thanks Eric! Could you provide me with an executive summary as to
pcolorfast vs imshow? Is it essentially a matter of speed?
Also, I tried to add a colorbar but failed. What is the correct invocation?
thanks a gain,
Johann
Eric Firing wrote:
> 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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