[Matplotlib-users] AttributeError: 'BarContainer' object has no attribute 'autoscale_None'
Hi all,
I tried to add a colorbar to a bar plot
coolwarm = cm = plt.get_cmap('coolwarm')
values = range(100)
cNorm = colors.Normalize(vmin=0, vmax=values[-1])
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=coolwarm)
colours = []
for value in values:
colorVal = scalarMap.to_rgba(value)
colours.append(colorVal)
fig = plt.figure()
ax = fig.add_subplot(111,projection='3d')
hist,bin_edges = np.histogram(efratio,bins=100,range=(0.,1.),density=False)
width = 0.7*(bin_edges[1]-bin_edges[0])
center = (bin_edges[:-1]+bin_edges[1:])/2
heatmap = ax.bar(center, hist, zs=z, zdir='y', align = 'center', width =
width,color=colours)
plt.colorbar(heatmap)
mappable.autoscale_None() # Ensure mappable.norm.vmin, vmax
AttributeError: 'BarContainer' object has no attribute 'autoscale_None'
How can I fix the problem ?
Nils
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Re: [Matplotlib-users] AttributeError: 'BarContainer' object has no attribute 'autoscale_None'
On 2013/10/10 8:52 PM, Nils Wagner wrote:
Hi all,
I tried to add a colorbar to a bar plot
coolwarm = cm = plt.get_cmap('coolwarm')
values = range(100)
cNorm = colors.Normalize(vmin=0, vmax=values[-1])
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=coolwarm)
colours = []
for value in values:
colorVal = scalarMap.to_rgba(value)
colours.append(colorVal)
fig = plt.figure()
ax = fig.add_subplot(111,projection='3d')
hist,bin_edges = np.histogram(efratio,bins=100,range=(0.,1.),density=False)
width = 0.7*(bin_edges[1]-bin_edges[0])
center = (bin_edges[:-1]+bin_edges[1:])/2
heatmap = ax.bar(center, hist, zs=z, zdir='y', align = 'center', width =
width,color=colours)
plt.colorbar(heatmap)
mappable.autoscale_None() # Ensure mappable.norm.vmin, vmax
AttributeError: 'BarContainer' object has no attribute 'autoscale_None'
This is because it is not an instance of ScalarMappable, which is what
colorbar() requires as its argument.
How can I fix the problem ?
Use scalarMap as the argument instead of heatmap. I think you will need
to provide either the cax or the ax kwarg in addition.
examples/api/colorbar_only.py might also be helpful.
Eric
Nils
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Re: [Matplotlib-users] AttributeError: 'BarContainer' object has no attribute 'autoscale_None'
plt.colorbar(scalarMap,ax=ax) results in
cm.py, line 309, in autoscale_None
raise TypeError('You must first set_array for mappable')
TypeError: You must first set_array for mappable
Nils
On Fri, Oct 11, 2013 at 9:51 AM, Eric Firing efir...@hawaii.edu wrote:
On 2013/10/10 8:52 PM, Nils Wagner wrote:
Hi all,
I tried to add a colorbar to a bar plot
coolwarm = cm = plt.get_cmap('coolwarm')
values = range(100)
cNorm = colors.Normalize(vmin=0, vmax=values[-1])
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=coolwarm)
colours = []
for value in values:
colorVal = scalarMap.to_rgba(value)
colours.append(colorVal)
fig = plt.figure()
ax = fig.add_subplot(111,projection='3d')
hist,bin_edges =
np.histogram(efratio,bins=100,range=(0.,1.),density=False)
width = 0.7*(bin_edges[1]-bin_edges[0])
center = (bin_edges[:-1]+bin_edges[1:])/2
heatmap = ax.bar(center, hist, zs=z, zdir='y', align = 'center', width =
width,color=colours)
plt.colorbar(heatmap)
mappable.autoscale_None() # Ensure mappable.norm.vmin, vmax
AttributeError: 'BarContainer' object has no attribute 'autoscale_None'
This is because it is not an instance of ScalarMappable, which is what
colorbar() requires as its argument.
How can I fix the problem ?
Use scalarMap as the argument instead of heatmap. I think you will need
to provide either the cax or the ax kwarg in addition.
examples/api/colorbar_only.py might also be helpful.
Eric
Nils
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Re: [Matplotlib-users] AttributeError: 'BarContainer' object has no attribute 'autoscale_None'
Nils,
I tried to run your example, but there are some variables which are undefined.
Can you post a self contained revision of your example?
-Sterling
On Oct 11, 2013, at 1:34AM, Nils Wagner wrote:
plt.colorbar(scalarMap,ax=ax) results in
cm.py, line 309, in autoscale_None
raise TypeError('You must first set_array for mappable')
TypeError: You must first set_array for mappable
Nils
On Fri, Oct 11, 2013 at 9:51 AM, Eric Firing efir...@hawaii.edu wrote:
On 2013/10/10 8:52 PM, Nils Wagner wrote:
Hi all,
I tried to add a colorbar to a bar plot
coolwarm = cm = plt.get_cmap('coolwarm')
values = range(100)
cNorm = colors.Normalize(vmin=0, vmax=values[-1])
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=coolwarm)
colours = []
for value in values:
colorVal = scalarMap.to_rgba(value)
colours.append(colorVal)
fig = plt.figure()
ax = fig.add_subplot(111,projection='3d')
hist,bin_edges = np.histogram(efratio,bins=100,range=(0.,1.),density=False)
width = 0.7*(bin_edges[1]-bin_edges[0])
center = (bin_edges[:-1]+bin_edges[1:])/2
heatmap = ax.bar(center, hist, zs=z, zdir='y', align = 'center', width =
width,color=colours)
plt.colorbar(heatmap)
mappable.autoscale_None() # Ensure mappable.norm.vmin, vmax
AttributeError: 'BarContainer' object has no attribute 'autoscale_None'
This is because it is not an instance of ScalarMappable, which is what
colorbar() requires as its argument.
How can I fix the problem ?
Use scalarMap as the argument instead of heatmap. I think you will need
to provide either the cax or the ax kwarg in addition.
examples/api/colorbar_only.py might also be helpful.
Eric
Nils
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[Matplotlib-users] Problems using Matplotlib from a GTK app
I want to use matplotlib as a component of a larger, event-driven GTK app. That means pylab.show is (I think) not the way to go, as it starts up its own event loop which doesn't return. I've tried to clear and plot in my event handler, but my plot is never displayed. My initialization code looks like this: matplotlib.use(GtkAgg) self.figure = matplotlib.figure.Figure() self.plot = self.figure.add_subplot(111) self.plot.set_axisbelow(True) self.figure.tight_layout() My event handler computes a new set of points (about a dozen x/y pairs) and plots them: points = ... generate a list of (x, y) tuples ... print points self.plot.clear() self.plot.plot([x for x, y in points], [y for x, y in points]) Every time my event handler is called, it prints the points (I see them in my xterm), but the plot is never drawn. I looked at this example: http://matplotlib.org/examples/user_interfaces/embedding_in_gtk2.html but it does something with a key press handler that seems very artificial, and not at all like how my application will interact with its environment. Can someone point me to the correct spot in the documentation or some examples that don't require the user to type at the application? Thanks, Skip -- October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register http://pubads.g.doubleclick.net/gampad/clk?id=60134071iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problems using Matplotlib from a GTK app
Skip, Here are some lines from an application I have written. from matplotlib.backends.backend_gtkagg import FigureCanvasGTKAgg In the setup: self.canvas = FigureCanvasGTKAgg(self.figure) self.canvas.set_size_request(600,600) self.canvas.show() #Pack the canvas in a parent container self.vbox0.pack_start(self.canvas, True, True) At the event where I want the plot to update: self.canvas.draw() For a faster responding application, be sure to check out the matplotlib animation examples with blitting, as I built my application without that knowledge, and haven't found the time to go back and fix it... -Sterling On Oct 11, 2013, at 9:25AM, Skip Montanaro wrote: I want to use matplotlib as a component of a larger, event-driven GTK app. That means pylab.show is (I think) not the way to go, as it starts up its own event loop which doesn't return. I've tried to clear and plot in my event handler, but my plot is never displayed. My initialization code looks like this: matplotlib.use(GtkAgg) self.figure = matplotlib.figure.Figure() self.plot = self.figure.add_subplot(111) self.plot.set_axisbelow(True) self.figure.tight_layout() My event handler computes a new set of points (about a dozen x/y pairs) and plots them: points = ... generate a list of (x, y) tuples ... print points self.plot.clear() self.plot.plot([x for x, y in points], [y for x, y in points]) Every time my event handler is called, it prints the points (I see them in my xterm), but the plot is never drawn. I looked at this example: http://matplotlib.org/examples/user_interfaces/embedding_in_gtk2.html but it does something with a key press handler that seems very artificial, and not at all like how my application will interact with its environment. Can someone point me to the correct spot in the documentation or some examples that don't require the user to type at the application? Thanks, Skip -- October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register http://pubads.g.doubleclick.net/gampad/clk?id=60134071iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register http://pubads.g.doubleclick.net/gampad/clk?id=60134071iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Any progress on binary installer for OSX?
Hi, On Thu, Oct 3, 2013 at 1:33 PM, Matthew Brett matthew.br...@gmail.com wrote: Hi, On Thu, Oct 3, 2013 at 1:29 PM, Russell E. Owen ro...@uw.edu wrote: In article CAH6Pt5q=z_macay-dgroz38jimo6uclv+amxkxhvt+qoe+c...@mail.gmail.com, Matthew Brett matthew.br...@gmail.com wrote: Hi, On Thu, Oct 3, 2013 at 5:59 AM, Michael Droettboom md...@stsci.edu wrote: Matthew Terry, as part of his Mac testing project, has done a great deal of reconnaissance on this. https://github.com/matplotlib/mpl_mac_testing I know he was looking into statically linking some of the C dependencies (freetype, libpng etc.) as a way to make the installer more robust to different environments. Thanks - that looks like a useful testing grid. Are there any near-term plans for something like a .dmg or .mpkg or .pkg installer? Building a binary installer with statically linked libraries is not terribly hard (see http://www.astro.washington.edu/users/rowen/BuildingMatplotlibForMac.htm l). There are two problem: - As of 1.3.0 mpl does not include python-dateutil, pytz or six (for good reasons) and that makes it harder to make a really usable binary installer. This interacts with the next problem: - For unknown reasons running the 1.3.0 installer breaks existing installations of python-dateutil if those packages were installed using an older mpl binary installer. The missing packages can be added to the binary installer after it is produced by bdist_mpkg by post-processing the mpkg. That would take care of the second issue for most users (who would use the default installation and get everything). I have not had time to deal with that. Thus I never uploaded an official binary installer for 1.3.0 and stopped providing them. Matthew Terry has taken over that task. Aha - yes - postprocessing the mpkg would be pretty easy. So - I guess I should just build the installer myself and post it for testing? Is that the best way forward? OK - after a lot of blood, sweat and tears: http://nipy.bic.berkeley.edu/practical_neuroimaging/matplotlib-1.3.1-py2.7-macosx10.6.mpkg.zip - a standalone binary installer for matplotlib 1.3.1, including: tornado pyparsing python-dateutil pytz six Please do test. It imports on my machines (10.6, 10.7 * 2, 10.8), I am just running the tests. I'm building from a waf build that should be replicable: https://github.com/matthew-brett/mpl-osx-binaries On a 10.6 and a 10.8 machine I get a couple of test errors, log attached: ERROR: matplotlib.tests.test_backend_pgf.test_pathclip ERROR: matplotlib.tests.test_backend_pgf.test_mixedmode One (clean) 10.7 passes, another 10.7 machine gives the same errors as above plus 2 ghostscript errors. Cheers, Matthew -- October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register http://pubads.g.doubleclick.net/gampad/clk?id=60134071iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Any progress on binary installer for OSX?
Hi, On Fri, Oct 11, 2013 at 9:29 PM, Matthew Brett matthew.br...@gmail.com wrote: Hi, On Thu, Oct 3, 2013 at 1:33 PM, Matthew Brett matthew.br...@gmail.com wrote: Hi, On Thu, Oct 3, 2013 at 1:29 PM, Russell E. Owen ro...@uw.edu wrote: In article CAH6Pt5q=z_macay-dgroz38jimo6uclv+amxkxhvt+qoe+c...@mail.gmail.com, Matthew Brett matthew.br...@gmail.com wrote: Hi, On Thu, Oct 3, 2013 at 5:59 AM, Michael Droettboom md...@stsci.edu wrote: Matthew Terry, as part of his Mac testing project, has done a great deal of reconnaissance on this. https://github.com/matplotlib/mpl_mac_testing I know he was looking into statically linking some of the C dependencies (freetype, libpng etc.) as a way to make the installer more robust to different environments. Thanks - that looks like a useful testing grid. Are there any near-term plans for something like a .dmg or .mpkg or .pkg installer? Building a binary installer with statically linked libraries is not terribly hard (see http://www.astro.washington.edu/users/rowen/BuildingMatplotlibForMac.htm l). There are two problem: - As of 1.3.0 mpl does not include python-dateutil, pytz or six (for good reasons) and that makes it harder to make a really usable binary installer. This interacts with the next problem: - For unknown reasons running the 1.3.0 installer breaks existing installations of python-dateutil if those packages were installed using an older mpl binary installer. The missing packages can be added to the binary installer after it is produced by bdist_mpkg by post-processing the mpkg. That would take care of the second issue for most users (who would use the default installation and get everything). I have not had time to deal with that. Thus I never uploaded an official binary installer for 1.3.0 and stopped providing them. Matthew Terry has taken over that task. Aha - yes - postprocessing the mpkg would be pretty easy. So - I guess I should just build the installer myself and post it for testing? Is that the best way forward? OK - after a lot of blood, sweat and tears: http://nipy.bic.berkeley.edu/practical_neuroimaging/matplotlib-1.3.1-py2.7-macosx10.6.mpkg.zip - a standalone binary installer for matplotlib 1.3.1, including: tornado pyparsing python-dateutil pytz six Please do test. It imports on my machines (10.6, 10.7 * 2, 10.8), I am just running the tests. I'm building from a waf build that should be replicable: https://github.com/matthew-brett/mpl-osx-binaries On a 10.6 and a 10.8 machine I get a couple of test errors, log attached: ERROR: matplotlib.tests.test_backend_pgf.test_pathclip ERROR: matplotlib.tests.test_backend_pgf.test_mixedmode One (clean) 10.7 passes, another 10.7 machine gives the same errors as above plus 2 ghostscript errors. python3.3 installer, same errors as 2.7 for OSX 10.8: http://nipy.bic.berkeley.edu/practical_neuroimaging/matplotlib-1.3.1-py3.3-macosx10.6.mpkg.zip I've attached the log this time (for 2.7, it's similar for 3.3) Best, Matthew mpl.log.bz2 Description: BZip2 compressed data -- October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register http://pubads.g.doubleclick.net/gampad/clk?id=60134071iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
