Johann Cohen-Tanugi wrote:
> thanks Johan,
> I posted to scipy because of histogram2d being in numpy, sorry about that.
> Now the stupid question, why can't imshow directly parse histogram2d,
> without the transitory extent object?
imshow is a general image display function; it would not make sense to
customize it to match histogram2d.
You may want to use Axes.pcolorfast instead. Example using ipython -pylab:
In [1]:import numpy as np
In [2]:x, y = np.random.randn(2, 100000)
In [3]:H, xedges, yedges = np.histogram2d(x, y, bins=50)
In [4]:fig = figure()
In [5]:ax = fig.add_subplot(111)
In [6]:ax.pcolorfast?
In [7]:ax.pcolorfast(xedges, yedges, H)
Out[7]:<matplotlib.image.AxesImage object at 0x8bf0ecc>
In [8]:draw()
Eric
> Anyway, I am happy that there is a simple way as explained below!
>
> thanks again,
> Johann
>
> John Hunter wrote:
>> On Fri, Sep 5, 2008 at 10:36 AM, Johann Cohen-Tanugi
>> <[EMAIL PROTECTED]> wrote:
>>
>>> hi, I hope someone can quickly point me to some doc.
>>> I can do imshow(histogram2d(x,y)[0]) but then I miss the x and y binning
>>> correct labels.
>>> If I do imshow(histogram2d(x,y)) I get:
>>> ERROR: An unexpected error occurred while tokenizing input
>>> The following traceback may be corrupted or invalid
>>> The error message is: ('EOF in multi-line statement', (115, 0))
>>>
>> matplotlib questions are best addressed to the matplotlib-users mailing list
>> at
>>
>> http://lists.sourceforge.net/mailman/listinfo/matplotlib-users
>>
>> histogram2d returns H, xedges and yedges. The first argument should
>> be passed to imshow, and the second two can be used to get the extents
>>
>> In [26]: x, y = np.random.randn(2, 100000)
>>
>> In [27]: H, xedges, yedges = np.histogram2d(x, y, bins=50)
>>
>> In [28]: extent = [xedges[0], xedges[-1], yedges[0], yedges[-1]]
>>
>> In [29]: imshow(H, extent=extent)
>> Out[29]: <matplotlib.image.AxesImage object at 0x9377bcc>
>>
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