Re: [Matplotlib-users] Fwd: Re: Colobar and change axis x and y labels
Pythphys, would it be too demanding to ask you to sign your messages with a human name?... Danke. You ask: - changing to an image grey scale only needs ... what? plt.set_cmap(plt.cm.gray) in the context of your current figure. Or, use cmap=... in your imshow. Please, look up colormap in the documentation. - I need to do a 'plane fit' of the image. Does matplotlib have some routine for this? Or shall I use other math libs? I am not a guru of matplotlib, but this is a visualisation package, not a data processing one. Scipy (numpy) have some interpolation procedures, polyfit, etc. but I don't remember without digging the docs (which you might do as well) whether multidimensional fitting is there. Anyway, why not use your head? This is a standard student exercise. You need to fit: zf = ax + by + c, having z =f(x,y) in your image, am I right? If not, forget the rest. Use the linear regression, find the zero of the gradient wrt (a,b,c) of SUM[(ax +by +c - z)^2] and that's all. The most tragic part of the exercise is the necessity of solving a linear equation set in 3 variables... Jerzy Karczmarczuk Caen, France -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] pip install -U matplotlib gives me 1.0.1?
Hi! I currently have matplotlib 1.0.1 installed and would like to upgrade to 1.1.0 but pip is trying to install 1.0.1... $ pip install -U matplotlib Downloading/unpacking matplotlib Downloading matplotlib-1.0.1.tar.gz (13.3Mb): 516Kb downloaded Same story when specifying the matplotlib version via a requirements file: $ cat requirements.txt matplotlib==1.1.0 $ pip install -r requirements.txt Downloading/unpacking matplotlib==1.1.0 (from -r requirements.txt (line 1)) Could not find a version that satisfies the requirement matplotlib==1.1.0 (from -r requirements.txt (line 1)) (from versions: ) No distributions matching the version for matplotlib==1.1.0 (from -r requirements.txt (line 1)) On PYPI, there is no tarball for 1.1.0 http://pypi.python.org/pypi/matplotlib/1.1.0 but there is for 1.0.1 http://pypi.python.org/pypi/matplotlib/1.0.1 Perhaps someone just forgot to upload a source tarball? Thanks for the help! -- Jake Biesinger Graduate Student Xie Lab, UC Irvine -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] svg in plot
Hi everybody, Is there a way to import a svg-image into a plot? I know that there are some possibilities to import png (http://matplotlib.sourceforge.net/examples/pylab_examples/demo_annotation_box.html) or eps (which is then rastered). But till now I didn't find any way to import/embed a real vector graphic which is still a vector when I save the figure again as pdf or svg. Thanks in advance, HoWil -- Empfehlen Sie GMX DSL Ihren Freunden und Bekannten und wir belohnen Sie mit bis zu 50,- Euro! https://freundschaftswerbung.gmx.de -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] svg in plot
On Thu, Feb 16, 2012 at 1:53 PM, Jeffrey Blackburne jblackbu...@alum.mit.edu wrote: Hi William, I am fairly certain that matplotlib does not have the capability to do what you are looking for. (If I am wrong, I'm sure someone will correct me.) You may have better luck using something like Scribus or Inkscape. Best, Jeff William, This is correct. Matplotlib currently has no import feature available. Along these lines has been several requests for an ability to import Matlab .fig files as well. I believe the official position is that matplotlib is primarily an exporter library, not an importer library. The exception to this rule appears to be imread()... There is absolutely no reason why a module could not be made for this, given that everything in matplotlib is assumed to be vector-based. You just need a library that can load up the data in the SVG file into information that is sensibly organized. Then you run through that data, producing the relevant artists and collections, adding them to the axes object. Maybe pySVG might be a good start? Cheers! Ben Root -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] svg in plot
William Hoburg: Is there a way to import a svg-image into a plot? I know that there are some possibilities to import png (http://matplotlib.sourceforge.net/examples/pylab_examples/demo_annotation_box.html) or eps (which is then rastered). But till now I didn't find any way to import/embed a real vector graphic which is still a vector when I save the figure again as pdf or svg. SVG is a text file, a quite complicated XML. In order to put it into a canvas you have to parse it, and to transform all the DEFs, the primitives and attributes into plotting commands. Such package as matplotlib lives in anther galaxy. It took a lot of time to implement SVG in Mozilla or Chrome... Jerzy Karczmarczuk -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] svg in plot
I forgot to add something... Benjamin Root : There is absolutely no reason why a module could not be made for this, given that everything in matplotlib is assumed to be vector-based. You just need a library that can load up the data in the SVG file into information that is sensibly organized. In principle a decent parser can be added to Matplotlib. But... SVG is NOT entirely a vector drawing program!! 1. You have gradients, clipping paths, patterns, and filtering, which interpolates between vector and raster data. You will not implement easily as an artist the blur, displacement maps, or morphologic filters 2. SMIL style animation needs a specific engine, this will not easily work on a back-end independent framework. == Usually I hate people who discourage others, or say that something cannot be done. But here, such a module would take too long to implement, and the gain seems not adequate. I would be VERY HAPPY, if I am wrong. Jerzy K. -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] svg in plot
On Thu, Feb 16, 2012 at 2:41 PM, Jerzy Karczmarczuk jerzy.karczmarc...@unicaen.fr wrote: I forgot to add something... Benjamin Root : There is absolutely no reason why a module could not be made for this, given that everything in matplotlib is assumed to be vector-based. You just need a library that can load up the data in the SVG file into information that is sensibly organized. In principle a decent parser can be added to Matplotlib. But... SVG is NOT entirely a vector drawing program!! 1. You have gradients, clipping paths, patterns, and filtering, which interpolates between vector and raster data. You will not implement easily as an artist the blur, displacement maps, or morphologic filters matplotlib does have AGG filters, which are very powerful. I do concede that not everything in the SVG spec can be done in matplotlib, but you would be surprised what can be done. 2. SMIL style animation needs a specific engine, this will not easily work on a back-end independent framework. I believe the context of the question isn't for animations (although we do have a backend-independent framework for them, too), but for static SVGs. I don't think anybody is suggesting a complete solution here. A module that can load up many of the common components of an SVG file into a list of artist and collection objects would be neat, even if it has to throw out lots of data in an SVG file. Of course, because it would be impossible to fully implement, such a module would never be included in matplotlib, but that shouldn't stop someone from creating a useful basic tool. Cheers! Ben Root -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] _RendererAgg(int(width), int(height), dpi, debug=False): ValueError: width and height must each be below 32768
Hi Benjamin, thank you for you explanation. My comment is below in the text: Benjamin Root wrote: On Tue, Feb 14, 2012 at 4:43 PM, Martin Mokrejs mmokr...@fold.natur.cuni.cz mailto:mmokr...@fold.natur.cuni.cz wrote: Ah, this seems to be the issue that my figsize was growing all the time so it went over the maximum limits. I thought this is valid: DefaultSize = F.get_size_inches() print str(DefaultSize) blah F.set_size_inches(DefaultSize) See http://matplotlib.sourceforge.net/api/figure_api.html quote set_size_inches(*args, **kwargs) set_size_inches(w,h, forward=False) Set the figure size in inches Usage: fig.set_size_inches(w,h) # OR fig.set_size_inches((w,h) ) optional kwarg forward=True will cause the canvas size to be automatically updated; eg you can resize the figure window from the shell ACCEPTS: a w,h tuple with w,h in inches /quote Nope, it does not work. The print call gives me: [ 8. 6.]. So, this is not a tuple? Or python-2.7 issue how is it printed ... I fear? ;-) Anyway, doing F.set_size_inches(11.2, 15) works for me. Martin I am a little bit confused by your code example. You get the figure size and print it, and *then* you set it with the exact same values, and you are surprised that it came out as [8. 6.]? Note that the figure size is stored internally as a numpy array, so when you do print str(DefaultSize), you will get the string representation of the numpy array. You can still pass in a tuple, list, or two separate elements. Try this code: No, in my experience it did NOT work. I suspect F.set_size_inches() either did not like the input tuple or something else. Now. after reading your clarification, are you sure it can input the numpy array as well? What I also tried was to re-set the figsize to original values. Ouch, I use pylab not matplotlib directly. :( $ python Python 2.7.2 (default, Feb 7 2012, 19:33:08) [GCC 4.5.3] on linux2 Type help, copyright, credits or license for more information. import pylab F = pylab.gcf() print F.get_size_inches() [ 8. 6.] DefaultSize = F.get_size_inches() print DefaultSize [ 8. 6.] F.set_size_inches(10, 10) print F.get_size_inches() [ 10. 10.] F.set_size_inches(DefaultSize[0], DefaultSize[1]) print F.get_size_inches() [ 10. 10.] Why in the above example I cannot return back to figsize [ 8. 6.] ? import matplotlib.pyplot as plt fig = plt.figure() print fig.get_size_inches() fig.set_size_inches(11.2, 15.0) print fig.get_size_inches() fig.set_size_inches((4.0, 7.2)) print fig.get_size_inches() fig.set_size_inches([9.3, 11.1]) print fig.get_size_inches() You should see: [ 8. 6.] [ 11.2 15. ] [ 4. 7.2] [ 9.2 11.1] Yes, this works. Everything works as expected. There is nothing special about python 2.7 in this regard. Let us know if you are still having problems updating your figures and include a stand-alone example showing how the figure size is not being updated. What does the internal numpy array representation bring good to the figsize? ;-) Why don't you use a simple list/tuple? I am sure you know what you're doing, am just curious. Especially if slicing behaves differently compared to list/tuple and the .__str__() also gives in my eyes weird output. Sure, matter of taste. ;) Thanks, Martin -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Selecting a color from a given color map.
Greetings. I have a series of lines that I would like to plot on the same axis, but I would like to set the color of each such that the range of colors used progresses through a given color map (e.g. the default Jet map.) For example, if I have 7 lines, the first would use the first most color from the Jet color map (blue.) The next line would use the color that is 1/7 the way up the map, e.g. green or so. This would continue until the last line was red. How would I go about doing this (that is, loading a color map and pulling a specific color from it that could be handed to plot as an rgba tuple)? Thanks! -dw -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Selecting a color from a given color map.
On Thu, Feb 16, 2012 at 4:14 PM, Daniel Welling dantwell...@gmail.comwrote: Greetings. I have a series of lines that I would like to plot on the same axis, but I would like to set the color of each such that the range of colors used progresses through a given color map (e.g. the default Jet map.) For example, if I have 7 lines, the first would use the first most color from the Jet color map (blue.) The next line would use the color that is 1/7 the way up the map, e.g. green or so. This would continue until the last line was red. How would I go about doing this (that is, loading a color map and pulling a specific color from it that could be handed to plot as an rgba tuple)? Thanks! -dw Hi Daniel, You can just pass values to a colormap. If those values are evenly spaced between 0 and 1, you'll get the result you desire. Example: #~ import numpy as np import matplotlib.pyplot as plt n_lines = 10 x = np.linspace(0, 10) phase_shift = np.linspace(0, np.pi, n_lines) color_idx = np.linspace(0, 1, n_lines) for i, shift in zip(color_idx, phase_shift): plt.plot(x, np.sin(x - shift), color=plt.cm.jet(i)) plt.show() #~ Coincidentally, this past weekend, I started wrapping up random code like this into a utility package. See `cycle_cmap` in this package: https://github.com/tonysyu/mpltools/blob/master/mpltools/color.py. The package is still in the early stages, and function names could easily change, so use with caution. Best, -Tony -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] _RendererAgg(int(width), int(height), dpi, debug=False): ValueError: width and height must each be below 32768
On Thu, Feb 16, 2012 at 3:09 PM, Martin Mokrejs mmokr...@fold.natur.cuni.cz wrote: Hi Benjamin, thank you for you explanation. My comment is below in the text: Benjamin Root wrote: On Tue, Feb 14, 2012 at 4:43 PM, Martin Mokrejs mmokr...@fold.natur.cuni.cz mailto:mmokr...@fold.natur.cuni.cz wrote: Ah, this seems to be the issue that my figsize was growing all the time so it went over the maximum limits. I thought this is valid: DefaultSize = F.get_size_inches() print str(DefaultSize) blah F.set_size_inches(DefaultSize) See http://matplotlib.sourceforge.net/api/figure_api.html quote set_size_inches(*args, **kwargs) set_size_inches(w,h, forward=False) Set the figure size in inches Usage: fig.set_size_inches(w,h) # OR fig.set_size_inches((w,h) ) optional kwarg forward=True will cause the canvas size to be automatically updated; eg you can resize the figure window from the shell ACCEPTS: a w,h tuple with w,h in inches /quote Nope, it does not work. The print call gives me: [ 8. 6.]. So, this is not a tuple? Or python-2.7 issue how is it printed ... I fear? ;-) Anyway, doing F.set_size_inches(11.2, 15) works for me. Martin I am a little bit confused by your code example. You get the figure size and print it, and *then* you set it with the exact same values, and you are surprised that it came out as [8. 6.]? Note that the figure size is stored internally as a numpy array, so when you do print str(DefaultSize), you will get the string representation of the numpy array. You can still pass in a tuple, list, or two separate elements. Try this code: No, in my experience it did NOT work. I suspect F.set_size_inches() either did not like the input tuple or something else. Now. after reading your clarification, are you sure it can input the numpy array as well? What I also tried was to re-set the figsize to original values. Yes, it can. I found the source of the problem, see further down. Ouch, I use pylab not matplotlib directly. :( Doesn't matter. $ python Python 2.7.2 (default, Feb 7 2012, 19:33:08) [GCC 4.5.3] on linux2 Type help, copyright, credits or license for more information. import pylab F = pylab.gcf() print F.get_size_inches() [ 8. 6.] DefaultSize = F.get_size_inches() print DefaultSize [ 8. 6.] F.set_size_inches(10, 10) print F.get_size_inches() [ 10. 10.] F.set_size_inches(DefaultSize[0], DefaultSize[1]) print F.get_size_inches() [ 10. 10.] The bug here is assuming that DefaultSize still contained the values you printed earlier. This is subtle (and I missed it before), but what you are getting back from F.get_size_inches() is a view of the internal numpy array. When you set the new size, the internal array was updated, not replaced. This is much in the same vein as Python mutables, but taken a bit further than you are probably used to. Because the internal array was updated, the view (stored in DefaultSize) showed the new data as well. So, when you tried to set (what you thought was still) the original size, it was merely setting the current values back to itself. Therefore, no change. So, to force DefaultSize to be immutable, just cast it as a tuple: DefaultSize = tuple(F.get_size_inches()) Why in the above example I cannot return back to figsize [ 8. 6.] ? import matplotlib.pyplot as plt fig = plt.figure() print fig.get_size_inches() fig.set_size_inches(11.2, 15.0) print fig.get_size_inches() fig.set_size_inches((4.0, 7.2)) print fig.get_size_inches() fig.set_size_inches([9.3, 11.1]) print fig.get_size_inches() You should see: [ 8. 6.] [ 11.2 15. ] [ 4. 7.2] [ 9.2 11.1] Yes, this works. Everything works as expected. There is nothing special about python 2.7 in this regard. Let us know if you are still having problems updating your figures and include a stand-alone example showing how the figure size is not being updated. What does the internal numpy array representation bring good to the figsize? ;-) Why don't you use a simple list/tuple? I am sure you know what you're doing, am just curious. Especially if slicing behaves differently compared to list/tuple and the .__str__() also gives in my eyes weird output. Sure, matter of taste. ;) We use numpy arrays internally for several reasons. Primarially is that we have to do mathematical operations with this information. list/tuple do not lend itself to that (which is why numpy exists in the first place). numpy arrays also enforce type checking (so you can't put a string for a size value, or anything else that doesn't make sense). Another reason is that the slicing is significantly more advanced than for list/tuples. Internally, there is a 2x2 array. I can slice in either dimension very easily, while
Re: [Matplotlib-users] _RendererAgg(int(width), int(height), dpi, debug=False): ValueError: width and height must each be below 32768
Hi Ben, glad you found the answer. Once again, does F.get_size_inches() have to return to the user the numpy array? Why not a list or tuple? I don't mind matplotlib internal stuff. ;-) In an answer to your proposed workaround DefaultSize = tuple(F.get_size_inches()) let me comment that (I think) I tried also DefaultSize = F.get_size_inches()[:] but that also did not work for me. And was similarly think of the copy module haven't bothered to try that. ;-) Yes, please document this at least if you really cannot return a simple list or tuple. Thanks, Martin Benjamin Root wrote: On Thu, Feb 16, 2012 at 3:09 PM, Martin Mokrejs mmokr...@fold.natur.cuni.cz mailto:mmokr...@fold.natur.cuni.cz wrote: Hi Benjamin, thank you for you explanation. My comment is below in the text: Benjamin Root wrote: On Tue, Feb 14, 2012 at 4:43 PM, Martin Mokrejs mmokr...@fold.natur.cuni.cz mailto:mmokr...@fold.natur.cuni.cz mailto:mmokr...@fold.natur.cuni.cz mailto:mmokr...@fold.natur.cuni.cz wrote: Ah, this seems to be the issue that my figsize was growing all the time so it went over the maximum limits. I thought this is valid: DefaultSize = F.get_size_inches() print str(DefaultSize) blah F.set_size_inches(DefaultSize) See http://matplotlib.sourceforge.net/api/figure_api.html quote set_size_inches(*args, **kwargs) set_size_inches(w,h, forward=False) Set the figure size in inches Usage: fig.set_size_inches(w,h) # OR fig.set_size_inches((w,h) ) optional kwarg forward=True will cause the canvas size to be automatically updated; eg you can resize the figure window from the shell ACCEPTS: a w,h tuple with w,h in inches /quote Nope, it does not work. The print call gives me: [ 8. 6.]. So, this is not a tuple? Or python-2.7 issue how is it printed ... I fear? ;-) Anyway, doing F.set_size_inches(11.2, 15) works for me. Martin I am a little bit confused by your code example. You get the figure size and print it, and *then* you set it with the exact same values, and you are surprised that it came out as [8. 6.]? Note that the figure size is stored internally as a numpy array, so when you do print str(DefaultSize), you will get the string representation of the numpy array. You can still pass in a tuple, list, or two separate elements. Try this code: No, in my experience it did NOT work. I suspect F.set_size_inches() either did not like the input tuple or something else. Now. after reading your clarification, are you sure it can input the numpy array as well? What I also tried was to re-set the figsize to original values. Yes, it can. I found the source of the problem, see further down. Ouch, I use pylab not matplotlib directly. :( Doesn't matter. $ python Python 2.7.2 (default, Feb 7 2012, 19:33:08) [GCC 4.5.3] on linux2 Type help, copyright, credits or license for more information. import pylab F = pylab.gcf() print F.get_size_inches() [ 8. 6.] DefaultSize = F.get_size_inches() print DefaultSize [ 8. 6.] F.set_size_inches(10, 10) print F.get_size_inches() [ 10. 10.] F.set_size_inches(DefaultSize[0], DefaultSize[1]) print F.get_size_inches() [ 10. 10.] The bug here is assuming that DefaultSize still contained the values you printed earlier. This is subtle (and I missed it before), but what you are getting back from F.get_size_inches() is a view of the internal numpy array. When you set the new size, the internal array was updated, not replaced. This is much in the same vein as Python mutables, but taken a bit further than you are probably used to. Because the internal array was updated, the view (stored in DefaultSize) showed the new data as well. So, when you tried to set (what you thought was still) the original size, it was merely setting the current values back to itself. Therefore, no change. So, to force DefaultSize to be immutable, just cast it as a tuple: DefaultSize = tuple(F.get_size_inches()) Why in the above example I cannot return back to figsize [ 8. 6.] ? import matplotlib.pyplot as plt fig = plt.figure() print fig.get_size_inches() fig.set_size_inches(11.2, 15.0) print fig.get_size_inches() fig.set_size_inches((4.0, 7.2)) print fig.get_size_inches() fig.set_size_inches([9.3, 11.1]) print fig.get_size_inches() You should see: [ 8. 6.] [ 11.2 15. ] [ 4. 7.2] [ 9.2 11.1] Yes,
Re: [Matplotlib-users] (no subject)
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Re: [Matplotlib-users] svg in plot
Benjamin Root : it would be impossible to fully implement, such a module would never be included in matplotlib, but that shouldn't stop someone from creating a useful basic tool. Yes. Thank you Ben. I so concentrated on the vector side of the original question that I forgot that AGG has a rasterizer and filters, and morover Matplotlib can rescale (regenerate) bitmaps when resizing the figure! OK. Since the ActiveState cookbook http://code.activestate.com/recipes/325823-draw-svg-images-in-python/ offers some programme to draw SVGs, and the SVG parsers are doable, somebody might start tomorrow. Great! Jerzy K. -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] _RendererAgg(int(width), int(height), dpi, debug=False): ValueError: width and height must each be below 32768
On Thursday, February 16, 2012, Martin Mokrejs wrote: Hi Ben, glad you found the answer. Once again, does F.get_size_inches() have to return to the user the numpy array? Why not a list or tuple? I don't mind matplotlib internal stuff. ;-) We don't return a list or a tuple because other functions within mpl needs the numpy array. In an answer to your proposed workaround DefaultSize = tuple(F.get_size_inches()) let me comment that (I think) I tried also DefaultSize = F.get_size_inches()[:] but that also did not work for me. And was similarly think of the copy module haven't bothered to try that. ;-) You might want to read up on numpy arrays. A slice of an array returns a view. A slice on a view also returns a view. If you want a copy, the array has a copy() method. I don't know if the copy module would actually work because it would merely be copying the view (creating a duplicate view). Ben Root Yes, please document this at least if you really cannot return a simple list or tuple. Thanks, Martin Benjamin Root wrote: On Thu, Feb 16, 2012 at 3:09 PM, Martin Mokrejs mmokr...@fold.natur.cuni.cz javascript:; mailto: mmokr...@fold.natur.cuni.cz javascript:; wrote: Hi Benjamin, thank you for you explanation. My comment is below in the text: Benjamin Root wrote: On Tue, Feb 14, 2012 at 4:43 PM, Martin Mokrejs mmokr...@fold.natur.cuni.cz mailto:mmokr...@fold.natur.cuni.cz mailto: mmokr...@fold.natur.cuni.cz mailto:mmokr...@fold.natur.cuni.cz wrote: Ah, this seems to be the issue that my figsize was growing all the time so it went over the maximum limits. I thought this is valid: DefaultSize = F.get_size_inches() print str(DefaultSize) blah F.set_size_inches(DefaultSize) See http://matplotlib.sourceforge.net/api/figure_api.html quote set_size_inches(*args, **kwargs) set_size_inches(w,h, forward=False) Set the figure size in inches Usage: fig.set_size_inches(w,h) # OR fig.set_size_inches((w,h) ) optional kwarg forward=True will cause the canvas size to be automatically updated; eg you can resize the figure window from the shell ACCEPTS: a w,h tuple with w,h in inches /quote Nope, it does not work. The print call gives me: [ 8. 6.]. So, this is not a tuple? Or python-2.7 issue how is it printed ... I fear? ;-) Anyway, doing F.set_size_inches(11.2, 15) works for me. Martin I am a little bit confused by your code example. You get the figure size and print it, and *then* you set it with the exact same values, and you are surprised that it came out as [8. 6.]? Note that the figure size is stored internally as a numpy array, so when you do print str(DefaultSize), you will get the string representation of the numpy array. You can still pass in a tuple, list, or two separate elements. Try this code: No, in my experience it did NOT work. I suspect F.set_size_inches() either did not like the input tuple or something else. Now. after reading your clarification, are you sure it can input the numpy array as well? What I also tried was to re-set the figsize to original values. Yes, it can. I found the source of the problem, see further down. Ouch, I use pylab not matplotlib directly. :( Doesn't matter. $ python Python 2.7.2 (default, Feb 7 2012, 19:33:08) [GCC 4.5.3] on linux2 Type help, copyright, credits or license for more information. import pylab F = pylab.gcf() print F.get_size_inches() [ 8. 6.] DefaultSize = F.get_size_inches() print DefaultSize [ 8. 6.] F.set_size_inches(10, 10) print F.get_size_inches() [ 10. 10.] -- Virtualization Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
