[SciPy-Dev] 2D histogram: request for plotting variable bin size
Ralf Gommers
ralf.gommers@gmail....
Tue Mar 26 13:33:52 CDT 2013
On Tue, Mar 26, 2013 at 11:15 AM, Frank Breitling <fbreitling@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 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@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@scipy.org
> >>> http://mail.scipy.org/mailman/listinfo/scipy-dev
> >>>
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