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
···
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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.
I don't think there is any user-visible support for registering a
custom colormap.
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.
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.lies@...982...> 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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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.lies@...982...> 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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Jae-Joon Lee wrote:
I don't think there is any user-visible support for registering a
custom colormap.
Now there is: svn r7309. Its use is illustrated via a modification of examples/pylab_examples/custom_cmap.py.
With just a little more work, we could make it so that anything taking a "cmap" kwarg will accept either a Colormap instance or the name of a registered instance (including builtins). Maybe I will do that later today.
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.
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.lies@...982...> 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
--
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Jae-Joon Lee wrote:
> I don't think there is any user-visible support for registering a
> custom colormap.
Now there is: svn r7309. Its use is illustrated via a modification of
examples/pylab_examples/custom_cmap.py.
Awesome, works just as I need it! Keep up the good work!
Now I'm one step closer to abandoning matlab
Philipp
···
On Thu, 30 Jul 2009 09:41:43 -1000 Eric Firing <efiring@...202...> wrote:
With just a little more work, we could make it so that anything taking a
"cmap" kwarg will accept either a Colormap instance or the name of a
registered instance (including builtins). Maybe I will do that later today.
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.
>
> 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.lies@...982...> 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.
>>
>>
>> ------------------------------------------------------------------------------
>> Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day
>> trial. Simplify your report design, integration and deployment - and focus on
>> what you do best, core application coding. Discover what's new with
>> Crystal Reports now. http://p.sf.net/sfu/bobj-july
>> _______________________________________________
>> Matplotlib-users mailing list
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>>
>
> ------------------------------------------------------------------------------
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> trial. Simplify your report design, integration and deployment - and focus on
> what you do best, core application coding. Discover what's new with
> Crystal Reports now. http://p.sf.net/sfu/bobj-july
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--
Philipp Lies
Max Planck Institute for Biological Cybernetics
Computational Vision & Neuroscience Group
Spemannstr. 41
D-72076 Tuebingen
Germany
Phone: +49-7071-601-1788
Fax: +49-7071-601-552
E-Mail: philipp.lies@...368...
http://www.kyb.mpg.de/bethgegroup