def main():
f = file("Translate1-2004-01-09-g(9.8).txt")
timex = []
timey = []
timez = []
for line in f:
list = line.split(' ')
timex.append((float(list[0]), float(list[1])))
timey.append((float(list[0]), float(list[2])))
drawing = Drawing(400,600)
max_time, _ = timex[len(timex)-1]
_, max_x = timex[len(timex)-1]
lineplot_x = LinePlot()
lineplot_x.x = max_time+1
##lineplot_x.x = 50
lineplot_x.y = max_x+1
##lineplot_x.y = 50
lineplot_x.height = 125
lineplot_x.width = 300
lineplot_x.data = [timex]
drawing.add(lineplot_x)
_, max_y = timey[len(timey)-1]
lineplot_y = LinePlot()
lineplot_y.x = max_time+1
lineplot_y.y = max_y+1
lineplot_y.height = 125
lineplot_y.width = 300
lineplot_y.data = [timey]
##drawing.add(lineplot_y)
## renderPDF.drawToFile(drawing, 'XVal1VsTime-2004-01-09-g(9.8).pdf', 'XvsTime')
## _, max_y = timex[len(timey)-1]
## lineplot_y = LinePlot()
##write data to files
file_x = file("xpos.txt", 'w')
for item in timex:
str = item.__str__()
str = str.replace('(', '')
str = str.replace(')', '')
str = str.replace(',', '')
file_x.write(str + '\n')
file_y = file("ypos.txt", 'w')
for item in timey:
str = item.__str__()
str = str.replace('(', '')
str = str.replace(')', '')
str = str.replace(',', '')
file_y.write(str + '\n')
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 main():
URL = 'http://www.swpc.noaa.gov/ftpdir/weekly/Predict.txt'
COMMENT_CHARS = '#:'
drawing = Drawing(400, 200)
data = []
for line in urlopen(URL).readlines():
if not line.isspace() and not line[0] in COMMENT_CHARS:
data.append([float(n) for n in line.split()])
pred = [row[2] for row in data]
high = [row[3] for row in data]
low = [row[4] for row in data]
times = [row[0] + row[1] / 12.0 for row in data]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = [zip(times, pred), zip(times, high), zip(times, low)]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
drawing.add(lp)
drawing.add(String(250, 150, 'Sunspots', fontSize=14,
fillColor=colors.red))
renderPDF.drawToFile(drawing, 'report.pdf', 'Sunspots')
def main():
URL = 'http://www.swpc.noaa.gov/ftpdir/weekly/Predict.txt'
COMMENT_CHARS = '#:'
drawing = Drawing(400, 200)
data = []
for line in urlopen(URL).readlines():
if not line.isspace() and not line[0] in COMMENT_CHARS:
data.append([float(n) for n in line.split()])
pred = [row[2] for row in data]
high = [row[3] for row in data]
low = [row[4] for row in data]
times = [row[0] + row[1]/12.0 for row in data]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = [zip(times, pred), zip(times, high), zip(times, low)]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
drawing.add(lp)
drawing.add(String(250, 150, 'Sunspots', fontSize = 14, fillColor = colors.red))
renderPDF.drawToFile(drawing, 'report.pdf', 'Sunspots')
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(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 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 getLineChartWithMarkers():
data = [((2, 3), (3, 2), (5, 3)), ((2, 6), (3, 4), (4, 3), (5, 1))]
chart = LinePlot()
chart.data = data
chart.x = 5
chart.y = 5
chart.width = 240
chart.height = 100
chart.fillColor = colors.yellowgreen
chart.lines[0].strokeWidth = 3.5
chart.lines[1].strokeWidth = 1
chart.lines[0].strokeColor = colors.brown
chart.xValueAxis.valueMin = 1
chart.xValueAxis.valueMax = 6
chart.yValueAxis.valueMin = 1
chart.yValueAxis.valueMax = 7
chart.lines[0].symbol = makeMarker('Diamond')
chart.lines[0].symbol.fillColor = colors.pink
chart.lines[1].symbol = makeMarker(
'EU_Flag', # 'Triangle',
fillColor=colors.red)
title = String(50, 110, 'Line Plot Chart', fontSize=14)
drawing = Drawing(240, 120)
drawing.add(title)
drawing.add(chart)
return drawing
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 _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 line_plot_demo():
d = Drawing(400, 400)
line = LinePlot()
line.x = 50
line.y = 85
line.height = 150
line.width = 250
line.lineLabelFormat = '%2.0f'
data = [((1, 1), (2, 2), (2.5, 1), (3, 3), (4, 5)),
((1, 2), (2, 3), (2.5, 2), (3.5, 5), (4, 6))]
line.data = data
line.lines[0].strokeColor = colors.green
line.lines[1].strokeColor = colors.blue
line.lines[0].strokeWidth = 3
line.lines[0].symbol = makeMarker('Circle')
line.lines[1].symbol = makeMarker('Hexagon')
line.xValueAxis.valueMin = 0
line.xValueAxis.valueMax = 10
line.xValueAxis.valueSteps = [1, 2, 4]
line.xValueAxis.labelTextFormat = '%2.1f'
line.yValueAxis.valueMin = 0
line.yValueAxis.valueMax = 12
d.add(line, '')
d.save(formats=['pdf'], outDir='.', fnRoot='line_plot_demo')
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_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 test03():
# 最终太阳黑子图形程序
from urllib import urlopen
from reportlab.graphics.shapes import *
from reportlab.graphics.charts.lineplots import LinePlot
from reportlab.graphics.charts.textlabels import Label
from reportlab.graphics import renderPDF
URL = "http://services.swpc.noaa.gov/text/predicted-sunspot-radio-flux.txt"
COMMENT_CHARS = "#:"
drawing = Drawing(400, 200)
data = []
for line in urlopen(URL).readlines():
if not line.isspace() and not line[0] in COMMENT_CHARS:
data.append([float(n) for n in line.split()])
pred = [row[2] for row in data]
high = [row[3] for row in data]
low = [row[4] for row in data]
times = [row[0] + row[1] / 12.0 for row in data]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = [zip(times, pred), zip(times, high), zip(times, low)]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
drawing.add(lp)
drawing.add(String(250, 150, "Sunsports", fontSize=14, fillColor=colors.red))
renderPDF.drawToFile(drawing, "report2.pdf", "Sunsports")
def draw():
'''
data=[(2007,8,113.2,114.2,112.2),
(2007,9,112.8,115.8,109.8),
(2007,10,111.0,116.0,106.0),
(2007,11,109.8,116.8,102.8),
(2007,12,107.3,115.3,99.3),
(2008,1,105.2,114.2,96.2),
(2008,2,104.1,114.1,94.1),
(2008,3,99.9,110.9,88.9),
(2008,4,94.8,106.8,82.8),
(2008,5,91.2,104.2,78.2)]
'''
'''
#这个是在pdf里画一个 hello word 的例子,
d=Drawing(100,100)
s=String(50,50,"hello word",textAnchor="middle")
d.add(s)
renderPDF.drawToFile(d,"hello.pdf","A simple PDF file")#renderPDF.drawToFile调用后会把你的pdf文件存到当前目录下一个叫hello.pdf的文件中
'''
URL="http://www.swpc.noaa.gov/ftpdir/weekly/Predict.txt"#见364页，这个网址记录的是太阳黑子的全部数据
COMMENT_CHARS="#:"
drawing=Drawing(400,200)
data=[]
for line in urlopen(URL).readlines():
#not isspace()是判断 这一行不为空字符串，not line[0] in COMMENT_CHARS是说 在网页里去掉 # 和 . 的部分
if not line.isspace() and not line[0] in COMMENT_CHARS:
data.append([float(n) for n in line.split()])
#print data
pred=[row[2] for row in data]
high=[row[3] for row in data]
low=[row[4] for row in data]
times=[row[0]+row[1]/12.0 for row in data]
lp=LinePlot()
#设置 x,y,height,width,以及data
lp.x=50
lp.y=50
lp.height=125
lp.width=300
lp.data=[zip(times,pred),zip(times,high),zip(times,low)]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
'''
drawing.add(PolyLine(zip(times,pred),storkeColor=colors.blue))
drawing.add(PolyLine(zip(times,high),storkeColor=colors.red))
drawing.add(PolyLine(zip(times,low),storkeColor=colors.green))
#drawing.add(PolyLine([(10,50),(100,50),(80,80)],storkeColor=colors.red))#这个是直接画一条线
'''
drawing.add(lp)
drawing.add(String(250,150,"SunSpots",fontSize=14,fillColor=colors.red))
renderPDF.drawToFile(drawing,"report.pdf","SunSpots")#renderPDF.drawToFile调用后会把你的pdf文件存到当前目录下一个叫report.pdf的文件中
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 MakePDF(times, list, reportname, pdfname):
drawing = Drawing(500, 300)
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = [zip(times, list)]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
drawing.add(lp)
drawing.add(String(350, 150, reportname, fontSize=14, fillColor=colors.red))
renderPDF.drawToFile(drawing, pdfname, reportname)
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 getLp(reportDict,init_num,height):
lp = LinePlot()
lp.x = 100
lp.y = height-(200*(init_num+1))
lp.height = 125
lp.width = 600
lp.data = []
lp.lines[0].strokeColor = colors.blue
lst=[]
infile=reportDict[0]
with open(infile,'r') as f:
for line in f.readlines():
line_lst=line.split('\t')
lst_time=int(line_lst[0])
lst_data=int(line_lst[1])
lst.append((lst_time,lst_data))
lp.data.append(lst)
return lp
def render_graph(self, request_opts, graph_opts):
def label_fmt(x):
print "@@@", x
return str(x)
ld = len(graph_opts["data"])
palette = [Color(*x) for x in get_float_pallete(ld)]
w = graph_opts["width"]
h = graph_opts["height"]
drawing = Drawing(w, h)
# Legend
legend = LineLegend()
legend.colorNamePairs = [
(palette[i], graph_opts["data"][i].name)
for i in range(ld)
]
legend.boxAnchor = "sw"
legend.columnMaximum = 2
legend.alignment = "right"
drawing.add(legend)
lh = legend._calcHeight() + self.X_PADDING / 2
# Plot
lp = LinePlot()
lfs = lp.xValueAxis.labels.fontSize
lp.x = self.X_PADDING
lp.y = self.Y_PADDING + lh + lfs
lp.width = w - 2 * self.X_PADDING
lp.height = h - self.Y_PADDING - lp.y
lp.data = [
[(t, v) for v, t in ts] for ts in graph_opts["data"]
]
for i in range(ld):
lp.lines[i].strokeColor = palette[i]
drawing.add(lp)
# Render
cdata = drawing.asString(format="png")
response = self.render_plain_text(
cdata,
mimetype="image/png"
)
if not request_opts["noCache"]:
cache.set(request_opts["requestKey"], response,
request_opts["cacheTimeout"])
return response
def getLp(reportDict, init_num, height, mode):
lp = LinePlot()
lp.x = 100
lp.y = height - 300 * (init_num + 1)
lp.height = 200
lp.width = 400
if mode == 'used':
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 100
lp.yValueAxis.valueSteps = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
elif mode == 'mem':
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 24000
lp.yValueAxis.valueSteps = [
2000, 4000, 6000, 8000, 10000, 12000, 14000, 16000, 18000, 20000,
22000, 24000
]
lp.data = []
lp.lines[0].strokeColor = colors.blue
lst = []
lst_sum = []
xValue = []
infile = reportDict[0]
with open(infile, 'r') as f:
for line in f.readlines():
line_lst = line.split('\t')
lst_time = float(line_lst[0])
xValue.append(lst_time)
lst_data = float(line_lst[1])
lst_sum.append(lst_data)
lst.append((lst_time, lst_data))
lp.data.append(lst)
avgData = round(sum(lst_sum) / len(lst_sum), 2)
lp.xValueAxis.valueMin = xValue[0]
lp.xValueAxis.valueMax = int(xValue[-1]) + 1
lp.xValueAxis.valueSteps = range(0, int(xValue[-1]) + 2)
result = []
result.append(lp)
result.append(avgData)
return result
def draw_lines(data, height=125, width=220, use_colors=[]):
lp = LinePlot()
'''
title = Label()
title.fontName = "song"
title.fontSize = 12
title_text = "ceshi"
title._text = title_text
'''
lp.x = 50 #坐标轴中心坐标
lp.y = 50
lp.height = height
lp.width = width
thex = data.iloc[:, 0].tolist()
datalist = []
for lines in range(len(data.columns) - 1):
datalist.append(list(zip(thex, data.iloc[:, lines + 1].tolist())))
lp.data = datalist
if use_colors != []:
for i, col in enumerate(use_colors):
lp.lines[i].strokeColor = col
return lp
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 graphout(name, datain,xaxis=None):
if xaxis is None:
xaxis=range(datain.size)
if xlabel is None:
xlabel = ''
if ylabel is None:
ylabel = ''
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))
# ]
dataview = [tuple([(xaxis[i],datain[i]) for i in range(datain.size)])]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = dataview
lp.xValueAxis.xLabelFormat = '{mmm} {yy}'
lp.lineLabels.fontSize = 6
lp.lineLabels.boxStrokeWidth = 0.5
lp.lineLabels.visible = 1
lp.lineLabels.boxAnchor = 'c'
# 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 = min(xaxis)
# lp.xValueAxis.valueMax = max(xaxis)
# lp.xValueAxis.valueSteps = xaxis
# lp.xValueAxis.labelTextFormat = '%2.1f'
# lp.yValueAxis.valueMin = min(datain)
# lp.yValueAxis.valueMax = max(datain)
# lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
return drawing
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 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 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 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 draw_line(self, line_data, *args, **kw):
drawing = Drawing(400, 200)
lp = LinePlot()
lp.x = 30
lp.y = -20
lp.height = 200
lp.width = 400
lp.data = line_data
lp.xValueAxis.labels.fontName = 'Helvetica'
lp.xValueAxis.labels.fontSize = 7
lp.xValueAxis.forceZero = 0
lp.xValueAxis.avoidBoundFrac = 1
lp.xValueAxis.gridEnd = 115
lp.xValueAxis.tickDown = 3
lp.xValueAxis.labelTextFormat = lambda x: time.strftime(
'%Y-%m-%d %H:%M:%S', time.localtime(int(x) / 1000))
lp.yValueAxis.tickLeft = 3
lp.yValueAxis.labels.fontName = 'Helvetica'
lp.yValueAxis.labels.fontSize = 7
for i in range(len(line_data)):
lp.lines[i].strokeColor = colors.toColor('hsl(%s,80%%,40%%)' %
(i * 60))
drawing.add(lp)
title = Label()
title.fontName = 'Helvetica-Bold'
title.fontSize = 14
title.x = 200
title.y = 180
title._text = 'Chart Title'
title.maxWidth = 180
title.height = 20
title.textAnchor = 'middle'
drawing.add(title)
return 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 get_figure_drawing(input_data, x_margin, y_margin, width, height):
time = np.arange(len(input_data))
prefix_sums = np.cumsum(input_data)
# Data in needed for Drawing format (pairs array)
data = [np.column_stack((time, prefix_sums))]
data = [tuple(map(tuple, data[0]))]
# Create drawing.
drawing = Drawing()
# Create graph.
our_graph = LinePlot()
our_graph.data = data
our_graph.x = x_margin
our_graph.y = y_margin
our_graph.height = height
our_graph.width = width
drawing.add(our_graph)
return drawing
def draw_report():
data = init_data()
pred = [row[2] for row in data]
high = [row[3] for row in data]
low = [row[4] for row in data]
times = [(row[0] + row[1] / 12.0) for row in data]
d = Drawing(400, 200)
title = String(250, 180, 'Sunspots', fontsize=14, fillColor=colors.red)
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = [
list(zip(times, pred)),
list(zip(times, high)),
list(zip(times, low))
]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
d.add(title)
d.add(lp)
renderPDF.drawToFile(d, 'report.pdf', 'Sunspots')
from reportlab.graphics import renderPDF
URL = '/Users/gaoyajie/github/JustDoDo/py_test/21no_t/s.txt'
COMMENT_CHARS = '#:'
drawing = Drawing(400, 200)
data = []
for line in open(URL).readlines():
if not line.isspace() and not line[0] in COMMENT_CHARS:
data.append([float(n) for n in line.split()])
pred = [row[5] for row in data]
high = [row[6] for row in data]
low = [row[7] for row in data]
times = [row[0] + row[1] / 12.0 for row in data]
lp = LinePlot()
lp.x = 20
lp.y = 20
lp.height = 125
lp.width = 300
lp.data = [zip(times, pred), zip(times, high), zip(times, low)]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.greenyellow
drawing.add(lp)
drawing.add(String(250, 150, 'SunSpot', fontSize=14,
fillColor=colors.darkblue))
renderPDF.drawToFile(drawing, 'report3.pdf', 'Sunspots')
self.duration = time.mktime(time.strptime(findEnd.group(), "%Y-%m-%d %H:%M:%S")) - time.mktime(time.strptime(findStart.group(), "%Y-%m-%d %H:%M:%S"))
print '---> Done'
class PDFGen(object):
Date = datetime.datetime.now().strftime("%Y-%m-%d")
FileLeft = None
FileRight = None
Color = [colors.red, colors.blue, colors.green, colors.pink, colors.gray, colors.cyan, colors.orange, colors.purple, colors.yellow, colors.black]
def drawLineChart(self, (names, start, end, data, title), reserved=None):
w = PAGE_WIDTH - 2 * inch
h = w * 0.6
drawing = Drawing(w, h)
lp = LinePlot()
lp.x = 0
lp.y = 0
lp.height = h - 30
lp.width = w
lp.data = data
lp.joinedLines = 1
lp.strokeColor = colors.black
lp.xValueAxis = XValueAxis()
lp.xValueAxis.valueMin = start
lp.xValueAxis.valueMax = end
lp.xValueAxis.valueSteps = [(start + i * (end - start) / 5) for i in range(6)]
lp.xValueAxis.labelTextFormat = lambda seconds: time.strftime("%m/%d %H:%M", time.localtime(seconds))
lp.xValueAxis.labels.angle = 35
lp.xValueAxis.labels.fontName = 'Helvetica'
lp.xValueAxis.labels.fontSize = 7
url = "http://www.swpc.noaa.gov/ftpdir/weekly/Predict.txt" COMMENT_CHARS = '#:' drawing = Drawing(600,400) data = [] html = urllib.urlopen(url).readlines() for line in html: if not line.isspace() and not line[0] in COMMENT_CHARS: data.append([float(n) for n in line.split()]) pred = [row[2] for row in data] high = [row[3] for row in data] low = [row[4] for row in data] times = [(row[0] + row[1]/12.0) for row in data] lp = LinePlot() lp.x = 100 lp.y = 100 lp.height = 125 lp.width = 300 lp.data = [zip(times, pred), zip(times, high), zip(times, low)] lp.lines[0].strokeColor = colors.blue lp.lines[1].strokeColor = colors.red lp.lines[2].strokeColor = colors.green drawing.add(lp) drawing.add(String(350,250,'Subspots', fontsize = 14, fileColor = colors.red)) renderPDF.drawToFile(drawing, "report7.pdf", 'Sunports')
URL = 'http://www.swpc.noaa.gov/ftpdir/weekly/Predict.txt'
COMMENT_CHARS = '#:'
drawing = Drawing(400, 200)
data = []
for line in urlopen(URL).readlines():
if not line.isspace() and not line[0] in COMMENT_CHARS:
data.append([float(n) for n in line.split()])
pred = [row[2] for row in data]
high = [row[3] for row in data]
low = [row[4] for row in data]
times = [row[0] + row[1]/12.0 for row in data]
lp = LinePlot()
lp.x = 30
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = [zip(times, pred), zip(times, high), zip(times, low)]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
drawing.add(lp)
drawing.add(String(250, 150, 'Sunspots',
fontSize=14, fillColor=colors.red))
renderPDF.drawToFile(drawing, 'report3.pdf', 'Sunspots')
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
from reportlab.pdfgen import canvas
from reportlab.graphics.shapes import Drawing
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')
(2007, 9, 112.8, 115.8, 109.8),
(2007, 10, 111.0, 116.0, 106.0),
(2007, 11, 109.8, 116.8, 102.8),
(2007, 12, 107.3, 115.3, 99.3),
(2008, 1, 105.2, 114.2, 96.2),
(2008, 2, 104.1, 114.1, 94.1),
(2008, 3, 99.9, 110.9, 88.9),
(2008, 4, 94.8, 106.8, 82.8),
(2008, 5, 91.2, 104.2, 78.2),
]
drawing = Drawing(400, 200)
pred = [row[2] for row in data]
high = [row[3] for row in data]
low = [row[4] for row in data]
times = [row[0] + row[1] / 12.0 for row in data]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = [zip(times, pred), zip(times, high), zip(times, low)]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
drawing.add(lp)
drawing.add(String(200, 180, 'Sunspots', fontSize = 14, fillColor = colors.red))
renderPDF.drawToFile(drawing, 'report2.pdf', 'Sunspots')
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 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 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()
"""
from reportlab.graphics.shapes import Drawing
from reportlab.lib import colors
from reportlab.graphics.charts.lineplots import LinePlot
from reportlab.graphics.widgets.markers import makeMarker
from reportlab.graphics.charts.legends import Legend
from reportlab.graphics.charts.textlabels import Label
d = Drawing(620, 430)
lp = LinePlot()
lp.width = 520
lp.height = 320
lp.x = 70
lp.y = 80
FH = open("finalOutPut.csv", 'r')
data_lines = FH.readlines()
FH.close()
TP = 20
TN = 14
TOT = 7129
dat_dict = {}
num_clust = -1
num_clust_prev = -1
def stackedGraphs(self,lxydata,tmin=None,tmax=None): # list of (label, [x,yarr]) with x in seconds
lcheight = 125
lcwidth = self.PAGE_WIDTH-280
graphsinchart = self.maxnumgraphsinchart
stacks = (len(lxydata)/graphsinchart)
if len(lxydata)%graphsinchart>0:
stacks +=1
drawing = Drawing(lcwidth+130, stacks*lcheight+75)
ix = 0
for ix in range(0,len(lxydata),graphsinchart):
subset=lxydata[ix:min(ix+graphsinchart,len(lxydata))]
maxX = subset[0][1][0][0]
maxY = 1.
minX = maxX
minY = -1
for label,xyarr in subset:
xarr = [x for (x,y) in xyarr]
yarr = [y for (x,y) in xyarr]
maxY = max(maxY, max(yarr))
minY = min(minY, min(yarr))
maxX = max(maxX, max(xarr))
minX = min(minX, min(xarr))
if not tmin is None:
minX = tmin
if not tmax is None:
maxX = tmax
subset.append(('CritMax',[[minX,1.],[maxX,1.]]))
subset.append(('CritMin',[[minX,-1.],[maxX,-1.]]))
lc = LinePlot()
lc.x = 30
lc.y = 50+lcheight*ix/graphsinchart
lc.height = (lcheight-10)
lc.width = lcwidth
lc.data = [xy for (l,xy) in subset]
datalabels = [ l for (l,xy) in subset]
lc.xValueAxis.valueMin = minX
lc.xValueAxis.valueMax = maxX
lc.xValueAxis.valueStep = int((maxX-minX)/5)
if ix == 0:
lc.xValueAxis.labelTextFormat = dateformatter # Use the formatter
else:
lc.xValueAxis.labelTextFormat = emptyformatter # Use the formatter
lc.xValueAxis.visibleGrid = True
lc.xValueAxis.gridStrokeWidth = .5
lc.xValueAxis.gridStrokeColor = colors.darkgrey
lc.xValueAxis.subTickNum = 1
lc.xValueAxis.subGridStrokeWidth = .25
lc.xValueAxis.subGridStrokeColor = colors.lightgrey
lc.xValueAxis.visibleSubGrid = True
lc.yValueAxis.valueMin = minY
lc.yValueAxis.valueMax = maxY
lc.yValueAxis.valueStep = .25
if (maxY-minY)>2:
lc.yValueAxis.valueStep = .5
if (maxY-minY)>4:
lc.yValueAxis.valueStep = 1.
lc.yValueAxis.visibleGrid = True
lc.yValueAxis.gridStrokeWidth = .5
lc.yValueAxis.gridStrokeColor = colors.darkgrey
lc.yValueAxis.subTickNum = 1
lc.yValueAxis.subGridStrokeWidth = .25
lc.yValueAxis.subGridStrokeColor = colors.lightgrey
lc.yValueAxis.visibleSubGrid = True
for x in range(len(lc.data)):
lc.lines[x].strokeColor = self.colors[x]
lc.lines[x].name = datalabels[x]
if len(lc.data[x]) ==1:
lc.lines[x].symbol = makeMarker('FilledCircle') # added to make filled circles.
lc.lines[x].strokeWidth = 2
if lc.lines[x].name == 'CritMin' or lc.lines[x].name == 'CritMax': # distinguish min/max
lc.lines[x].strokeColor = self.colors[0]
lc.lines[x].strokeDashArray = (5, 1)
self.addLabels(drawing,ylabel="geschaalde waarde")
drawing.add(lc)
ix += 1
drawing.add(self.addAutoLegend(lc,(lc.x,lc.y,lc.width,lc.height),len(lc.data),side='right'))
return 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 dategraph(self,lxydata,tmin=None,tmax=None): # list of (label, [x,yarr]) with x in seconds
maxX = lxydata[0][1][0][0]
maxY = 1.
minX = maxX
minY = -1
for label,xyarr in lxydata:
xarr = [x for (x,y) in xyarr]
yarr = [y for (x,y) in xyarr]
maxY = max(maxY, max(yarr))
minY = min(minY, min(yarr))
maxX = max(maxX, max(xarr))
minX = min(minX, min(xarr))
if not tmin is None:
minX = tmin
if not tmax is None:
maxX = tmax
lxydata.append(('CritMax',[[minX,1.],[maxX,1.]]))
lxydata.append(('CritMin',[[minX,-1.],[maxX,-1.]]))
drawing = Drawing(self.PAGE_WIDTH-150, 200)
lc = LinePlot()
lc.x = 30
lc.y = 50
lc.height = 125
lc.width = self.PAGE_WIDTH-150-30
lc.data = [xy for (l,xy) in lxydata]
datalabels = [ l for (l,xy) in lxydata]
lc.xValueAxis.valueMin = minX
lc.xValueAxis.valueMax = maxX
lc.xValueAxis.valueStep = int((maxX-minX)/5)
lc.xValueAxis.labelTextFormat = dateformatter # Use the formatter
lc.xValueAxis.visibleGrid = True
lc.xValueAxis.gridStrokeWidth = .5
lc.xValueAxis.gridStrokeColor = colors.darkgrey
lc.xValueAxis.subTickNum = 1
lc.xValueAxis.subGridStrokeWidth = .25
lc.xValueAxis.subGridStrokeColor = colors.lightgrey
lc.xValueAxis.visibleSubGrid = True
lc.yValueAxis.valueMin = minY
lc.yValueAxis.valueMax = maxY
lc.yValueAxis.valueStep = .25
if (maxY-minY)>2:
lc.yValueAxis.valueStep = .5
if (maxY-minY)>4:
lc.yValueAxis.valueStep = 1.
lc.yValueAxis.visibleGrid = True
lc.yValueAxis.gridStrokeWidth = .5
lc.yValueAxis.gridStrokeColor = colors.darkgrey
lc.yValueAxis.subTickNum = 1
lc.yValueAxis.subGridStrokeWidth = .25
lc.yValueAxis.subGridStrokeColor = colors.lightgrey
lc.yValueAxis.visibleSubGrid = True
for x in range(len(lc.data)):
lc.lines[x].strokeColor = self.colors[x]
lc.lines[x].name = datalabels[x]
if len(lc.data[x]) ==1:
lc.lines[x].symbol = makeMarker('FilledCircle') # added to make filled circles.
lc.lines[x].strokeWidth = 2
if lc.lines[x].name == 'CritMin' or lc.lines[x].name == 'CritMax': # distinguish min/max
lc.lines[x].strokeColor = self.colors[0]
lc.lines[x].strokeDashArray = (5, 1)
self.addLabels(drawing,ylabel="geschaalde waarde")
drawing.add(lc)
drawing.add(self.addAutoLegend(lc,(lc.x,lc.y),len(lc.data)))
return drawing
data=[]
for line in urlopen(URL).readlines():
if not line.isspace() and not line[0] in COMMENT_CHARS:
data.append([float(n) for n in line.split()])
pred = [row[2] for row in data]
high = [row[3] for row in data]
low = [row[4] for row in data]
times = [row[0] + row[1]/12.0 for row in data]
'''
PDF文档的坐标是左下角为(0,0),x为横向，y为纵向
'''
lp = LinePlot()
lp.x=50
lp.y=250
lp.height=125
lp.width=300
lp.data = [zip(times, pred), zip(times, high), zip(times, low)]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
drawing.add(lp)
drawing.add(String(250, 350, 'Sunspots', fontSize=14, fillColor=colors.red))
pred = [row[5] for row in data]
high = [row[6] for row in data]
low = [row[7] for row in data]
COMMENT_CHARS = '#:'
drawing = Drawing(500, 300)
data = []
with open(File, encoding="utf-8") as source:
for line in source.readlines():
if not line.isspace() and line[0] not in COMMENT_CHARS:
data.append([float(n) for n in line.split()])
predict = [row[2] for row in data]
high = [row[3] for row in data]
low = [row[4] for row in data]
times = [row[0] + row[1] / 12.0 for row in data]
lp = LinePlot() # 实例化LinePlot
lp.x = 50 # 设置属性
lp.y = 50
lp.height = 200
lp.width = 400
lp.data = [
list(zip(times, predict)),
list(zip(times, high)),
list(zip(times, low))
]
lp.lines[0].strokeColor = colors.blue # 设置折线颜色
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
drawing.add(lp)
drawing.add(String(250, 150, 'Sunspots', fontSize=14, fillColor=colors.red))
renderPDF.drawToFile(drawing, 'report.pdf', 'Sunspots')
from reportlab.graphics.charts.textlabels import Label
from reportlab.graphics import renderPDF
from reportlab.graphics.widgets.markers import makeMarker
from reportlab.pdfbase import pdfmetrics, ttfonts
#注意data的类型，
#每一个数据点是一个元组
#一条曲线对应一个存储数据点元组的元组
#一个图形可以包含多条曲线，用列表存储曲线元组
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 #坐标轴中心坐标
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)
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 makeFrapFigure(session, commandArgs):
"""
Main method called to make the figure.
Returns fileID object of the child of the fileAnnotation
"""
roiService = session.getRoiService()
queryService = session.getQueryService()
updateService = session.getUpdateService()
rawFileStore = session.createRawFileStore()
rawPixelStore = session.createRawPixelsStore()
renderingEngine = session.createRenderingEngine()
imageId = commandArgs["imageId"]
theC = 0
if "theC" in commandArgs:
theC = commandArgs["theC"]
image = queryService.get("Image", imageId)
imageName = image.getName().getValue()
query_string = "select p from Pixels p join fetch p.image i join fetch p.pixelsType pt where i.id='%d'" % imageId
pixels = queryService.findByQuery(query_string, None)
#pixels = image.getPrimaryPixels()
pixelsId = pixels.getId().getValue()
#sizeX = pixels.getSizeX().getValue()
#sizeY = pixels.getSizeY().getValue()
#sizeZ = pixels.getSizeZ().getValue()
#sizeC = pixels.getSizeC().getValue()
#sizeT = pixels.getSizeT().getValue()
bypassOriginalFile = True
rawPixelStore.setPixelsId(pixelsId, bypassOriginalFile)
roiLabels = ["FRAP", "Base", "Whole"]
roiMap = getEllipses(roiService, imageId, roiLabels)
for l in roiLabels:
if l not in roiMap.keys():
print "ROI: '%s' not found. Cannot calculate FRAP" % l
return
frapMap = roiMap["FRAP"]
baseMap = roiMap["Base"]
wholeMap = roiMap["Whole"]
# make a list of the t indexes that have all 3 of the Shapes we need.
# and a list of the roiShapes for easy access.
tIndexes = []
frapROI = []
baseROI = []
wholeROI = []
for t in frapMap.keys():
if t in baseMap.keys() and t in wholeMap.keys():
tIndexes.append(t)
frapROI.append(frapMap[t])
baseROI.append(baseMap[t])
wholeROI.append(wholeMap[t])
tIndexes.sort()
log("T Indexes, " + ",".join([str(t) for t in tIndexes]))
# get the actual plane times.
timeMap = figUtil.getTimes(queryService, pixelsId, tIndexes, theZ=0, theC=0)
timeList = []
for t in tIndexes:
if t in timeMap:
timeList.append(timeMap[t])
else: # handles images which don't have PlaneInfo
timeMap[t] = t
timeList.append(t)
log("Plane times (secs), " + ",".join([str(t) for t in timeList]))
# lists of averageIntensity for the 3 ROIs
frapValues = []
baseValues = []
wholeValues = []
frapBleach = None
theZ = 0
for i, t in enumerate(tIndexes):
shapes = [frapROI[i], baseROI[i], wholeROI[i]]
theZ = frapROI[i][4] # get theZ from the FRAP ROI
# get a list of the average values of pixels in the three shapes.
averages = analyseEllipses(shapes, pixels, rawPixelStore, theC, t, theZ)
if frapBleach == None:
frapBleach = averages[0]
else:
frapBleach = min(frapBleach, averages[0])
frapValues.append(averages[0])
baseValues.append(averages[1])
wholeValues.append(averages[2])
log("FRAP Values, " + ",".join([str(v) for v in frapValues]))
log("Base Values, " + ",".join([str(v) for v in baseValues]))
log("Whole Values, " + ",".join([str(v) for v in wholeValues]))
# find the time of the bleach event (lowest intensity )
tBleach = frapValues.index(frapBleach)
log("Pre-bleach frames, %d" % tBleach)
if tBleach == 0:
print "No pre-bleach images. Can't calculate FRAP"
return
# using frames before and after tBleach - calculate bleach ranges etc.
frapPre = average(frapValues[:tBleach]) - average(baseValues[:tBleach])
wholePre = average(wholeValues[:tBleach]) - average(baseValues[:tBleach])
wholePost = average(wholeValues[tBleach:]) - average(baseValues[tBleach:])
# use these values to get a ratio of FRAP intensity / pre-Bleach intensity * (corrected by intensity of 'Whole' ROI)
frapNormCorr = []
for i in range(len(tIndexes)):
frapNormCorr.append( (float(frapValues[i] - baseValues[i]) / frapPre) * (wholePre / float(wholeValues[i] - baseValues[i])) )
log("FRAP Corrected, " + ",".join([str(v) for v in frapNormCorr]))
# work out the range of recovery (bleach -> plateau) and the time to reach half of this after bleach.
frapBleachNormCorr = frapNormCorr[tBleach]
plateauNormCorr = average(frapNormCorr[-5:])
plateauMinusBleachNormCorr = plateauNormCorr - frapBleachNormCorr
mobileFraction = plateauMinusBleachNormCorr / float(1 - frapBleachNormCorr)
immobileFraction = 1 - mobileFraction
halfMaxNormCorr = plateauMinusBleachNormCorr /2 + frapBleachNormCorr
log("Corrected Bleach Intensity, %f" % frapBleachNormCorr)
log("Corrected Plateau Intensity, %f" % plateauNormCorr)
log("Plateau - Bleach, %f" % plateauMinusBleachNormCorr)
log("Mobile Fraction, %f" % mobileFraction)
log("Immobile Fraction, %f" % immobileFraction)
log("Half Recovered Intensity, %f" % halfMaxNormCorr)
# Define the T-half for this FRAP. In place of fitting an exact curve to the
# data, find the two time-points that the half Max of recovery sits between
# and find the T-half using a linear approximation between these two points.
# The T-half is this solved for halfMaxNormCorr - timestamp(tBleach)
th = None
for t in tIndexes[tBleach:]:
if halfMaxNormCorr < frapNormCorr[t]:
th = tIndexes[t]
break
y1 = frapNormCorr[th-1]
y2 = frapNormCorr[th]
x1 = timeList[th-1]
x2 = timeList[th]
m1 = (y2-y1)/(x2-x1); #Gradient of the line
c1 = y1-m1*x1; #Y-intercept
tHalf = (halfMaxNormCorr-c1)/m1 - timeList[tBleach]
log("Bleach time, %f seconds" % timeList[tBleach])
log("T-Half, %f seconds" % tHalf)
figLegend = "\n".join(logLines)
print figLegend
# make PIL image of the last frame before FRAP
spacer = 5
frames = []
ellipses = [frapROI[tBleach-1], frapROI[tBleach], frapROI[-1]]
frames.append(getPlaneImage(renderingEngine, pixelsId, theZ, tIndexes[tBleach-1]))
frames.append(getPlaneImage(renderingEngine, pixelsId, theZ, tIndexes[tBleach]))
frames.append(getPlaneImage(renderingEngine, pixelsId, theZ, tIndexes[-1]))
figW = 450
font = imgUtil.getFont(16)
fontH = font.getsize("FRAP")[1]
labels = ["Pre-Bleach", "Bleach", "Recovery"]
imgW = (figW - (2 * spacer) ) / len(frames)
# shrink the images by width, or maintain height if shrink not needed.
smallImages = [imgUtil.resizeImage(img, imgW, img.size[1]) for img in frames]
zoomOut = 1/imgUtil.getZoomFactor(img.size, imgW, img.size[1])
figH = smallImages[0].size[1] + spacer + fontH
frapCanvas = Image.new("RGB", (figW, figH), (255,255,255))
draw = ImageDraw.Draw(frapCanvas)
y = spacer + fontH
x = 0
for l, img in enumerate(frames):
label = labels[l]
indent = (imgW - font.getsize(label)[0]) / 2
draw.text((x+indent, 0), label, font=font, fill=(0,0,0))
roiImage = addEllipse(smallImages[l], ellipses[l], zoomOut)
imgUtil.pasteImage(roiImage, frapCanvas, x, y)
x += spacer + imgW
#frapCanvas.show() # bug-fixing only
fileName = imageName + ".png"
frapCanvas.save(fileName, "PNG")
format = PNG
output = fileName
# if reportLab has imported...
if reportLab:
# we are going to export a PDF, not a JPEG
format = PDF
output = imageName + ".pdf"
# create a plot of curve fitted to: y = 1 - e(It)
# where thalf = ln 0.5 / -I
# http://www.embl.de/eamnet/frap/html/halftime.html
import math
i = 1/float(tHalf) * math.log(0.5)
fittedPoints = []
for t in timeList[3:]:
print math.exp(t * i)
f = frapBleachNormCorr + ((plateauNormCorr-frapBleachNormCorr) * (1 - math.exp(t * i)))
fittedPoints.append(f)
print fittedPoints
log("Fitted: , " + str(fittedPoints))
# create a plot of the FRAP data
figHeight = 450
figWidth = 400
drawing = Drawing(figWidth, figHeight)
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 300
lp.width = 300
lp.data = [zip(timeList, frapNormCorr), zip(timeList[3:], fittedPoints)]
lp.lines[0].strokeColor = colors.red
lp.lines[0].symbol = makeMarker('Circle')
lp.lines[1].strokeColor = colors.green
lp.lines[1].symbol = makeMarker('Circle')
drawing.add(lp)
drawing.add(String(200,25, 'Time (seconds)', fontSize=12, textAnchor="middle"))
drawing.add(String(200,figHeight-25, imageName, fontSize=12, textAnchor="middle"))
drawing.add(String(200,figHeight-50, 'T(1/2) = %f' % tHalf, fontSize=12, textAnchor="middle"))
# create an A4 canvas to make the pdf figure
figCanvas = canvas.Canvas(output, pagesize=A4)
pasteX = 100
pasteY = 75
# add the FRAP image
figCanvas.drawImage(fileName, pasteX-25, pasteY)
# add the FRAP data plot
renderPDF.draw(drawing, figCanvas, pasteX, 300, showBoundary=True)
figCanvas.save()
fileId = scriptUtil.uploadAndAttachFile(queryService, updateService, rawFileStore, image, output, format, figLegend)
return fileId
