Jae-Joon Lee wrote:
> I don't think there is any user-visible support for registering a
> custom colormap.
I have it almost done; I will commit it shortly.
Eric
> However, it seems to me that adding the colormap to
> matplotlib.cm.datad distionary is enough.
> Note that the value need to be a dictionary of RGB specification, not
> the actual colormap instance.
(I will have a more general solution than this.)
>
> for example,
>
> mycolormap = {'blue': ((0.0, 0.40000000000000002, 0.40000000000000002),
> (1.0, 0.40000000000000002, 0.40000000000000002)),
> 'green': ((0.0, 0.5, 0.5), (1.0, 1.0, 1.0)),
> 'red': ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0))}
>
> matplotlib.cm.datad["mycolormap"] = mycolormap
> rcParams["image.cmap"]="mycolormap"
>
> Having a function (like jet in pylab) would not be also difficult.
> Take a look at the definition of "jet" function (for example) in the
> pylab.py.
>
> We may be better to have a proper way to register a custom colormap.
> I'll try to take a more look later, but any patch will be appreciated.
>
> Regards,
>
> -JJ
>
>
>
> On Thu, Jul 30, 2009 at 3:48 AM, Philipp
> Lies<philipp.l...@googlemail.com> wrote:
>> Does no one have an idea? If not, this is a severe usability bug!
>>
>> Philipp Lies wrote:
>>> Hi,
>>>
>>> I just created a hsv-like color map with gray levels only, now I'd like to
>>> use this as default color map. But how? Calling it like hsv() does not
>>> work and I did not find a hint in the documentation how to set a user
>>> defined color map interactively as default color map.
>>>
>>> Cheers
>>>
>>> Philipp
>>>
>> --
>> View this message in context:
>> http://www.nabble.com/setting-user-defined-color-map-as-default-tp24587528p24733739.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
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