I\'m referring this link for generation of Pie Chart. In this the colors are pre-defined for each data, ie 10 colors for 10 data points. What if I have 11 data points and then t
I know it's kind of late to be answering, but in case someone else has the same problem, here is what worked for me:
At the start of the code you write:
from reportlab.lib.colors import HexColor
pdf_chart_colors = [
HexColor("#0000e5"),
HexColor("#1f1feb"),
HexColor("#5757f0"),
HexColor("#8f8ff5"),
HexColor("#c7c7fa"),
HexColor("#f5c2c2"),
HexColor("#eb8585"),
HexColor("#e04747"),
HexColor("#d60a0a"),
HexColor("#cc0000"),
HexColor("#ff0000"),
]
You can change the color codes to get any color you like, some examples: http://www.creativecolorschemes.com/resources/free-color-schemes/beautiful-color-scheme.shtml
And when generating the pie chart you only need to add two lines at the end:
def piechart(Values, Names):
d = Drawing(100, 125)
cht = Pie()
...
n = len(cht.data)
setItems(n,cht.slices,'fillColor',pdf_chart_colors)
Where setItems has been previously defined as:
def setItems(n, obj, attr, values):
m = len(values)
i = m // n
for j in xrange(n):
setattr(obj[j],attr,values[j*i % m])
Use this link (last pie chart example) for extra ereference: http://m.blog.csdn.net/blog/wdt3385/10142163
You can also provide from reportlab.lib.colors import Color
like:
Color(red=0, green=0, blue=1, alpha=1) # gives blue
Color(red=1, green=0, blue=0, alpha=1) # gives red
It's easier to manage those arguments than Hex's.
So you could provide a dynamicaly generated list of Color
instances. You could yield
an iterator that will generate your 'Catchy' colors. I don't think I can define your 'catchyness' for you better than your self :)