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A Vertical Bar Chart
opensourcerl-toolkit

pix/RLIMG_59dc7ae326518fc9801f69ceda95f3b0.PNG
Author:
rptlab
Posted:
3 Dec 2009
Language:
Python
Tags:
opensource rl-toolkit

This shows a Horizontal Bar Chart with a Legend, being saved as both a bitmap for the web and a PDF chart. This code was generated using Diagra (ReportLab's commercial charts package), which allows you to define charts in a GUI. However, you don't need this package to run it, and all the chart features demonstrated are available in our open source package.

# this code was generated by Diagra, ReportLab Commercial drawing editor  
# It took only few clicks to generate the code.
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))]

if __name__=="__main__": #NORUNTESTS
    drawing = FactSheetHoldingsVBar()
    drawing.save(formats=['pdf'],outDir='.',fnRoot=None)
    drawing.save(formats=['png'],outDir='.',fnRoot=None)