Re: [Matplotlib-users] collections?
Thanks so much Tony...that does indeed work. I'm not sure if I understand exactly why, but I'll continue to bang my head on it for a while ;) The set_transform() call is needed if you throw the collection into the axes.artists list, but not if axes.add_collection() is used to (ahem) add the collection. On Fri, Dec 9, 2011 at 5:27 PM, Tony Yu tsy...@gmail.com wrote: On Fri, Dec 9, 2011 at 5:23 PM, Tony Yu tsy...@gmail.com wrote: On Fri, Dec 9, 2011 at 4:11 PM, Daniel Hyams dhy...@gmail.com wrote: I'm sorry, I should have stated the version. I'm using 1.0.0, which just returns a list of rectangle artists. On Fri, Dec 9, 2011 at 4:08 PM, Benjamin Root ben.r...@ou.edu wrote: On Fri, Dec 9, 2011 at 2:55 PM, Daniel Hyams dhy...@gmail.com wrote: Tried, but unfortunately it did not make any difference :( Just as an interesting point... don't know if it means anything. In v1.1.x, we now return a BarContainer from the bar() function. This container subclasses the tuple type, which is why you are still able to treat it like a list. Anyway, this class does a bunch of things that I wonder if it could be interfering with what you are trying to do. Probably not, but still... Ben Root -- Daniel Hyams dhy...@gmail.com So I think the problem is that ``plt.bar`` assigns a transform to each patch (as it should). But then when pass these patches to PatchCollection, the collection applies it's own transform (but doesn't ignore the patch's transform, apparently). The solution is to clear out the transform on each patch---where clearing a transform translates to setting it to the IdentityTransform. Below is code that works *on my system*. It sounds like it will work slightly differently on your system: #!/usr/bin/env python import numpy import matplotlib.pyplot as plt import matplotlib.collections import matplotlib.transforms as transforms # just generate some data to plot x = numpy.linspace(0.0,2.0*numpy.pi,10) y = numpy.sin(x) # plot axes = plt.gca() bars = plt.bar(x,y,color='red',width=0.1) axes.patches = [] for p in bars.patches: p.set_transform(transforms.IdentityTransform()) ## and create a collection for plotting the rectangles instead. coll = matplotlib.collections.PatchCollection(bars.patches) coll.set_transform(axes.transData) axes.add_collection(coll, autolim=True) plt.xlim(0.0,2.0*numpy.pi) plt.grid(True) plt.show() P.S. you don't need the call to set_transform that I accidentally added. -- Daniel Hyams dhy...@gmail.com -- Learn Windows Azure Live! Tuesday, Dec 13, 2011 Microsoft is holding a special Learn Windows Azure training event for developers. It will provide a great way to learn Windows Azure and what it provides. You can attend the event by watching it streamed LIVE online. Learn more at http://p.sf.net/sfu/ms-windowsazure___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] collections?
I can't tell if I'm misusing collections here, or if there is a bug. Anyway, what I'm trying to do is keep track of a group of rectangles generated from a bar plot. Instead of letting there be a large number of artists added to the axes, I wanted to just group them into a collection and add the collection instead. As in the code below: #!/usr/bin/env python import numpy import matplotlib.pyplot as plt import matplotlib.collections # just generate some data to plot x = numpy.linspace(0.0,2.0*numpy.pi,10) y = numpy.sin(x) # plot axes = plt.gca() bars = plt.bar(x,y,color='red',width=0.1) # strip out all of the newly inserted rectangles for b in bars: b.remove() # and create a collection for plotting the rectangles instead. coll = matplotlib.collections.PatchCollection(bars) axes.artists.append(coll) plt.xlim(0.0,2.0*numpy.pi) plt.grid(True) plt.show() This appears to work at first blush, but if you resize the plot, you can tell that the rectangles are just fixed in their location now. I tried messing around with setting the transform for the new collection object coll in different ways, to no avail. Any suggestions welcome ;) -- Daniel Hyams dhy...@gmail.com -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] collections?
Tried, but unfortunately it did not make any difference :( On Fri, Dec 9, 2011 at 2:22 PM, Tony Yu tsy...@gmail.com wrote: On Fri, Dec 9, 2011 at 2:13 PM, Daniel Hyams dhy...@gmail.com wrote: I can't tell if I'm misusing collections here, or if there is a bug. Anyway, what I'm trying to do is keep track of a group of rectangles generated from a bar plot. Instead of letting there be a large number of artists added to the axes, I wanted to just group them into a collection and add the collection instead. As in the code below: #!/usr/bin/env python import numpy import matplotlib.pyplot as plt import matplotlib.collections # just generate some data to plot x = numpy.linspace(0.0,2.0*numpy.pi,10) y = numpy.sin(x) # plot axes = plt.gca() bars = plt.bar(x,y,color='red',width=0.1) # strip out all of the newly inserted rectangles for b in bars: b.remove() # and create a collection for plotting the rectangles instead. coll = matplotlib.collections.PatchCollection(bars) axes.artists.append(coll) plt.xlim(0.0,2.0*numpy.pi) plt.grid(True) plt.show() This appears to work at first blush, but if you resize the plot, you can tell that the rectangles are just fixed in their location now. I tried messing around with setting the transform for the new collection object coll in different ways, to no avail. Any suggestions welcome ;) -- Daniel Hyams dhy...@gmail.com try transOffset: coll = matplotlib.collections.PatchCollection(bars, transOffset=axes.transData) I've always found this a bit clumsy, but I think it's the standard way to do it. -Tony -- Daniel Hyams dhy...@gmail.com -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] collections?
On Fri, Dec 9, 2011 at 2:55 PM, Daniel Hyams dhy...@gmail.com wrote: Tried, but unfortunately it did not make any difference :( Just as an interesting point... don't know if it means anything. In v1.1.x, we now return a BarContainer from the bar() function. This container subclasses the tuple type, which is why you are still able to treat it like a list. Anyway, this class does a bunch of things that I wonder if it could be interfering with what you are trying to do. Probably not, but still... Ben Root -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] collections?
I'm sorry, I should have stated the version. I'm using 1.0.0, which just returns a list of rectangle artists. On Fri, Dec 9, 2011 at 4:08 PM, Benjamin Root ben.r...@ou.edu wrote: On Fri, Dec 9, 2011 at 2:55 PM, Daniel Hyams dhy...@gmail.com wrote: Tried, but unfortunately it did not make any difference :( Just as an interesting point... don't know if it means anything. In v1.1.x, we now return a BarContainer from the bar() function. This container subclasses the tuple type, which is why you are still able to treat it like a list. Anyway, this class does a bunch of things that I wonder if it could be interfering with what you are trying to do. Probably not, but still... Ben Root -- Daniel Hyams dhy...@gmail.com -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] collections?
On Fri, Dec 9, 2011 at 4:11 PM, Daniel Hyams dhy...@gmail.com wrote: I'm sorry, I should have stated the version. I'm using 1.0.0, which just returns a list of rectangle artists. On Fri, Dec 9, 2011 at 4:08 PM, Benjamin Root ben.r...@ou.edu wrote: On Fri, Dec 9, 2011 at 2:55 PM, Daniel Hyams dhy...@gmail.com wrote: Tried, but unfortunately it did not make any difference :( Just as an interesting point... don't know if it means anything. In v1.1.x, we now return a BarContainer from the bar() function. This container subclasses the tuple type, which is why you are still able to treat it like a list. Anyway, this class does a bunch of things that I wonder if it could be interfering with what you are trying to do. Probably not, but still... Ben Root -- Daniel Hyams dhy...@gmail.com So I think the problem is that ``plt.bar`` assigns a transform to each patch (as it should). But then when pass these patches to PatchCollection, the collection applies it's own transform (but doesn't ignore the patch's transform, apparently). The solution is to clear out the transform on each patch---where clearing a transform translates to setting it to the IdentityTransform. Below is code that works *on my system*. It sounds like it will work slightly differently on your system: #!/usr/bin/env python import numpy import matplotlib.pyplot as plt import matplotlib.collections import matplotlib.transforms as transforms # just generate some data to plot x = numpy.linspace(0.0,2.0*numpy.pi,10) y = numpy.sin(x) # plot axes = plt.gca() bars = plt.bar(x,y,color='red',width=0.1) axes.patches = [] for p in bars.patches: p.set_transform(transforms.IdentityTransform()) ## and create a collection for plotting the rectangles instead. coll = matplotlib.collections.PatchCollection(bars.patches) coll.set_transform(axes.transData) axes.add_collection(coll, autolim=True) plt.xlim(0.0,2.0*numpy.pi) plt.grid(True) plt.show() -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] collections?
On Fri, Dec 9, 2011 at 5:23 PM, Tony Yu tsy...@gmail.com wrote: On Fri, Dec 9, 2011 at 4:11 PM, Daniel Hyams dhy...@gmail.com wrote: I'm sorry, I should have stated the version. I'm using 1.0.0, which just returns a list of rectangle artists. On Fri, Dec 9, 2011 at 4:08 PM, Benjamin Root ben.r...@ou.edu wrote: On Fri, Dec 9, 2011 at 2:55 PM, Daniel Hyams dhy...@gmail.com wrote: Tried, but unfortunately it did not make any difference :( Just as an interesting point... don't know if it means anything. In v1.1.x, we now return a BarContainer from the bar() function. This container subclasses the tuple type, which is why you are still able to treat it like a list. Anyway, this class does a bunch of things that I wonder if it could be interfering with what you are trying to do. Probably not, but still... Ben Root -- Daniel Hyams dhy...@gmail.com So I think the problem is that ``plt.bar`` assigns a transform to each patch (as it should). But then when pass these patches to PatchCollection, the collection applies it's own transform (but doesn't ignore the patch's transform, apparently). The solution is to clear out the transform on each patch---where clearing a transform translates to setting it to the IdentityTransform. Below is code that works *on my system*. It sounds like it will work slightly differently on your system: #!/usr/bin/env python import numpy import matplotlib.pyplot as plt import matplotlib.collections import matplotlib.transforms as transforms # just generate some data to plot x = numpy.linspace(0.0,2.0*numpy.pi,10) y = numpy.sin(x) # plot axes = plt.gca() bars = plt.bar(x,y,color='red',width=0.1) axes.patches = [] for p in bars.patches: p.set_transform(transforms.IdentityTransform()) ## and create a collection for plotting the rectangles instead. coll = matplotlib.collections.PatchCollection(bars.patches) coll.set_transform(axes.transData) axes.add_collection(coll, autolim=True) plt.xlim(0.0,2.0*numpy.pi) plt.grid(True) plt.show() P.S. you don't need the call to set_transform that I accidentally added. -- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
