[SciPy-Dev] 2D histogram: request for plotting variable bin size
Tue Mar 26 05:15:02 CDT 2013
And how can I add or update images of the numpy doc (e.g. at
Meanwhile I have created an example for histograms with variable bin
and would like to add this to the numpy doc, too. Therefore I need to
replace the image.
On 02.02.2013 21:52, Sturla Molden wrote:
> That is not how it works.
> If you have a suggestion for changing the NumPy (including docs) you
> fork NumPy on GitHub.com and post a pull-request with your changes. And
> that would be after asking on the NumPy list (not on scipy-dev!).
> They might also want you to open an issue on their GitHub tracker.
> All users on scipy.org should be able to update the cookbook. At least
> that it how it worked before. If you want to create a new page on the
> wiki you just navigate to it with your browser.
> On 02.02.2013 20:59, Frank Breitling wrote:
>> So I registered an account, but I have to request write permission by
>> email to email@example.com first.
>> So could somebody give me write permission to the page
>> and maybe also to http://www.scipy.org/Cookbook/Matplotlib ?
>> Or otherwise could somebody add the example below for me?
>> import numpy as np, matplotlib.pyplot as plt
>> x = np.random.normal(3, 2, 1000)
>> y = np.random.normal(3, 1, 1000)
>> H, yedges, xedges = np.histogram2d(y,x, bins=(yedges,xedges))
>> extent = [xedges, xedges[-1], yedges[-1], yedges]
>> #If bin size is equal imshow can be used. It is fast and provides
>> #plt.imshow(H, extent=extent, interpolation='None',
>> #To display variable bin size pcolar can be used
>> X,Y = np.meshgrid(xedges, yedges)
>> plt.pcolor(X, Y,
>> #If interpolation is needed in addition matplotlib provides the
>> On 2013-02-02 16:44, Sturla Molden wrote:
>>> On 02.02.2013 10:53, Frank Breitling wrote:
>>>> From the matplotlib developers it was pointed out, that there is a
>>>> NonUniformImage which might be suite for representing interpolated
>>>> variable bin size 2D histograms
>>>> There even exists an example
>>>> but it is very isolated and therefore not well known.
>>>> It would be very useful to explain its usage or at least link to it in
>>>> the histogram2d example at
>>>> In addition a pcolor example (attached below) shouldn't be missing. Even
>>>> though it is slow and can't do interpolation, it can at least do a
>>>> correct representation for academic purposes.
>>>> Can anybody do that or would you like me to do that myself?
>>> Since it is at the top of your head, why don't you do it?
>>> But it might be better for the SciPy Cookbook's matplotlib section
>>> than the NumPy docs. I'm not sure if they want matplotlib examples in
>>> the NumPy documentation (ask on the NumPy list before you waste your
>>> time on it).
>>> SciPy-Dev mailing list
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