def _draw_scatter_plot(self, cur_drawing, x_start, y_start,
x_end, y_end):
"""Draw a scatter plot on the drawing with the given coordinates."""
scatter_plot = LinePlot()
# set the dimensions of the scatter plot
scatter_plot.x = x_start
scatter_plot.y = y_start
scatter_plot.width = abs(x_start - x_end)
scatter_plot.height = abs(y_start - y_end)
scatter_plot.data = self.display_info
scatter_plot.joinedLines = 0
# set the axes of the plot
x_min, x_max, y_min, y_max = self._find_min_max(self.display_info)
scatter_plot.xValueAxis.valueMin = x_min
scatter_plot.xValueAxis.valueMax = x_max
scatter_plot.xValueAxis.valueStep = (x_max - x_min) / 10.0
scatter_plot.yValueAxis.valueMin = y_min
scatter_plot.yValueAxis.valueMax = y_max
scatter_plot.yValueAxis.valueStep = (y_max - y_min) / 10.0
self._set_colors_and_shapes(scatter_plot, self.display_info)
cur_drawing.add(scatter_plot)
def getHumPlot():
drawing = Drawing(400, 200)
humedad = [getHumedad()]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = humedad
ydlabel = Label()
ydlabel.setText("Humedad (%)")
ydlabel.angle = 90
ydlabel.setOrigin(20, 120)
lp.joinedLines = 2
lp.lines[0].symbol = makeMarker('Circle')
lp.lines[0].strokeColor = colors.blue
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 30
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 100
#lp.xValueAxis.visible=False
#lp.yValueAxis.visible=False #Hide 2nd plot its Yaxis
drawing.add(lp)
drawing.add(ydlabel)
drawing.add(String(130, 200, "Gráfico de humedad", fontSize=16))
return drawing
def line_plot(O, xy_max, data, label_font_size):
if (reportlab is None): return
from reportlab.graphics.charts.lineplots import LinePlot
from reportlab.graphics.widgets.markers import makeMarker
from reportlab.lib import colors
lp = LinePlot()
lp.x = 40
lp.y = 40
lp.height = 120
lp.width = 120
lp.data = [[(0, 0), (xy_max, xy_max)], data]
lp.lines[0].strokeColor = colors.Color(*[0.8] * 3)
lp.lines[0].strokeWidth = 0.5
lp.lines[1].strokeColor = colors.white
lp.lines[1].strokeWidth = 0
lp.lines[1].symbol = makeMarker("Circle")
lp.lines[1].symbol.strokeWidth = 0.5
lp.joinedLines = 1
lp.strokeColor = colors.Color(*[0.8] * 3)
lp.strokeWidth = 1
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = xy_max
lp.xValueAxis.valueSteps = range(xy_max + 1)
lp.xValueAxis.strokeWidth = 1
lp.xValueAxis.tickDown = 3
lp.xValueAxis.labels.fontSize = label_font_size
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = xy_max
lp.yValueAxis.valueSteps = range(xy_max + 1)
lp.yValueAxis.strokeWidth = 1
lp.yValueAxis.tickLeft = 3
lp.yValueAxis.labels.fontSize = label_font_size
return lp
def makePlotChart(self, context, width, height, data, xvalues, linecolors):
content = []
drawing = Drawing(width, height)
plot = LinePlot()
plot.x = 0
plot.y = self.padding
plot.height = height - 2 * self.padding
plot.width = width
plot.data = data
plot.joinedLines = 1
plot.lineLabelFormat = '%2.0f'
i = 0
for color in linecolors :
plot.lines[i].strokeColor = colors.HexColor(color)
i+=1
if xvalues :
plot.xValueAxis.valueSteps = xvalues
drawing.add(plot)
content.append( drawing )
return content
def line_plot(O, xy_max, data, label_font_size):
if (reportlab is None): return
from reportlab.graphics.charts.lineplots import LinePlot
from reportlab.graphics.widgets.markers import makeMarker
from reportlab.lib import colors
lp = LinePlot()
lp.x = 40
lp.y = 40
lp.height = 120
lp.width = 120
lp.data = [[(0,0),(xy_max,xy_max)], data]
lp.lines[0].strokeColor = colors.Color(*[0.8]*3)
lp.lines[0].strokeWidth = 0.5
lp.lines[1].strokeColor = colors.white
lp.lines[1].strokeWidth = 0
lp.lines[1].symbol = makeMarker("Circle")
lp.lines[1].symbol.strokeWidth = 0.5
lp.joinedLines = 1
lp.strokeColor = colors.Color(*[0.8]*3)
lp.strokeWidth = 1
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = xy_max
lp.xValueAxis.valueSteps = range(xy_max+1)
lp.xValueAxis.strokeWidth = 1
lp.xValueAxis.tickDown = 3
lp.xValueAxis.labels.fontSize = label_font_size
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = xy_max
lp.yValueAxis.valueSteps = range(xy_max+1)
lp.yValueAxis.strokeWidth = 1
lp.yValueAxis.tickLeft = 3
lp.yValueAxis.labels.fontSize = label_font_size
return lp
def line_plot(final_dis_angle):
drawing = Drawing()
data = [final_dis_angle]
lp = LinePlot()
lp.x = 0
lp.y = -120
lp.height = 300
lp.width = 450
lp.data = data
lp.joinedLines = 0
lp.lines[0].symbol = makeMarker('FilledCircle')
lp.lines[1].symbol = makeMarker('Circle')
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
# lp.xValueAxis.valueMin = 0
# lp.xValueAxis.valueMax = 5
# lp.xValueAxis.valueSteps = [1, 2, 2.5, 3, 4, 5]
lp.xValueAxis.labelTextFormat = '%2.1f'
# lp.yValueAxis.valueMin = 0
# lp.yValueAxis.valueMax = 7
# lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
return drawing
def _draw_scatter_plot(self, cur_drawing, x_start, y_start, x_end, y_end):
"""Draw a scatter plot on the drawing with the given coordinates."""
scatter_plot = LinePlot()
# set the dimensions of the scatter plot
scatter_plot.x = x_start
scatter_plot.y = y_start
scatter_plot.width = abs(x_start - x_end)
scatter_plot.height = abs(y_start - y_end)
scatter_plot.data = self.display_info
scatter_plot.joinedLines = 0
# set the axes of the plot
x_min, x_max, y_min, y_max = self._find_min_max(self.display_info)
scatter_plot.xValueAxis.valueMin = x_min
scatter_plot.xValueAxis.valueMax = x_max
scatter_plot.xValueAxis.valueStep = (x_max - x_min) / 10.0
scatter_plot.yValueAxis.valueMin = y_min
scatter_plot.yValueAxis.valueMax = y_max
scatter_plot.yValueAxis.valueStep = (y_max - y_min) / 10.0
self._set_colors_and_shapes(scatter_plot, self.display_info)
cur_drawing.add(scatter_plot)
def drawing_chinese():
from reportlab.graphics.charts.lineplots import LinePlot
from reportlab.graphics.charts.textlabels import Label
from reportlab.graphics import renderPDF
from reportlab.graphics.widgets.markers import makeMarker
data = [((1, 100), (2, 200), (3, 300), (4, 400), (5, 500)),
((1, 50), (2, 80), (3, 400), (4, 40), (5, 70))]
drawing = Drawing(500, 300)
lp = LinePlot()
lp.x = 50 #������������
lp.y = 30
lp.height = 250
lp.width = 400
lp.data = data
lp.joinedLines = 1
lp.lines.symbol = makeMarker('FilledCircle')
lp.xValueAxis.valueMin = 1
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueStep = 1
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 500
lp.yValueAxis.valueStep = 100
drawing.add(lp)
title = Label()
#����Ҫ��ʾ���ģ���Ҫ��ע��һ����������
title.fontName = "msyh"
title.fontSize = 12
title_text = u'你好吗'
#title_text = "abc"
title._text = title_text
title.x = 250
title.y = 280
title.textAnchor = 'middle'
drawing.add(title)
Xlabel = Label()
Xlabel._text = 'x'
Xlabel.fontSize = 12
Xlabel.x = 480
Xlabel.y = 30
Xlabel.textAnchor = 'middle'
drawing.add(Xlabel)
Ylabel = Label()
Ylabel._text = "y"
Ylabel.fontSize = 12
Ylabel.x = 40
Ylabel.y = 295
Ylabel.textAnchor = 'middle'
drawing.add(Ylabel)
try:
drawing.save(formats=['gif'], outDir=".", fnRoot="abc")
except:
import traceback
traceback.print_exc()
def add_linePlotChart(self, title, data, size=(PAGE_WIDTH-100, 300)):
__chart_width, __chart_heigh = size[0], size[1]
__draw = Drawing(__chart_width, __chart_heigh)
__draw.add(String(20, __chart_heigh-10, title, fontName="chsFont",fontSize=18, fillColor=colors.black))
#LinePlot基本属性
lp = LinePlot()
lp.x, lp.y = 25, 50
lp.width, lp.height = __chart_width-50, __chart_heigh-100
lp.data = data
lp.joinedLines = 1
#X轴配置
lp.xValueAxis.valueMin = min([x[0] for x in data[0]])
lp.xValueAxis.valueMax = max([x[0] for x in data[0]])
valueRange = lp.xValueAxis.valueMax - lp.xValueAxis.valueMin
lp.xValueAxis.valueStep = valueRange / 10.0
#Y轴配置
yValueMin = min([x[1] for x in data[0]])
yValueMax = max([x[1] for x in data[0]])
yValueRange = yValueMax - yValueMin
if (yValueMin-yValueRange/2) > 0:
lp.yValueAxis.valueMin = yValueMin - yValueRange/2
else:
lp.yValueAxis.valueMin = yValueMin
lp.yValueAxis.valueMax = yValueMax+ 0.01 + yValueRange/3 #+1避免当y轴最大值和最小值相等时valuseStep为0,导致绘图库计算y轴格数时出现除零错误
lp.yValueAxis.valueStep = (lp.yValueAxis.valueMax - lp.yValueAxis.valueMin)/10
lp.yValueAxis.visibleGrid = 1
lp.yValueAxis.gridStrokeWidth = 0.5
lp.yValueAxis.gridStrokeColor = colors.gray
__draw.add(lp)
self.__content.append(__draw)
def draw_recent_week_pdf(filename, data_list):
"""
画最近七天的流量计报表
:param filename:
:param data_list
:return:
"""
data = []
max_val = 0
for index in range(0, len(data_list)):
data.append((index + 1, data_list[index]))
max_val = max(max_val, data_list[index])
drawing = Drawing(500, 800)
lp = LinePlot()
lp.x = 50
lp.y = 80
lp.height = 600
lp.width = 400
lp.data = [data]
lp.joinedLines = 1
lp.lines.symbol = makeMarker('FilledCircle')
lp.xValueAxis.valueMin = 1
lp.xValueAxis.valueMax = 7
lp.xValueAxis.valueStep = 1
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = (int(max_val / 100) + 1) * 100
lp.yValueAxis.valueStep = 100
drawing.add(lp)
x_title = Label()
# 若需要显示中文，需要先注册一个中文字体
pdfmetrics.registerFont(ttfonts.TTFont("haha", "simsun.ttc"))
x_title.fontName = "haha"
x_title.fontSize = 12
title_text = '用气量'
x_title._text = title_text
x_title.x = 20
x_title.y = 100
x_title.textAnchor = 'middle'
drawing.add(x_title)
y_title = Label()
# 若需要显示中文，需要先注册一个中文字体
pdfmetrics.registerFont(ttfonts.TTFont("haha", "simsun.ttc"))
y_title.fontName = "haha"
y_title.fontSize = 12
title_text = '最近七天'
y_title._text = title_text
y_title.x = 80
y_title.y = 50
y_title.textAnchor = 'middle'
drawing.add(y_title)
drawing.save(formats=['pdf'],
outDir=TMP_FILE_DIRECTORY_PATH,
fnRoot=filename)
def drawline(self,width,height,*args):
drawing=Drawing(width,height)
ab=LinePlot()
ab.x=180
ab.y=0
ab.height=200
ab.width=420
ab.xValueAxis._valueMin = 0
ab.yValueAxis._valueMin=0
ab.joinedLines=1
ab.data=[args]
ab.lines[0].strokeColor=colors.red
drawing.add(ab)
return drawing
def addElectricPrice(canvas_param, pos_x, pos_y, width, height):
# 电价数据
data = electricityPriceData
# 定义各曲线标签
# data_name = ['一般工商业电价（1-10千伏）', '大工业电价（1-10千伏）', '一般工商业电价（35-110千伏）', '大工业电价（35-110千伏）']
data_name = ['一般工商业电价（35-110千伏）']
c = canvas_param
# c.setFont("song", 10)
drawing = Drawing(width=width, height=height)
lp = LinePlot()
# lp.x = 50
# lp.y = 50
lp.height = height
lp.width = width
lp.data = data
lp.joinedLines = 1
# 定义各曲线颜色
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.darkgreen
lp.lines[3].strokeColor = colors.black
for i in range(0, len(data)):
lp.lines[i].name = data_name[i]
# lp.lines[i].symbol = makeMarker('FilledCircle', size=0.5)
lp.lines[i].strokeWidth = 1
# lp.lineLabelFormat = '%2.0f'
# lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 24
lp.xValueAxis.valueSteps = [n for n in range(0, 24, 1)]
lp.xValueAxis.labelTextFormat = lambda x: str(x)
lp.yValueAxis.valueMin = 0
# lp.yValueAxis.valueMax = 50
# lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
add_legend(draw_obj=drawing, chart=lp, pos_x=10, pos_y=-10)
# 将画布添加到pdf中
renderPDF.draw(drawing=drawing, canvas=c, x=pos_x, y=pos_y)
return c
def drawrelationshipcs(can, resultsbuffer):
can.setFont("Helvetica", 24)
sec_title = "System Heat Balance"
can.drawString(25, 750, sec_title)
desc_text = "The following figure shows the relationship between the chilled water" \
" system operating efficiency and the cooling load. As the figure shows, with " \
"the Cooling load ranges between 800 RT to 1100 RT, the efficiency hovers between " \
"0.75/RT to 0.91KW/RT."
stylesheet = getSampleStyleSheet()
paragraph = Paragraph(desc_text, stylesheet['Normal'])
aW, aH = 500, 600
w, h = paragraph.wrap(aW, aH)
if w <= aW and h <= aH:
paragraph.drawOn(can, 25, 700)
drawing = Drawing(600, 400)
data = [((801, 0.7), (903, 0.8), (799, 0.84), (1002, 0.97), (1101, 0.89)),
((987, 0.98), (1007, 1.1), (1102, 0.98), (987, 0.95), (908, 0.89))]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 250
lp.width = 400
lp.data = data
lp.joinedLines = 0
lp.lines.symbol = makeMarker('FilledCircle')
# lp.lines.symbol = makeMarker('Circle')
# lp.lines[1].symbol = makeMarker('Circle')
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 1200
lp.xValueAxis.valueSteps = [
0.00, 200.00, 400.00, 600.00, 800.00, 1000.00, 1200.00
]
lp.xValueAxis.labelTextFormat = '%2.1f'
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 1.2
lp.yValueAxis.valueSteps = [
0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2
]
drawing.add(lp)
drawing.drawOn(can, 50, 350)
can.showPage()
def test_23_linePlotCharts(self):
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib import colors
from reportlab.lib.units import inch
from reportlab.platypus import SimpleDocTemplate, Spacer, Paragraph
from reportlab.pdfbase import pdfmetrics
from reportlab.graphics.shapes import Drawing
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.graphics.charts.lineplots import LinePlot
from reportlab.graphics.widgets.markers import makeMarker
pdfmetrics.registerFont(TTFont('chsFont', 'STHeiti Light.ttc'))
stylesheet = getSampleStyleSheet()
elements = []
doc = SimpleDocTemplate("demo.pdf")
elements.append(
Paragraph('<font name="chsFont">JY.zenist.song - 俊毅</font>',
stylesheet['Title']))
elements.append(Spacer(1, 1 * inch))
d = Drawing(400, 200)
data = [
[(1, 1), (2, 2), (2.5, 1), (3, 3), (4, 5)],
]
lp = LinePlot()
lp.x = 5
lp.y = 5
lp.height = 190
lp.width = 390
lp.data = data
lp.joinedLines = 1
lp.lines[0].symbol = makeMarker('FilledCircle')
d.add(lp)
elements.append(d)
doc.build(elements)
def line_plot(data, elements):
drawing = Drawing(0, 400) # for indices
lp = LinePlot()
lp.x = 0
lp.y = 50
lp.height = 300
lp.width = 600
lp.data = data
lp.joinedLines = 1
lp.lines[0].symbol = makeMarker('FilledCircle')
lp.lines[1].symbol = makeMarker('Circle')
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueSteps = [1, 2, 2.5, 3, 4, 5]
lp.xValueAxis.labelTextFormat = '%2.1f'
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 7
lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
elements.append(drawing)
def genLinePlot(objLogFileReader, columnName):
"""生成单个测试场景Log数据的指定数值列的折线图"""
plotWidth, plotHeight = 500, 180
d = Drawing(plotWidth, plotHeight)
title = columnName
d.add(
String(0, plotHeight - 10, title, fontSize=12, fillColor=colors.black))
data = objLogFileReader.getLinePlotData(columnName)
lp = LinePlot()
lp.x, lp.y = 50, 25
lp.width, lp.height = plotWidth - 50, plotHeight - 50
lp.data = data
lp.joinedLines = 1
lp.lines[0].strokeColor = colors.blue
lp.lines[0].strokeWidth = 1
#设置图表x轴的标尺步长、数据标签文本格式等属性
lp.xValueAxis.valueMin = min([x[0] for x in data[0]])
lp.xValueAxis.valueMax = max([x[0] for x in data[0]])
xValueRange = lp.xValueAxis.valueMax - lp.xValueAxis.valueMin
lp.xValueAxis.valueStep = xValueRange / 10.0
lp.xValueAxis.labelTextFormat = myUtil.seconds2Str
#设置图表y轴的标尺步长、数据标签文本格式等属性
yValueMin = min([x[1] for x in data[0]])
yValueMax = max([x[1] for x in data[0]])
yValueRange = yValueMax - yValueMin
if (yValueMin - yValueRange / 2) > 0:
lp.yValueAxis.valueMin = yValueMin - yValueRange / 2
else:
lp.yValueAxis.valueMin = yValueMin
lp.yValueAxis.valueMax = yValueMax + 0.01 + yValueRange / 3 #+1避免当y轴最大值和最小值相等时valuseStep为0,导致绘图库计算y轴格数时出现除零错误
lp.yValueAxis.valueStep = (lp.yValueAxis.valueMax -
lp.yValueAxis.valueMin) / 10
lp.yValueAxis.labelTextFormat = '%.2f'
lp.yValueAxis.visibleGrid = 1
lp.yValueAxis.gridStrokeWidth = 0.5
lp.yValueAxis.gridStrokeColor = colors.gray
d.add(lp)
return d
def add_linePlotChart(self, title, data, size=(PAGE_WIDTH - 100, 300)):
__chart_width, __chart_heigh = size[0], size[1]
__draw = Drawing(__chart_width, __chart_heigh)
__draw.add(
String(20,
__chart_heigh - 10,
title,
fontName="chsFont",
fontSize=18,
fillColor=colors.black))
#LinePlot基本属性
lp = LinePlot()
lp.x, lp.y = 25, 50
lp.width, lp.height = __chart_width - 50, __chart_heigh - 100
lp.data = data
lp.joinedLines = 1
#X轴配置
lp.xValueAxis.valueMin = min([x[0] for x in data[0]])
lp.xValueAxis.valueMax = max([x[0] for x in data[0]])
valueRange = lp.xValueAxis.valueMax - lp.xValueAxis.valueMin
lp.xValueAxis.valueStep = valueRange / 10.0
#Y轴配置
yValueMin = min([x[1] for x in data[0]])
yValueMax = max([x[1] for x in data[0]])
yValueRange = yValueMax - yValueMin
if (yValueMin - yValueRange / 2) > 0:
lp.yValueAxis.valueMin = yValueMin - yValueRange / 2
else:
lp.yValueAxis.valueMin = yValueMin
lp.yValueAxis.valueMax = yValueMax + 0.01 + yValueRange / 3 #+1避免当y轴最大值和最小值相等时valuseStep为0,导致绘图库计算y轴格数时出现除零错误
lp.yValueAxis.valueStep = (lp.yValueAxis.valueMax -
lp.yValueAxis.valueMin) / 10
lp.yValueAxis.visibleGrid = 1
lp.yValueAxis.gridStrokeWidth = 0.5
lp.yValueAxis.gridStrokeColor = colors.gray
__draw.add(lp)
self.__content.append(__draw)
def test_23_linePlotCharts(self):
from reportlab.lib.styles import getSampleStyleSheet
from reportlab.lib import colors
from reportlab.lib.units import inch
from reportlab.platypus import SimpleDocTemplate, Spacer, Paragraph
from reportlab.pdfbase import pdfmetrics
from reportlab.graphics.shapes import Drawing
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.graphics.charts.lineplots import LinePlot
from reportlab.graphics.widgets.markers import makeMarker
pdfmetrics.registerFont(TTFont('chsFont', 'STHeiti Light.ttc'))
stylesheet = getSampleStyleSheet()
elements = []
doc = SimpleDocTemplate("demo.pdf")
elements.append(Paragraph('<font name="chsFont">JY.zenist.song - 俊毅</font>', stylesheet['Title']))
elements.append(Spacer(1,1*inch))
d = Drawing(400,200)
data = [
[(1,1), (2,2), (2.5,1), (3,3), (4,5)],
]
lp = LinePlot()
lp.x = 5
lp.y = 5
lp.height = 190
lp.width = 390
lp.data = data
lp.joinedLines = 1
lp.lines[0].symbol = makeMarker('FilledCircle')
d.add(lp)
elements.append(d)
doc.build(elements)
def genLinePlot(objLogFileReader,columnName):
"""生成单个测试场景Log数据的指定数值列的折线图"""
plotWidth,plotHeight = 500,180
d = Drawing(plotWidth,plotHeight)
title = columnName
d.add(String(0,plotHeight-10,title,fontSize=12,fillColor=colors.black))
data = objLogFileReader.getLinePlotData(columnName)
lp = LinePlot()
lp.x,lp.y = 50,25
lp.width,lp.height = plotWidth-50,plotHeight-50
lp.data = data
lp.joinedLines = 1
lp.lines[0].strokeColor = colors.blue
lp.lines[0].strokeWidth = 1
#设置图表x轴的标尺步长、数据标签文本格式等属性
lp.xValueAxis.valueMin = min([x[0] for x in data[0]])
lp.xValueAxis.valueMax = max([x[0] for x in data[0]])
xValueRange = lp.xValueAxis.valueMax - lp.xValueAxis.valueMin
lp.xValueAxis.valueStep = xValueRange/10.0
lp.xValueAxis.labelTextFormat = myUtil.seconds2Str
#设置图表y轴的标尺步长、数据标签文本格式等属性
yValueMin = min([x[1] for x in data[0]])
yValueMax = max([x[1] for x in data[0]])
yValueRange = yValueMax - yValueMin
if (yValueMin-yValueRange/2) > 0:
lp.yValueAxis.valueMin = yValueMin - yValueRange/2
else:
lp.yValueAxis.valueMin = yValueMin
lp.yValueAxis.valueMax = yValueMax+ 0.01 + yValueRange/3 #+1避免当y轴最大值和最小值相等时valuseStep为0,导致绘图库计算y轴格数时出现除零错误
lp.yValueAxis.valueStep = (lp.yValueAxis.valueMax - lp.yValueAxis.valueMin)/10
lp.yValueAxis.labelTextFormat = '%.2f'
lp.yValueAxis.visibleGrid = 1
lp.yValueAxis.gridStrokeWidth = 0.5
lp.yValueAxis.gridStrokeColor = colors.gray
d.add(lp)
return d
from reportlab.graphics.widgets.markers import makeMarker
drawing = Drawing(400, 200)
data = [
((1,1), (2,2), (2.5,1), (3,3), (4,5)),
((1,2), (2,3), (2.5,2), (3.5,5), (4,6))
]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = data
lp.joinedLines = 1
lp.lines[0].symbol = makeMarker('FilledCircle')
lp.lines[1].symbol = makeMarker('Circle')
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueSteps = [1, 2, 2.5, 3, 4, 5]
lp.xValueAxis.labelTextFormat = '%2.1f'
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 7
lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
draw(drawing, 'LinePlot sample')
def addAcTemp(canvas_param, opc_df_today,pos_x, pos_y, width, height):
total_df = opc_df_today
# 取出
# “室外天气”、
# “冷却侧供水温度”、
# “冷却侧回水温度”、
# “冷冻侧供水温度”、
# “冷冻侧回水温度”
total_df_OAT = total_df[total_df.browse_name == 'OA-T']
total_df_CSSWT = total_df[total_df.browse_name == 'CS-SWT']
total_df_CSRWT = total_df[total_df.browse_name == 'CS-RWT']
total_df_FSSWT = total_df[total_df.browse_name == 'FS-SWT']
total_df_FSRWT = total_df[total_df.browse_name == 'FS-RWT']
# 生成5个变量相应的点阵
data_OAT = ExtractPointFromDf_DateX(df_origin=total_df_OAT, date_col='present_value_source_timestamp',
y_col='present_value_value')
data_CSSWT = ExtractPointFromDf_DateX(df_origin=total_df_CSSWT, date_col='present_value_source_timestamp',
y_col='present_value_value')
data_CSRWT = ExtractPointFromDf_DateX(df_origin=total_df_CSRWT, date_col='present_value_source_timestamp',
y_col='present_value_value')
data_FSSWT = ExtractPointFromDf_DateX(df_origin=total_df_FSSWT, date_col='present_value_source_timestamp',
y_col='present_value_value')
data_FSRWT = ExtractPointFromDf_DateX(df_origin=total_df_FSRWT, date_col='present_value_source_timestamp',
y_col='present_value_value')
data_origin = [tuple(data_OAT), tuple(data_CSSWT), tuple(data_CSRWT), tuple(data_FSSWT), tuple(data_FSRWT)]
# 定义各曲线标签
data_name_origin = ['室外温度', '冷却侧供水温度', '冷却侧回水温度', '冷冻侧供水温度', '冷冻侧回水温度']
# 处理某条线没有数据的情况，若不处理“没有数据”的情况，画线的时候会报错！
data = []
data_name = []
for i in range(0, len(data_origin)):
if len(data_origin[i]) != 0:
data.append(data_origin[i])
data_name.append(data_name_origin[i])
if len(data) == 0:
print('函数 addAcTemp：原始df解析后没有想要的温度数据！')
return canvas_param
c = canvas_param
# c.setFont("song", 10)
drawing = Drawing(width=width, height=height)
lp = LinePlot()
# lp.x = 50
# lp.y = 50
lp.height = height
lp.width = width
lp.data = data
lp.joinedLines = 1
# 定义各曲线颜色
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.lightgreen
lp.lines[3].strokeColor = colors.orange
lp.lines[4].strokeColor = colors.darkgreen
for i in range(0, len(data)):
lp.lines[i].name = data_name[i]
lp.lines[i].symbol = makeMarker('FilledCircle', size=0.5)
lp.lines[i].strokeWidth = 0.2
# lp.lineLabelFormat = '%2.0f'
# lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 60*60*24
lp.xValueAxis.valueSteps = [n for n in range(0, 60*60*24, 60*60)]
lp.xValueAxis.labelTextFormat = lambda x: str(s2t(x))[0:2]
lp.yValueAxis.valueMin = 0
# lp.yValueAxis.valueMax = 50
# lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
add_legend(draw_obj=drawing, chart=lp, pos_x=10, pos_y=-10)
renderPDF.draw(drawing=drawing, canvas=c, x=pos_x, y=pos_y)
def run(self):
def weight_sort(a, b):
return cmp(a.getWeight(), b.getWeight())
drawing = Drawing(600, 300)
lc = LinePlot()
# Determine axis dimensions and create data set
maxval = 0
minval = 0
dimension_one_values = []
dimension_two_values = []
dimension_one_answeroptions_as_objects = []
dimension_two_answeroptions_as_objects = []
counter = 0
for question in self.getQuestions():
weights = [int(weight) for weight in question.getAnswerOptionsWeights()]
answeroptions = list(question.getAnswerOptions())
# This is used by the legend. Sort on weight.
if counter == 0:
dimension_one_answeroptions_as_objects = question.getAnswerOptionsAsObjects()
dimension_one_answeroptions_as_objects.sort(weight_sort)
else:
dimension_two_answeroptions_as_objects = question.getAnswerOptionsAsObjects()
dimension_two_answeroptions_as_objects.sort(weight_sort)
# Minmax
lmin = min(weights)
lmax = max(weights)
if lmin < minval:
minval = lmin
if lmax > maxval:
maxval = lmax
# Data
for user, answer in question.answers.items():
value = answer.get('value', None)
weight = None
if value is not None:
# Lookup the integer weight of this answer
if value in answeroptions:
index = answeroptions.index(value)
weight = weights[index]
# Always add to the list. ReportLab deals with None.
if counter == 0:
dimension_one_values.append(weight)
else:
dimension_two_values.append(weight)
counter += 1
# Set minmax
absmax = max(abs(minval), abs(maxval)) * 1.1
lc.xValueAxis.valueMin = -absmax
lc.xValueAxis.valueMax = absmax
lc.yValueAxis.valueMin = -absmax
lc.yValueAxis.valueMax = absmax
# Zip to create data
data = [zip(dimension_one_values, dimension_two_values)]
if not len(data[0]):
return
lc.x = 0
lc.y = 0
# Misc setup
lc.height = 300
lc.width = 300
lc.data = data
lc.joinedLines = 0
lc.fillColor = None
lc.lines[0].strokeColor = colors.red
lc.lines[0].symbol = makeMarker('FilledCircle')
# Add a grid
grid = DoubleGrid()
lc.background = grid
setupGrid(lc)
lc.background = None
# Finetune the grid
grid.grid0.strokeWidth = 0.2
grid.grid1.strokeWidth = 0.2
# Add to drawing else it overwrites the center Y axis
drawing.add(grid)
# Add a Y axis to pass through the origin
yaxis = YValueAxis()
yaxis.setPosition(lc.width/2, 0, lc.height)
yaxis.configure([(0,-absmax),(0,absmax)])
yaxis.strokeColor = colors.blue
drawing.add(yaxis)
# Color X-Axis
lc.xValueAxis.strokeColor = colors.green
drawing.add(lc)
# Legend for Dimension One
drawing.add(String(lc.width+20, lc.height-12, 'Dimension One (X-Axis):',
fontName='Helvetica', fontSize=12, fillColor=colors.green))
legend = Legend()
legend.alignment = 'right'
legend.x = lc.width + 20
legend.y = lc.height - 20
legend.fontName = 'Helvetica'
legend.fontSize = 12
legend.columnMaximum = 7
items = []
for ob in dimension_one_answeroptions_as_objects:
items.append( ( StringWidget(ob.getWeight()), ob() ) )
legend.colorNamePairs = items
drawing.add(legend, 'legend1')
# Legend for Dimension Two
drawing.add(String(lc.width+20, lc.height/2-12, 'Dimension Two (Y-Axis):',
fontName='Helvetica', fontSize=12, fillColor=colors.blue))
legend = Legend()
legend.alignment = 'right'
legend.x = lc.width + 20
legend.y = lc.height/2 - 20
legend.fontName = 'Helvetica'
legend.fontSize = 12
legend.columnMaximum = 7
items = []
for ob in dimension_two_answeroptions_as_objects:
items.append( ( StringWidget(ob.getWeight()), ob() ) )
legend.colorNamePairs = items
drawing.add(legend, 'legend2')
# Write out
data = drawing.asString('png')
request = self.REQUEST
response = request.RESPONSE
response.setHeader('Content-Type', 'image/png')
response.setHeader('Content-Disposition','inline; filename=%s.png' % self.getId())
response.setHeader('Content-Length', len(data))
response.setHeader('Cache-Control', 's-maxage=0')
return data
def generate_certificate(elements):
styles = ParagraphStyle(
name='Normal',
fontName='Helvetica-Bold',
fontSize=15,
alignment=1,
)
elements.append(Spacer(1, 0.5 * inch))
i = Paragraph(str("candidate performance vs average performance"), styles)
elements.append(i)
elements.append(Spacer(1, 0.1 * inch))
drawing = Drawing(0, 200) # for indices
data = [
(13, 5, 20, 22, 37, 45, 19, 4),
(14, 6, 21, 23, 38, 46, 20, 5)
] # data for drawing bar graphs
bc = VerticalBarChart()
bc.x = 0 # x,y define the left bottom of graph
bc.y = 0
bc.height = 150
bc.width = 300
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 50
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 6 # next 3 lines is for naming indices
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 60
bc.categoryAxis.categoryNames = ['Jan-99', 'Feb-99', 'Mar-99',
'Apr-99', 'May-99', 'Jun-99', 'Jul-99', 'Aug-99']
drawing.add(bc)
elements.append(drawing)
elements.append(Spacer(1, 0.5 * inch))
drawing = Drawing(0, 175) # for indices
lc = HorizontalLineChart()
lc.x = 0
lc.y = 10
lc.height = 150
lc.width = 300
lc.data = data
lc.joinedLines = 1
catnames = 'Jan Feb Mar Apr May Jun Jul Aug'.split(' ')
lc.categoryAxis.categoryNames = catnames
lc.categoryAxis.labels.boxAnchor = 'n'
lc.valueAxis.valueMin = 0
lc.valueAxis.valueMax = 60
lc.valueAxis.valueStep = 15
lc.lines[0].strokeWidth = 2
lc.lines[1].strokeWidth = 1.5
drawing.add(lc)
elements.append(drawing)
drawing = Drawing(0, 400) # for indices
data = [
((1, 1), (2, 2), (2.5, 1), (3, 3), (4, 5)),
((1, 2), (2, 3), (2.5, 2), (3.5, 5), (4, 6))
]
elements.append(Spacer(1, 0.1 * inch))
i = Paragraph(str("candidate performance vs average performance"), styles)
elements.append(i)
elements.append(Spacer(1, 0.1 * inch))
lp = LinePlot()
lp.x = 0
lp.y = 50
lp.height = 300
lp.width = 600
lp.data = data
lp.joinedLines = 1
lp.lines[0].symbol = makeMarker('FilledCircle')
lp.lines[1].symbol = makeMarker('Circle')
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueSteps = [1, 2, 2.5, 3, 4, 5]
lp.xValueAxis.labelTextFormat = '%2.1f'
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 7
lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
elements.append(drawing)
elements.append(Spacer(1, 0.1 * inch))
drawing = Drawing(100, 350)
pc = Pie()
pc.x = 65
pc.y = 15
pc.width = 300
pc.height = 300
pc.data = [10, 20, 30, 40, 50, 60]
pc.labels = ['a', 'b', 'c', 'd', 'e', 'f']
pc.slices.strokeWidth = 0.5
pc.slices[3].popout = 10
pc.slices[3].strokeWidth = 2
pc.slices[3].strokeDashArray = [2, 2]
pc.slices[3].labelRadius = 1.75
pc.slices[3].fontColor = colors.red
drawing.add(pc)
elements.append(drawing)
elements.append(Spacer(1, 0.7 * inch))
styles = ParagraphStyle(
name='Normal',
fontName='Helvetica',
fontSize=15,
alignment=0,
)
elements.append(Spacer(1, 0.5* inch))
i = Paragraph(str("Please click on black square to play the video."), styles)
elements.append(i)
elements.append(platypus.flowables.Macro('canvas.saveState()'))
elements.append(platypus.flowables.Macro('canvas.linkURL("fun.mp4",(400,510,410,500),relative=0,thickness=10)'))
elements.append(platypus.flowables.Macro('canvas.restoreState()'))
return elements
def getPlot():
drawing = Drawing(400, 200)
#temps = [((0.5,7), (1.5,1), (2.5,2), (3.5,1), (4.5,3), (5.5,5), (6.5, 10), (7.5,6))]
temps = [getTemps()]
bc = LinePlot()
bc.x = 50
bc.y = 50
bc.height = 125
bc.width = 300
bc.data = temps
#labels
yilabel = Label()
yilabel.setText("Temperatura (°C)")
yilabel.angle = 90
yilabel.setOrigin(20,120)
xlabel = Label()
xlabel.setText("Días")
xlabel.setOrigin(200,20)
labelT = Label()
labelT.setText("Temperatura")
labelT.setOrigin(210,185)
labelH = Label()
labelH.setText("Humedad")
labelH.setOrigin(285,185)
bc.xValueAxis.valueMin = 0
bc.xValueAxis.valueMax = 20
bc.xValueAxis.valueSteps = [x for x in range(1,bc.xValueAxis.valueMax)]
#bc.xValueAxis.labelTextFormat = '%2.1f'
bc.yValueAxis.valueMin = 0
bc.yValueAxis.valueMax = 60
bc.yValueAxis.valueSteps = [0, 10, 20, 30, 40, 50, 60]
drawing.add(bc)
drawing.add(yilabel)
drawing.add(xlabel)
drawing.add(Line(170,185,185,185, strokeColor=colors.red))
drawing.add(Line(250,185,265,185, strokeColor=colors.blue))
drawing.add(labelT)
drawing.add(labelH)
#humedad=[[(0.5, 4), (1.5, 3), (2.5, 4), (3.5, 6), (4.5, 4), (5.5, 2), (6.5, 5), (7.5, 6)]]
humedad = [getHumedad()]
lp = LinePlot()
lp.x = bc.x
lp.y = bc.y
lp.height = bc.height
lp.width = bc.width
lp.data = humedad
ydlabel = Label()
ydlabel.setText("Humedad (%)")
ydlabel.angle = -90
ydlabel.setOrigin(lp.x+lp.width+30,lp.y+70)
lp.joinedLines = 1
lp.lines[0].symbol = makeMarker('Circle')
lp.lines[0].strokeColor=colors.blue
lp.lineLabelFormat = '%2.0f'
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = bc.xValueAxis.valueMax
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 100
lp.xValueAxis.visible=False
lp.yValueAxis.visible=False #Hide 2nd plot its Yaxis
drawing.add(lp)
drawing.add(ydlabel)
y2Axis = YValueAxis()#Replicate 2nd plot Yaxis in the right
y2Axis.setProperties(lp.yValueAxis.getProperties())
y2Axis.setPosition(lp.x+lp.width,lp.y,lp.height)
y2Axis.tickRight=5
y2Axis.tickLeft=0
y2Axis.labels.dx = 20
y2Axis.configure(humedad)
y2Axis.visible=True
drawing.add(y2Axis)
return drawing
def generatedReport(self, df, dirReport):
#Valores de cajas de texto
nom_empre = self.line_nom_empre.text()
codigo_text = self.line_cod.text()
#Image
#pdfmetrics.registerFont(TTFont('chsFont', 'STHeiti Light.ttc'))
stylesheet = getSampleStyleSheet()
elements = []
try:
base_path = sys._MEIPASS
except Exception:
base_path = os.path.abspath(".")
fecha = str(datetime.today().strftime('%Y-%m-%d'))
address = "Reporte_" + fecha + "_.pdf"
path = os.path.join(dirReport, address)
path2 = os.path.join(base_path, "cap.jpeg")
doc = SimpleDocTemplate(path)
#Imagen
elements.append(Image(path2, width=1 * inch, height=1 * inch))
#Titulo
elements.append(
Paragraph('<font >REPORTE DE TEMPERATURA</font>',
stylesheet['Title']))
#Descripcion
elements.append(
Paragraph('<font >DATOS GENERALES</font>', stylesheet['BodyText']))
elements.append(
Paragraph(
'<font >Empresa: ' + nom_empre +
'</font> <font > Código: ' + codigo_text + '</font>',
stylesheet['BodyText']))
elements.append(
Paragraph('<font >Fecha: ' + fecha + '</font>',
stylesheet['BodyText']))
elements.append(Paragraph('<font ></font>', stylesheet['BodyText']))
#Descripcion Ejes
elements.append(
Paragraph('<font >DESCRIPCIÓN GRÁFICO</font>',
stylesheet['BodyText']))
elements.append(
Paragraph(
'<font > Eje Y = Grados Centigrados / Eje X = Tiempo Minutos</font>',
stylesheet['BodyText']))
elements.append(
Paragraph(
'<font color=blue> -- Sensor #1 --</font> <font color=yellow>-- Sensor #2 --</font> <font color=red>-- Sensor #3 --</font> <font color=green>-- Sensor #4 --</font> <font color=brown>-- Promedio --</font>',
stylesheet['BodyText']))
elements.append(Spacer(1, 1 * inch))
#Datos para el Gráfico
lista_temp1 = []
lista_temp2 = []
lista_temp3 = []
lista_temp4 = []
lista_total = []
promedio_ = []
data_table = []
cabecera = []
cabecera.append('No')
cabecera.append('Fecha')
cabecera.append('Hora')
cabecera.append('Temp 1')
cabecera.append('Temp 2')
cabecera.append('Temp 3')
cabecera.append('Temp 4')
cabecera.append('Tiempo / Minutos')
cabecera.append('Promedio')
data_table.append(cabecera)
const = df['Hora'][0]
format = '%H:%M:%S'
for index, row in df.iterrows():
diff = (datetime.strptime(str(row['Hora']), format) -
datetime.strptime(str(const), format)) / 60
total_minu = round(diff.total_seconds(), 1)
var_promedio = (row['Temp1'] + row['Temp2'] + row['Temp3'] +
row['Temp4']) / 4
round_promedio = round(var_promedio, 2)
c_1 = (total_minu, row['Temp1'])
c_2 = (total_minu, row['Temp2'])
c_3 = (total_minu, row['Temp3'])
c_4 = (total_minu, row['Temp4'])
c_5 = (total_minu, round_promedio)
lista_temp1.append(c_1)
lista_temp2.append(c_2)
lista_temp3.append(c_3)
lista_temp4.append(c_4)
promedio_.append(c_5)
array_aux = []
array_aux.append(row['n'])
array_aux.append(row['Fecha'])
array_aux.append(row['Hora'])
array_aux.append(row['Temp1'])
array_aux.append(row['Temp2'])
array_aux.append(row['Temp3'])
array_aux.append(row['Temp4'])
array_aux.append(total_minu)
array_aux.append(round_promedio)
data_table.append(array_aux)
lista_total.append(lista_temp1)
lista_total.append(lista_temp2)
lista_total.append(lista_temp3)
lista_total.append(lista_temp4)
lista_total.append(promedio_)
elements.append(Spacer(1, 1 * inch))
elements.append(Spacer(1, 1 * inch))
drawing = Drawing(400, 200)
lp = LinePlot()
lp.x = 100
lp.y = 100
lp.height = 300
lp.width = 300
lp.data = lista_total
lp.joinedLines = 1
#lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 100
lp.xValueAxis.valueStep = 10
#lp.xValueAxis.valueSteps =listHora_aux
lp.xValueAxis.labelTextFormat = '%2.1f'
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 180
lp.yValueAxis.valueStep = 5
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.yellow
lp.lines[2].strokeColor = colors.red
lp.lines[3].strokeColor = colors.green
lp.lines[4].strokeColor = colors.brown
drawing.add(lp)
elements.append(drawing)
#Tabla
elements.append(
Paragraph('<font >DESCRIPCIÓN TABLA</font>',
stylesheet['BodyText']))
elements.append(Paragraph('<font ></font>', stylesheet['BodyText']))
style_table = TableStyle([
('BACKGROUND', (0, 0), (8, 0), colors.green),
('TEXTCOLOR', (0, 0), (-1, 0), colors.whitesmoke),
('ALIGN', (0, 0), (8, 1000000), 'CENTER'),
('FONTNAME', (0, 0), (-1, 0), 'Courier-Bold')
])
table = Table(data_table)
table.setStyle(style_table)
elements.append(table)
elements.append(Spacer(1, 1 * inch))
elements.append(Spacer(1, 1 * inch))
#Firma
#elements.append(Paragraph('<font >Hola</font>', stylesheet['Title']))
elements.append(Spacer(1, 1 * inch))
doc.build(elements)
msg = QMessageBox()
msg.setWindowTitle("Alerta")
msg.setText("Correcta Generación de Reporte !!!")
x = msg.exec_()
def addAcPower(canvas_param, opc_df_today, pos_x, pos_y, width, height):
total_df = opc_df_today
# 取出
# “离心机1号实时功率”、
# “离心机2号实时功率”、
# “螺杆机实时功率”
total_df_01P = total_df[total_df.browse_name ==
'Chilling_unit1_D1_CH-01-Load']
total_df_02P = total_df[total_df.browse_name ==
'Chilling_unit2_D2_CH-02-Load']
total_df_03P = total_df[total_df.browse_name ==
'Chilling_unit3_D3_CH-03-Load']
# 生成5个变量相应的点阵
data_01P = ExtractPointFromDf_DateX(
df_origin=total_df_01P,
date_col='present_value_source_timestamp',
y_col='present_value_value')
data_02P = ExtractPointFromDf_DateX(
df_origin=total_df_02P,
date_col='present_value_source_timestamp',
y_col='present_value_value')
data_03P = ExtractPointFromDf_DateX(
df_origin=total_df_03P,
date_col='present_value_source_timestamp',
y_col='present_value_value')
data_origin = [tuple(data_01P), tuple(data_02P), tuple(data_03P)]
# 定义各曲线标签
data_name_origin = ['离心机1号实时功率', '离心机2号实时功率', '螺杆机实时功率']
# 处理某条线没有数据的情况，若不处理“没有数据”的情况，画线的时候会报错！
data = []
data_name = []
for i in range(0, len(data_origin)):
if len(data_origin[i]) != 0:
data.append(data_origin[i])
data_name.append(data_name_origin[i])
if len(data) == 0:
print('函数 addAcTemp：原始df解析后没有想要的冷机功率数据！')
return canvas_param
c = canvas_param
# c.setFont("song", 10)
drawing = Drawing(width=width, height=height)
lp = LinePlot()
# lp.x = 50
# lp.y = 50
lp.height = height
lp.width = width
lp.data = data
lp.joinedLines = 1
# 定义各曲线颜色
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.lightgreen
lp.lines[3].strokeColor = colors.orange
lp.lines[4].strokeColor = colors.darkgreen
for i in range(0, len(data)):
lp.lines[i].name = data_name[i]
lp.lines[i].symbol = makeMarker('FilledCircle', size=0.5)
lp.lines[i].strokeWidth = 0.05
# lp.lineLabelFormat = '%2.0f'
# lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 60 * 60 * 24
lp.xValueAxis.valueSteps = [n for n in range(0, 60 * 60 * 24, 60 * 60)]
lp.xValueAxis.labelTextFormat = lambda x: str(s2t(x))[0:2]
lp.yValueAxis.valueMin = 0
# lp.yValueAxis.valueMax = 50
# lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
add_legend(draw_obj=drawing, chart=lp, pos_x=10, pos_y=-10)
# 将画布添加到pdf中
renderPDF.draw(drawing=drawing, canvas=c, x=pos_x, y=pos_y)
return c
from reportlab.graphics.charts.piecharts import Pie
from reportlab.graphics.charts.lineplots import LinePlot
from reportlab.graphics.widgets.markers import makeMarker
from reportlab.lib import colors
drawing = Drawing(400, 200)
data = [((1, 1), (2, 2), (2.5, 1), (3, 3), (4, 5)),
((1, 2), (2, 3), (2.5, 2), (3.5, 5), (4, 6))]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = data
lp.joinedLines = 1
lp.lines[0].symbol = makeMarker('FilledCircle')
lp.lines[1].symbol = makeMarker('Circle')
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueSteps = [1, 2, 2.5, 3, 4, 5]
lp.xValueAxis.labelTextFormat = '%2.1f'
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 7
lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
drawing.save(formats=['pdf'], outDir='./pdfs', fnRoot='chart')
# c = canvas.Canvas('./pdfs/chart_canvas.pdf')
# c.da
def createTimeSeries(self,ser):
if self.single_record:
return
# Time series are available for these quantities. The number indicates their position in the data string
series = {'h':0, 'g':1, 'i10':2, 'i100':6, 'tori':3, 'Read10':7}
# The time series plot will get added to the 'drawing' object
drawing = Drawing(400, 200)
# and it is of type 'LinePlot'
lp = LinePlot()
lp.x = 30
lp.y = 50
lp.height = 125
lp.width = 350
# Record the publication years, because these values will be used as x axis labels
years = sorted(map(lambda b: int(b), filter(lambda a: a.isdigit(), self.data['metrics series'].keys())))
lp.data = []
series_data = []
# The maximum value will be used to scale the y axis
max_value = 0
# This list will hold the data points for the histogram
for year in years:
values = map(lambda a: float(a),self.data['metrics series'][str(year)].split(':'))
max_value = max(max_value,values[series[ser]])
if ser == 'read10' and year > 1995:
series_data.append((year,values[series[ser]]))
else:
series_data.append((year,values[series[ser]]))
lp.data.append(series_data)
lp.joinedLines = 1
# Define the line color
lp.lines[0].strokeColor = colors.orange
# Actual data point will be marked by a filled circle
lp.lines.symbol = makeMarker('FilledCircle')
lp.strokeColor = colors.black
# The extreme values for the x axis
lp.xValueAxis.valueMin = years[0]
lp.xValueAxis.valueMax = years[-1]
# Proper label placement for years: shift by (-6, -6) in x and y to have labels positioned properly
lp.xValueAxis.labels.dx = -6
lp.xValueAxis.labels.dy = -18
# and rotate the labels by 90 degrees
lp.xValueAxis.labels.angle = 90
lp.xValueAxis.valueSteps = years
# For both axes values will be displayed as integers
lp.xValueAxis.labelTextFormat = '%2.0f'
lp.yValueAxis.labelTextFormat = '%2.0f'
# Define the maximum value of the y axis
lp.yValueAxis.valueMax = int(math.ceil(float(max_value)/10.0))*10
# Depending on the range of values, set a value step for the y axis
if max_value > 10000:
lp.yValueAxis.valueStep = 1000
elif max_value > 1000:
lp.yValueAxis.valueStep = 100
else:
lp.yValueAxis.valueStep = 10
# The y axis always starts at 0
lp.yValueAxis.valueMin = 0
# Now add the line plot to the 'drawing' object
drawing.add(lp)
# Finally add the appropriate title to the plot
drawing.add(String(200,190,"%s index time series" % ser, textAnchor="middle", fillColor='blue'))
# Append the result to the 'story'
self.story.append(drawing)
def generate_certificate(elements):
style = TableStyle([('TEXTALIGN', (0, 0), (-1, -1), 'CENTER'),
('TEXTCOLOR', (0, 0), (-1, -1), colors.red),
('VALIGN', (0, 0), (0, -1), 'TOP'),
('INNERGRID', (0, 0), (-1, -1), 0.50, colors.red),
('BOX', (0, 0), (-1, -1), 0.50, colors.green),
('BACKGROUND', (0, 0), (-1, -1), colors.blue),
])
s = getSampleStyleSheet()
s = s["BodyText"]
s.wordWrap = "RGB"
styles = ParagraphStyle(
name='Normal',
fontName='Helvetica-Bold',
fontSize=15,
alignment=1,
)
elements.append(Spacer(1, 0.5 * inch))
i = Paragraph(str("candidate performance vs average performance"), styles)
elements.append(i)
elements.append(Spacer(1, 0.1 * inch))
drawing = Drawing(0, 200) # for indices
data = [
(13, 5, 20, 22, 37, 45, 19, 4),
(14, 6, 21, 23, 38, 46, 20, 5)
] # data for drawing bar graphs
bc = VerticalBarChart()
bc.x = 0 # x,y define the left bottom of graph
bc.y = 0
bc.height = 150
bc.width = 300
bc.data = data
bc.strokeColor = colors.black
bc.valueAxis.valueMin = 0
bc.valueAxis.valueMax = 50
bc.valueAxis.valueStep = 10
bc.categoryAxis.labels.boxAnchor = 'ne'
bc.categoryAxis.labels.dx = 6 # next 3 lines is for naming indices
bc.categoryAxis.labels.dy = -2
bc.categoryAxis.labels.angle = 60
bc.categoryAxis.categoryNames = ['Jan-99', 'Feb-99', 'Mar-99',
'Apr-99', 'May-99', 'Jun-99', 'Jul-99', 'Aug-99']
drawing.add(bc)
elements.append(drawing)
elements.append(Spacer(1, 0.5 * inch))
drawing = Drawing(0, 175) # for indices
lc = HorizontalLineChart()
lc.x = 0
lc.y = 10
lc.height = 150
lc.width = 300
lc.data = data
lc.joinedLines = 1
catNames = 'Jan Feb Mar Apr May Jun Jul Aug'.split(' ')
lc.categoryAxis.categoryNames = catNames
lc.categoryAxis.labels.boxAnchor = 'n'
lc.valueAxis.valueMin = 0
lc.valueAxis.valueMax = 60
lc.valueAxis.valueStep = 15
lc.lines[0].strokeWidth = 2
lc.lines[1].strokeWidth = 1.5
drawing.add(lc)
elements.append(drawing)
drawing = Drawing(0, 400) # for indices
data = [
((1, 1), (2, 2), (2.5, 1), (3, 3), (4, 5)),
((1, 2), (2, 3), (2.5, 2), (3.5, 5), (4, 6))
]
elements.append(Spacer(1, 0.1 * inch))
i = Paragraph(str("candidate performance vs average performance"), styles)
elements.append(i)
elements.append(Spacer(1, 0.1 * inch))
lp = LinePlot()
lp.x = 0
lp.y = 50
lp.height = 300
lp.width = 600
lp.data = data
lp.joinedLines = 1
lp.lines[0].symbol = makeMarker('FilledCircle')
lp.lines[1].symbol = makeMarker('Circle')
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueSteps = [1, 2, 2.5, 3, 4, 5]
lp.xValueAxis.labelTextFormat = '%2.1f'
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 7
lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
elements.append(drawing)
elements.append(Spacer(1, 0.1 * inch))
drawing = Drawing(100, 350)
pc = Pie()
pc.x = 65
pc.y = 15
pc.width = 300
pc.height = 300
pc.data = [10, 20, 30, 40, 50, 60]
pc.labels = ['a', 'b', 'c', 'd', 'e', 'f']
pc.slices.strokeWidth = 0.5
pc.slices[3].popout = 10
pc.slices[3].strokeWidth = 2
pc.slices[3].strokeDashArray = [2, 2]
pc.slices[3].labelRadius = 1.75
pc.slices[3].fontColor = colors.red
drawing.add(pc)
elements.append(drawing)
elements.append(Spacer(1, 0.5 * inch))
return elements
def genLPDrawing(data, data_note, width=letter[0]*0.8, height=letter[1]*0.25, timeAxis='day', y_min_zero=False):
"""
函数功能：生成Drawing之用
:return:
"""
drawing = Drawing(width=width, height=height)
lp = LinePlot()
# lp.x = 50
# lp.y = 50
lp.height = height
lp.width = width
lp.data = data
lp.joinedLines = 1
# 定义颜色集
barFillColors = [
colors.red, colors.green, colors.blue, colors.darkgoldenrod,
colors.pink, colors.purple, colors.lightgreen, colors.darkblue, colors.lightyellow,
colors.fidred, colors.greenyellow, colors.gray, colors.white,colors.blueviolet, colors.lightgoldenrodyellow]
for i in range(0, len(data)):
lp.lines[i].name = data_note[i]
lp.lines[i].symbol = makeMarker('FilledCircle', size=0.5)
lp.lines[i].strokeWidth = 0.2
lp.lines[i].strokeColor = barFillColors[i]
# lp.lineLabelFormat = '%2.0f'
# lp.strokeColor = colors.black
x_min = data[0][0][0]
x_max = data[0][-1][0]
lp.xValueAxis.valueMin = x_min
lp.xValueAxis.valueMax = x_max
if timeAxis=='day':
step = int(((x_max - x_min) / (60 * 60 * 24)) / 30) + 1
lp.xValueAxis.valueSteps = [n for n in range(int(x_min), int(x_max), 60 * 60 * 24 * step)]
lp.xValueAxis.labelTextFormat = lambda x: str(Sec2Datetime(x)[0:10])
lp.xValueAxis.labels.angle = 90
lp.xValueAxis.labels.fontSize = 6
lp.xValueAxis.labels.dy = -18
if y_min_zero:
lp.yValueAxis.valueMin = 0
# lp.yValueAxis.valueMax = 50
# lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
elif timeAxis=='quarter':
step = int(((x_max - x_min)/0.25) / 30) + 1
lp.xValueAxis.valueSteps = [n for n in range(int(x_min), int(x_max), int(math.ceil(0.25 * step)))]
lp.xValueAxis.labelTextFormat = lambda x: convertValue2Quarter(x)
lp.xValueAxis.labels.angle = 90
lp.xValueAxis.labels.fontSize = 6
lp.xValueAxis.labels.dy = -18
if y_min_zero:
lp.yValueAxis.valueMin = 0
elif timeAxis=='year':
lp.xValueAxis.valueSteps = [n for n in range(int(x_min), int(x_max), 1)]
lp.xValueAxis.labelTextFormat = lambda x: str(x)
lp.xValueAxis.labels.angle = 90
lp.xValueAxis.labels.fontSize = 6
lp.xValueAxis.labels.dy = -18
if y_min_zero:
lp.yValueAxis.valueMin = 0
elif timeAxis=='month':
lp.xValueAxis.valueSteps = list(map(lambda x:x[0],data[0]))
lp.xValueAxis.labelTextFormat = lambda x: str(Sec2Datetime(x))[0:7]
lp.xValueAxis.labels.angle = 90
lp.xValueAxis.labels.fontSize = 6
lp.xValueAxis.labels.dy = -18
if y_min_zero:
lp.yValueAxis.valueMin = 0
drawing.add(lp)
add_legend(draw_obj=drawing, chart=lp, pos_x=10, pos_y=-20)
return drawing
def chart(distance, altitude, angle, next_point, qn):
data1 = []
data2 = []
data3 = []
alt_min = alt_max = alt_min_all = alt_max_all = altitude[0]
for i in range(len(distance)):
data1.append((distance[i], altitude[i]))
if distance[i] <= next_point:
if alt_min > altitude[i]:
alt_min = altitude[i]
if alt_max < altitude[i]:
alt_max = altitude[i]
if alt_min_all > altitude[i]:
alt_min_all = altitude[i]
if alt_max_all < altitude[i]:
alt_max_all = altitude[i]
_alt_min = int(alt_min / 100) * 100
_alt_max = int(alt_max / 100) * 100 + 100
_alt_min_all = int(alt_min_all / 100) * 100
_alt_max_all = int(alt_max_all / 100) * 100 + 100
rate = (_alt_max_all - _alt_min_all) / 15
for i in range(len(distance)):
data2.append((distance[i], angle[i] * rate + _alt_min_all))
# data = (data1, data2)
data = (data1, )
drawing = Drawing(400, 0)
lp = LinePlot()
lp.x = 25
lp.y = 20
lp.height = 400
lp.width = 815
lp.data = data
lp.joinedLines = 1
# lp.lines[0].symbol = makeMarker('FilledCircle')
# lp.lines[1].symbol = makeMarker('Circle')
lp.lines[0].strokeColor = HexColor(0x808080)
lp.lines[0].strokeWidth = 3
lp.lines[1].strokeColor = HexColor(0x808080)
lp.lines[1].strokeWidth = 1
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 10
lp.xValueAxis.valueSteps = list(range(1, 11)) + [next_point]
lp.xValueAxis.labelTextFormat = '%.1f'
# lp.xValueAxis.strokeColor = HexColor(0x808080)
lp.yValueAxis.valueMin = _alt_min_all
lp.yValueAxis.valueMax = _alt_max_all
lp.yValueAxis.valueSteps = [alt_min_all, alt_max_all] + list(
range(_alt_min_all, _alt_max_all + 1, 100))
lp.yValueAxis.labelTextFormat = '%d'
drawing.add(lp)
x = 815 * next_point / 10 + 25
drawing.add(Line(x, 20, x, 400 + 20, strokeColor=HexColor(0x808080)))
prev_distance = distance[0]
prev_alt = altitude[0]
for i in range(1, len(distance)):
high = max(prev_alt, altitude[i])
low = min(prev_alt, altitude[i])
for alt in range(int(low) // 3 + 1, int(high) // 3 + 1):
rate = (alt * 3 - low) * 1.0 / (high - low)
d = (distance[i] - prev_distance) * rate + prev_distance
x = 815 * d / 10 + 25
if low == prev_alt:
drawing.add(
Line(x,
30 + 20,
x,
80 + 20,
strokeColor=HexColor(0x000000)))
else:
drawing.add(
Line(x,
10 + 20,
x,
30 + 20,
strokeColor=HexColor(0x808080)))
prev_distance = distance[i]
prev_alt = altitude[i]
drawing.drawOn(pdfFile, 0, 0)
pdfFile.line(0, 0, 0, 100)
pdfmetrics.registerFont(
TTFont(fontname, '/usr/share/fonts/ipa-gothic/ipag.ttf'))
pdfmetrics.registerFont(
TTFont("waree", '/usr/share/fonts/thai-scalable/Waree.ttf'))
pdfFile.setFont(fontname, 40)
pdfFile.drawString(1 * cm, 19.5 * cm, str(round(Q[qn]["distance"], 1)))
pdfFile.setFont(fontname, 50)
pdfFile.drawString(7 * cm, 19.5 * cm, str(Q[qn]["limit_time"]))
pdfFile.setFont(fontname, 50)
pdfFile.drawString(13.5 * cm, 19.5 * cm,
str(round(Q[qn]["distance_to_next_pc"], 1)))
pdfFile.setFont(fontname, 50)
pdfFile.drawString(19 * cm, 19.5 * cm, str(Q[qn]["plan_time"]))
pdfFile.setFont(fontname, 40)
pdfFile.drawString(25 * cm, 19.5 * cm, str(Q[qn - 1]["plan_time"]))
# pdfFile.drawString(25*cm, 19.5*cm, str(int(Q[qn]["no"])))
direction = "%s %s %s" % (round(Q[qn]["lap_distance"],
1), Q[qn]["direction"], Q[qn]["road"])
y = 16 * cm
y = put_text(pdfFile, y, direction, 110, 0.5 * cm)
# pdfFile.drawString(0*cm, 17*cm, direction)
# y = 14*cm
if Q[qn]["comment1"]:
y = put_text(pdfFile, y, Q[qn]["comment1"], 90, font=fontname)
y = put_text(pdfFile,
y,
"%s%s" % (Q[qn]["signal"], Q[qn]["comment2"]),
60,
font=fontname)
y = put_text(
pdfFile, y,
"%d - %d - %d - %d" % (altitude[0], alt_min, alt_max, alt_max_all), 50)
pdfFile.setFont(fontname, 50)
pdfFile.drawString(25 * cm, 1.0 * cm,
str(round(Q[qn]["distance_to_drop"], 1)))
pdfFile.showPage()
