Trying to reproduce R plot

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

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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bar returns a list of patches

lPatches = bar(x, data)
N = len(lPatches)
lColors = cm.jet(range(N)*256./N)
# or lColors = ['r', 'b', 'y', ... ]

for ind,el in enumerate(lPatches):
  el.set_color(lColors)
  # or set_edgecolor or set_facecolor

···

Le mercredi 03 août 2011 à 14:45 +0200, Michael Klitgaard a écrit :

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?