[Matplotlib-users] Interactive selecting a quadrilateral from a axes
Hi, I have a plot of an image of which I'd like to interactively select a quadrilateral. This is for a homography operation (perspective correction). It suffices if the quadrilateral can be dragged by only its vertices (display the vertices as rects or circled to click within). In principle I want to implement a tool similar to the Perspective tool of The GIMP in corrective mode. The whole image processing and geometric transformation is already implemented, but now I need a user interface. Since I'm already making heavy use of Matplotlib I'd like to stay within this. After the user applied the homography the next step is placing the calibration markers, which would be basically one axvline and two axhlines to be dragged to reference points on the previously perspective corrected image. How do I implement such interaction elements? Wolfgang -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Interactive selecting a quadrilateral from a axes
On Wed, Jul 11, 2012 at 8:35 AM, Wolfgang Draxinger wdraxinger.maill...@draxit.de wrote: Hi, I have a plot of an image of which I'd like to interactively select a quadrilateral. This is for a homography operation (perspective correction). It suffices if the quadrilateral can be dragged by only its vertices (display the vertices as rects or circled to click within). In principle I want to implement a tool similar to the Perspective tool of The GIMP in corrective mode. The whole image processing and geometric transformation is already implemented, but now I need a user interface. Since I'm already making heavy use of Matplotlib I'd like to stay within this. After the user applied the homography the next step is placing the calibration markers, which would be basically one axvline and two axhlines to be dragged to reference points on the previously perspective corrected image. How do I implement such interaction elements? Wolfgang Hi Wolfgang, You can find a decent start to this in the event handling examples. The poly editor demo is particularly useful: http://matplotlib.sourceforge.net/examples/event_handling/poly_editor.html Awhile back, I wrote a tool for my own work. It probably needs a little cleanup, but it works. I've posted it as a gist if you want to try it out: https://gist.github.com/3090704 At some point, I had problems with it on certain backends, so you may need to uncomment the 'tkagg' line. In any case, it seems to work fine with my current backend (qt4agg). Cheers, -Tony -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Saving animation with coloured background
Hi I'm trying to save a animation, which I've generated using animation.FuncAnimation. The animation has it's background set by plt.rcParams['figure.facecolor'] = 'black' Which works with plt.show(), though not with animation save. I know that plt.save needs the argument facecolor to save a figure with a given background, but the animations save does not like such an argument. What am I doing wrong? Kind regards Pål -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] ANN: mpltools 0.1 release
On Tue, Jul 10, 2012 at 05:36:50PM -0400, Tony Yu wrote: On Tue, Jul 10, 2012 at 1:52 PM, John Hunter jdh2...@gmail.com wrote: On Tue, Jul 10, 2012 at 12:49 PM, Damon McDougall damon.mcdoug...@gmail.com wrote: Would there be any interest in porting some of that functionality into the main mpl codebase? Like Ben said, that error function is nifty... :) I also think the styles would be widely appreciated, and we might get more styles contributors if it was part of the mainline. We'd ideally like to be able to support remote styles, eg via gist. Nice stuff, Tony. Damon and John: Thanks for your interest. I would be happy to help port anything that can find a home in Matplotlib. I'm low on bandwidth, so if I'm too slow with any of it, feel free to grab the code and submit your own PR for the port (just let me know so we don't duplicate our efforts). Well, as Ben said, that error fill plot is neato! It doesn't look too complicated, either. I'd be more than happy to port it over later today when I get bored of typing up my thesis. It'll probably only take me about 30 minutes. If nobody is opposed to this idea, I'll go ahead and submit a PR this evening (British Summer (hah!) Time). -- Damon McDougall http://damon-is-a-geek.com B2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] ANN: mpltools 0.1 release
On Wed, Jul 11, 2012 at 10:09 AM, Damon McDougall damon.mcdoug...@gmail.com wrote: Well, as Ben said, that error fill plot is neato! It doesn't look too complicated, either. I'd be more than happy to port it over later today when I get bored of typing up my thesis. It'll probably only take me about 30 minutes. If nobody is opposed to this idea, I'll go ahead and submit a PR this evening (British Summer (hah!) Time). While it is a nice graph, I am not sure that the use case is common enough to justify a new plotting method. One can get the same result with: In [68]: x = np.linspace(0, 2 * np.pi) In [69]: y_sin = np.sin(x) In [70]: err = np.concatenate([y_sin + 0.2, y_sin[::-1] - 0.2]) In [71]: plot(x, y_sin) Out[71]: [matplotlib.lines.Line2D object at 0x96959ec] In [72]: fill_between(np.concatenate([x, x[::-1]]), err, facecolor='red', alpha=0.5) Out[72]: matplotlib.collections.PolyCollection object at 0x962758c Admittedly the [::-1] thing is a bit counter-intuitive, but rather than adding a new plotting method, perhaps we would be better off with a helper method to create the xs and ys for fill_between xs, ys = mlab.pad_line(x, y, 0.2) fill_between(xs, ys) JDH -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] ANN: mpltools 0.1 release
On Wed, Jul 11, 2012 at 11:23 AM, John Hunter jdh2...@gmail.com wrote: On Wed, Jul 11, 2012 at 10:09 AM, Damon McDougall damon.mcdoug...@gmail.com wrote: Well, as Ben said, that error fill plot is neato! It doesn't look too complicated, either. I'd be more than happy to port it over later today when I get bored of typing up my thesis. It'll probably only take me about 30 minutes. If nobody is opposed to this idea, I'll go ahead and submit a PR this evening (British Summer (hah!) Time). While it is a nice graph, I am not sure that the use case is common enough to justify a new plotting method. One can get the same result with: In [68]: x = np.linspace(0, 2 * np.pi) In [69]: y_sin = np.sin(x) In [70]: err = np.concatenate([y_sin + 0.2, y_sin[::-1] - 0.2]) In [71]: plot(x, y_sin) Out[71]: [matplotlib.lines.Line2D object at 0x96959ec] In [72]: fill_between(np.concatenate([x, x[::-1]]), err, facecolor='red', alpha=0.5) Out[72]: matplotlib.collections.PolyCollection object at 0x962758c Admittedly the [::-1] thing is a bit counter-intuitive, but rather than adding a new plotting method, perhaps we would be better off with a helper method to create the xs and ys for fill_between xs, ys = mlab.pad_line(x, y, 0.2) fill_between(xs, ys) JDH At the very least, it should be added to the gallery. Also, one thing that might (or might not) get in the way of getting merged into mainline mpl is how well it interacts with legends. What does it produce in the legend? Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Saving animation with coloured background
On Wed, Jul 11, 2012 at 10:41 AM, Pål Gunnar Ellingsen paa...@gmail.comwrote: Hi I'm trying to save a animation, which I've generated using animation.FuncAnimation. The animation has it's background set by plt.rcParams['figure.facecolor'] = 'black' Which works with plt.show(), though not with animation save. I know that plt.save needs the argument facecolor to save a figure with a given background, but the animations save does not like such an argument. What am I doing wrong? Kind regards Pål You aren't doing anything wrong. It is most likely an oversight on our part to not consider that use-case. Could you file a bug report about this? Cheers! Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Two panels (wxPython) containing separate figures
Hi all, I am currently trying to have two panels each with their own figure instance so they can have separate plots. I can successfully update a plot if there is only one panel. As soon as I add a second panel, I get the following error when I try to update (replot) a plot (Showing last message only): File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/axes.py, line 1374, in _sci Argument must be an image, collection, or ContourSet in this Axes) ValueError: Argument must be an image, collection, or ContourSet in this Axes I looked online first and one site suggested it was because I was using matplotlib.Figure instead of pylab.Figure. I switched and the problem still occurs. I was curious to see if this problem had to do with how I set up my program, not with matplotlib, so I wrote a little test program. The exact same problem occurs. I have attached the test program. To see that it does work with just one panel comment out lines 39, 41, and 49. When put back in, I get the above error message. Any suggestions as to how to fix this? Thanks! Josh import wx import networkx as nx import matplotlib.pylab as plt from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas def my_plot(figure): figure.clear() G = nx.star_graph(15) axes = figure.add_subplot(1,1,1) nx.draw_networkx(G, ax=axes) class PanelOne(wx.Panel): def __init__(self, my_parent, my_id=wx.ID_ANY): wx.Panel.__init__(self, parent=my_parent, id=my_id) self.figure = plt.figure() self.figure.add_subplot(1,1,1) self.canvas = FigureCanvas(self, wx.ID_ANY, self.figure) def update_display(self): my_plot(self.figure) def close(self): plt.close() class PanelTwo(wx.Panel): def __init__(self, my_parent, my_id=wx.ID_ANY): wx.Panel.__init__(self, parent=my_parent, id=my_id) self.figure = plt.figure() self.figure.add_subplot(1,1,1) self.canvas = FigureCanvas(self, wx.ID_ANY, self.figure) def update_display(self): my_plot(self.figure) def close(self): plt.close() class MyFrame(wx.Frame): def __init__(self, parent): wx.Frame.__init__(self,parent=parent) self.h_sizer = wx.BoxSizer(wx.HORIZONTAL) self.panel1 = PanelOne(self) self.panel2 = PanelTwo(self) self.h_sizer.Add(self.panel1) self.h_sizer.Add(self.panel2) self.panel1.update_display() self.SetSizer(self.h_sizer) self.Fit() self.Bind(wx.EVT_CLOSE, self.OnExit) def OnExit(self, event): self.panel1.close() self.panel2.close() self.Destroy() if __name__ == __main__: app = wx.App(False) frame = MyFrame(None) frame.Show(True) app.MainLoop() -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Two panels (wxPython) containing separate figures
To get rid of the networkx dependency, I just replaced my_plot() with this: def my_plot(figure): figure.clear() axes = figure.add_subplot(1,1,1) axes.plot([0,1,2],[2,3,4]) and also added self.panel2.update_display() in the constructor for MyFrame, and everything worked fine. Could it be networkx caching a reference to a figure or axes that is really the problem? Can you post the full stack trace instead of just the last line? On Wed, Jul 11, 2012 at 12:45 PM, Joshua Koehler jjkoehl...@gmail.comwrote: Hi all, I am currently trying to have two panels each with their own figure instance so they can have separate plots. I can successfully update a plot if there is only one panel. As soon as I add a second panel, I get the following error when I try to update (replot) a plot (Showing last message only): File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/axes.py, line 1374, in _sci Argument must be an image, collection, or ContourSet in this Axes) ValueError: Argument must be an image, collection, or ContourSet in this Axes I looked online first and one site suggested it was because I was using matplotlib.Figure instead of pylab.Figure. I switched and the problem still occurs. I was curious to see if this problem had to do with how I set up my program, not with matplotlib, so I wrote a little test program. The exact same problem occurs. I have attached the test program. To see that it does work with just one panel comment out lines 39, 41, and 49. When put back in, I get the above error message. Any suggestions as to how to fix this? Thanks! Josh -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Daniel Hyams dhy...@gmail.com -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] ANN: mpltools 0.1 release
On Wed, Jul 11, 2012 at 11:27 AM, Benjamin Root ben.r...@ou.edu wrote: On Wed, Jul 11, 2012 at 11:23 AM, John Hunter jdh2...@gmail.com wrote: On Wed, Jul 11, 2012 at 10:09 AM, Damon McDougall damon.mcdoug...@gmail.com wrote: Well, as Ben said, that error fill plot is neato! It doesn't look too complicated, either. I'd be more than happy to port it over later today when I get bored of typing up my thesis. It'll probably only take me about 30 minutes. If nobody is opposed to this idea, I'll go ahead and submit a PR this evening (British Summer (hah!) Time). While it is a nice graph, I am not sure that the use case is common enough to justify a new plotting method. One can get the same result with: In [68]: x = np.linspace(0, 2 * np.pi) In [69]: y_sin = np.sin(x) In [70]: err = np.concatenate([y_sin + 0.2, y_sin[::-1] - 0.2]) In [71]: plot(x, y_sin) Out[71]: [matplotlib.lines.Line2D object at 0x96959ec] In [72]: fill_between(np.concatenate([x, x[::-1]]), err, facecolor='red', alpha=0.5) Out[72]: matplotlib.collections.PolyCollection object at 0x962758c Admittedly the [::-1] thing is a bit counter-intuitive, but rather than adding a new plotting method, perhaps we would be better off with a helper method to create the xs and ys for fill_between xs, ys = mlab.pad_line(x, y, 0.2) fill_between(xs, ys) JDH At the very least, it should be added to the gallery. Also, one thing that might (or might not) get in the way of getting merged into mainline mpl is how well it interacts with legends. What does it produce in the legend? Ben Root As I said before, it is a really simple function: I wrote `errorfill` just to get an interface that is somewhat similar to `errorbar`. I tend to think that the Axes object is a bit bloated, so I'm inclined to agree that it might be best leave it out of matplotlib-proper. +1 on the gallery, though. Ben: Good point about the legend-interaction. I just added a fix on github; here's the result: http://tonysyu.github.com/mpltools/auto_examples/special/plot_errorfill.html Cheers, -Tony -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Two panels (wxPython) containing separate figures
On Wed, Jul 11, 2012 at 12:45 PM, Joshua Koehler jjkoehl...@gmail.comwrote: Hi all, I am currently trying to have two panels each with their own figure instance so they can have separate plots. I can successfully update a plot if there is only one panel. As soon as I add a second panel, I get the following error when I try to update (replot) a plot (Showing last message only): File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/axes.py, line 1374, in _sci Argument must be an image, collection, or ContourSet in this Axes) ValueError: Argument must be an image, collection, or ContourSet in this Axes I looked online first and one site suggested it was because I was using matplotlib.Figure instead of pylab.Figure. I switched and the problem still occurs. I was curious to see if this problem had to do with how I set up my program, not with matplotlib, so I wrote a little test program. The exact same problem occurs. I have attached the test program. To see that it does work with just one panel comment out lines 39, 41, and 49. When put back in, I get the above error message. Any suggestions as to how to fix this? Thanks! Josh Josh, Can you please post the entire traceback? My suspicion for what is happening is that both figures are sharing the same canvas, but I am not exactly sure. Anyway, when you perform a plot on one panel, you are calling clear() for that figure, which may be having side-effects for the other figure since it is attached to the same Wx object. Actually, looking over your code again, I see a few things that may or may not be part of the problem, but should be addressed, nevertheless. First, you are calling FigureCanvas and assigning it to self.canvas. This canvas is different from the canvas that the figure will actually use, so I am not sure if this is being done correctly. Second, your call to plt.close() assumes that the figure you want to close is the currently active figure. What you want to call is plt.close(self.figure) in order to make sure it closes the figure you intend to close. Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Two panels (wxPython) containing separate figures
Just from morbid curiosity, I installed networkx to see if I could see what is going on. And the answer to your original question is that no, matplotlib doesn't have problems with multiple wx panels; I do this all the time. Basically what is going on is that pylab is being used inside of networkx to issue the plotting commands. That's a bad idea in general, because of just this type of situation. Without getting in there and trying to fix networkx, I can at least make your script work by inserting this line: def my_plot(figure): figure.clear() plt.figure(figure.number) --- G = nx.star_graph(15) axes = figure.add_subplot(1,1,1) nx.draw_networkx(G, ax=axes) to make sure that before nx.draw_networkx is invoked, the correct figure is current. That's a kludge, but it does work. The proper solution is to modify networkx to use the api's properly. In particular, the glaring one is right at the top of site-packages/networkx/drawing/nx_pylab.py, line 119; that cf = pylab.gcf() should at least be if ax is None: cf = pylab.gcf() else: cf = ax.get_figure() [I think] The above should be reported to the networkx authors. On Wed, Jul 11, 2012 at 1:02 PM, Daniel Hyams dhy...@gmail.com wrote: To get rid of the networkx dependency, I just replaced my_plot() with this: def my_plot(figure): figure.clear() axes = figure.add_subplot(1,1,1) axes.plot([0,1,2],[2,3,4]) and also added self.panel2.update_display() in the constructor for MyFrame, and everything worked fine. Could it be networkx caching a reference to a figure or axes that is really the problem? Can you post the full stack trace instead of just the last line? On Wed, Jul 11, 2012 at 12:45 PM, Joshua Koehler jjkoehl...@gmail.comwrote: Hi all, I am currently trying to have two panels each with their own figure instance so they can have separate plots. I can successfully update a plot if there is only one panel. As soon as I add a second panel, I get the following error when I try to update (replot) a plot (Showing last message only): File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/axes.py, line 1374, in _sci Argument must be an image, collection, or ContourSet in this Axes) ValueError: Argument must be an image, collection, or ContourSet in this Axes I looked online first and one site suggested it was because I was using matplotlib.Figure instead of pylab.Figure. I switched and the problem still occurs. I was curious to see if this problem had to do with how I set up my program, not with matplotlib, so I wrote a little test program. The exact same problem occurs. I have attached the test program. To see that it does work with just one panel comment out lines 39, 41, and 49. When put back in, I get the above error message. Any suggestions as to how to fix this? Thanks! Josh -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Daniel Hyams dhy...@gmail.com -- Daniel Hyams dhy...@gmail.com -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Two panels (wxPython) containing separate figures
Here is the full traceback from the sample program: Traceback (most recent call last): File panel_test.py, line 54, in module frame = MyFrame(None) File panel_test.py, line 42, in __init__ self.panel1.update_display() File panel_test.py, line 19, in update_display my_plot(self.figure) File panel_test.py, line 10, in my_plot nx.draw_networkx(G, ax=axes) File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/networkx/drawing/nx_pylab.py, line 269, in draw_networkx node_collection=draw_networkx_nodes(G, pos, **kwds) File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/networkx/drawing/nx_pylab.py, line 392, in draw_networkx_nodes pylab.sci(node_collection) File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/pyplot.py, line 226, in sci gca()._sci(im) File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/axes.py, line 1374, in _sci Argument must be an image, collection, or ContourSet in this Axes) ValueError: Argument must be an image, collection, or ContourSet in this Axes Thanks guys! Josh On Jul 11, 2012, at 1:18 PM, Benjamin Root wrote: On Wed, Jul 11, 2012 at 12:45 PM, Joshua Koehler jjkoehl...@gmail.com wrote: Hi all, I am currently trying to have two panels each with their own figure instance so they can have separate plots. I can successfully update a plot if there is only one panel. As soon as I add a second panel, I get the following error when I try to update (replot) a plot (Showing last message only): File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/axes.py, line 1374, in _sci Argument must be an image, collection, or ContourSet in this Axes) ValueError: Argument must be an image, collection, or ContourSet in this Axes I looked online first and one site suggested it was because I was using matplotlib.Figure instead of pylab.Figure. I switched and the problem still occurs. I was curious to see if this problem had to do with how I set up my program, not with matplotlib, so I wrote a little test program. The exact same problem occurs. I have attached the test program. To see that it does work with just one panel comment out lines 39, 41, and 49. When put back in, I get the above error message. Any suggestions as to how to fix this? Thanks! Josh Josh, Can you please post the entire traceback? My suspicion for what is happening is that both figures are sharing the same canvas, but I am not exactly sure. Anyway, when you perform a plot on one panel, you are calling clear() for that figure, which may be having side-effects for the other figure since it is attached to the same Wx object. Actually, looking over your code again, I see a few things that may or may not be part of the problem, but should be addressed, nevertheless. First, you are calling FigureCanvas and assigning it to self.canvas. This canvas is different from the canvas that the figure will actually use, so I am not sure if this is being done correctly. Second, your call to plt.close() assumes that the figure you want to close is the currently active figure. What you want to call is plt.close(self.figure) in order to make sure it closes the figure you intend to close. Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] ANN: mpltools 0.1 release
On Wed, Jul 11, 2012 at 10:23:32AM -0500, John Hunter wrote: On Wed, Jul 11, 2012 at 10:09 AM, Damon McDougall damon.mcdoug...@gmail.com wrote: Well, as Ben said, that error fill plot is neato! It doesn't look too complicated, either. I'd be more than happy to port it over later today when I get bored of typing up my thesis. It'll probably only take me about 30 minutes. If nobody is opposed to this idea, I'll go ahead and submit a PR this evening (British Summer (hah!) Time). While it is a nice graph, I am not sure that the use case is common enough to justify a new plotting method. One can get the same result with: In [68]: x = np.linspace(0, 2 * np.pi) In [69]: y_sin = np.sin(x) In [70]: err = np.concatenate([y_sin + 0.2, y_sin[::-1] - 0.2]) In [71]: plot(x, y_sin) Out[71]: [matplotlib.lines.Line2D object at 0x96959ec] In [72]: fill_between(np.concatenate([x, x[::-1]]), err, facecolor='red', alpha=0.5) Out[72]: matplotlib.collections.PolyCollection object at 0x962758c Admittedly the [::-1] thing is a bit counter-intuitive, but rather than adding a new plotting method, perhaps we would be better off with a helper method to create the xs and ys for fill_between xs, ys = mlab.pad_line(x, y, 0.2) fill_between(xs, ys) JDH +1 on the helper function. That's probably a much less bloated of way of doing it. -- Damon McDougall http://damon-is-a-geek.com B2.39 Mathematics Institute University of Warwick Coventry West Midlands CV4 7AL United Kingdom -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] ANN: mpltools 0.1 release
On Wed, Jul 11, 2012 at 11:23 AM, John Hunter jdh2...@gmail.com wrote: On Wed, Jul 11, 2012 at 10:09 AM, Damon McDougall damon.mcdoug...@gmail.com wrote: Well, as Ben said, that error fill plot is neato! It doesn't look too complicated, either. I'd be more than happy to port it over later today when I get bored of typing up my thesis. It'll probably only take me about 30 minutes. If nobody is opposed to this idea, I'll go ahead and submit a PR this evening (British Summer (hah!) Time). While it is a nice graph, I am not sure that the use case is common enough to justify a new plotting method. One can get the same result with: In [68]: x = np.linspace(0, 2 * np.pi) In [69]: y_sin = np.sin(x) In [70]: err = np.concatenate([y_sin + 0.2, y_sin[::-1] - 0.2]) In [71]: plot(x, y_sin) Out[71]: [matplotlib.lines.Line2D object at 0x96959ec] In [72]: fill_between(np.concatenate([x, x[::-1]]), err, facecolor='red', alpha=0.5) Out[72]: matplotlib.collections.PolyCollection object at 0x962758c Admittedly the [::-1] thing is a bit counter-intuitive, but rather than adding a new plotting method, perhaps we would be better off with a helper method to create the xs and ys for fill_between xs, ys = mlab.pad_line(x, y, 0.2) fill_between(xs, ys) JDH I could definitely agree with a pad_line() function. We might want to revisit the issue of how much visibility the mlab module should get in the documentation (it currently doesn't get much at all). My whole take on mlab was that it was a left-over from the days of working around issues in NumPy and SciPy and that it was being slowly phased out. As for other possible locations, cbook feels like it is more for the devs than for the users, and adding it to pyplot would render the whole purpose of creating this function as opposed to errorfill moot. As an additional point about such a pad_line function, it should probably be nice to mirror the errorbar() functionality to allow not only a constant error, but also a N, Nx1, or 2xN array of +/- error. (note that errorbar() for the 2xN array case does -row1 and +row2). Cheers! Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Two panels (wxPython) containing separate figures
Josh: I'm assuming that you saw the workaround two messages up? On Wed, Jul 11, 2012 at 1:41 PM, Joshua Koehler jjkoehl...@gmail.comwrote: Here is the full traceback from the sample program: Traceback (most recent call last): File panel_test.py, line 54, in module frame = MyFrame(None) File panel_test.py, line 42, in __init__ self.panel1.update_display() File panel_test.py, line 19, in update_display my_plot(self.figure) File panel_test.py, line 10, in my_plot nx.draw_networkx(G, ax=axes) File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/networkx/drawing/nx_pylab.py, line 269, in draw_networkx node_collection=draw_networkx_nodes(G, pos, **kwds) File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/networkx/drawing/nx_pylab.py, line 392, in draw_networkx_nodes pylab.sci(node_collection) File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/pyplot.py, line 226, in sci gca()._sci(im) File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/axes.py, line 1374, in _sci Argument must be an image, collection, or ContourSet in this Axes) ValueError: Argument must be an image, collection, or ContourSet in this Axes Thanks guys! Josh On Jul 11, 2012, at 1:18 PM, Benjamin Root wrote: On Wed, Jul 11, 2012 at 12:45 PM, Joshua Koehler jjkoehl...@gmail.comwrote: Hi all, I am currently trying to have two panels each with their own figure instance so they can have separate plots. I can successfully update a plot if there is only one panel. As soon as I add a second panel, I get the following error when I try to update (replot) a plot (Showing last message only): File /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/axes.py, line 1374, in _sci Argument must be an image, collection, or ContourSet in this Axes) ValueError: Argument must be an image, collection, or ContourSet in this Axes I looked online first and one site suggested it was because I was using matplotlib.Figure instead of pylab.Figure. I switched and the problem still occurs. I was curious to see if this problem had to do with how I set up my program, not with matplotlib, so I wrote a little test program. The exact same problem occurs. I have attached the test program. To see that it does work with just one panel comment out lines 39, 41, and 49. When put back in, I get the above error message. Any suggestions as to how to fix this? Thanks! Josh Josh, Can you please post the entire traceback? My suspicion for what is happening is that both figures are sharing the same canvas, but I am not exactly sure. Anyway, when you perform a plot on one panel, you are calling clear() for that figure, which may be having side-effects for the other figure since it is attached to the same Wx object. Actually, looking over your code again, I see a few things that may or may not be part of the problem, but should be addressed, nevertheless. First, you are calling FigureCanvas and assigning it to self.canvas. This canvas is different from the canvas that the figure will actually use, so I am not sure if this is being done correctly. Second, your call to plt.close() assumes that the figure you want to close is the currently active figure. What you want to call is plt.close(self.figure) in order to make sure it closes the figure you intend to close. Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Daniel Hyams dhy...@gmail.com -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] How to compile under windows?
I looked around in the docs a bit but didn't find anything...is there a guide / set of recommended practices when trying to build matplotlib from source on Windows? -- Daniel Hyams dhy...@gmail.com -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to compile under windows?
On 7/11/2012 1:47 PM, Daniel Hyams wrote: I looked around in the docs a bit but didn't find anything...is there a guide / set of recommended practices when trying to build matplotlib from source on Windows? These discussions on [matplotlib-devel] might help: Calling all Mac OSX users! http://sourceforge.net/mailarchive/message.php?msg_id=27950397 Building on Windows (Was Re: Calling all Mac OSX users!) http://sourceforge.net/mailarchive/message.php?msg_id=27961105 - Christoph -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] ANN: mpltools 0.1 release
On Wed, Jul 11, 2012 at 2:28 PM, Benjamin Root ben.r...@ou.edu wrote: On Wed, Jul 11, 2012 at 11:23 AM, John Hunter jdh2...@gmail.com wrote: On Wed, Jul 11, 2012 at 10:09 AM, Damon McDougall damon.mcdoug...@gmail.com wrote: Well, as Ben said, that error fill plot is neato! It doesn't look too complicated, either. I'd be more than happy to port it over later today when I get bored of typing up my thesis. It'll probably only take me about 30 minutes. If nobody is opposed to this idea, I'll go ahead and submit a PR this evening (British Summer (hah!) Time). While it is a nice graph, I am not sure that the use case is common enough to justify a new plotting method. One can get the same result with: In [68]: x = np.linspace(0, 2 * np.pi) In [69]: y_sin = np.sin(x) In [70]: err = np.concatenate([y_sin + 0.2, y_sin[::-1] - 0.2]) In [71]: plot(x, y_sin) Out[71]: [matplotlib.lines.Line2D object at 0x96959ec] In [72]: fill_between(np.concatenate([x, x[::-1]]), err, facecolor='red', alpha=0.5) Out[72]: matplotlib.collections.PolyCollection object at 0x962758c Admittedly the [::-1] thing is a bit counter-intuitive, but rather than adding a new plotting method, perhaps we would be better off with a helper method to create the xs and ys for fill_between xs, ys = mlab.pad_line(x, y, 0.2) fill_between(xs, ys) JDH I could definitely agree with a pad_line() function. We might want to revisit the issue of how much visibility the mlab module should get in the documentation (it currently doesn't get much at all). My whole take on mlab was that it was a left-over from the days of working around issues in NumPy and SciPy and that it was being slowly phased out. As for other possible locations, cbook feels like it is more for the devs than for the users, and adding it to pyplot would render the whole purpose of creating this function as opposed to errorfill moot. As an additional point about such a pad_line function, it should probably be nice to mirror the errorbar() functionality to allow not only a constant error, but also a N, Nx1, or 2xN array of +/- error. (note that errorbar() for the 2xN array case does -row1 and +row2). Damon: it sounds like you're volunteering to submit a PR to add this function ;) Here's the relevant bit (which should already handle the cases Ben mentions above): https://github.com/tonysyu/mpltools/blob/master/mpltools/special/errorfill.py#L54 It needs a docstring and a home (pyplot.py?). I kind of think `offset_line` is more explicit than `pad_line` (both of these are *much* better than my original `extrema_from_error_input`). Cheers, -Tony Cheers! Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] (no subject)
http://horit.com/yuaoqlcns/405279.html-- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
