Re: [Matplotlib-users] BUG: RuntimeError: dictionary changed size during iteration
Does this pull request: https://github.com/matplotlib/matplotlib/pull/1697 fix your issue? I have no way of knowing without a test case... Mike On 01/22/2013 08:33 AM, Massimiliano Costacurta wrote: Hello everyone, in my program I'm encountering an error when calling the function axes.set_xticks (Matplotlib 1.2.0 on python 2.7-64 bit). It is really difficult for me to build a test case, because my program is really complex. Here is the error traceback: File "C:\Python27\Lib\site-packages\matplotlib\axes.py", line 2596, in set_xticks return self.xaxis.set_ticks(ticks, minor=minor) File "C:\Python27\Lib\site-packages\matplotlib\axis.py", line 1489, in set_ticks self.set_view_interval(min(ticks), max(ticks)) File "C:\Python27\Lib\site-packages\matplotlib\axis.py", line 1771, in set_view_interval max(vmin, vmax, Vmax)) File "C:\Python27\Lib\site-packages\matplotlib\transforms.py", line 932, in _set_intervalx self.invalidate() File "C:\Python27\Lib\site-packages\matplotlib\transforms.py", line 131, in invalidate return self._invalidate_internal(value, invalidating_node=self) File "C:\Python27\Lib\site-packages\matplotlib\transforms.py", line 155, in _invalidate_internal invalidating_node=self) File "C:\Python27\Lib\site-packages\matplotlib\transforms.py", line 155, in _invalidate_internal invalidating_node=self) File "C:\Python27\Lib\site-packages\matplotlib\transforms.py", line 155, in _invalidate_internal invalidating_node=self) File "C:\Python27\Lib\site-packages\matplotlib\transforms.py", line 2141, in _invalidate_internal invalidating_node=invalidating_node) File "C:\Python27\Lib\site-packages\matplotlib\transforms.py", line 155, in _invalidate_internal invalidating_node=self) File "C:\Python27\Lib\site-packages\matplotlib\transforms.py", line 2141, in _invalidate_internal invalidating_node=invalidating_node) File "C:\Python27\Lib\site-packages\matplotlib\transforms.py", line 153, in _invalidate_internal for parent in self._parents.itervalues(): File "C:\Python27\Lib\weakref.py", line 147, in itervalues for wr in self.data.itervalues(): RuntimeError: dictionary changed size during iteration I googled and found that this is a well known bug due to the use of self.data.itervalues() in the for loop (i think the correct syntax should be for wr in iter(self.data.items()). So I would like to point out the bug (if it is) to the matplotlib guys, how can I do it? In the meantime, how can I work around it without changing the source code? Thanks in advance! -- Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] append to or concatenate PathCollection objects?
Sterling,
I have version 1.2.0. I read the legend guide. Which thing should be
possible? If you mean giving the points as a tuple, here's some simple
test code:
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
p1 = ax.scatter([0.1],[0.5],c='r',marker='s')
p2 = ax.scatter([0.3],[0.2],c='b',marker='o')
l = ax.legend((p1,p2),['points'],scatterpoints=2)
plt.show()
I get a legend with only red squares. What I want is a legend line with
a red square and a blue circle. I can get points with different colors
if I do:
p1 = ax.scatter([0.1,0.3],[0.5,0.2],c=('r','b'),marker='s')
l = ax.legend(['points'],scatterpoints=2)
(though as far as I can tell, you can't have a sequence of marker
types).
Jon
On Wed, 2013-01-23 at 09:57 -0800, Sterling Smith wrote:
> Jon,
>
> What version of matplotlib do you have? According to
> http://matplotlib.org/users/legend_guide.html
> what you say should be possible in 1.2.0.
>
> -Sterling
>
> On Jan 23, 2013, at 9:35AM, Jonathan Slavin wrote:
>
> > Hi,
> >
> > I'm wondering if there is some straightforward way to combine two
> > PathCollection objects to create a new PathCollection object. My goal
> > is to include two points that use different axes (one twin'ed to the
> > other) into a single legend item (different point types, same label).
> > Each call to scatter creates a new PathCollection object. If I could
> > just combine two (or more) PathCollection objects -- either extending
> > them or concatenating or whatever -- then I could give that to legend
> > and it would work correctly. But it's not clear to me how I can do
> > that. I tried providing the two objects as a tuple to legend, but it
> > doesn't work (only point characteristics of one of them is used).
> >
> > Really, I think this should be easier -- both the combining of such
> > objects (which after all, are collections) and providing legend with
> > simple arguments to produce what you want. As far as I can tell I can't
> > just tell leged directly the symbol type(s) and colors of point(s) per
> > each label. Though in general the automatic method whereby you provide
> > the object to the legend is nice and easy, a more crude and direct way
> > would be a good option for special cases.
> >
> > Jon
> > --
> > __
> > Jonathan D. Slavin Harvard-Smithsonian CfA
> > jsla...@cfa.harvard.edu 60 Garden Street, MS 83
> > phone: (617) 496-7981 Cambridge, MA 02138-1516
> > cell: (781) 363-0035 USA
> > __
> >
> >
> > --
> > Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS,
> > MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current
> > with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft
> > MVPs and experts. ON SALE this month only -- learn more at:
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>
--
__
Jonathan D. Slavin Harvard-Smithsonian CfA
jsla...@cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
__
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Re: [Matplotlib-users] getting the dimensions of an axes
On Mon, Jan 21, 2013 at 4:28 AM, Kelson Zawack wrote: > a heat map and want to label each row. I thus need the font > size of the text to scale with the number of rows in the heat map. Is > Assuming you start out with this: import matplotlib.pyplot as plt fig, ax1 = plt.subplots() You can then do this: figsize = fig.get_size_inches() ax_pos = ax1.get_position().get_points() The variable figsize is now a array of the figure's width and height. And ax_pos is an array with the first row being the x-y location of the lower left corner of the axes on the figure in figure fraction coordinates. The second row is the width and height of the axes, again expressed as a fraction of the total figure dimensions. Hope that helps, -paul -- Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] append to or concatenate PathCollection objects?
Hi, I'm wondering if there is some straightforward way to combine two PathCollection objects to create a new PathCollection object. My goal is to include two points that use different axes (one twin'ed to the other) into a single legend item (different point types, same label). Each call to scatter creates a new PathCollection object. If I could just combine two (or more) PathCollection objects -- either extending them or concatenating or whatever -- then I could give that to legend and it would work correctly. But it's not clear to me how I can do that. I tried providing the two objects as a tuple to legend, but it doesn't work (only point characteristics of one of them is used). Really, I think this should be easier -- both the combining of such objects (which after all, are collections) and providing legend with simple arguments to produce what you want. As far as I can tell I can't just tell leged directly the symbol type(s) and colors of point(s) per each label. Though in general the automatic method whereby you provide the object to the legend is nice and easy, a more crude and direct way would be a good option for special cases. Jon -- __ Jonathan D. Slavin Harvard-Smithsonian CfA jsla...@cfa.harvard.edu 60 Garden Street, MS 83 phone: (617) 496-7981 Cambridge, MA 02138-1516 cell: (781) 363-0035 USA __ -- Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] dash length for dashed contours
Hi all, [TL;DR: is it possible to control the length of the dashes in dashed contours, if so how?] I'd like to be able to control the length of dashes for dashed contours. My motivation is that I'm making a contour plot that uses dashes for the negative contours, and the plot needs to be a specific (small) size for the particular journal, so the small size of the plot makes the dashes look rather long and is a problem for some tight contours. I have tried using some a dashes-style argument for the linestyles keyword of contour but I can't get it to work (although I appreciate it is not documented as something one can do). For example I tried: import matplotlib.pyplot as plt import numpy as np x = y = np.linspace(-np.pi, np.pi, 100) X, Y = np.meshgrid(x, y) Z = np.sin(X) * np.cos(Y) plt.contour(x, y, Z, linestyles=[(3, 3)]) plt.show() This fails at the point where I show (or save, doesn't matter which backend) the plot with a PyCXX error: TypeError: PyCXX: Error creating object of type N2Py7SeqBaseINS_6ObjectEEE from 3 I've fiddled with several other styles of argument and all fail in a similar way. What I'd like to know is: is it possible to control the dash length of dashed contours at all? It seems like it should be as one can do this with lines easy enough. I looked through the code, and a dashes-style argument seems to get passed through the stack correctly, but fails when the Collection is drawn. It would be a really nice feature if this could be implemented in matplotlib. Thanks, Andrew -- Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
