matplotlib-users Mailing List for matplotlib

Hello, 
I was currently looking into the new plot directive Sphinx extension that comes with matplotlib. 
My purpose is to use it for documentation of examples for my source code. 
However, I wish to just have html figure links only to PNG and Hires PNG files 
and no link for the PDF files. 
I looked into the plot_directive.py and saw that the plot_formats are set to have default value of 
[‘png’, ‘hires.png’, ‘pdf’] which can not be configured , at least I was not able to do the same. 
Can any one suggest if I can choose the plot formats whose link I would like to show when 
I use the plot directive Sphinx Extension. 
Are there any plans to make the "plot formats" configurable ?
Regards
Bhargav. 

https://github.com/matplotlib/matplotlib/issues/3562
On Wed, Sep 24, 2014 at 6:17 PM, Adam Hughes <hug...@gm...> wrote:
> Agreed. I will do so, thanks. If you are able to figure it out, I would
> be super grateful. I must have spend 5 hours beating my head over this...
>
> I'll fill it out tonight.
>
> On Wed, Sep 24, 2014 at 9:07 PM, Benjamin Root <ben...@ou...> wrote:
>
>> I always wonder why people go through such lengths to implement such
>> features, but never bother to offer them back into the mainline code or at
>> least suggest such a feature. Think you could make a feature request for
>> this on github? I bet I could figure out how to integrate it into the mesh
>> code without the need for any hacks if I spend a free moment on it.
>>
>> Ben Root
>>
>> On Wed, Sep 24, 2014 at 8:43 PM, Adam Hughes <hug...@gm...>
>> wrote:
>>
>>> Hi,
>>>
>>> I'm following up on an answered stack overflow thread:
>>>
>>>
>>> http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556
>>>
>>> They show how to create a colormap for a wireframe plot. I noticed that
>>> this solution fails when the X and Y data are not the same shape. This
>>> inherently comes down to _segments3d being a 3 dimensional array when X, Y
>>> are the same dimension, but a 1D array when X,Y are different dimensions.
>>>
>>> So for example, a set of 10 curves, each with 100 points would have the
>>> dimensions:
>>>
>>> X ---> 10
>>> Y ---> 100
>>> Z ----> 10 x 100
>>>
>>> I've tried hacking on this all day and just can't get a solution to
>>> bypass the numpy ravels() and rolls()!
>>>
>>> Any ideas?
>>>
>>> Thanks
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
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>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>

Agreed. I will do so, thanks. If you are able to figure it out, I would
be super grateful. I must have spend 5 hours beating my head over this...
I'll fill it out tonight.
On Wed, Sep 24, 2014 at 9:07 PM, Benjamin Root <ben...@ou...> wrote:
> I always wonder why people go through such lengths to implement such
> features, but never bother to offer them back into the mainline code or at
> least suggest such a feature. Think you could make a feature request for
> this on github? I bet I could figure out how to integrate it into the mesh
> code without the need for any hacks if I spend a free moment on it.
>
> Ben Root
>
> On Wed, Sep 24, 2014 at 8:43 PM, Adam Hughes <hug...@gm...>
> wrote:
>
>> Hi,
>>
>> I'm following up on an answered stack overflow thread:
>>
>>
>> http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556
>>
>> They show how to create a colormap for a wireframe plot. I noticed that
>> this solution fails when the X and Y data are not the same shape. This
>> inherently comes down to _segments3d being a 3 dimensional array when X, Y
>> are the same dimension, but a 1D array when X,Y are different dimensions.
>>
>> So for example, a set of 10 curves, each with 100 points would have the
>> dimensions:
>>
>> X ---> 10
>> Y ---> 100
>> Z ----> 10 x 100
>>
>> I've tried hacking on this all day and just can't get a solution to
>> bypass the numpy ravels() and rolls()!
>>
>> Any ideas?
>>
>> Thanks
>>
>>
>> ------------------------------------------------------------------------------
>> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
>> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
>> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
>> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>

Awesome, thanks!
On Wed, Sep 24, 2014 at 9:12 PM, Benjamin Root <ben...@ou...> wrote:
> Could always ask it its name:
>
> >>> import matplotlib.pyplot as plt
> >>> from mpl_toolkits.mplot3d import Axes3D
> >>> fig, ax = plt.subplots(1, 1, subplot_kw=dict(projection='3d'))
> >>> ax.name
> '3d'
>
>
> You can do this with any axes type, such as polar axes and such.
>
> Cheers!
> Ben Root
>
>
> On Tue, Sep 23, 2014 at 3:26 PM, Adam Hughes <hug...@gm...>
> wrote:
>
>> Hello,
>>
>> Is it possible to inspect an AxesSubplot object and infer if it is using
>> a 3d projection or not? Couldn't figure it out directly from the API.
>>
>> Thanks
>>
>>
>> ------------------------------------------------------------------------------
>> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
>> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
>> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
>> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>

Could always ask it its name:
>>> import matplotlib.pyplot as plt
>>> from mpl_toolkits.mplot3d import Axes3D
>>> fig, ax = plt.subplots(1, 1, subplot_kw=dict(projection='3d'))
>>> ax.name
'3d'
You can do this with any axes type, such as polar axes and such.
Cheers!
Ben Root
On Tue, Sep 23, 2014 at 3:26 PM, Adam Hughes <hug...@gm...> wrote:
> Hello,
>
> Is it possible to inspect an AxesSubplot object and infer if it is using a
> 3d projection or not? Couldn't figure it out directly from the API.
>
> Thanks
>
>
> ------------------------------------------------------------------------------
> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>
> http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

I always wonder why people go through such lengths to implement such
features, but never bother to offer them back into the mainline code or at
least suggest such a feature. Think you could make a feature request for
this on github? I bet I could figure out how to integrate it into the mesh
code without the need for any hacks if I spend a free moment on it.
Ben Root
On Wed, Sep 24, 2014 at 8:43 PM, Adam Hughes <hug...@gm...> wrote:
> Hi,
>
> I'm following up on an answered stack overflow thread:
>
>
> http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556
>
> They show how to create a colormap for a wireframe plot. I noticed that
> this solution fails when the X and Y data are not the same shape. This
> inherently comes down to _segments3d being a 3 dimensional array when X, Y
> are the same dimension, but a 1D array when X,Y are different dimensions.
>
> So for example, a set of 10 curves, each with 100 points would have the
> dimensions:
>
> X ---> 10
> Y ---> 100
> Z ----> 10 x 100
>
> I've tried hacking on this all day and just can't get a solution to bypass
> the numpy ravels() and rolls()!
>
> Any ideas?
>
> Thanks
>
>
> ------------------------------------------------------------------------------
> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>
> http://pubads.g.doubleclick.net/gampad/clk?id=154622311&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hi,
I'm following up on an answered stack overflow thread:
http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556
They show how to create a colormap for a wireframe plot. I noticed that
this solution fails when the X and Y data are not the same shape. This
inherently comes down to _segments3d being a 3 dimensional array when X, Y
are the same dimension, but a 1D array when X,Y are different dimensions.
So for example, a set of 10 curves, each with 100 points would have the
dimensions:
X ---> 10
Y ---> 100
Z ----> 10 x 100
I've tried hacking on this all day and just can't get a solution to bypass
the numpy ravels() and rolls()!
Any ideas?
Thanks