Re: [Matplotlib-users] PyPlot crashes upon closing

2011-08-03 Thread Benjamin Root
On Wed, Aug 3, 2011 at 3:50 AM, Jakob123 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" > (er

[Matplotlib-users] PyPlot crashes upon closing

2011-08-03 Thread Jakob123
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 0x4015). All I found was http://groups.google.com/g

Re: [Matplotlib-users] Trying to reproduce R plot

2011-08-03 Thread Fabrice Silva
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 i

Re: [Matplotlib-users] Trying to reproduce R plot

2011-08-03 Thread bhargav vaidya
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 = ar

[Matplotlib-users] Trying to reproduce R plot

2011-08-03 Thread Michael Klitgaard
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 si

Re: [Matplotlib-users] [ANN] IPython 0.11 is officially out

2011-08-03 Thread Fernando Perez
On Sun, Jul 31, 2011 at 10:19 AM, Fernando Perez 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