I think I'm lost.

>  In other words: the colorbar created
> by imshow should have the same values as the one created by contourf.

But, in your original post, your plotting two different image.
with contourf, you're drawing "omega*10000", but with imshow, you're
drawing "omega".
Are you saying that these two should have same colorbar, although
there is a factor 10000 difference?

And, as far as I know, colorbar shows values of the original input.

What is the min and max of omega, and what do you expect your colorbar show?
If possible, please post a complete example so that others can test.

Regards,

-JJ


>
> I am not sure how I can use vmin and vmax to achieve that effect. The
> scaling is done correctly, it's just that the colorbar should show the
> original, and not the rescaled values.
>
> Thanks,
> -Niko
>
>
> I did not try vmin and vmax, because
> On 04/26/2010 02:31 PM, Jae-Joon Lee wrote:
>> Did you try to change vmin, vmax?
>>
>> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.imshow
>>
>> If this is not what you want, please describe more explicitly why the
>> colorbar is wrong.
>>
>> Regards,
>>
>> -JJ
>>
>>
>> On Mon, Apr 26, 2010 at 11:37 AM, Nikolaus Rath <nikol...@rath.org> wrote:
>>> The problem with imshow is, that it rescales the data so the
>>> colorbar does not show the correct amplitudes (see
>>> www.rath.org/imshow.png):
>>>
>>>    ctr = ax.imshow(omega, cmap=cm.YlOrRd, aspect='equal', 
>>> interpolation='nearest',
>>>                    origin='lower', extent=(-(N-1)/2, (N-1)/2, 0, M-1))
>>>    fig.colorbar(ctr)
>>>    ax.set_xlim(xmin= -(N - 1) / 2, xmax=(N - 1) / 2)
>>>    ax.set_ylim(ymin=0, ymax=M - 1)
>>>    fig.show()
>>>
>>> Is there a way to get the proper amplitudes into the colorbar?
>
>
>   -Nikolaus
>
> --
>  »Time flies like an arrow, fruit flies like a Banana.«
>
>  PGP fingerprint: 5B93 61F8 4EA2 E279 ABF6  02CF A9AD B7F8 AE4E 425C
>

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