官方介绍:
Generating PDFs from Wall Street to Wikipedia
We build solutions to generate rich, attractive and fully bespoke PDF documents at incredible speeds. This can let you serve personalised documents in real time, produce high-quality output, and support all kinds of delivery from web downloads through to personalised digital print.
简要来说,就是 快速实时生成丰富的、定制的PDF文档。用于实时个性化定制,生成高质量的输出,支持各种交付,可以从网络下载到个人输出等。
安装:
# yum install freetype-devel.x86_64 # yum install python-devel.x86_64 # pip install reportlab如果不安装python-devel否则报错:
# error: command 'gcc' failed with exit status 1 Command /usr/bin/python -c "import setuptools;__file__='/tmp/pip-build-root/reportlab/setup.py';exec(compile(open(__file__).read().replace('\r\n', '\n'), __file__, 'exec'))" install --record /tmp/pip-oneoII-record/install-record.txt --single-version-externally-managed failed with error code 1 in /tmp/pip-build-root/reportlab
坐标图:
from reportlab.lib import colors from urllib import urlopen from reportlab.graphics.shapes import * from reportlab.graphics.charts.lineplots import LinePlot from reportlab.graphics import renderPDF 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)] drawing.add(lp) renderPDF.drawToFile(drawing,'report.pdf','Sunspots') def main(): return 0 if __name__ == '__main__': main()
坐标柱状图:
from reportlab.lib.colors import Color, blue, red from reportlab.graphics.charts.legends import Legend, TotalAnnotator from reportlab.graphics.shapes import Drawing, _DrawingEditorMixin from standard_colors import pdf_chart_colors, setItems from reportlab.lib.validators import Auto from reportlab.graphics.charts.barcharts import VerticalBarChart class FactSheetHoldingsVBar(_DrawingEditorMixin,Drawing): def __init__(self,width=400,height=200,*args,**kw): apply(Drawing.__init__,(self,width,height)+args,kw) self._add(self,VerticalBarChart(),name='bar',validate=None,desc=None) self.bar.data = [[4.22], [4.12], [3.65], [3.56], [3.49], [3.44], [3.07], [2.84], [2.76], [1.09]] self.bar.categoryAxis.categoryNames = ['Financials','Energy','Health Care','Telecoms','Consumer','Consumer 2','Industrials','Materials','Other','Liquid Assets'] self.bar.categoryAxis.labels.fillColor = None self.bar.width = 200 self.bar.height = 150 self.bar.x = 30 self.bar.y = 15 self.bar.barSpacing = 5 self.bar.groupSpacing = 5 self.bar.valueAxis.labels.fontName = 'Helvetica' self.bar.valueAxis.labels.fontSize = 8 self.bar.valueAxis.forceZero = 1 self.bar.valueAxis.rangeRound = 'both' self.bar.valueAxis.valueMax = None#10# self.bar.categoryAxis.visible = 1 self.bar.categoryAxis.visibleTicks = 0 self.bar.barLabels.fontSize = 6 self.bar.valueAxis.labels.fontSize = 6 self.bar.strokeWidth = 0.1 self.bar.bars.strokeWidth = 0.5 n = len(self.bar.data) setItems(n,self.bar.bars,'fillColor',pdf_chart_colors) #add and set up legend self._add(self,Legend(),name='legend',validate=None,desc=None) _ = ['Vodafone Group', 'UBS', 'British Petroleum', 'Royal bk of Scotland', 'HSBC Holdings', 'Total Elf Fina', 'Repsol', 'Novartis', 'BNP Paribas', 'Schneider Electric' ] self.legend.colorNamePairs = [(Auto(chart=self.bar),(t,'%.2f'% d[0])) for t,d in zip(_,self.bar.data)] self.legend.columnMaximum = 10 self.legend.fontName = 'Helvetica' self.legend.fontSize = 5.5 self.legend.boxAnchor = 'w' self.legend.x = 260 self.legend.y = self.height/2 self.legend.dx = 8 self.legend.dy = 8 self.legend.alignment = 'right' self.legend.yGap = 0 self.legend.deltay = 11 self.legend.dividerLines = 1|2|4 self.legend.subCols.rpad = 10 self.legend.dxTextSpace = 5 self.legend.strokeWidth = 0 self.legend.dividerOffsY = 6 self.legend.colEndCallout = TotalAnnotator(rText='%.2f'%sum([x[0] for x in self.bar.data]), fontName='Helvetica-Bold', fontSize=self.legend.fontSize*1.1) self.legend.colorNamePairs = [(self.bar.bars[i].fillColor, (self.bar.categoryAxis.categoryNames[i][0:20], '%0.2f' % self.bar.data[i][0])) for i in range(len(self.bar.data))] def main(): drawing = FactSheetHoldingsVBar() drawing.save(formats=['pdf'],outDir='.',fnRoot=None) drawing.save(formats=['png'],outDir='.',fnRoot=None) return 0 if __name__ == '__main__': main()
绘制饼图:
from reportlab.graphics.charts.piecharts import Pie from reportlab.graphics.shapes import Drawing, _DrawingEditorMixin from reportlab.lib.colors import Color, magenta, cyan class pietests(_DrawingEditorMixin,Drawing): def __init__(self,width=400,height=200,*args,**kw): Drawing.__init__(self,width,height,*args,**kw) self._add(self,Pie(),name='pie',validate=None,desc=None) self.pie.sideLabels = 1 self.pie.labels = ['Label 1', 'Label 2', 'Label 3', 'Label 4', 'Label 5'] self.pie.data = [20, 10, 5, 5, 5] self.pie.width = 140 self.pie.height = 140 self.pie.y = 35 self.pie.x = 125 def main(): drawing = pietests() # you can do all sorts of things to drawing, lets just save it as pdf and png. drawing.save(formats=['pdf','png'],outDir='.',fnRoot=None) return 0 if __name__ == '__main__': main()
官网:
http://www.reportlab.com/
文档:
http://www.reportlab.com/software/documentation/
示例:
http://www.reportlab.com/snippets/