[Matplotlib-users] New flags in IPython, of interest to matplotlib users
Hi all, This was posted to the ipython-dev list, but since it's specifically for MPL, I figured the cross-list spam would be forgiven. In IPython SVN, I just added the ability to manually control the pylab threading backend choice directly from the command line. So for example if by default you have: tlon[~] ipython -pylab --nobanner In [1]: matplotlib.rcParams['backend'] Out[1]: 'TkAgg' You can now do this as well: tlon[~] ipython -wthread -pylab --nobanner In [1]: matplotlib.rcParams['backend'] Out[1]: 'WXAgg' In [2]: Closing threads... Done. tlon[~] ipython -gthread -pylab --nobanner In [1]: matplotlib.rcParams['backend'] Out[1]: 'GTKAgg' The feature is fairly simplistic: the -Xthread flags map automatically to the XAgg backends in MPL, with no more fine-grained choice than that. We can later look into allowing explicit backend selection if you really scream for it, but I'd rather keep this simple. This means that if you don't have the *Agg builds of the GUI backends, you'll still need to do the backend selection by hand as before (i.e. by modifying your mpl config file). This has often been requested and I'd needed it myself on multiple occasions, so it's finally in. Cheers, f - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] CocoaAgg backend status?
All this sounds great. There has been some (off-list) discussion recently about making it easier to support third-party backends (i.e. backends that are maintained separately from the rest of the matplotlib tree). This Quartz backend may be a good test candidate for that (though I wouldn't worry about the details of that until some progress is made on making that possible). It seems like a natural fit for something that lives a bit outside since it is platform-specific. Your list of advantages sound interesting. It will be great to see such things in action. One minor comment --- ability to offload rendering and/or coordinate transformation to the graphics card One of the desired goals of the transforms branch was to offload coordinate transformations to external renderers, for example, for PDF to offload it to Acrobat Reader via the PDF file. As it turns out, most of these systems (at least PDF, PS, SVG) all want to transform the stroke width using the same transform as the vertices of the object itself. So if you zoom in on the data, the line width becomes enormous. As it turned out, we weren't really able to take advantage of that, and end up transforming most things within matplotlib itself anyway (in a C extension). But coordinate transformation is not a significant part of the runtime of the current software-only approaches anyway. ability to easily produce output in any of the CoreImage supported formats, As an alternative, you may want to look at how the GtkAgg backend outputs to any of GtkPixbuf's supported formats, while using Agg as the renderer. Something analogous is likely possible with Quartz. Personally, I'm curious to see how Quartz backend performs at producing PDF output, particularly with respect to fonts. That was a difficult thing to get right (and it still has room for improvement) in mpl's own PDF backend. Cheers, Mike Barry Wark wrote: Michael, I'm sorry. I just realized I hadn't replied to you yet; sorry for the delay. John also pointed us to the transforms branch and that's where we'll start. Thanks! There's no real advantage to CoreAnimation per se (except eye candy), but going native for rendering would allow mpl to integrate more smoothly with the rest of the 2D and 3D (much of Quartz, and CoreImage the 2D rendering and filtering systems in OS X are actually rendered on the graphics card as OpenGL) rendering system in OS X. Some advantages, off the top of my head are resolution independence, ability to offload rendering and/or coordinate transformation to the graphics card, ability to easily produce output in any of the CoreImage supported formats, ability to incorporate transparency and alpha blending within the view hierarchy, ability to combine media (QuickTime, OpenGL, and Quartz) in layers (the real purpose of the CoreAnimation engine), ability to piggy back on improvements in Apple's rendering engine (things like anti-aliasing etc.), ColorSync support, and _maybe_ some speed improvements by taking a layer or two out of the rendering process. All of these are just speculation, at this time... we're just getting started but will share our results as soon as they're ready. barry On 12/5/07, Michael Droettboom [EMAIL PROTECTED] wrote: Barry Wark wrote: We (at my work) are just starting to think about writing a more direct Quartz backend for mpl. A native backend would let a matplotlib view participate in newer Cocoa technologies, such as resolution independence and CoreAnimation (it's possible with the current backend method, but not quite as flexible). I'm curious what Cocoa and CoreAnimation might enable... If you are looking into writing a Quartz rendering backend, you may want to start with the matplotlib transforms branch (which should become the trunk shortly, once the 0.91 release bugs get shaken out.) The number of methods that a backend writer must provide has been greatly reduced on that branch. Cheers, Mike -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] can matplotlib do this?
Thanks Jeff, To clarify, I'm sampling a numpy array (regular lon/lat grid) and extracting a series of same size frames (say 60 longitude grids and 30 latitude grids) around a feature of interest, which can be centered somewhere on the map. What I want to do is accumulate statistics with these frames such that the relative size/distances are persevered, which of course means that I can't just add a frame centered on 30N with one centered on 80N. Ideally, I'd like to interpolate each frame to a common point (lon/lat) and display the results either in the common grid space or as radial distances from the common point. Since you're a meteorologist I can simply say I'm creating an ensemble average of extra tropical cyclones from a dozen or so computer models (each with very different resolutions). I want to see how cloud and precipitation features in each model's cyclones compare to a similar product I'm producing from satellite data using weather model output to locate the cyclones. Much the same thing as the link I provided. Thanks for your suggests as transform_scalar sounds like a good place to begin. Mike On Dec 11, 2007, at 4:57 PM, Jeff Whitaker wrote: mbauer wrote: Matplotlib users, I looking to tap your wealth of ideas and experience to help solve a problem I'm working on. The problem: I have a series of 2d scalar arrays representing a fixed width/height lon/lat box centered on an arbitrary lon/lat. I need to average these composites on a common basis that accommodates the scale changes due to latitude, preferably by shifting everything to a common central lon/lat (a polar/radial distance basis would work too). I want a plot of the end result too and I'm like to do everything with matplotlib and python so that it folds into the rest of my program. Something similar can be seen at http://www.atmos.washington.edu/~robwood/topic_cyclones.htm I've been looking at transform_scalar from basemap but I'm not quite sure this is what I should use. Mike: transform_scalar does simple bilinear interpolation from a lat/lon grid to a regular grid in map projection coordinates. If your map projection is just a lat/lon projection, then this amounts to interpolating from one lat/lon grid to another. If anyone can offer a solution, a point in the right direction, or just wave me off this path I'd be most appreciative. I'm sure numpy/matplotlib can do what you need to do. Matplotlib can certainly make a plot similar to the one given in your link. I think you question relates more to the processing of your arrays though, and not specifically the plotting. Are all your 2d arrays the same shape (the same number of lats and lons)? Are they just centered on different regions? If so, I think you can just multiply each grid point by the cosine of latitude to get the proper area weighting before summing them together. But perhaps I'm missing the essence of your question -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : [EMAIL PROTECTED] 325 BroadwayOffice : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] can matplotlib do this?
mbauer wrote: Thanks Jeff, To clarify, I'm sampling a numpy array (regular lon/lat grid) and extracting a series of same size frames (say 60 longitude grids and 30 latitude grids) around a feature of interest, which can be centered somewhere on the map. What I want to do is accumulate statistics with these frames such that the relative size/distances are persevered, which of course means that I can't just add a frame centered on 30N with one centered on 80N. Ideally, I'd like to interpolate each frame to a common point (lon/lat) and display the results either in the common grid space or as radial distances from the common point. Since you're a meteorologist I can simply say I'm creating an ensemble average of extra tropical cyclones from a dozen or so computer models (each with very different resolutions). I want to see how cloud and precipitation features in each model's cyclones compare to a similar product I'm producing from satellite data using weather model output to locate the cyclones. Much the same thing as the link I provided. Thanks for your suggests as transform_scalar sounds like a good place to begin. Mike Mike: Thanks for the explanation, I get it now - and I think I have just the thing for you. First, define a Basemap instance for a Lambert Conformal projection centered on each of you frames that is 5000 km wide and 5000 km tall. # for frame centered on lon_0, lat_0. # resolution=None skips processing of boundary datasets to save time. m = Basemap(lon_0=lon_0, lat_0=lat_0, projection='lcc', \ width=500, height=500, resolution=None) Now interpolate your data to a nx by ny grid that is regular in the map projection region. # data is the lat/lon gridded data, lons and lats are 1D arrays in degrees. data2 = m.transform_scalar(data, lons, lats, nx, ny) The data2 grids will be approximately equally spaced on the surface of the earth, regardless on lat_0 and lon_0. Therefore, you should be able to just ensemble average all the data2 grids and preserve the relative shapes and sizes of the features (this is helped by the fact that the projection is conformal, or shape-preserving). HTH, -Jeff On Dec 11, 2007, at 4:57 PM, Jeff Whitaker wrote: mbauer wrote: Matplotlib users, I looking to tap your wealth of ideas and experience to help solve a problem I'm working on. The problem: I have a series of 2d scalar arrays representing a fixed width/height lon/lat box centered on an arbitrary lon/lat. I need to average these composites on a common basis that accommodates the scale changes due to latitude, preferably by shifting everything to a common central lon/lat (a polar/radial distance basis would work too). I want a plot of the end result too and I'm like to do everything with matplotlib and python so that it folds into the rest of my program. Something similar can be seen at http://www.atmos.washington.edu/~robwood/topic_cyclones.htm I've been looking at transform_scalar from basemap but I'm not quite sure this is what I should use. Mike: transform_scalar does simple bilinear interpolation from a lat/lon grid to a regular grid in map projection coordinates. If your map projection is just a lat/lon projection, then this amounts to interpolating from one lat/lon grid to another. If anyone can offer a solution, a point in the right direction, or just wave me off this path I'd be most appreciative. I'm sure numpy/matplotlib can do what you need to do. Matplotlib can certainly make a plot similar to the one given in your link. I think you question relates more to the processing of your arrays though, and not specifically the plotting. Are all your 2d arrays the same shape (the same number of lats and lons)? Are they just centered on different regions? If so, I think you can just multiply each grid point by the cosine of latitude to get the proper area weighting before summing them together. But perhaps I'm missing the essence of your question -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : [EMAIL PROTECTED] 325 BroadwayOffice : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : [EMAIL PROTECTED] 325 BroadwayOffice : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php ___
Re: [Matplotlib-users] CocoaAgg backend status?
sorry to be a wet blanket, but... Barry Wark wrote: going native for rendering would allow mpl to integrate more smoothly with the rest of the 2D and 3D MPL is really only a 2D system -- there's been talk of the next generation version building 3D in, but we're really not there yet. ability to offload rendering and/or coordinate transformation to the graphics card, With the multi-backend paradigm, it's really hard to truly take advantage of this kind of thing -- optimum performance on any given platform is just not going to happen. ability to easily produce output in any of the CoreImage supported formats, That's nice, but again, a bit out of sync with the cross platform nature of MPL. ability to incorporate transparency and alpha blending within the view hierarchy, ability to combine media (QuickTime, OpenGL, and Quartz) in layers (the real purpose of the CoreAnimation engine), again -- very platform specific. In short, CoreGraphics is the obvious choice for a Mac-only tools, but the advantages are greatly reduced for a platform and back-end independent tool like MPL. Which isn't to say that the Cocoa back-end isn't a good idea -- but the primary reason for it that I see is to be able to integrate with PyObjC apps. Really, Agg (or Cairo, if we didn't have those pesky licensing issues) is a great way to go for a tool like MPL. It rally keeps things platform independent. If MPL does go 3D in the future, then OpenGL is probably the way to go too -- it's more or less the same everywhere. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/ORR(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [EMAIL PROTECTED] - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] new location of home.ppm
Hello - It seems that in the latest version (0.9.1) the location of the images, such as home.ppm, has moved to a new directory. It used to be in ...\mpl-data and now it is in ...\mpl-data\images This totally breaks my code, as I use my own toolbar that uses these images, with a hardcoded location of the ppm files. I know, I should from now on distribute these ppm files with the distribution of my own program, but there may be others that have this problem. Not sure what the best solution is. WIll it remain in this new images directory from now on? Thanks, Mark ps. Cross-posted on the users and development list ps2. Sorry, it sounds like I am bitching, but I really like matplotlib. Just needed to point out this backwards incompatibility, which may just be ugly coding on my part - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] RuntimeError after clearing and plotting for many times
Ok, I've just read the thread Repeated calls to set_text using TeX formatting results in RuntimeError which looked very similar to our problem and after applying the fix which is suggested there by Michael Droettboom (see below), the problem seems to disappear. Let's hope this gets fixed in 0.91.2. Open the file font_manager.py, which should live in %PYTHONPATH%/Lib/site-packages/matplotlib. Around line 681, you'll find the function: def __hash__(self): return hash(repr(self.__props)) Change it to: def __hash__(self): return hash(repr(self.__props.__dict__)) (Obviously, back up the file first...) On Dec 12, 2007 8:32 PM, Armando Serrano Lombillo [EMAIL PROTECTED] wrote: I'm running into the very same problem. I'm using matplotlib from a wxPython application, the same versions as you (Yongtao Cui), and I get the same error (see below) after repainting a figure many times. In my case I plot several figures (16 figures) and I get the error with very few repaintings. This didn't happen with matplotlib 0.90.1. Any fix besides going back to matplotlib 0.90.1? Traceback (most recent call last): Traceback (most recent call last): File C:\Tesis\Programa\visualizador.py, line 93, in on_intervalos File C:\Tesis\Programa\visualizador.py, line 126, in pinta File C:\Python25\Lib\site-packages\matplotlib\backends\backend_wxagg.py, line 61, in draw File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 380, in draw File C:\Python25\Lib\site-packages\matplotlib\figure.py, line 612, in draw File C:\Python25\Lib\site-packages\matplotlib\axes.py, line 1344, in draw File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 596, in draw File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 170, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 775, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 317, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 195, in _get_layout File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 234, in get_text_width_height_descent File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 301, in _get_agg_font RuntimeError: Could not open facefile C:\WINDOWS\Fonts\verdana.ttf; Cannot_Open_Resource File C:\Tesis\Programa\visualizador.py, line 93, in on_intervalos File C:\Tesis\Programa\visualizador.py, line 126, in pinta File C:\Python25\Lib\site-packages\matplotlib\backends\backend_wxagg.py, line 61, in draw File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 380, in draw File C:\Python25\Lib\site-packages\matplotlib\figure.py, line 612, in draw File C:\Python25\Lib\site-packages\matplotlib\axes.py, line 1344, in draw File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 596, in draw File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 170, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 775, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 317, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 195, in _get_layout File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 234, in get_text_width_height_descent File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 301, in _get_agg_font RuntimeError: Could not open facefile C:\WINDOWS\Fonts\verdana.ttf; Cannot_Open_Resource On Dec 5, 2007 3:15 AM, Yongtao Cui [EMAIL PROTECTED] wrote: I don't know why those spaces always don't show up on the mailing list webpage. They looked fine on my gmail page. The 'test' function only has one 'for' loop. The four lines below the 'for' line are all in the loop. On Dec 4, 2007 8:52 PM, Yongtao Cui [EMAIL PROTECTED] wrote: import pylab def test(n): for i in range(n): f=pylab.figure(1) f.clf() a=f.add_axes([0.2, 0.2, 0.6 , 0.6]) a.plot([1,2,3,4,5], 'ro') I tracked down the svn tree. The above script works ok in revision 3737 and before, but crashes from revision 3738 and after. Yongtao On Dec 2, 2007 4:15 PM, Yongtao Cui [EMAIL PROTECTED] wrote: Below is the minimum code with the right indent import pylab def test(n): for i in range(n): f=pylab.figure(1) f.clf() a=f.add_axes([0.2, 0.2, 0.6 , 0.6]) a.plot([1,2,3,4,5], 'ro') On Dec 2, 2007 4:07 PM, Yongtao Cui [EMAIL PROTECTED] wrote: Hi, I got the following error when clearing and plotting on the same figure for many times. I found the following minimum code to reproduce this error. I am using matplotlib-0.91.1 and wxpython2.8 on windows xp. In the matplotlibrc file, I changed the backend to WXAgg and interactive to True.
Re: [Matplotlib-users] CocoaAgg backend status?
Barry Wark wrote: We're just hoping to integrate the plot output with the Quartz rendeirng system more completely -- a very platform specific goal. Fair enough, and MPL as a whole could learn from your work too. Do please report your progress. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/ORR(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [EMAIL PROTECTED] - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] RuntimeError after clearing and plotting for many times
I'm running into the very same problem. I'm using matplotlib from a wxPython application, the same versions as you (Yongtao Cui), and I get the same error (see below) after repainting a figure many times. In my case I plot several figures (16 figures) and I get the error with very few repaintings. This didn't happen with matplotlib 0.90.1. Any fix besides going back to matplotlib 0.90.1? Traceback (most recent call last): Traceback (most recent call last): File C:\Tesis\Programa\visualizador.py, line 93, in on_intervalos File C:\Tesis\Programa\visualizador.py, line 126, in pinta File C:\Python25\Lib\site-packages\matplotlib\backends\backend_wxagg.py, line 61, in draw File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 380, in draw File C:\Python25\Lib\site-packages\matplotlib\figure.py, line 612, in draw File C:\Python25\Lib\site-packages\matplotlib\axes.py, line 1344, in draw File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 596, in draw File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 170, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 775, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 317, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 195, in _get_layout File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 234, in get_text_width_height_descent File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 301, in _get_agg_font RuntimeError: Could not open facefile C:\WINDOWS\Fonts\verdana.ttf; Cannot_Open_Resource File C:\Tesis\Programa\visualizador.py, line 93, in on_intervalos File C:\Tesis\Programa\visualizador.py, line 126, in pinta File C:\Python25\Lib\site-packages\matplotlib\backends\backend_wxagg.py, line 61, in draw File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 380, in draw File C:\Python25\Lib\site-packages\matplotlib\figure.py, line 612, in draw File C:\Python25\Lib\site-packages\matplotlib\axes.py, line 1344, in draw File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 596, in draw File C:\Python25\Lib\site-packages\matplotlib\axis.py, line 170, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 775, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 317, in draw File C:\Python25\Lib\site-packages\matplotlib\text.py, line 195, in _get_layout File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 234, in get_text_width_height_descent File C:\Python25\Lib\site-packages\matplotlib\backends\backend_agg.py, line 301, in _get_agg_font RuntimeError: Could not open facefile C:\WINDOWS\Fonts\verdana.ttf; Cannot_Open_Resource On Dec 5, 2007 3:15 AM, Yongtao Cui [EMAIL PROTECTED] wrote: I don't know why those spaces always don't show up on the mailing list webpage. They looked fine on my gmail page. The 'test' function only has one 'for' loop. The four lines below the 'for' line are all in the loop. On Dec 4, 2007 8:52 PM, Yongtao Cui [EMAIL PROTECTED] wrote: import pylab def test(n): for i in range(n): f=pylab.figure(1) f.clf() a=f.add_axes([0.2, 0.2, 0.6, 0.6]) a.plot([1,2,3,4,5], 'ro') I tracked down the svn tree. The above script works ok in revision 3737 and before, but crashes from revision 3738 and after. Yongtao On Dec 2, 2007 4:15 PM, Yongtao Cui [EMAIL PROTECTED] wrote: Below is the minimum code with the right indent import pylab def test(n): for i in range(n): f=pylab.figure(1) f.clf() a=f.add_axes([0.2, 0.2, 0.6, 0.6]) a.plot([1,2,3,4,5], 'ro') On Dec 2, 2007 4:07 PM, Yongtao Cui [EMAIL PROTECTED] wrote: Hi, I got the following error when clearing and plotting on the same figure for many times. I found the following minimum code to reproduce this error. I am using matplotlib-0.91.1 and wxpython2.8 on windows xp. In the matplotlibrc file, I changed the backend to WXAgg and interactive to True. import pylab def test(n): for i in range(n): f=pylab.figure(1) f.clf() a=f.add_axes([0.2, 0.2, 0.6, 0.6]) a.plot([1,2,3,4,5], 'ro') The error only happens for a large n. For example, test(10) works fine, but test(50) will cause the error. Also runing test(10) for a few times will also cause the error. Could anyone give me some help? Thanks. The following is the error message: Traceback (most recent call last): File input, line 1, in module File input, line 3, in test File C:\Python25\Lib\site-packages\matplotlib\pyplot.py, line 191, in figure File C:\Python25\Lib\site-packages\matplotlib\backends\backend_wx.py, line 1227, in draw_if_interactive File
[Matplotlib-users] setting figure extent to only include extent of Axes
All: I have an issue I'm hoping someone here can help with. I've created a encapsulated postscript figure from pylab (basemap, actually, but it shouldn't make a difference), and I'd like to have the entire saved image be the extent of the axes, with no border whatsoever. Is there a way to set the extent of either the axes or the figure so that this is so? And before someone points this out to me - yes, I realize that there are other tools (ImageMagick, for example) I could use to trim the whitespace around the edge of the image, but this is part of an automated system and I'd prefer not to have to bomb out to a shell for something like that. Thanks, Mike -- Michael Hearne [EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] setting figure extent to only include extent of Axes
You can set the position of the axes with set_position and give it a list of the form [l, b, w, h], where the values range from 0 to 1. e.g.: gca().set_position([0, 0, 1, 1]) Cheers, Mike Michael Hearne wrote: All: I have an issue I'm hoping someone here can help with. I've created a encapsulated postscript figure from pylab (basemap, actually, but it shouldn't make a difference), and I'd like to have the entire saved image be the extent of the axes, with no border whatsoever. Is there a way to set the extent of either the axes or the figure so that this is so? And before someone points this out to me - yes, I realize that there are other tools (ImageMagick, for example) I could use to trim the whitespace around the edge of the image, but this is part of an automated system and I'd prefer not to have to bomb out to a shell for something like that. Thanks, Mike -- Michael Hearne [EMAIL PROTECTED] mailto:[EMAIL PROTECTED] (303) 273-8620 USGS National Earthquake Information Center 1711 Illinois St. Golden CO 80401 Senior Software Engineer Synergetics, Inc. -- - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] new location of home.ppm
On Dec 12, 2007 1:29 PM, Mark Bakker [EMAIL PROTECTED] wrote: It seems that in the latest version (0.9.1) the location of the images, such as home.ppm, has moved to a new directory. It used to be in ...\mpl-data and now it is in ...\mpl-data\images This totally breaks my code, as I use my own toolbar that uses these images, with a hardcoded location of the ppm files. I know, I should from now on distribute these ppm files with the distribution of my own program, but there may be others that have this problem. Not sure what the best solution is. WIll it remain in this new images directory from now on? Can't say for sure, but we have no plans to move it. You may want to follow the API_CHANGES at http://matplotlib.sf.net/API_CHANGES, which we update whenever we do something that breaks code. This move to the images subdirectory in the install directory was noted with: Moved data files into lib/matplotlib so that setuptools' develop mode works. Re-organized the mpl-data layout so that this source structure is maintained in the installation. (I.e. the 'fonts' and 'images' sub-directories are maintained in site-packages.). Suggest removing site-packages/matplotlib/mpl-data and ~/.matplotlib/ttffont.cache before installing Admittedly a bit cryptic. JDH Thanks, Mark ps. Cross-posted on the users and development list ps2. Sorry, it sounds like I am bitching, but I really like matplotlib. Just needed to point out this backwards incompatibility, which may just be ugly coding on my part - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] setting figure extent to only include extent of Axes
Michael Hearne wrote: All: I have an issue I'm hoping someone here can help with. I've created a encapsulated postscript figure from pylab (basemap, actually, but it shouldn't make a difference), and I'd like to have the entire saved image be the extent of the axes, with no border whatsoever. Is there a way to set the extent of either the axes or the figure so that this is so? And before someone points this out to me - yes, I realize that there are other tools (ImageMagick, for example) I could use to trim the whitespace around the edge of the image, but this is part of an automated system and I'd prefer not to have to bomb out to a shell for something like that. Thanks, Mike Mike: Create an axes instance (before drawing anything with your basemap instance) like this: fig = pylab.figure(figsize=(X,Y)) ax = fig.add_axes([0,0,1,1]) X and Y need to be set to the desired width and height of your figure in inches. To avoid having any border, Y/X must be exactly equal to the aspect ratio of the map projection region (which you can get from the 'aspect' Basemap instance variable). -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : [EMAIL PROTECTED] 325 BroadwayOffice : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] [matplotlib-devel] New flags in IPython, of interest to matplotlib users
On Dec 12, 2007 7:16 AM, Paul Kienzle [EMAIL PROTECTED] wrote: I'm curious about the term 'threading backend'. Recently I posted a question about how to handle slow plots, suggesting that the backend canvas have an isabort() method so that the renderer can stop what it is doing and post the current bitmap as it stands. This is to support interactive operations such as panning and resizing on large data collections. Do you mean something similar when you say 'threading backend', and is it already supported in IPython? No, it just means that ipython can run in conjunction with the major GUI toolkits in a non-blocking manner. In a plain python shell, if you open a plot window (for any backend other than Tk), you can't go back to the prompt and keep typing until you close the plot. IPython allows that to happen, with Wx, GTK, Qt and Qt4. Cheers, f - SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
