I'd agree as then it would work as pcolormesh or imshow does which when
passed in the same norm will only set vmin or vmax that wasn't previously
set.
Assume this would be a really easy fix but I can have a look at submitting
a patch if someone else isn't going to do so just let me know.
Cheers,
Jeff
On Mon, Jul 30, 2012 at 2:31 AM, Eric Firing <efir...@hawaii.edu> wrote:
> On 2012/07/29 5:13 AM, Jeffrey Spencer wrote:
>
>> Eric,
>>
>> Normalize appears to be working correctly and as you stated above but
>> when passed into contourf appears to have inconsistent results not
>> following the docstring by allowing the value to change.
>>
>> Quick examples:
>>
>> X, Y = meshgrid(arange(20),arange(20)**)
>> Z = arange(20*20)
>> Z = Z.reshape(20,20)
>> norm = colors.Normalize(vmin=200,**vmax=None)
>> print norm.vmin
>> fig = figure(10)
>> ax = fig.add_subplot(111)
>> surf = ax.contourf(X,Y,Z, 100, cmap=matplotlib.cm.jet, norm = norm)
>>
>> This vmin has no effect where if you pass in:
>>
>> X, Y = meshgrid(arange(20),arange(20)**)
>> Z = arange(20*20)
>> Z = Z.reshape(20,20)
>> norm = colors.Normalize(vmin=200,**vmax=Z.max())
>> print norm.vmin
>> fig = figure(10)
>> ax = fig.add_subplot(111)
>> surf = ax.contourf(X,Y,Z, 100, cmap=matplotlib.cm.jet, norm = norm)
>>
>> it has the desired effect.
>>
>> Let me know if this is correct or I'm missing something here.
>>
>> Cheers,
>> Jeff
>>
>
> You are correct. Contour and contourf are respecting vmin, vmax that have
> been set in the norm only if both have been set, so that it is fully
> scaled. I think that changing this to respect a single preset vmin or vmax
> would be reasonable.
>
> Eric
>
>
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