matplotlib-users Mailing List for matplotlib

No reason why it shouldn't. I would be more than happy to see that feature
added. I could perhaps be convinced that it is a "bug" that it is in the
boxplot function and not the violin function so that it could get out into
a 1.4.1 release sooner. ::wink::
On Thu, Aug 28, 2014 at 8:05 AM, Neal Becker <ndb...@gm...> wrote:
> As others noted, seaborn does very nice violin plots. I was hoping the
> mpl version would replace that.
>
>
> On Thu, Aug 28, 2014 at 8:04 AM, Thomas Caswell <tca...@gm...>
> wrote:
>
>> We also welcome PRs! Adding that feature should be pretty straight
>> forward.
>>
>> Iirc it should be a matter of adding an extra key to the dictionary and a
>> conditional to draw the lines if those keys exist.
>>
>> Tom
>> On Aug 27, 2014 4:57 PM, "Arnaldo Russo" <arn...@gm...> wrote:
>>
>>> Hi Neal,
>>> I don't know if you need exclusively matplotlib tools to apply your
>>> violin plot, but seaborn package [1, 2] do this very well.
>>> I hope you enjoy it!
>>> Cheers,
>>> Arnaldo.
>>>
>>> [1]
>>> http://web.stanford.edu/~mwaskom/software/seaborn/examples/violinplots.html
>>> [2] https://github.com/mwaskom/seaborn
>>>
>>>
>>> ---
>>> *Arnaldo D'Amaral Pereira Granja Russo*
>>> Lab. de Estudos dos Oceanos e Clima
>>> Instituto de Oceanografia - FURG
>>>
>>>
>>>
>>>
>>> 2014年08月27日 12:15 GMT-03:00 Neal Becker <ndb...@gm...>:
>>>
>>>> I'm pleased to see violinplot added to mpl-1.4. One question. I might
>>>> like to
>>>> annotate with some statistic. Like boxplot can show quantiles. I
>>>> might like to
>>>> show either quantiles, or some other statistic (3 sigma) on my
>>>> violinplot.
>>>> After all, violinplot is advertised as an improved boxplot, but it
>>>> seems to be
>>>> missing this feature.
>>>>
>>>> --
>>>> -- Those who don't understand recursion are doomed to repeat it
>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Slashdot TV.
>>>> Video for Nerds. Stuff that matters.
>>>> http://tv.slashdot.org/
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Slashdot TV.
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>>> http://tv.slashdot.org/
>>> _______________________________________________
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>>>
>>>
>
>
> --
> *Those who don't understand recursion are doomed to repeat it*
>
>
> ------------------------------------------------------------------------------
> Slashdot TV.
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>
>

You are asking for the twinx() feature:
http://matplotlib.org/examples/api/two_scales.html
On Thu, Aug 28, 2014 at 9:24 AM, Shantha Kumara <shk...@in...> wrote:
> Hi All,
>
> Thank you so much for your help, It really worked for me.
>
>
> I need one more favor,
>
>
> I have ploted the graph with 2 Y-axes
>
> Here is the code
>
> lns1 = ax1.plot(x1, y1, 'r-o',label=LY1,markersize=4)
> ax1 = self.set_ylim(ax1,y1,label=LY1)
> lns2 = ax2.plot(x2, y2, 'b-o',label=LY2,markersize=4)
>
> I want to set the grid to the second y-axes in the same graph.
>
> Please help on the same.
>
> See here the difference
>
> (Embedded image moved to file: pic19302.gif)
>
>
>
> SHANTHA KUMARA REVANASIDDAPPA
> Python Developper
> Operations & Production Control, A1 Telekom
> IBM
> M +43-6642196132
> @ Sha...@ex...
>
> ------------------------------------------------------------------------------
> Slashdot TV.
> Video for Nerds. Stuff that matters.
> http://tv.slashdot.org/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

That stuff is done in the deep underbelly of matplotlib and isn't exposed
to the user. It is done as part of the rendering process in AGG or
whichever other backend is performing the render. I have done something
very similar to what you are asking for my job, and while I can't share the
code, I can point out that GDAL has a very fast polygon rasterizer. I can
also point you to this link:
http://stackoverflow.com/questions/2220749/rasterizing-a-gdal-layer
I will also say that there are some subtle errors in that code, but it
should get you to where you need to go.
Cheers!
Ben Root
On Thu, Aug 28, 2014 at 9:02 AM, Matthew Czesarski <
mat...@gm...> wrote:
> Hi Matplotlib Users!
>
>
>
> I have some 2-d arrays, which i am displaying with implot, and deriving
> contours for with contour. Easy - I'm just pulling them out of
> collections[0].get_paths() .
>
> However what's not easy is that I would like to recover a 1-0 or
> True-False array of the array values (pixels) that fall within the
> contours. Some line crossing algorithm/floodfill could do it, but I guess
> that matplotlib's fill() or contourf() must do this under the hood anyway.
> I've looked into the output both functions, but I don't see anything
> obvious..
>
> Does anybody know if there's an a way to pull out a such an array from
> matplotlib? Any pointers are appreciated!
>
> Cheers,
> Matt
>
>
> ------------------------------------------------------------------------------
> Slashdot TV.
> Video for Nerds. Stuff that matters.
> http://tv.slashdot.org/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hi All,
Thank you so much for your help, It really worked for me.
I need one more favor,
I have ploted the graph with 2 Y-axes
Here is the code
	 lns1 = ax1.plot(x1, y1, 'r-o',label=LY1,markersize=4)
 ax1 = self.set_ylim(ax1,y1,label=LY1)
 lns2 = ax2.plot(x2, y2, 'b-o',label=LY2,markersize=4)
I want to set the grid to the second y-axes in the same graph.
Please help on the same.
See here the difference
(Embedded image moved to file: pic19302.gif)
SHANTHA KUMARA REVANASIDDAPPA
Python Developper
Operations & Production Control, A1 Telekom
IBM
M +43-6642196132
@ Sha...@ex...

Hi Matplotlib Users!
I have some 2-d arrays, which i am displaying with implot, and deriving
contours for with contour. Easy - I'm just pulling them out of
collections[0].get_paths() .
However what's not easy is that I would like to recover a 1-0 or True-False
array of the array values (pixels) that fall within the contours. Some line
crossing algorithm/floodfill could do it, but I guess that matplotlib's
fill() or contourf() must do this under the hood anyway. I've looked into
the output both functions, but I don't see anything obvious..
Does anybody know if there's an a way to pull out a such an array from
matplotlib? Any pointers are appreciated!
Cheers,
Matt

As others noted, seaborn does very nice violin plots. I was hoping the mpl
version would replace that.
On Thu, Aug 28, 2014 at 8:04 AM, Thomas Caswell <tca...@gm...> wrote:
> We also welcome PRs! Adding that feature should be pretty straight
> forward.
>
> Iirc it should be a matter of adding an extra key to the dictionary and a
> conditional to draw the lines if those keys exist.
>
> Tom
> On Aug 27, 2014 4:57 PM, "Arnaldo Russo" <arn...@gm...> wrote:
>
>> Hi Neal,
>> I don't know if you need exclusively matplotlib tools to apply your
>> violin plot, but seaborn package [1, 2] do this very well.
>> I hope you enjoy it!
>> Cheers,
>> Arnaldo.
>>
>> [1]
>> http://web.stanford.edu/~mwaskom/software/seaborn/examples/violinplots.html
>> [2] https://github.com/mwaskom/seaborn
>>
>>
>> ---
>> *Arnaldo D'Amaral Pereira Granja Russo*
>> Lab. de Estudos dos Oceanos e Clima
>> Instituto de Oceanografia - FURG
>>
>>
>>
>>
>> 2014年08月27日 12:15 GMT-03:00 Neal Becker <ndb...@gm...>:
>>
>>> I'm pleased to see violinplot added to mpl-1.4. One question. I might
>>> like to
>>> annotate with some statistic. Like boxplot can show quantiles. I might
>>> like to
>>> show either quantiles, or some other statistic (3 sigma) on my
>>> violinplot.
>>> After all, violinplot is advertised as an improved boxplot, but it seems
>>> to be
>>> missing this feature.
>>>
>>> --
>>> -- Those who don't understand recursion are doomed to repeat it
>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Slashdot TV.
>>> Video for Nerds. Stuff that matters.
>>> http://tv.slashdot.org/
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>
>>
>>
>> ------------------------------------------------------------------------------
>> Slashdot TV.
>> Video for Nerds. Stuff that matters.
>> http://tv.slashdot.org/
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
-- 
*Those who don't understand recursion are doomed to repeat it*

We also welcome PRs! Adding that feature should be pretty straight
forward.
Iirc it should be a matter of adding an extra key to the dictionary and a
conditional to draw the lines if those keys exist.
Tom
On Aug 27, 2014 4:57 PM, "Arnaldo Russo" <arn...@gm...> wrote:
> Hi Neal,
> I don't know if you need exclusively matplotlib tools to apply your violin
> plot, but seaborn package [1, 2] do this very well.
> I hope you enjoy it!
> Cheers,
> Arnaldo.
>
> [1]
> http://web.stanford.edu/~mwaskom/software/seaborn/examples/violinplots.html
> [2] https://github.com/mwaskom/seaborn
>
>
> ---
> *Arnaldo D'Amaral Pereira Granja Russo*
> Lab. de Estudos dos Oceanos e Clima
> Instituto de Oceanografia - FURG
>
>
>
>
> 2014年08月27日 12:15 GMT-03:00 Neal Becker <ndb...@gm...>:
>
>> I'm pleased to see violinplot added to mpl-1.4. One question. I might
>> like to
>> annotate with some statistic. Like boxplot can show quantiles. I might
>> like to
>> show either quantiles, or some other statistic (3 sigma) on my violinplot.
>> After all, violinplot is advertised as an improved boxplot, but it seems
>> to be
>> missing this feature.
>>
>> --
>> -- Those who don't understand recursion are doomed to repeat it
>>
>>
>>
>> ------------------------------------------------------------------------------
>> Slashdot TV.
>> Video for Nerds. Stuff that matters.
>> http://tv.slashdot.org/
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>
>
> ------------------------------------------------------------------------------
> Slashdot TV.
> Video for Nerds. Stuff that matters.
> http://tv.slashdot.org/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>