matplotlib-users Mailing List for matplotlib (Page 58)

Hello.
Can I use pyplot functions (such as pyplot.plot, pyplot.pcolormesh) to 
plot in embedded Qt plot?
I have created the following class

class CDeltaHPlot(FigureCanvasQTAgg):
     def __init__(self, parent = None):
         self.figure = Figure()
         self.axes = self.figure.add_subplot(111)
         FigureCanvasQTAgg.__init__(self, self.figure)
         self.setParent(parent)
         FigureCanvasQTAgg.setSizePolicy(self, QSizePolicy.Expanding,
                 QSizePolicy.Expanding)
         FigureCanvasQTAgg.updateGeometry(self)
         self.plot()

     def plot(self):
         pyplot.sca(self.axes)

But it throws the following exception:
  File 
"/opt/develop/lib/python3.4/site-packages/matplotlib-1.4.0-py3.4-linux-x8
6_64.egg/matplotlib/pyplot.py", line 806, in sca
     raise ValueError("Axes instance argument was not found in a figure.")
ValueError: Axes instance argument was not found in a figure.

Kind regards, Petr.

Hey Ben,

Sounds like a cool list.

Plotly (https://plot.ly) turns matplotlib plots into interactive, D3.js
plots and translates the figure into R, MATLAB, and Julia. Plotly makes the
data and figure editable in a web-based GUI, assigns the plot to a URL
(e.g.: https://plot.ly/~PlotBot/182), and lets users collaboratively edit
the plot, data, and code online either via GUI or code.

See our matplotlib docs: https://plot.ly/matplotlib/.

Here's an IPython Notebook walk-through:
http://nbviewer.ipython.org/gist/msund/11349097. Given the use of
matplotlib in ggplot for Python, prettyplotlib, and Seaborn, the same
translation applies, as shown in that Notebook.

M

On Sat, Oct 4, 2014 at 7:53 AM, Benjamin Root <ben...@ou...> wrote:

> I working on compiling a list of third-party tools that provide
> interactive features to matplotlib. I am looking for tools such as Joe's
> mpldatacursor. If you know of a tool that should be included in this list,
> let me know!
>
> Thanks,
> Ben Root
>
>
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hello everyone,
I would like to have a list of software, which uses matplotlib to extend 
the wikipedia in some other languages. do you have an idea where I could 
find such lists?
thank you!

Hi Ben,

Glue (glueviz.org) is built on top of matplotlib -- its more of an
application than a toolkit for supplementing MPL, although it's new custom
data viewer feature lets you easily turn static matplotlib plots into
interactive, selectable plots (see
http://www.glueviz.org/en/latest/custom_viewer.html).

chris



On Sat, Oct 4, 2014 at 8:53 AM, Benjamin Root <ben...@ou...> wrote:

> I working on compiling a list of third-party tools that provide
> interactive features to matplotlib. I am looking for tools such as Joe's
> mpldatacursor. If you know of a tool that should be included in this list,
> let me know!
>
> Thanks,
> Ben Root
>
>
> ------------------------------------------------------------------------------
> 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
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-- 
*************************************
Chris Beaumont
Senior Software Engineer
Harvard Center for Astrophysics
60 Garden Street, MS 42
Cambridge, MA 02138
chrisbeaumont.org
*************************************

Also note, you can just call plt.xkcd() and it will turn on the setting
globally for that session.

On 4 October 2014 00:11, Paul Hobson <pmh...@gm...> wrote:

> That's what the `with` statement allows you do.
>
> Say you have a function that does some plotting and returns a figure --
> call it my_plot_func.
>
> You can do:
>
> fig1 = my_plot_func()
> fig1.savefig('normal1.png')
>
> with plt.xkcd():
>     fig2 = mu_plot_func()
>     fig2.savefig('xkcd.png')
>
> fig2 = my_plot_func()
> fig2.savefig('normal2.png')
>
> And the xkcd image will be squiggly but the normal images won't.
> -p
>
> On Fri, Oct 3, 2014 at 12:40 PM, Christophe Bal <pro...@gm...>
> wrote:
>
>> Hello.
>>
>> I've only seen one way to use the xkcd feature. This uses a with
>> statement.
>>
>> Is there another way to use the xkcd feature so as to easily switch
>> between exact plot and trembling one ?
>>
>> Christophe BAL
>>
>>
>> ------------------------------------------------------------------------------
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>>
>
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I working on compiling a list of third-party tools that provide interactive
features to matplotlib. I am looking for tools such as Joe's mpldatacursor.
If you know of a tool that should be included in this list, let me know!

Thanks,
Ben Root

That's what the `with` statement allows you do.

Say you have a function that does some plotting and returns a figure --
call it my_plot_func.

You can do:

fig1 = my_plot_func()
fig1.savefig('normal1.png')

with plt.xkcd():
    fig2 = mu_plot_func()
    fig2.savefig('xkcd.png')

fig2 = my_plot_func()
fig2.savefig('normal2.png')

And the xkcd image will be squiggly but the normal images won't.
-p

On Fri, Oct 3, 2014 at 12:40 PM, Christophe Bal <pro...@gm...> wrote:

> Hello.
>
> I've only seen one way to use the xkcd feature. This uses a with statement.
>
> Is there another way to use the xkcd feature so as to easily switch
> between exact plot and trembling one ?
>
> Christophe BAL
>
>
> ------------------------------------------------------------------------------
> 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
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> _______________________________________________
> Matplotlib-users mailing list
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>
>

Hello.

I've only seen one way to use the xkcd feature. This uses a with statement.

Is there another way to use the xkcd feature so as to easily switch between
exact plot and trembling one ?

Christophe BAL

Nicolas,
Thank you for the link to vispy. This looks like it will be much easier for me to wrap my mind around vispy than VTK... 

Best regards,
Fabrice


"Nicolas P. Rougier" <Nic...@in...> wrote:

>
>You might want to have a look at vispy.org, we implemented the wx backend and there are several examples available.
>(and the new glumpy home is http://glumpy.github.io)
>
>vispy examples at http://vispy.org/gallery.html
>
>
>Nicolas
>
>
>On 01 Oct 2014, at 20:27, Fabrice C. <kap...@ya...> wrote:
>
>> Dear Ben,
>> 
>> Thank you for the explanation. Too bad mplot3d cannot display textured polygons.
>> I did have a look at glumpy and it does part of what I am looking for. However, glumpy does not support being embedded in a wxpython application which is a requisite for me.
>> 
>> I guess I just have to learn VTK... 
>> 
>> Thanks again,
>> 
>> Fabrice
>> 
>> Benjamin Root <ben...@ou...> wrote:
>> 
>> I tried something like this awhile back to no avail. Because of the kludgy nature of mplot3d, we are lucky we even can display 2d artists like polygons (and, this is me speaking as the de facto maintainer of mplot3d!). Images are an entirely different beast, unfortunately.
>> 
>> What *might* work is getting a pcolormesh object converted into 3d. Not pcolor (as that is an image-based object), but the QuadMesh object that gets returned by pcolormesh(). I haven't tried to convert that into a 3d equivalent, but it might be feasible.
>> 
>> I would also check out glumpy: https://code.google.com/p/glumpy/. I could have sworn I have seen examples of glumpy treating images as "texture" data for surfaces.
>> 
>> I hope this points you in a useful direction!
>> Ben Root
>> 
>> 
>> On Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kap...@ya...> wrote:
>> Dear list,
>> 
>> I would like to display a 2D image in a mplot3d axe in order to combine
>> it with a surface3D or a bar3d plot for instance. The effect I am
>> looking for is similar to what can be seen in the bottom XY plane of
>> http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
>> except that I would like to have a custom image instead of the filled
>> contours.
>> 
>> I googled the subject and found only messages dating at best from 2010.
>> These messages mentioned that the imshow() method did not work on a
>> mplot3d. Indeed it does not.
>> The only alternatives offered by the googled answer to my problem were
>> to switch to VTK or Mayavi. For one thing, I never managed to install
>> VTK on my PC, and I already have other matplotlib figures in my wxpython
>> application so I would really like to stick to matplotlib.
>> 
>> Does anyone have pointers as to how I could display a 2D image in
>> mplot3d? Do I need to create a new artist in order to replace the
>> non-functionning imshow?
>> I see that patch collections work fine in mplot3D. Would it be feasible
>> to load an image and have it displayed as a patch collection (1 patch
>> for each pixel)?
>> 
>> Any advice would be highly appreciated,
>> 
>> Fabrice
>> 
>> 
>> ---
>> This email is free from viruses and malware because avast! Antivirus protection is active.
>> http://www.avast.com
>> 
>> 
>> ------------------------------------------------------------------------------
>> 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
>> 
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>> Matplotlib-users mailing list
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>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Correction for something I said earlier. I got my pcolor and pcolormesh
objects mixed up. Neither the QuadMesh nor the PolyCollection from the two
functions are image-based. So they do have a glimmer of hope of being
converted into 3d. The PolyCollection is the best candidate as I think
there is better support for that now in mplot3d. QuadMesh is a different
beast, but might be tamable.

Sorry for any confusion.

Cheers!
Ben Root

On Thu, Oct 2, 2014 at 2:03 AM, Nicolas P. Rougier <Nic...@in...
> wrote:

>
> You might want to have a look at vispy.org, we implemented the wx backend
> and there are several examples available.
> (and the new glumpy home is http://glumpy.github.io)
>
> vispy examples at http://vispy.org/gallery.html
>
>
> Nicolas
>
>
> On 01 Oct 2014, at 20:27, Fabrice C. <kap...@ya...> wrote:
>
> > Dear Ben,
> >
> > Thank you for the explanation. Too bad mplot3d cannot display textured
> polygons.
> > I did have a look at glumpy and it does part of what I am looking for.
> However, glumpy does not support being embedded in a wxpython application
> which is a requisite for me.
> >
> > I guess I just have to learn VTK...
> >
> > Thanks again,
> >
> > Fabrice
> >
> > Benjamin Root <ben...@ou...> wrote:
> >
> > I tried something like this awhile back to no avail. Because of the
> kludgy nature of mplot3d, we are lucky we even can display 2d artists like
> polygons (and, this is me speaking as the de facto maintainer of mplot3d!).
> Images are an entirely different beast, unfortunately.
> >
> > What *might* work is getting a pcolormesh object converted into 3d. Not
> pcolor (as that is an image-based object), but the QuadMesh object that
> gets returned by pcolormesh(). I haven't tried to convert that into a 3d
> equivalent, but it might be feasible.
> >
> > I would also check out glumpy: https://code.google.com/p/glumpy/. I
> could have sworn I have seen examples of glumpy treating images as
> "texture" data for surfaces.
> >
> > I hope this points you in a useful direction!
> > Ben Root
> >
> >
> > On Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kap...@ya...>
> wrote:
> > Dear list,
> >
> > I would like to display a 2D image in a mplot3d axe in order to combine
> > it with a surface3D or a bar3d plot for instance. The effect I am
> > looking for is similar to what can be seen in the bottom XY plane of
> > http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
> > except that I would like to have a custom image instead of the filled
> > contours.
> >
> > I googled the subject and found only messages dating at best from 2010.
> > These messages mentioned that the imshow() method did not work on a
> > mplot3d. Indeed it does not.
> > The only alternatives offered by the googled answer to my problem were
> > to switch to VTK or Mayavi. For one thing, I never managed to install
> > VTK on my PC, and I already have other matplotlib figures in my wxpython
> > application so I would really like to stick to matplotlib.
> >
> > Does anyone have pointers as to how I could display a 2D image in
> > mplot3d? Do I need to create a new artist in order to replace the
> > non-functionning imshow?
> > I see that patch collections work fine in mplot3D. Would it be feasible
> > to load an image and have it displayed as a patch collection (1 patch
> > for each pixel)?
> >
> > Any advice would be highly appreciated,
> >
> > Fabrice
> >
> >
> > ---
> > This email is free from viruses and malware because avast! Antivirus
> protection is active.
> > http://www.avast.com
> >
> >
> >
> ------------------------------------------------------------------------------
> > 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
> >
> >
> ------------------------------------------------------------------------------
> > 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
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> >
> 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
>
>

You might want to have a look at vispy.org, we implemented the wx backend and there are several examples available.
(and the new glumpy home is http://glumpy.github.io)

vispy examples at http://vispy.org/gallery.html


Nicolas


On 01 Oct 2014, at 20:27, Fabrice C. <kap...@ya...> wrote:

> Dear Ben,
> 
> Thank you for the explanation. Too bad mplot3d cannot display textured polygons.
> I did have a look at glumpy and it does part of what I am looking for. However, glumpy does not support being embedded in a wxpython application which is a requisite for me.
> 
> I guess I just have to learn VTK... 
> 
> Thanks again,
> 
> Fabrice
> 
> Benjamin Root <ben...@ou...> wrote:
> 
> I tried something like this awhile back to no avail. Because of the kludgy nature of mplot3d, we are lucky we even can display 2d artists like polygons (and, this is me speaking as the de facto maintainer of mplot3d!). Images are an entirely different beast, unfortunately.
> 
> What *might* work is getting a pcolormesh object converted into 3d. Not pcolor (as that is an image-based object), but the QuadMesh object that gets returned by pcolormesh(). I haven't tried to convert that into a 3d equivalent, but it might be feasible.
> 
> I would also check out glumpy: https://code.google.com/p/glumpy/. I could have sworn I have seen examples of glumpy treating images as "texture" data for surfaces.
> 
> I hope this points you in a useful direction!
> Ben Root
> 
> 
> On Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kap...@ya...> wrote:
> Dear list,
> 
> I would like to display a 2D image in a mplot3d axe in order to combine
> it with a surface3D or a bar3d plot for instance. The effect I am
> looking for is similar to what can be seen in the bottom XY plane of
> http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
> except that I would like to have a custom image instead of the filled
> contours.
> 
> I googled the subject and found only messages dating at best from 2010.
> These messages mentioned that the imshow() method did not work on a
> mplot3d. Indeed it does not.
> The only alternatives offered by the googled answer to my problem were
> to switch to VTK or Mayavi. For one thing, I never managed to install
> VTK on my PC, and I already have other matplotlib figures in my wxpython
> application so I would really like to stick to matplotlib.
> 
> Does anyone have pointers as to how I could display a 2D image in
> mplot3d? Do I need to create a new artist in order to replace the
> non-functionning imshow?
> I see that patch collections work fine in mplot3D. Would it be feasible
> to load an image and have it displayed as a patch collection (1 patch
> for each pixel)?
> 
> Any advice would be highly appreciated,
> 
> Fabrice
> 
> 
> ---
> This email is free from viruses and malware because avast! Antivirus protection is active.
> http://www.avast.com
> 
> 
> ------------------------------------------------------------------------------
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> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
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Instead of learning VTK, you may find it easier to start with Mayavi 2
(written on VTK).



On Wed, Oct 1, 2014 at 2:27 PM, Fabrice C. <kap...@ya...>
wrote:

> Dear Ben,
>
> Thank you for the explanation. Too bad mplot3d cannot display textured
> polygons.
> I did have a look at glumpy and it does part of what I am looking for.
> However, glumpy does not support being embedded in a wxpython application
> which is a requisite for me.
>
> I guess I just have to learn VTK...
>
> Thanks again,
>
> Fabrice
>
>
> Benjamin Root <ben...@ou...> wrote:
>
> I tried something like this awhile back to no avail. Because of the kludgy
> nature of mplot3d, we are lucky we even can display 2d artists like
> polygons (and, this is me speaking as the de facto maintainer of mplot3d!).
> Images are an entirely different beast, unfortunately.
>
> What *might* work is getting a pcolormesh object converted into 3d. Not
> pcolor (as that is an image-based object), but the QuadMesh object that
> gets returned by pcolormesh(). I haven't tried to convert that into a 3d
> equivalent, but it might be feasible.
>
> I would also check out glumpy: https://code.google.com/p/glumpy/. I could
> have sworn I have seen examples of glumpy treating images as "texture" data
> for surfaces.
>
> I hope this points you in a useful direction!
> Ben Root
>
>
> On Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kap...@ya...>
> wrote:
>
>> Dear list,
>>
>> I would like to display a 2D image in a mplot3d axe in order to combine
>> it with a surface3D or a bar3d plot for instance. The effect I am
>> looking for is similar to what can be seen in the bottom XY plane of
>> http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
>> except that I would like to have a custom image instead of the filled
>> contours.
>>
>> I googled the subject and found only messages dating at best from 2010.
>> These messages mentioned that the imshow() method did not work on a
>> mplot3d. Indeed it does not.
>> The only alternatives offered by the googled answer to my problem were
>> to switch to VTK or Mayavi. For one thing, I never managed to install
>> VTK on my PC, and I already have other matplotlib figures in my wxpython
>> application so I would really like to stick to matplotlib.
>>
>> Does anyone have pointers as to how I could display a 2D image in
>> mplot3d? Do I need to create a new artist in order to replace the
>> non-functionning imshow?
>> I see that patch collections work fine in mplot3D. Would it be feasible
>> to load an image and have it displayed as a patch collection (1 patch
>> for each pixel)?
>>
>> Any advice would be highly appreciated,
>>
>> Fabrice
>>
>>
>> ---
>> This email is free from viruses and malware because avast! Antivirus
>> protection is active.
>> http://www.avast.com
>>
>>
>>
>> ------------------------------------------------------------------------------
>> 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
>>
>
>
>
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>
>

Dear Ben,

Thank you for the explanation. Too bad mplot3d cannot display textured polygons.
I did have a look at glumpy and it does part of what I am looking for. However, glumpy does not support being embedded in a wxpython application which is a requisite for me.

I guess I just have to learn VTK... 

Thanks again,

Fabrice

Benjamin Root <ben...@ou...> wrote:

>I tried something like this awhile back to no avail. Because of the kludgy
>nature of mplot3d, we are lucky we even can display 2d artists like
>polygons (and, this is me speaking as the de facto maintainer of mplot3d!).
>Images are an entirely different beast, unfortunately.
>
>What *might* work is getting a pcolormesh object converted into 3d. Not
>pcolor (as that is an image-based object), but the QuadMesh object that
>gets returned by pcolormesh(). I haven't tried to convert that into a 3d
>equivalent, but it might be feasible.
>
>I would also check out glumpy: https://code.google.com/p/glumpy/. I could
>have sworn I have seen examples of glumpy treating images as "texture" data
>for surfaces.
>
>I hope this points you in a useful direction!
>Ben Root
>
>
>On Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kap...@ya...>
>wrote:
>
>> Dear list,
>>
>> I would like to display a 2D image in a mplot3d axe in order to combine
>> it with a surface3D or a bar3d plot for instance. The effect I am
>> looking for is similar to what can be seen in the bottom XY plane of
>> http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
>> except that I would like to have a custom image instead of the filled
>> contours.
>>
>> I googled the subject and found only messages dating at best from 2010.
>> These messages mentioned that the imshow() method did not work on a
>> mplot3d. Indeed it does not.
>> The only alternatives offered by the googled answer to my problem were
>> to switch to VTK or Mayavi. For one thing, I never managed to install
>> VTK on my PC, and I already have other matplotlib figures in my wxpython
>> application so I would really like to stick to matplotlib.
>>
>> Does anyone have pointers as to how I could display a 2D image in
>> mplot3d? Do I need to create a new artist in order to replace the
>> non-functionning imshow?
>> I see that patch collections work fine in mplot3D. Would it be feasible
>> to load an image and have it displayed as a patch collection (1 patch
>> for each pixel)?
>>
>> Any advice would be highly appreciated,
>>
>> Fabrice
>>
>>
>> ---
>> This email is free from viruses and malware because avast! Antivirus
>> protection is active.
>> http://www.avast.com
>>
>>
>>
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>>

You mean matplotlib 1.3.1 and numpy 1.8.1, right?--
Paul Hobson
Sorry if this is unintelligible. I'm on my phone.

On Wed, Oct 1, 2014 at 9:36 AM, Steve McAfee <smc...@gm...>
wrote:

> This is really old. It's a readynas from netgear running etch with a bunch
> of backports. It seems that something in numpy or matplotlib changed in the
> last 6 months that caused this. There is a lengthy procedure to getting
> virtualbox running on this config. The instructions for doing this are on
> the readynas forum. I ran through them and they worked 6 months ago, but I
> reinstalled the system for an unrelated reason and when I went back to the
> instructions they wouldn't work at the step to install matplotlib. After I
> realized it was because these versions were updated I got it to work by
> selecting numpy 1.3.1 and matplotlib 1.8.1 which were available (by date)
> the last time it worked.
> Gdb was strange, the calling function showed the meta variable as a
> pointer, but in the failing function it was 0x10. 0x10 happens to be the
> first value in the meta data structure so it seems like a function
> definition or compiler issue. Wierd, but I'm ok running the old version on
> this box that doesn't change very often.
> steve
> On Wed, Oct 1, 2014 at 11:48 AM, Paul Hobson <pmh...@gm...> wrote:
>> Which OS are you on?
>>
>> Before Anaconda, I would use "sudo apt-get build-dep python-matplotlib" to
>> get all of the dependencies and then "sudo python setup.py install" from
>> the matplotlib directory and it would work fine.
>>
>> Now that Anaconda is around, I just "conda create --name=mpldev matplotlib
>> python=3.3" and then "source activate "mpldev" followed by "pip install -e
>> ." from the matplotlib source directory.
>>
>> On Wed, Oct 1, 2014 at 6:40 AM, Steve <smc...@gm...> wrote:
>>
>>> I had installed these a couple of months ago successfully so I tried
>>> versions
>>> from that timeframe (numby 1.3.1 and matplotlib 1.8.1) and that worked
>>> fine.
>>>
>>> FWIW with the latest versions the crash was at line 1965 of datetime.c.
>>> The
>>> meta variable was not a pointer. It was actually the value of the first
>>> member of the meta variable passed in by the calling function. I'm using
>>> gcc
>>> 4.1.1.
>>>
>>> steve
>>>
>>>
>>>
>>> --
>>> View this message in context:
>>> http://matplotlib.1069221.n5.nabble.com/seg-fault-installing-tp44049p44050.html
>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>
>>>
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>>> _______________________________________________
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>>>
>>
>>

Hi all guys,

I am trying for a while to set width of the legend box to constant value,
independent of the text inside. So far I tried with following approach:

l1.get_frame().set_width(2.0)

where l1 is object of legend type. After this line nothing actually
happens. I was also not able to find the solution on the web. Is there any
suggestion how to solve this?

Thanx and chhers

-- 
Nemanja Savić

I had installed these a couple of months ago successfully so I tried versions
from that timeframe (numby 1.3.1 and matplotlib 1.8.1) and that worked fine. 

FWIW with the latest versions the crash was at line 1965 of datetime.c. The
meta variable was not a pointer. It was actually the value of the first
member of the meta variable passed in by the calling function. I'm using gcc
4.1.1.

steve



--
View this message in context: http://matplotlib.1069221.n5.nabble.com/seg-fault-installing-tp44049p44050.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

I'm using pip but even without it when I run setup.py build or setup.py
install in the matplotlib directory I get a segfault early in the run. If I
trace it, the seg fault is shortly after numbers.pyc is loaded from numpy,
but even if I uninstall numpy I still get a segfault when I try to install
mapplotlib. Only matplotlib has this issue. Other packages can uninstall
and reinstall fine.

steve

# pip install matplotlib

Downloading/unpacking matplotlib

  Downloading matplotlib-1.4.0.tar.gz (51.2MB): 51.2MB downloaded

  Running setup.py (path:/tmp/pip_build_root/matplotlib/setup.py) egg_info
for package matplotlib

    Downloading
http://pypi.python.org/packages/source/d/distribute/distribute-0.6.28.tar.gz

    Extracting in /tmp/tmp6VPGqi

    Now working in /tmp/tmp6VPGqi/distribute-0.6.28

    Building a Distribute egg in /tmp/pip_build_root/matplotlib

    /tmp/pip_build_root/matplotlib/distribute-0.6.28-py2.7.egg

    Complete output from command python setup.py egg_info:

    Downloading
http://pypi.python.org/packages/source/d/distribute/distribute-0.6.28.tar.gz

Extracting in /tmp/tmp6VPGqi

Now working in /tmp/tmp6VPGqi/distribute-0.6.28

Building a Distribute egg in /tmp/pip_build_root/matplotlib

/tmp/pip_build_root/matplotlib/distribute-0.6.28-py2.7.egg

----------------------------------------

Cleaning up...

Command python setup.py egg_info failed with error code -11 in
/tmp/pip_build_root/matplotlib

Storing debug log for failure in /root/.pip/pip.log


# tail -20 /root/.pip/pip.log


/tmp/pip_build_root/matplotlib/distribute-0.6.28-py2.7.egg


----------------------------------------

Cleaning up...

  Removing temporary dir /tmp/pip_build_root...

Command python setup.py egg_info failed with error code -11 in
/tmp/pip_build_root/matplotlib

Exception information:

Traceback (most recent call last):

  File "/usr/local/lib/python2.7/site-packages/pip/basecommand.py", line
122, in main

    status = self.run(options, args)

  File "/usr/local/lib/python2.7/site-packages/pip/commands/install.py",
line 278, in run

    requirement_set.prepare_files(finder, force_root_egg_info=self.bundle,
bundle=self.bundle)

  File "/usr/local/lib/python2.7/site-packages/pip/req.py", line 1229, in
prepare_files

    req_to_install.run_egg_info()

  File "/usr/local/lib/python2.7/site-packages/pip/req.py", line 325, in
run_egg_info

    command_desc='python setup.py egg_info')

  File "/usr/local/lib/python2.7/site-packages/pip/util.py", line 697, in
call_subprocess

    % (command_desc, proc.returncode, cwd))

InstallationError: Command python setup.py egg_info failed with error code
-11 in /tmp/pip_build_root/matplotlib

I tried something like this awhile back to no avail. Because of the kludgy
nature of mplot3d, we are lucky we even can display 2d artists like
polygons (and, this is me speaking as the de facto maintainer of mplot3d!).
Images are an entirely different beast, unfortunately.

What *might* work is getting a pcolormesh object converted into 3d. Not
pcolor (as that is an image-based object), but the QuadMesh object that
gets returned by pcolormesh(). I haven't tried to convert that into a 3d
equivalent, but it might be feasible.

I would also check out glumpy: https://code.google.com/p/glumpy/. I could
have sworn I have seen examples of glumpy treating images as "texture" data
for surfaces.

I hope this points you in a useful direction!
Ben Root


On Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kap...@ya...>
wrote:

> Dear list,
>
> I would like to display a 2D image in a mplot3d axe in order to combine
> it with a surface3D or a bar3d plot for instance. The effect I am
> looking for is similar to what can be seen in the bottom XY plane of
> http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
> except that I would like to have a custom image instead of the filled
> contours.
>
> I googled the subject and found only messages dating at best from 2010.
> These messages mentioned that the imshow() method did not work on a
> mplot3d. Indeed it does not.
> The only alternatives offered by the googled answer to my problem were
> to switch to VTK or Mayavi. For one thing, I never managed to install
> VTK on my PC, and I already have other matplotlib figures in my wxpython
> application so I would really like to stick to matplotlib.
>
> Does anyone have pointers as to how I could display a 2D image in
> mplot3d? Do I need to create a new artist in order to replace the
> non-functionning imshow?
> I see that patch collections work fine in mplot3D. Would it be feasible
> to load an image and have it displayed as a patch collection (1 patch
> for each pixel)?
>
> Any advice would be highly appreciated,
>
> Fabrice
>
>
> ---
> This email is free from viruses and malware because avast! Antivirus
> protection is active.
> http://www.avast.com
>
>
>
> ------------------------------------------------------------------------------
> 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
>

Dear list,

I would like to display a 2D image in a mplot3d axe in order to combine 
it with a surface3D or a bar3d plot for instance. The effect I am 
looking for is similar to what can be seen in the bottom XY plane of 
http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html, 
except that I would like to have a custom image instead of the filled 
contours.

I googled the subject and found only messages dating at best from 2010. 
These messages mentioned that the imshow() method did not work on a 
mplot3d. Indeed it does not.
The only alternatives offered by the googled answer to my problem were 
to switch to VTK or Mayavi. For one thing, I never managed to install 
VTK on my PC, and I already have other matplotlib figures in my wxpython 
application so I would really like to stick to matplotlib.

Does anyone have pointers as to how I could display a 2D image in 
mplot3d? Do I need to create a new artist in order to replace the 
non-functionning imshow?
I see that patch collections work fine in mplot3D. Would it be feasible 
to load an image and have it displayed as a patch collection (1 patch 
for each pixel)?

Any advice would be highly appreciated,

Fabrice


---
This email is free from viruses and malware because avast! Antivirus protection is active.
http://www.avast.com

On 2014/09/30, 2:41 AM, Jesper Larsen wrote:
> Hi matplotlib users,
>
> Is it possible to disable antialiasing for a colorbar? If not directly
> is it the possible to "postprocess" the axes instance to se antialiasing
> for relevant elements?

The colorbar returns a Colorbar object, the "solids" attribute of which 
is a Quadmesh; so you should be able to execute

cbar.solids.set_antialiased(False)

to turn off antialiasing.  With a bit of testing, however, I am not 
seeing any difference, so I'm not sure what is going on, and I don't 
have time now to investigate.

Eric

>
> The reason I am asking is because I would like to produce a paletted png
> (using PIL) of the colorbar without the risk of removing any important
> colors in the process (in essence the output from matplotlib needs to
> have less than 256 colors for this to work).
>
> Best regards,
> Jesper
>
>
> ------------------------------------------------------------------------------
> 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
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>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi matplotlib users,

Is it possible to disable antialiasing for a colorbar? If not directly is
it the possible to "postprocess" the axes instance to se antialiasing for
relevant elements?

The reason I am asking is because I would like to produce a paletted png
(using PIL) of the colorbar without the risk of removing any important
colors in the process (in essence the output from matplotlib needs to have
less than 256 colors for this to work).

Best regards,
Jesper

Hello.

Concretly, I have one figure with some plots. I only want to have the
coordinates of the mouse when it is clicked over this figure.

On the other hand, when I click on the button, I have the button event, but
also the mouse one.

Maybe, one solution would be to know that the button has been clicked such
as to ignore mouse event in that case.

C
Le 29 sept. 2014 03:51, "Benjamin Root" <ben...@ou...> a écrit :

> I am sorry, I am not sure that I understand what you are trying to do. Why
> do you want the same action to happen whenever you click the mouse button
> (anywhere in the figure), and whenever you click the mouse button (when you
> are over the button)? The two areas overlap, so it would always trigger the
> action twice when clicking on the button.
>
> Why are you attaching the callback to mouse button clicking when it is
> already attached to the Button?
>
> Ben Root
>
> P.S. - please keep the coverstation on-list.
>
>
> On Sun, Sep 28, 2014 at 5:36 PM, Christophe Bal <pro...@gm...>
> wrote:
>
>> Hello.
>>
>> I want to use both mouse event, that works without the button, and also a
>> button but adding this ones makes the mouse event also working on this
>> button.
>>
>> The problem would be to connect the mouse event only with the first axe.
>> Can I do that ? Sorry but for the moment, I'm a real noob.
>>
>> 2014-09-28 21:53 GMT+02:00 Benjamin Root <ben...@ou...>:
>>
>>> Does this example help?
>>> http://matplotlib.org/examples/widgets/buttons.html
>>>
>>> With the Button widget, you won't need to do any mpl_connect calls, the
>>> widget takes care of that for you. Also, as a side note, the
>>> "button_press_event" does not refer to the button widgets, it refers to the
>>> mouse button.
>>>
>>> Cheers!
>>> Ben Root
>>>
>>>
>>> On Sat, Sep 27, 2014 at 6:30 PM, Christophe Bal <pro...@gm...>
>>> wrote:
>>>
>>>> Hello.
>>>>
>>>> In the following code, I would like to add two buttons. Is there an
>>>> easy way to do that ?
>>>>
>>>> Christophe
>>>>
>>>>
>>>> ================================
>>>>
>>>> import matplotlib.pyplot as plt
>>>> from matplotlib.widgets import Button
>>>>
>>>> fig = plt.figure()
>>>>
>>>> plt.axes(xlim = (0, 3), ylim = (0, 3))
>>>>
>>>> def onclick(event):
>>>>     print(event.xdata, event.ydata)
>>>>
>>>> fig.canvas.mpl_connect('button_press_event', onclick)
>>>>
>>>> plt.show()
>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> 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
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>>>>
>>>> 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 am sorry, I am not sure that I understand what you are trying to do. Why
do you want the same action to happen whenever you click the mouse button
(anywhere in the figure), and whenever you click the mouse button (when you
are over the button)? The two areas overlap, so it would always trigger the
action twice when clicking on the button.

Why are you attaching the callback to mouse button clicking when it is
already attached to the Button?

Ben Root

P.S. - please keep the coverstation on-list.


On Sun, Sep 28, 2014 at 5:36 PM, Christophe Bal <pro...@gm...> wrote:

> Hello.
>
> I want to use both mouse event, that works without the button, and also a
> button but adding this ones makes the mouse event also working on this
> button.
>
> The problem would be to connect the mouse event only with the first axe.
> Can I do that ? Sorry but for the moment, I'm a real noob.
>
> 2014-09-28 21:53 GMT+02:00 Benjamin Root <ben...@ou...>:
>
>> Does this example help?
>> http://matplotlib.org/examples/widgets/buttons.html
>>
>> With the Button widget, you won't need to do any mpl_connect calls, the
>> widget takes care of that for you. Also, as a side note, the
>> "button_press_event" does not refer to the button widgets, it refers to the
>> mouse button.
>>
>> Cheers!
>> Ben Root
>>
>>
>> On Sat, Sep 27, 2014 at 6:30 PM, Christophe Bal <pro...@gm...>
>> wrote:
>>
>>> Hello.
>>>
>>> In the following code, I would like to add two buttons. Is there an easy
>>> way to do that ?
>>>
>>> Christophe
>>>
>>>
>>> ================================
>>>
>>> import matplotlib.pyplot as plt
>>> from matplotlib.widgets import Button
>>>
>>> fig = plt.figure()
>>>
>>> plt.axes(xlim = (0, 3), ylim = (0, 3))
>>>
>>> def onclick(event):
>>>     print(event.xdata, event.ydata)
>>>
>>> fig.canvas.mpl_connect('button_press_event', onclick)
>>>
>>> plt.show()
>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> 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
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>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>

Does this example help?
http://matplotlib.org/examples/widgets/buttons.html

With the Button widget, you won't need to do any mpl_connect calls, the
widget takes care of that for you. Also, as a side note, the
"button_press_event" does not refer to the button widgets, it refers to the
mouse button.

Cheers!
Ben Root


On Sat, Sep 27, 2014 at 6:30 PM, Christophe Bal <pro...@gm...> wrote:

> Hello.
>
> In the following code, I would like to add two buttons. Is there an easy
> way to do that ?
>
> Christophe
>
>
> ================================
>
> import matplotlib.pyplot as plt
> from matplotlib.widgets import Button
>
> fig = plt.figure()
>
> plt.axes(xlim = (0, 3), ylim = (0, 3))
>
> def onclick(event):
>     print(event.xdata, event.ydata)
>
> fig.canvas.mpl_connect('button_press_event', onclick)
>
> plt.show()
>
>
>
> ------------------------------------------------------------------------------
> 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
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> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hello.

In the following code, I would like to add two buttons. Is there an easy
way to do that ?

Christophe


================================

import matplotlib.pyplot as plt
from matplotlib.widgets import Button

fig = plt.figure()

plt.axes(xlim = (0, 3), ylim = (0, 3))

def onclick(event):
    print(event.xdata, event.ydata)

fig.canvas.mpl_connect('button_press_event', onclick)

plt.show()