[SciPy-Dev] 2D histogram: request for plotting variable bin size

Wed Mar 27 06:14:22 EDT 2013

Thanks Ralf,

So is there no simple way to test changes before the commit?

Frank

On 26.03.2013 19:33, Ralf Gommers wrote:
>
> On Tue, Mar 26, 2013 at 11:15 AM, Frank Breitling <fbreitling at aip.de 
> <mailto:fbreitling at aip.de>> wrote:
>
>     Hi,
>
>     And how can I add or update images of the numpy doc (e.g. at
>     http://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram2d.html)?
>
>
> That's created by the example code in the histogram2d docstring. So 
> you can add an example in that docstring in your own numpy git repo, 
> then send a PR with that change on Github.
>
> Ralf
>
>     Meanwhile I have created an example for histograms with variable bin
>     size at
>     http://www.scipy.org/Cookbook/Histograms
>     and would like to add this to the numpy doc, too. Therefore I need to
>     replace the image.
>
>     Frank
>
>
>     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 <http://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.
>     >
>     > Sturla
>     >
>     >
>     > On 02.02.2013 20:59, Frank Breitling wrote:
>     >> Hi,
>     >>
>     >> So I registered an account, but I have to request write
>     permission by
>     >> email to scipy-dev at scipy.org <mailto:scipy-dev at scipy.org> first.
>     >> So could somebody give me write permission to the page
>     >>
>     http://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram2d.html
>     >> and maybe also to http://www.scipy.org/Cookbook/Matplotlib ?
>     >>
>     >> Or otherwise could somebody add the example below for me?
>     >>
>     >> Frank
>     >>
>     >> ---
>     >> import numpy as np, matplotlib.pyplot as plt
>     >>
>     >> x = np.random.normal(3, 2, 1000)
>     >> y = np.random.normal(3, 1, 1000)
>     >>
>     >> yedges=xedges=[0,2,3,4,6]
>     >>
>     >> H, yedges, xedges = np.histogram2d(y,x, bins=(yedges,xedges))
>     >> extent = [xedges[0], xedges[-1], yedges[-1], yedges[0]]
>     >>
>     >> #If bin size is equal imshow can be used. It is fast and provides
>     >> interpolation.
>     >> #plt.imshow(H, extent=extent, interpolation='None',
>     >> aspect='auto')
>     >>
>     >> #To display variable bin size pcolar can be used
>     >> X,Y = np.meshgrid(xedges, yedges)
>     >> plt.pcolor(X, Y,
>     >> H)
>     >>
>     >> #If interpolation is needed in addition matplotlib provides the
>     >> NonUniformImage:
>     >>
>     #http://matplotlib.org/examples/pylab_examples/image_nonuniform.html
>     >>
>     >> plt.colorbar()
>     >> plt.show()
>     >>
>     >>
>     >>
>     >> On 2013-02-02 16:44, Sturla Molden wrote:
>     >>> On 02.02.2013 10:53, Frank Breitling wrote:
>     >>>> Hi,
>     >>>>
>     >>>>     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
>     >>>>
>     (https://github.com/matplotlib/matplotlib/issues/1729#issuecomment-13014723).
>     >>>> There even exists an example
>     >>>>
>     (http://matplotlib.org/examples/pylab_examples/image_nonuniform.html)
>     >>>> 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
>     >>>>
>     http://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram2d.html.
>     >>>>
>     >>>> 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?
>     >>>>
>     >>>> Frank
>     >>> 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).
>     >>>
>     >>>
>     >>> http://www.scipy.org/Cookbook/Matplotlib
>     >>>
>     >>>
>     >>>
>     >>> Sturla
>     >>>
>     >>>
>     >>> _______________________________________________
>     >>> SciPy-Dev mailing list
>     >>> SciPy-Dev at scipy.org <mailto:SciPy-Dev at scipy.org>
>     >>> http://mail.scipy.org/mailman/listinfo/scipy-dev
>     >>>
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