matplotlib-users Mailing List for matplotlib

Correct.


On Tue, May 28, 2013 at 9:42 AM, zetah <ot...@hu...> wrote:

> Albert Kottke wrote:
> >
> >I had this problem as well. I think my solution was to tell the
> >garbage collector to collect.
> >
> >import gc
> >import numpy as np
> >import matplotlib.pyplot as plt
> >
> >def draw_fig(arr, fn):
> >    fig = plt.figure()
> >    ax = fig.add_subplot(111)
> >    ax.contourf(arr)
> >    plt.savefig(fn)
> >    plt.close(fig)
> >    gc.collect()
> >
> >I tried to test this with Python3.3, but didn't have any issues
> >with memory increasing when using 'plt.close'.
>
>
> Thanks Albert, that indeed does the trick :)
>
> If I understand your last sentence, you are saying garbage collector
> intervention isn't needed for Python 3.3.
>
>
> Cheers
>
>

Albert Kottke wrote:
>
>I had this problem as well. I think my solution was to tell the 
>garbage collector to collect.
>
>import gc
>import numpy as np
>import matplotlib.pyplot as plt
>
>def draw_fig(arr, fn):
>    fig = plt.figure()
>    ax = fig.add_subplot(111)
>    ax.contourf(arr)
>    plt.savefig(fn)
>    plt.close(fig)
>    gc.collect()
>
>I tried to test this with Python3.3, but didn't have any issues 
>with memory increasing when using 'plt.close'.


Thanks Albert, that indeed does the trick :)

If I understand your last sentence, you are saying garbage collector intervention isn't needed for Python 3.3.


Cheers

I had this problem as well. I think my solution was to tell the garbage
collector to collect.

import gc
import numpy as np
import matplotlib.pyplot as plt

def draw_fig(arr, fn):
    fig = plt.figure()
    ax = fig.add_subplot(111)
    ax.contourf(arr)
    plt.savefig(fn)
    plt.close(fig)
    gc.collect()

I tried to test this with Python3.3, but didn't have any issues with memory
increasing when using 'plt.close'.


On Tue, May 28, 2013 at 8:04 AM, zetah <ot...@hu...> wrote:

> "zetah" wrote:
> >
> >Eric Firing wrote:
> >>
> >>        plt.close(fig)  # that should take care of it
> >
> >Thanks for your quick reply.
> >
> >I tried before posting `plt.close()` and it didn't work, but also
> >`plt.close(fig)` doesn't change memory pumping with every loop.
> >BTW, I'm on Windows with Matplotlib 1.2.1
>
> I solved the problem by using animation class. If was a bit tricky, as I
> had inner loops that also were producing plots for same sequence, and from
> what I understood about this class, iterator is "frames" argument in
> FuncAnimation() function, which also returns the frame, so you may imagine
> how I solved inner loops.
> I guess there is instrumentation for such case, but documentation about
> animation class is beyond my comprehension. Also couple of blogs explaining
> basics of FuncAnimation() function weren't very helpful to me. Maybe it's
> my limitation...
>
> Anyway, I'm still curious how to close figure from my initial message, so
> that memory won't leak. I welcome your replies
>
>
>
> ------------------------------------------------------------------------------
> Try New Relic Now & We'll Send You this Cool Shirt
> New Relic is the only SaaS-based application performance monitoring service
> that delivers powerful full stack analytics. Optimize and monitor your
> browser, app, & servers with just a few lines of code. Try New Relic
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> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

On Tue, May 28, 2013 at 4:40 PM, Michael Droettboom wrote:
> Which version of Windows are you on? Apparently, the Segoe UI font is
> different on Windows 7 and 8 and I'd like to download and test with the
> correct one.

I'm on Windows XP, but problem was with the name of the font. This
font's name is "Segoe UI" and if I reference it in matplotlibrc as
"SegoeUI" (without space), then it works in all above vector formats.
"Segoe UI" works only in PDF.

On Tue, May 28, 2013 at 3:50 AM, Nils Wagner <ni...@go...> wrote:

> Hi all,
>
> I would like to add a legend to a 3D plot.
> However, the legend ist not visible in the example given below.
> Am I missing something ?
>
> Nils
>
> import numpy as np
> from mpl_toolkits.mplot3d import Axes3D
> import matplotlib.pyplot as plt
> import random
>
> def fun(x, y):
>   return x**2 + y
> def fun1(x, y):
>   return 10+x**2 + y
>
> fig = plt.figure()
> ax = fig.add_subplot(111, projection='3d')
> x = y = np.arange(-3.0, 3.0, 0.05)
> X, Y = np.meshgrid(x, y)
> zs = np.array([fun(x,y) for x,y in zip(np.ravel(X), np.ravel(Y))])
> Z = zs.reshape(X.shape)
> zs = np.array([fun1(x,y) for x,y in zip(np.ravel(X), np.ravel(Y))])
> Z1 = zs.reshape(X.shape)
>
> ax.plot_surface(X, Y, Z, label=r'$f$')
> ax.plot_surface(X, Y, Z1,label=r'$f_1$')
>
> ax.set_xlabel('X Label')
> ax.set_ylabel('Y Label')
> ax.set_zlabel('Z Label')
> ax.legend()
> plt.show()
>
>
plot_surface() does not have any default representation in a legend.  I
have never thought about it before, but what would one want to display for
it?  It is kind of like wanting a legend entry for an imshow() or pcolor()
display.  If you have something in mind to display, I would suggest using
proxy artists.

Cheers!
Ben Root

"zetah" wrote:
>
>Eric Firing wrote:
>>
>>        plt.close(fig)  # that should take care of it
>
>Thanks for your quick reply.
>
>I tried before posting `plt.close()` and it didn't work, but also 
>`plt.close(fig)` doesn't change memory pumping with every loop.
>BTW, I'm on Windows with Matplotlib 1.2.1

I solved the problem by using animation class. If was a bit tricky, as I had inner loops that also were producing plots for same sequence, and from what I understood about this class, iterator is "frames" argument in FuncAnimation() function, which also returns the frame, so you may imagine how I solved inner loops.
I guess there is instrumentation for such case, but documentation about animation class is beyond my comprehension. Also couple of blogs explaining basics of FuncAnimation() function weren't very helpful to me. Maybe it's my limitation...

Anyway, I'm still curious how to close figure from my initial message, so that memory won't leak. I welcome your replies

Which version of Windows are you on? Apparently, the Segoe UI font is 
different on Windows 7 and 8 and I'd like to download and test with the 
correct one.

Mike

On 05/28/2013 06:12 AM, klo uo wrote:
> As suggested by Phil, I'm reposting github issue #2067 on this list.
>
> I use MPL 1.2.1 on Windows with Python 2.7.5. In my matplotlibrc I've
> set sans-serif font to "Segoe UI".
>
> Now, if I try to save a plot to PDF, MPL saves it fine, but if I try
> PS or EPS or SVG it fails, because of the font set. (If I don't change
> the font everything is fine)
>
> Here is PDF info from mutool:
> ============================================================
> PDF-1.4
> Info object (27 0 R):
> <<
>    /CreationDate (D:20130528120149+02'00')
>    /Producer (matplotlib pdf backend)
>    /Creator (matplotlib 1.2.1, http://matplotlib.sf.net)
> Pages: 1
>
> Retrieving info from pages 1-1...
> Mediaboxes (1):
>              1 (     10 0 R): [ 0 0 576 432 ]
>
> Fonts (1):
>              1 (     10 0 R): Type3 'SegoeUI' (14 0 R)
> ============================================================
>
>
> So I wonder how can MPL output PDF, but can't output PS/EPS, let aside SVG?
>
>
> And here is full trace from IPython:
> ================================================================================
> KeyError                                  Traceback (most recent call last)
> <ipython-input-63-6bec7f50eb05> in <module>()
> ----> 1 savefig('test.eps')
>
> C:\Python27\lib\site-packages\matplotlib\pyplot.pyc in savefig(*args, **kwargs)
>      470 def savefig(*args, **kwargs):
>      471     fig = gcf()
> --> 472     return fig.savefig(*args, **kwargs)
>      473
>      474 @docstring.copy_dedent(Figure.ginput)
>
> C:\Python27\lib\site-packages\matplotlib\figure.pyc in savefig(self,
> *args, **kwargs)
>     1368             kwargs.setdefault('edgecolor',
> rcParams['savefig.edgecolor'])
>     1369
> -> 1370         self.canvas.print_figure(*args, **kwargs)
>     1371
>     1372         if transparent:
>
> C:\Python27\lib\site-packages\matplotlib\backend_bases.pyc in
> print_figure(self, filename, dpi, facecolor, edgecolor, orientation,
> format, **kwargs)
>     2094                 orientation=orientation,
>     2095                 bbox_inches_restore=_bbox_inches_restore,
> -> 2096                 **kwargs)
>     2097         finally:
>     2098             if bbox_inches and restore_bbox:
>
> C:\Python27\lib\site-packages\matplotlib\backend_bases.pyc in
> print_eps(self, *args, **kwargs)
>     1841         from backends.backend_ps import FigureCanvasPS # lazy import
>     1842         ps = self.switch_backends(FigureCanvasPS)
> -> 1843         return ps.print_eps(*args, **kwargs)
>     1844
>     1845     def print_pdf(self, *args, **kwargs):
>
> C:\Python27\lib\site-packages\matplotlib\backends\backend_ps.pyc in
> print_eps(self, outfile, *args, **kwargs)
>      972
>      973     def print_eps(self, outfile, *args, **kwargs):
> --> 974         return self._print_ps(outfile, 'eps', *args, **kwargs)
>      975
>      976
>
> C:\Python27\lib\site-packages\matplotlib\backends\backend_ps.pyc in
> _print_ps(self, outfile, format, *args, **kwargs)
>     1005             self._print_figure(outfile, format, imagedpi,
> facecolor, edgecolor,
>     1006                                orientation, isLandscape, papertype,
> -> 1007                                **kwargs)
>     1008
>     1009     def _print_figure(self, outfile, format, dpi=72,
> facecolor='w', edgecolor='w',
>
> C:\Python27\lib\site-packages\matplotlib\backends\backend_ps.pyc in
> _print_figure(self, outfile, format, dpi, facecolor, edgecolor,
> orientation, isLandscape, papertype, **kwargs)
>     1098             bbox_inches_restore=_bbox_inches_restore)
>     1099
> -> 1100         self.figure.draw(renderer)
>     1101
>     1102         if dryrun: # return immediately if dryrun (tightbbox=True)
>
> C:\Python27\lib\site-packages\matplotlib\artist.pyc in
> draw_wrapper(artist, renderer, *args, **kwargs)
>       52     def draw_wrapper(artist, renderer, *args, **kwargs):
>       53         before(artist, renderer)
> ---> 54         draw(artist, renderer, *args, **kwargs)
>       55         after(artist, renderer)
>       56
>
> C:\Python27\lib\site-packages\matplotlib\figure.pyc in draw(self, renderer)
>     1004         dsu.sort(key=itemgetter(0))
>     1005         for zorder, a, func, args in dsu:
> -> 1006             func(*args)
>     1007
>     1008         renderer.close_group('figure')
>
> C:\Python27\lib\site-packages\matplotlib\artist.pyc in
> draw_wrapper(artist, renderer, *args, **kwargs)
>       52     def draw_wrapper(artist, renderer, *args, **kwargs):
>       53         before(artist, renderer)
> ---> 54         draw(artist, renderer, *args, **kwargs)
>       55         after(artist, renderer)
>       56
>
> C:\Python27\lib\site-packages\matplotlib\axes.pyc in draw(self,
> renderer, inframe)
>     2084
>     2085         for zorder, a in dsu:
> -> 2086             a.draw(renderer)
>     2087
>     2088         renderer.close_group('axes')
>
> C:\Python27\lib\site-packages\matplotlib\artist.pyc in
> draw_wrapper(artist, renderer, *args, **kwargs)
>       52     def draw_wrapper(artist, renderer, *args, **kwargs):
>       53         before(artist, renderer)
> ---> 54         draw(artist, renderer, *args, **kwargs)
>       55         after(artist, renderer)
>       56
>
> C:\Python27\lib\site-packages\matplotlib\axis.pyc in draw(self,
> renderer, *args, **kwargs)
>     1053
>     1054         for tick in ticks_to_draw:
> -> 1055             tick.draw(renderer)
>     1056
>     1057         # scale up the axis label box to also find the neighbors, not
>
> C:\Python27\lib\site-packages\matplotlib\artist.pyc in
> draw_wrapper(artist, renderer, *args, **kwargs)
>       52     def draw_wrapper(artist, renderer, *args, **kwargs):
>       53         before(artist, renderer)
> ---> 54         draw(artist, renderer, *args, **kwargs)
>       55         after(artist, renderer)
>       56
>
> C:\Python27\lib\site-packages\matplotlib\axis.pyc in draw(self, renderer)
>      238
>      239         if self.label1On:
> --> 240             self.label1.draw(renderer)
>      241         if self.label2On:
>      242             self.label2.draw(renderer)
>
> C:\Python27\lib\site-packages\matplotlib\artist.pyc in
> draw_wrapper(artist, renderer, *args, **kwargs)
>       52     def draw_wrapper(artist, renderer, *args, **kwargs):
>       53         before(artist, renderer)
> ---> 54         draw(artist, renderer, *args, **kwargs)
>       55         after(artist, renderer)
>       56
>
> C:\Python27\lib\site-packages\matplotlib\text.pyc in draw(self, renderer)
>      594                     renderer.draw_text(gc, x, y, clean_line,
>      595                                        self._fontproperties, angle,
> --> 596                                        ismath=ismath)
>      597
>      598         gc.restore()
>
> C:\Python27\lib\site-packages\matplotlib\backends\backend_ps.pyc in
> draw_text(self, gc, x, y, s, prop, angle, ismath)
>      749
>      750             self.set_color(*gc.get_rgb())
> --> 751             self.set_font(font.get_sfnt()[(1,0,0,6)],
> prop.get_size_in_points())
>      752
>      753             cmap = font.get_charmap()
>
> KeyError: (1, 0, 0, 6)
> ================================================================================
>
> ------------------------------------------------------------------------------
> Try New Relic Now & We'll Send You this Cool Shirt
> New Relic is the only SaaS-based application performance monitoring service
> that delivers powerful full stack analytics. Optimize and monitor your
> browser, app, & servers with just a few lines of code. Try New Relic
> and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_may
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi, 


Gregorio Bastardo wrote
> When I use the "Zoom-to-rectangle" button of
> the navigation toolbar while holding the x or y key, sometimes nothing
> happens when the mouse is released.

I have also experienced the same behavior, and I still don't know what it
exactly depends on. It works most of the time, but sometimes it is almost
impossible to zoom to the desired area.


Gregorio Bastardo wrote
> python 2.7.4 win32
> matplotlib 1.1.1 and 1.2.1
> PyQt4 QtCore 4.8.3
> PySide QtCore 4.8.3
> PySide 1.1.2

I have python 2.7.3 win32 with matplotlib 1.1.1 and PySide 1.1.2, but it is
the same with the default Tk backend as well.

Any help would be appreciated.

Thanks,
Tom



--
View this message in context: http://matplotlib.1069221.n5.nabble.com/constrained-rectangular-zoom-does-not-always-work-with-Qt4-backend-tp41108p41142.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

As suggested by Phil, I'm reposting github issue #2067 on this list.

I use MPL 1.2.1 on Windows with Python 2.7.5. In my matplotlibrc I've
set sans-serif font to "Segoe UI".

Now, if I try to save a plot to PDF, MPL saves it fine, but if I try
PS or EPS or SVG it fails, because of the font set. (If I don't change
the font everything is fine)

Here is PDF info from mutool:
============================================================
PDF-1.4
Info object (27 0 R):
<<
  /CreationDate (D:20130528120149+02'00')
  /Producer (matplotlib pdf backend)
  /Creator (matplotlib 1.2.1, http://matplotlib.sf.net)
>>

Pages: 1

Retrieving info from pages 1-1...
Mediaboxes (1):
            1 (     10 0 R): [ 0 0 576 432 ]

Fonts (1):
            1 (     10 0 R): Type3 'SegoeUI' (14 0 R)
============================================================


So I wonder how can MPL output PDF, but can't output PS/EPS, let aside SVG?


And here is full trace from IPython:
================================================================================
KeyError                                  Traceback (most recent call last)
<ipython-input-63-6bec7f50eb05> in <module>()
----> 1 savefig('test.eps')

C:\Python27\lib\site-packages\matplotlib\pyplot.pyc in savefig(*args, **kwargs)
    470 def savefig(*args, **kwargs):
    471     fig = gcf()
--> 472     return fig.savefig(*args, **kwargs)
    473
    474 @docstring.copy_dedent(Figure.ginput)

C:\Python27\lib\site-packages\matplotlib\figure.pyc in savefig(self,
*args, **kwargs)
   1368             kwargs.setdefault('edgecolor',
rcParams['savefig.edgecolor'])
   1369
-> 1370         self.canvas.print_figure(*args, **kwargs)
   1371
   1372         if transparent:

C:\Python27\lib\site-packages\matplotlib\backend_bases.pyc in
print_figure(self, filename, dpi, facecolor, edgecolor, orientation,
format, **kwargs)
   2094                 orientation=orientation,
   2095                 bbox_inches_restore=_bbox_inches_restore,
-> 2096                 **kwargs)
   2097         finally:
   2098             if bbox_inches and restore_bbox:

C:\Python27\lib\site-packages\matplotlib\backend_bases.pyc in
print_eps(self, *args, **kwargs)
   1841         from backends.backend_ps import FigureCanvasPS # lazy import
   1842         ps = self.switch_backends(FigureCanvasPS)
-> 1843         return ps.print_eps(*args, **kwargs)
   1844
   1845     def print_pdf(self, *args, **kwargs):

C:\Python27\lib\site-packages\matplotlib\backends\backend_ps.pyc in
print_eps(self, outfile, *args, **kwargs)
    972
    973     def print_eps(self, outfile, *args, **kwargs):
--> 974         return self._print_ps(outfile, 'eps', *args, **kwargs)
    975
    976

C:\Python27\lib\site-packages\matplotlib\backends\backend_ps.pyc in
_print_ps(self, outfile, format, *args, **kwargs)
   1005             self._print_figure(outfile, format, imagedpi,
facecolor, edgecolor,
   1006                                orientation, isLandscape, papertype,
-> 1007                                **kwargs)
   1008
   1009     def _print_figure(self, outfile, format, dpi=72,
facecolor='w', edgecolor='w',

C:\Python27\lib\site-packages\matplotlib\backends\backend_ps.pyc in
_print_figure(self, outfile, format, dpi, facecolor, edgecolor,
orientation, isLandscape, papertype, **kwargs)
   1098             bbox_inches_restore=_bbox_inches_restore)
   1099
-> 1100         self.figure.draw(renderer)
   1101
   1102         if dryrun: # return immediately if dryrun (tightbbox=True)

C:\Python27\lib\site-packages\matplotlib\artist.pyc in
draw_wrapper(artist, renderer, *args, **kwargs)
     52     def draw_wrapper(artist, renderer, *args, **kwargs):
     53         before(artist, renderer)
---> 54         draw(artist, renderer, *args, **kwargs)
     55         after(artist, renderer)
     56

C:\Python27\lib\site-packages\matplotlib\figure.pyc in draw(self, renderer)
   1004         dsu.sort(key=itemgetter(0))
   1005         for zorder, a, func, args in dsu:
-> 1006             func(*args)
   1007
   1008         renderer.close_group('figure')

C:\Python27\lib\site-packages\matplotlib\artist.pyc in
draw_wrapper(artist, renderer, *args, **kwargs)
     52     def draw_wrapper(artist, renderer, *args, **kwargs):
     53         before(artist, renderer)
---> 54         draw(artist, renderer, *args, **kwargs)
     55         after(artist, renderer)
     56

C:\Python27\lib\site-packages\matplotlib\axes.pyc in draw(self,
renderer, inframe)
   2084
   2085         for zorder, a in dsu:
-> 2086             a.draw(renderer)
   2087
   2088         renderer.close_group('axes')

C:\Python27\lib\site-packages\matplotlib\artist.pyc in
draw_wrapper(artist, renderer, *args, **kwargs)
     52     def draw_wrapper(artist, renderer, *args, **kwargs):
     53         before(artist, renderer)
---> 54         draw(artist, renderer, *args, **kwargs)
     55         after(artist, renderer)
     56

C:\Python27\lib\site-packages\matplotlib\axis.pyc in draw(self,
renderer, *args, **kwargs)
   1053
   1054         for tick in ticks_to_draw:
-> 1055             tick.draw(renderer)
   1056
   1057         # scale up the axis label box to also find the neighbors, not

C:\Python27\lib\site-packages\matplotlib\artist.pyc in
draw_wrapper(artist, renderer, *args, **kwargs)
     52     def draw_wrapper(artist, renderer, *args, **kwargs):
     53         before(artist, renderer)
---> 54         draw(artist, renderer, *args, **kwargs)
     55         after(artist, renderer)
     56

C:\Python27\lib\site-packages\matplotlib\axis.pyc in draw(self, renderer)
    238
    239         if self.label1On:
--> 240             self.label1.draw(renderer)
    241         if self.label2On:
    242             self.label2.draw(renderer)

C:\Python27\lib\site-packages\matplotlib\artist.pyc in
draw_wrapper(artist, renderer, *args, **kwargs)
     52     def draw_wrapper(artist, renderer, *args, **kwargs):
     53         before(artist, renderer)
---> 54         draw(artist, renderer, *args, **kwargs)
     55         after(artist, renderer)
     56

C:\Python27\lib\site-packages\matplotlib\text.pyc in draw(self, renderer)
    594                     renderer.draw_text(gc, x, y, clean_line,
    595                                        self._fontproperties, angle,
--> 596                                        ismath=ismath)
    597
    598         gc.restore()

C:\Python27\lib\site-packages\matplotlib\backends\backend_ps.pyc in
draw_text(self, gc, x, y, s, prop, angle, ismath)
    749
    750             self.set_color(*gc.get_rgb())
--> 751             self.set_font(font.get_sfnt()[(1,0,0,6)],
prop.get_size_in_points())
    752
    753             cmap = font.get_charmap()

KeyError: (1, 0, 0, 6)
================================================================================

Eric Firing wrote:
>
>        plt.close(fig)  # that should take care of it

Thanks for your quick reply.

I tried before posting `plt.close()` and it didn't work, but also `plt.close(fig)` doesn't change memory pumping with every loop.
BTW, I'm on Windows with Matplotlib 1.2.1

On 2013/05/27 9:51 PM, zetah wrote:
> Hi,
>
> if I use something like this:
>
> ==================================================
> import numpy as np
> import matplotlib.pyplot as plt
>
> def draw_fig(arr, fn):
>      fig = plt.figure()
>      ax = fig.add_subplot(111)
>      ax.contourf(arr)
>      plt.savefig(fn)

        plt.close(fig)  # that should take care of it

>
> if __name__ == '__main__':
> 	for i in range(10):
> 		draw_fig(np.random.random((10, 10)), 'fig_%02d.png' % i)
> ==================================================
>
> memory usage grows with every loop, so I can't plot this way many sequences.
>
> I know there is animation class in Matplotlib, but this way is easier to me, and I think I miss something fundamental because this is happening. How can I avoid memory leak using this approach?
>
> Thanks
>
>
> ------------------------------------------------------------------------------
> Try New Relic Now & We'll Send You this Cool Shirt
> New Relic is the only SaaS-based application performance monitoring service
> that delivers powerful full stack analytics. Optimize and monitor your
> browser, app, & servers with just a few lines of code. Try New Relic
> and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_may
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi,

if I use something like this:

==================================================
import numpy as np
import matplotlib.pyplot as plt

def draw_fig(arr, fn):
    fig = plt.figure()
    ax = fig.add_subplot(111)
    ax.contourf(arr)
    plt.savefig(fn)

if __name__ == '__main__':
	for i in range(10):
		draw_fig(np.random.random((10, 10)), 'fig_%02d.png' % i)
==================================================

memory usage grows with every loop, so I can't plot this way many sequences.

I know there is animation class in Matplotlib, but this way is easier to me, and I think I miss something fundamental because this is happening. How can I avoid memory leak using this approach?

Thanks

Hi all,

I would like to add a legend to a 3D plot.
However, the legend ist not visible in the example given below.
Am I missing something ?

Nils

import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import random

def fun(x, y):
  return x**2 + y
def fun1(x, y):
  return 10+x**2 + y

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x = y = np.arange(-3.0, 3.0, 0.05)
X, Y = np.meshgrid(x, y)
zs = np.array([fun(x,y) for x,y in zip(np.ravel(X), np.ravel(Y))])
Z = zs.reshape(X.shape)
zs = np.array([fun1(x,y) for x,y in zip(np.ravel(X), np.ravel(Y))])
Z1 = zs.reshape(X.shape)

ax.plot_surface(X, Y, Z, label=r'$f$')
ax.plot_surface(X, Y, Z1,label=r'$f_1$')

ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')
ax.legend()
plt.show()