matplotlib-users Mailing List for matplotlib

Ahh, the hashes were the problem!
Thanks for your help.
Julian
On Mon, Dec 21, 2015 at 8:45 AM, Benjamin Root <ben...@gm...> wrote:
> You can't use the hash symbol when doing colors as a hex in an rcfile. The
> rcfile parser is so simple that it treats it as a comment. Don't drop the
> quotes.
>
> Ben Root
>
> On Mon, Dec 21, 2015 at 12:51 AM, Thomas Caswell <tca...@gm...>
> wrote:
>
>> Not at a computer to test, but try dropping the quotes.
>>
>> On Sun, Dec 20, 2015, 20:56 Julian Irwin <jul...@gm...> wrote:
>>
>>> Hi,
>>>
>>> I'm trying to set my default color cycle in my matplotlibrc using
>>> axes.prop_cycle. The documentation (as far as I could find...) only gives
>>> examples like
>>>
>>> axes.prop_cycle : cycler('color', 'bgrcmyk')
>>>
>>>
>>> And then the comment below says, cryptically:
>>>
>>> # as list of string colorspecs:
>>> # single letter, long name, or
>>> # web-style hex
>>>
>>> But I have tried all sorts of variatns on:
>>>
>>> axes.prop_cycle : cycler('color', ['#e41a1c', '#377eb8', '#4daf4a', '#ff7f00', '#a65628', '#f781bf', '#999999', '#984ea3', '#ffff33'])
>>>
>>> But I always get an error upon importing matplotlib. Is there any doc on
>>> how to do this properly? Is this even supported?
>>>
>>> Thanks,
>>> Julian
>>>
>>> ------------------------------------------------------------------------------
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>
>>
>> ------------------------------------------------------------------------------
>>
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>

You can't use the hash symbol when doing colors as a hex in an rcfile. The
rcfile parser is so simple that it treats it as a comment. Don't drop the
quotes.
Ben Root
On Mon, Dec 21, 2015 at 12:51 AM, Thomas Caswell <tca...@gm...> wrote:
> Not at a computer to test, but try dropping the quotes.
>
> On Sun, Dec 20, 2015, 20:56 Julian Irwin <jul...@gm...> wrote:
>
>> Hi,
>>
>> I'm trying to set my default color cycle in my matplotlibrc using
>> axes.prop_cycle. The documentation (as far as I could find...) only gives
>> examples like
>>
>> axes.prop_cycle : cycler('color', 'bgrcmyk')
>>
>>
>> And then the comment below says, cryptically:
>>
>> # as list of string colorspecs:
>> # single letter, long name, or
>> # web-style hex
>>
>> But I have tried all sorts of variatns on:
>>
>> axes.prop_cycle : cycler('color', ['#e41a1c', '#377eb8', '#4daf4a', '#ff7f00', '#a65628', '#f781bf', '#999999', '#984ea3', '#ffff33'])
>>
>> But I always get an error upon importing matplotlib. Is there any doc on
>> how to do this properly? Is this even supported?
>>
>> Thanks,
>> Julian
>>
>> ------------------------------------------------------------------------------
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>
> ------------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Not at a computer to test, but try dropping the quotes.
On Sun, Dec 20, 2015, 20:56 Julian Irwin <jul...@gm...> wrote:
> Hi,
>
> I'm trying to set my default color cycle in my matplotlibrc using
> axes.prop_cycle. The documentation (as far as I could find...) only gives
> examples like
>
> axes.prop_cycle : cycler('color', 'bgrcmyk')
>
>
> And then the comment below says, cryptically:
>
> # as list of string colorspecs:
> # single letter, long name, or
> # web-style hex
>
> But I have tried all sorts of variatns on:
>
> axes.prop_cycle : cycler('color', ['#e41a1c', '#377eb8', '#4daf4a', '#ff7f00', '#a65628', '#f781bf', '#999999', '#984ea3', '#ffff33'])
>
> But I always get an error upon importing matplotlib. Is there any doc on
> how to do this properly? Is this even supported?
>
> Thanks,
> Julian
>
> ------------------------------------------------------------------------------
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi,
I'm trying to set my default color cycle in my matplotlibrc using
axes.prop_cycle. The documentation (as far as I could find...) only gives
examples like
axes.prop_cycle : cycler('color', 'bgrcmyk')
And then the comment below says, cryptically:
# as list of string colorspecs:
# single letter, long name, or
# web-style hex
But I have tried all sorts of variatns on:
axes.prop_cycle : cycler('color', ['#e41a1c', '#377eb8', '#4daf4a',
'#ff7f00', '#a65628', '#f781bf', '#999999', '#984ea3', '#ffff33'])
But I always get an error upon importing matplotlib. Is there any doc on
how to do this properly? Is this even supported?
Thanks,
Julian

You can use the warnings module from the Python standard Library.
import warnings
warnings.filterwarnings(action='ignore')
This will silence all Python warnings. The signature for
warnings.filterwarnings
<https://docs.python.org/2/library/warnings.html#the-warnings-filter> can
also be used to only suppress some warnings.
On Thu, Dec 17, 2015 at 10:40 AM, Virgil Stokes <vs...@it...> wrote:
I recently upgraded to vers. 1.5.0 and I am now getting some warning
> messages.
> For example:
>
> D:\Python27\lib\site-packages\matplotlib\backend_managers.py:62:
> UserWarning:
> Treat the new Tool classes introduced in v1.5 as experimental for now, the
> API
> will likely change in version 2.1 and perhaps the rcParam as well
> 'version 2.1 and perhaps the rcParam as well')
> D:\Python27\lib\site-packages\matplotlib\backend_tools.py:78: UserWarning:
> Treat
> the new Tool classes introduced in v1.5 as experimental for now, the API
> will
> likely change in version 2.1, and some tools might change name
> 'version 2.1, and some tools might change name')
>
> How can I keep these messages from being displayed (at least temporarily)?
>
> --V
>
>
>
> ------------------------------------------------------------------------------
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
​

I recently upgraded to vers. 1.5.0 and I am now getting some warning messages. 
For example:
D:\Python27\lib\site-packages\matplotlib\backend_managers.py:62: UserWarning: 
Treat the new Tool classes introduced in v1.5 as experimental for now, the API 
will likely change in version 2.1 and perhaps the rcParam as well
 'version 2.1 and perhaps the rcParam as well')
D:\Python27\lib\site-packages\matplotlib\backend_tools.py:78: UserWarning: Treat 
the new Tool classes introduced in v1.5 as experimental for now, the API will 
likely change in version 2.1, and some tools might change name
 'version 2.1, and some tools might change name')
How can I keep these messages from being displayed (at least temporarily)?
--V

Dear all matplotlib/basemap users,
I have made a plot like below using matplotib and basemap. The problem is
that I wan to add also parallel ticklabels for the circles higher than 40N.
Anybody knows how to achieve this? I checked the yticklabels for the map
axes but find it's not implemented as an original polar plot in matplotlib.
Thanks a lot in advance!
[image: Inline image 1]
-- 
please visit:
http://www.globalcarbonatlas.org/
***********************************************************************************
Chao YUE
postdoc at LSCE
CEA-Ormes des Merisiers, F-91191 GIF-SUR-YVETTE CEDEX
Tel: 33 1 69 08 41 87
************************************************************************************

Have you tried setting "useblit=False"? If that works, I wonder if we
accidentally broke something in the recent widget interactivity work...
Ben Root
On Fri, Dec 11, 2015 at 7:48 PM, Edward Richards <edw...@gm...>
wrote:
> I am selecting a region of a color plot with span selector, and I would
> like the selected region to stay highlighted. I found the span_stays flag,
> but the selection rectangle still disappears after I release the mouse.
>
> Any help is appreciated.
> Thanks,
> Ned
>
> My backend is 'TkAgg'
>
> I am running the script from python3.4 at the command line, my version is:
>
> Python 3.4.3 (default, Jun 19 2015, 05:46:30)
> [GCC 4.8.3 20140911 (Red Hat 4.8.3-9)] on linux
> Type "help", "copyright", "credits" or "license" for more information.
>
> >>> print(matplotlib.__version__)
> 1.5.0
>
> code example:
>
> import numpy as np
> import matplotlib.pyplot as plt
> from matplotlib.widgets import SpanSelector
>
> test_data = np.random.randn(1000, 1000)
> fig, ax = plt.subplots()
> ax.imshow(test_data)
>
> def selection(x1, x2):
> """This function isn't the point"""
> pass
>
> span = SpanSelector(ax, selection, 'horizontal', useblit=True,
> rectprops=dict(alpha=0.5, facecolor='red'),
> span_stays=True)
> plt.show()
>
>
>
> ------------------------------------------------------------------------------
> _______________________________________________
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> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

I am selecting a region of a color plot with span selector, and I would like the selected region to stay highlighted. I found the span_stays flag, but the selection rectangle still disappears after I release the mouse.
Any help is appreciated.
Thanks,
Ned
My backend is 'TkAgg'
I am running the script from python3.4 at the command line, my version is:
Python 3.4.3 (default, Jun 19 2015, 05:46:30)
[GCC 4.8.3 20140911 (Red Hat 4.8.3-9)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> print(matplotlib.__version__)
1.5.0
code example:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import SpanSelector
test_data = np.random.randn(1000, 1000)
fig, ax = plt.subplots()
ax.imshow(test_data)
def selection(x1, x2):
 """This function isn't the point"""
 pass
span = SpanSelector(ax, selection, 'horizontal', useblit=True,
 rectprops=dict(alpha=0.5, facecolor='red'), span_stays=True)
plt.show()