matplotlib-users Mailing List for matplotlib

On Wed, Aug 3, 2011 at 3:50 AM, Jakob123 <jak...@is...>wrote:

>
> Hej there!
> I am using PyPlot to draw onto a Tkinter GUI (in Python 2.6). Works fine,
> but when I close the window (root.destroy()) PyPlot apparently crashes with
> the error message "Fatal Python error: PyEval_RestoreThread: NULL tstate"
> (error 0x40000015). All I found was
> http://groups.google.com/group/comp.lang.python/msg/8e6bbae27a99f6d3 this
> but it didnt help, I am using matplotlib 1.0.0.
>
> Some pointers would be great, I am still a rookie when it comes to
> programming...
>
> Thanks in advance /Jakob
>
>
Jakob,

A little while back, we put out an important v1.0.1 release that addressed
many issues with the various backends.  While I don't remember all of the
bugs it fixed, it may have fixed that one.  I would suggest installing that
version and seeing if it work for you.

Ben Root

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?

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

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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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

Hej there!
I am using PyPlot to draw onto a Tkinter GUI (in Python 2.6). Works fine,
but when I close the window (root.destroy()) PyPlot apparently crashes with
the error message "Fatal Python error: PyEval_RestoreThread: NULL tstate"
(error 0x40000015). All I found was 
http://groups.google.com/group/comp.lang.python/msg/8e6bbae27a99f6d3 this 
but it didnt help, I am using matplotlib 1.0.0.

Some pointers would be great, I am still a rookie when it comes to
programming...

Thanks in advance /Jakob

-- 
View this message in context: http://old.nabble.com/PyPlot-crashes-upon-closing-tp32184426p32184426.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On Sun, Jul 31, 2011 at 10:19 AM, Fernando Perez <fpe...@gm...> wrote:

> Please see our release notes for the full details on everything about
> this release: https://github.com/ipython/ipython/zipball/rel-0.11

And embarrassingly, that URL was for a zip download instead
(copy/paste error), the detailed release notes are here:

http://ipython.org/ipython-doc/rel-0.11/whatsnew/version0.11.html

Sorry about the mistake...

Cheers,

f