Hello Michael,
I will do this by defining a an array of colors and then plot each bar
separately using a for loop
U can assign a color to the bar with the facecolor keyword.
U can use your code with a slight modifications
from pylab import *
data = [37.92, 29.72, 13.09, 7.40, 2.80, 2.07]
x = arange(len(data))
ax = subplot(111)
fcarray = ['red','blue','green','black','cyan','magenta'] # this is the array
of colors u give
for i in range(len(x)):
bar(x[i],data[i],fc=fcarray[i])
xticks( x + 0.5, ("Windows\nXP", "Windows\n7", "Windows\nVista"
"MacOS X", "iOS", "Linux") )
title("Usage share of web client operating systems: May 2011"
ylabel("Percent Usage")
savefig('barplot.png',format='png')
Regards
Bhargav
On Aug 3, 2011, at 2:45 PM, Michael Klitgaard wrote:
> Hello,
>
> I really like Python and Matplotlib, and recommend it to all my colleagues.
>
> I have found this plot:
>
> http://en.wikipedia.org/wiki/File:Operating_system_usage_share.svg
>
> I think it looks good, it is made in R. The code looks clean, not many
> settings etc.
> I wanted to see if I could make a similar plot in Matplotlib.
>
> So far, this is what I got:
>
> from pylab import *
>
> data = [37.92, 29.72, 13.09, 7.40, 2.80, 2.07]
> x = arange(len(data))
> ax = subplot(111)
> bar(x, data)
> xticks( x + 0.5, ("Windows\nXP", "Windows\n7", "Windows\nVista",
> "MacOS X", "iOS", "Linux") )
> title("Usage share of web client operating systems: May 2011")
> ylabel("Percent Usage")
>
> savefig('barplot.png',format='png')
>
> I have stolen most of the code from an example:
> http://matplotlib.sourceforge.net/examples/pylab_examples/custom_ticker1.html
>
> I havent figured out how to color the bars differently, does anybody
> know how to do this?
>
>
> Sincerely
> Michael
>
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