[Matplotlib-users] Re : matplotlibrc for [ieee] publications

Good Idea ! I'm also using mpl for other publications than ieee and it sounds like a small mplrc data base with targeted journal specifications would be worthwhile doing ! I would be ready to contribute. Cheers, Auré De : alex arsenovic À : matplotlib-users@

[Matplotlib-users] Re : alternative to imshow with polar axes ?

Really no one to point me in the right direction ? This is really important, I'm trying to wrap up a publication and this is the only element missing... De : Auré Gourrier À : matplotlib-users@lists.sourceforge.net Envoyé le : Jeu 10 mars 2011, 15h 40mi

[Matplotlib-users] Re : alternative to imshow with polar axes ?

ot À : Auré Gourrier Cc : matplotlib-users@lists.sourceforge.net Envoyé le : Jeu 10 mars 2011, 18h 43min 31s Objet : Re: [Matplotlib-users] alternative to imshow with polar axes ? On Thu, Mar 10, 2011 at 8:40 AM, Auré Gourrier wrote: Dear all, > >Once again, I turn for help. >I'

[Matplotlib-users] alternative to imshow with polar axes ?

Dear all, Once again, I turn for help. I'm trying to plot a polar image using colormap values for the theta values and increasing alpha values along the radius. I do this using imshow passing the rgba tuple at each pixel position which works very nicely with rectangular axes, but fails to displ

[Matplotlib-users] Re : Re: Little issue with blitting

Hi Laurent, I think I might have found a way to solve your problem: instead of creating your axes using pylab.suplot, you should create the axes using the class way. I modified your code below and it works fine without loosing speed in the frame rate. Only thing is, I have no clue as to what is

Re: [Matplotlib-users] [Solved] Little issue with blitting technique

>On Tue, Oct 13, 2009 at 5:06 PM, Laurent Dufr?chou > wrote: >> Hey, coparing on how GTK2 example is done I've seen a difference between the >> two! >> >> In QT4Agg example and WX example the code use: >> >> canvas.copy_from_bbox(ax.bbox) >> replacing all occurrence of ax.bbox with ax.get_figure(

[Matplotlib-users] Re : slow rendering of 2K images using Animation_blit_tk.py - bis

OK, thanks JJ, I just wanted to make sure I was not missing something. I guess I'll have to check how it goes once rebinned. Cheers, Auré De : Jae-Joon Lee À : Auré Gourrier Cc : matplotlib-users@lists.sourceforge.net Envoyé le : Lundi, 7 Septembre

[Matplotlib-users] slow rendering of 2K images using Animation_blit_tk.py - bis

Dear all, I recently cried for help (see below) but sadly didn't get any answer... This problem is really a bottleneck for me and if I must find a solution... Can anyone PLEASE point me in the right direction ? I recently bumped into a problem while trying to display imshow images (204

Re: [Matplotlib-users] contour lines not hidden by patches

> The patches hide the contourf correctly, as expected, but not the > contour lines... Sounds like a zorder problem: http://matplotlib.sourceforge.net/examples/pylab_examples/zorder_demo.html -- Jouni K.. Sepp?nen I'd missed that point... Thanks, it's working fine now ! Cheers, Aure

[Matplotlib-users] contour lines not hidden by patches

Can't figure this out: I create a figure, add some axes, define data to be plotted as a contourf + contour on top and then add some patches to hide some regions of my plot. The patches hide the contourf correctly, as expected, but not the contour lines... Could someone telle me whether I'm doing

[Matplotlib-users] slow rendering of 2K arrays using imshow in Animation_blit_tk.py

Hi all, I recently bumped into a problem while trying to display imshow images (2048x2048 pix) in a GUI based on TkAgg (matplotib0.91.2, python 2..4.4, numpy1.0.4). In brief, building the image with imshow is Ok, but the call to show() or draw() takes about 1.2 s on my system (XP, 2.8Ghz, 2Go r

[Matplotlib-users] best way to display an imshow() with the correct shape ?

Dear all, I've been trying to plot a 'pixel' image of data contained in an array with a given shape. The imshow() func is perfect for this however, the image is usually displayed with margins within a figure. I tried to get rid of this margin to get the axes in full view. However, I never prope

[Matplotlib-users] Re : Matplotlib-users Digest, Vol 21, Issue 36

>Date: Fri, 22 Feb 2008 08:15:34 -0600 >From: "John Hunter" <[EMAIL PROTECTED]> >Subject: Re: [Matplotlib-users] What is the proper way to set y tick > labelsfor a histogram ? >To: " Aur? Gourrier " <[EMAIL PROTECTED]> >Cc: matplotlib-users@lists.sourceforge.net >Message-ID: > <[EMAIL PRO

[Matplotlib-users] Re : plot a histogram of relative percentage of data

book.silent_list('Patch', patches) - Message d'origine De : Bernhard Voigt <[EMAIL PROTECTED]> À : Auré Gourrier <[EMAIL PROTECTED]> Cc : matplotlib-users@lists.sourceforge.net Envoyé le : Dimanche, 24 Février 2008, 19h10mn 47s Objet : Re: [Matplotlib-users] p

[Matplotlib-users] plot a histogram of relative percentage of data

Hi all, In my latest post, I wanted to use the mpl.hist() function in a different way, i.e.: x = datalist bins= 100 hist(x,bins,normed=0) #returns a tupple (n,bins,patches) Instead of ploting the number of counts n, I wanted to plot the relative percentage of counts, i.e. n/len(x). I can't

[Matplotlib-users] What is the proper way to set y tick labels for a histogram ?

Hi all, I'm plotting the histogram of a data set: x = datalist bins= 100 hist(x,bins,normed=0) #returns a tupple (n,bins,patches) Rather trivial... but instead of the plotting the counts n, I'd like to plot the realtive percentage counts, i.e. n/len(x). I can't really use the option normed

[Matplotlib-users] merging two axes from two different figures (Tk canvas) into one

Dear all, I wrote an application allowing to display an imshow image in one part of a Tk GUI and the corresponding colorbar in another part. This allows me to work on the image with more freedom. My problem is then to save the result which implies getting the 2 axes into another figure. I've be