Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-12 Thread C M
On Thu, May 12, 2011 at 2:50 PM, Michael Droettboom wrote: > On 05/12/2011 02:34 PM, C M wrote: >> >> On Thu, May 12, 2011 at 1:26 PM, Michael Droettboom >>  wrote: >> >>> >>> You can always get a tarball of the current git master by going here: >>> >>> https://github.com/matplotlib/matplotlib >>>

Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-12 Thread Michael Droettboom
On 05/12/2011 02:34 PM, C M wrote: > On Thu, May 12, 2011 at 1:26 PM, Michael Droettboom wrote: > >> You can always get a tarball of the current git master by going here: >> >> https://github.com/matplotlib/matplotlib >> >> clicking on "Download" and choosing one of the "download source" optio

Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-12 Thread C M
On Thu, May 12, 2011 at 1:26 PM, Michael Droettboom wrote: > You can always get a tarball of the current git master by going here: > > https://github.com/matplotlib/matplotlib > > clicking on "Download" and choosing one of the "download source" options > at the top of the popup box. > > Mike Than

Re: [Matplotlib-users] Drawing on plots

2011-05-12 Thread Soumyaroop Roy
I see. Thanks, Ben. -Soumyaroop On Thu, May 12, 2011 at 10:32 AM, Benjamin Root wrote: > On Thursday, May 12, 2011, Soumyaroop Roy wrote: >> Here's a short follow up question: >> Is there a concept of erasing in matplotlib? If I were to erase an >> axvline that I drew earlier, how would I do th

Re: [Matplotlib-users] another incorrectly clipped PNG in the gallery

2011-05-12 Thread Michael Droettboom
You can always get a tarball of the current git master by going here: https://github.com/matplotlib/matplotlib clicking on "Download" and choosing one of the "download source" options at the top of the popup box. Mike On 05/11/2011 11:07 AM, C M wrote: > On Wed, May 11, 2011 at 11:07 AM, C M

Re: [Matplotlib-users] Drawing on plots

2011-05-12 Thread Benjamin Root
On Thursday, May 12, 2011, Soumyaroop Roy wrote: > Here's a short follow up question: > Is there a concept of erasing in matplotlib? If I were to erase an > axvline that I drew earlier, how would I do that? Can you use del to > delete the object and then force a redraw? > > -Soumyaroop > > On Mon,

Re: [Matplotlib-users] eps output and fill_between

2011-05-12 Thread Johannes Radinger
Hello again, I tried the script you provided to test the PolyCollection and that works fine. I am working under Mac OS X 10.6.6 Snow Leopard and use matplotlib 1.0.1. That is the script where I fail with eps but not with pdf: import matplotlib.pyplot as plt import numpy from scipy import stats

Re: [Matplotlib-users] Drawing on plots

2011-05-12 Thread Soumyaroop Roy
Here's a short follow up question: Is there a concept of erasing in matplotlib? If I were to erase an axvline that I drew earlier, how would I do that? Can you use del to delete the object and then force a redraw? -Soumyaroop On Mon, May 2, 2011 at 11:35 AM, Soumyaroop Roy wrote: > Thanks Justin

Re: [Matplotlib-users] eps output and fill_between

2011-05-12 Thread John Hunter
On Thu, May 12, 2011 at 3:42 AM, Johannes Radinger wrote: > Hello , > > sofar I know how to safe a plot into a *.eps file and it works good, > but there is one issue with filled areas between two functions. > > When I try to use: > plt.fill_between(x, pdf_min, pdf_max, color='0.85') > > and I try

[Matplotlib-users] Creating non linear colorbar Colorbar

2011-05-12 Thread _olivier_
Hello, I am trying to generate on the fly a non linear rainbow colorbar as in picture Colorbar below. I use a slider to automatically modify the aspect of the colorbar (see code below). This works fine except that I want to have a different behaviour of the colorbar when moving the slider: My wi

[Matplotlib-users] eps output and fill_between

2011-05-12 Thread Johannes Radinger
Hello , sofar I know how to safe a plot into a *.eps file and it works good, but there is one issue with filled areas between two functions. When I try to use: plt.fill_between(x, pdf_min, pdf_max, color='0.85') and I try to open it on my mac I fail. So far as I know is the mac converting the ep