5, max_row=61)
cats = Reference(ws, min_col=1, min_row=52, max_row=61)
chart.add_data(data, titles_from_data=True)
chart.set_categories(cats)
s3 = chart.series[0]
s3.graphicalProperties.line.solidFill = "36708a" # dark blue
s8 = chart.series[1]
s8.graphicalProperties.line.solidFill = "68db8b" # green
s9 = chart.series[2]
s9.graphicalProperties.line.solidFill = "794747" # dark red
s9 = chart.series[3]
s9.graphicalProperties.line.solidFill = "73527f" # purple
ws.add_chart(chart, "I52")
return wb
def importHospitalCases(totalHospitalised, inWard, inIcu, dead, dates,
hospital):
select = 0
while select not in ['1', '2']:
select = input('1. Save as...\n2. Back\n')
if select == '1':
filename = input('Save as: ')
if select == '2':
return
wb = xl.Workbook()
wb.save(f'./output/{filename}.xlsx')
wb = xl.load_workbook(f'./output/{filename}.xlsx')
sheet = wb.active
header = ['Total hospitalised', 'In ward', 'In icu', 'Dead', 'Date']
# Write the headers
for col in range(1, len(header) + 1):
header_row = sheet.cell(1, col)
header_row.value = header[col - 1]
bottom_row = row = 2
for i in totalHospitalised:
totalHospitalised_row = sheet.cell(row, 1)
totalHospitalised_row.value = i
row += 1
bottom_row += 1
row = 2
for i in inWard:
inWard_row = sheet.cell(row, 2)
inWard_row.value = i
row += 1
row = 2
for i in inIcu:
inIcu_row = sheet.cell(row, 3)
inIcu_row.value = i
row += 1
row = 2
for i in dead:
dead_row = sheet.cell(row, 4)
dead_row.value = i
row += 1
row = 2
for i in dates:
date_row = sheet.cell(row, 5)
date_row.value = i
row += 1
chart = LineChart()
chart.title = f'Hospital data, {hospital}, {dates[0]} - {dates[-1]}'
chart.style = 13
chart.y_axis.title = 'Infections'
chart.x_axis.title = 'Date'
values = Reference(sheet,
min_col=1,
min_row=1,
max_col=4,
max_row=bottom_row)
dates = Reference(sheet,
min_col=5,
min_row=2,
max_col=5,
max_row=bottom_row)
chart.add_data(values, titles_from_data=True)
chart.set_categories(dates)
sheet.add_chart(chart, "G2")
wb.save(f'./output/{filename}.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, 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 = '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 + ' 分时电耗'
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 = 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, "D13")
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)] = '成本占比'
current_row_number += 1
ca_len = len(reporting_period_data['names'])
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)
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 = 'D' + 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'])
real_timestamps_len = timestamps_data_not_equal_0(
report['parameters']['timestamps'])
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' 详细数据'
table_start_row_number = (current_row_number +
1) + ca_len * 6 + real_timestamps_len * 7
current_row_number = 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 - ' + ws.cell(
column=3 + i, row=table_start_row_number).value
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 = 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
##########################################
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
def tablaExcel(nombreArchivo):
wb = load_workbook(
filename=nombreArchivo
) #para arbir uno existente, con los colores preseteados
tabla = wb.active
#Busuqeda del indice del cromosoma con mayor funcion objetivo de todas las generaciones.
indiceMayorTotal = 0
mayorTotal = maximosFO[0]
for i in range(1, ciclos):
if (maximosFO[i] > mayorTotal):
mayorTotal = maximosFO[i]
indiceMayorTotal = i
tabla["A1"] = "Maximo cromosoma: "
tabla["C1"] = cromosomasMaxDecimal[indiceMayorTotal]
tabla['A1'].font = Font(bold=True, size=12, color="A72D13") #Estilo visual
tabla['C1'].font = Font(bold=True, size=12, color="A72D13")
tabla.append([
"Generacion", "Minimo FO", "Maximo FO", "ValorDecimal",
"Cromosoma Binario", "Promedio FO"
]) #titulos
tabla['A2'].font = Font(
bold=True) #Pongo los titulos en negrita. A modo visual
tabla['B2'].font = Font(bold=True)
tabla['C2'].font = Font(bold=True)
tabla['D2'].font = Font(bold=True)
tabla['E2'].font = Font(bold=True)
tabla['F2'].font = Font(bold=True)
for i in range(ciclos): #Datos de la corrida
tabla.append([
i + 1, minimosFO[i], maximosFO[i], cromosomasMaxDecimal[i],
str(cromosomasMax[i]), promediosFO[i]
])
#Generacion de grafico de lineas con minimos, maximos y promedios.
grafica = LineChart()
grafica.title = "Grafico de FO"
grafica.style = 10
grafica.y_axis.title = "Valores FO"
grafica.x_axis.title = "Ciclos"
grafica.y_axis.scaling.min = 0 #Limites del eje y
grafica.y_axis.scaling.max = 1
grafica.x_axis.scaling.min = 1 #Limites del eje x
grafica.x_axis.scaling.max = ciclos
data = Reference(tabla,
min_col=2,
min_row=2,
max_col=3,
max_row=ciclos +
2) #Rango que se grafica MaximoFO, MinimoFO
data2 = Reference(tabla, min_col=6, min_row=2,
max_row=ciclos + 2) #Columna de Promedio FO
grafica.add_data(data, titles_from_data=True)
grafica.add_data(data2, titles_from_data=True)
finTabla = "B" + str(
ciclos + 5
) #Para ubicar el grafico donde termina la tabla (dependendiendo la cant de ciclos)
tabla.add_chart(grafica, finTabla) #agregado y ubicacion del grafico
wb.save(nombreArchivo)
