#!/usr/bin/python
from pychartdir import *
#The data for the pie chart
data = [28, 45, 5, 1, 12]
#The labels for the pie chart
labels = ["Excellent", "Good", "Bad", "Very Bad", "Neutral"]
#The icons for the sectors
icons = ["laugh.png", "smile.png", "sad.png", "angry.png", "nocomment.png"]
#Create a PieChart object of size 560 x 300 pixels, using 0xe0e0ff as the
#background color, 0xccccff as the border color, with 1 pixel 3D border effect
c = PieChart(560, 300, 0xe0e0ff, 0xccccff, 1)
#Set the center of the pie at (280, 140) and the radius to 100 pixels
c.setPieSize(280, 140, 120)
#Add a title box with title written in CDML
c.addTitle(
"<*block,valign=absmiddle*><*img=doc.png*><*font=timesbi.ttf,size=15*> " \
"Customer Survey : <*font=timesi.ttf*>Do you like our " \
"<*block,valign=top*><*font=mtcorsva.ttf,color=dd0000,size=17*>Hyper" \
"<*block*><*font=arial.ttf,size=8*> TM<*/*><*/*> molecules?<*/*>"
).setBackground(0xccccff)
#Add a logo to the chart written in CDML as the bottom title aligned to the
#bottom right
c.addTitle2(BottomRight,
"<*block,valign=absmiddle*><*img=molecule.png*> <*block*><*color=FF*>" \
"<*font=mtcorsva.ttf,size=15*>Molecular Engineering\n" \
"<*font=verdana.ttf,size=9*>Creating better molecules<*/*>")
#Set the pie data and the pie labels
c.setData(data, labels)
#Set 3D style
c.set3D()
#Use the side label layout method
c.setLabelLayout(SideLayout)
#Set the label background color to transparent
c.setLabelStyle().setBackground(Transparent)
#Set the join line color to black
c.setJoinLine(0)
#Add icons to the chart as a custom field
c.addExtraField(icons)
#Configure the sector labels using CDML to include the icon images
c.setLabelFormat(
"<*block,valign=absmiddle*><*img={field0}*> {label} ({percent|0}%)")
#Explode the 3rd and 4th sectors as a group (index = 2 and 3)
c.setExplodeGroup(2, 3)
#Set the start angle to 135 degrees may improve layout when there are many small
#sectors at the end of the data array (that is, data sorted in descending
#order). It is because this makes the small sectors position near the horizontal
#axis, where the text label has the least tendency to overlap. For data sorted
#in ascending order, a start angle of 45 degrees can be used instead.
c.setStartAngle(135)
#output the chart
c.makeChart("iconpie2.png")
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