[Matplotlib-users] How to remove white space
Dear All, I have one .png image of 940X780 and i am plotting waveforms on it. When I save this plot as .png , matp[lotlib gives image in 800X600 that too with white space. I dont want to keep the white space and i want the same resolution as original image.How should I go ahead? Thanks in advance!!! Regards Yogesh -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to remove white space
On Thursday 01 April 2010 09:41:06 yogesh karpate wrote:
Dear All,
I have one .png image of 940X780 and i am plotting waveforms
on it. When I save this plot as .png , matp[lotlib gives image in
800X600 that too with white space. I dont want to keep the white space and
i want the same resolution as original image.How should I go ahead?
Thanks in advance!!!
Regards
Yogesh
Hi Yogesh,
Doesn't the following example fulfill your needs (already posted to How to
save file in to image in desired resolution in matplotlib?)?
fig = plt.figure(figsize=(9.4, 7.8))
ax = plt.axes([0.0, 0.0, 1.0, 1.0]) # leaves no white space around the axes
ax.plot([1, 2, 4], lw=5)
ax.set_xticks([]) # removes ticks
ax.set_yticks([])
fig.savefig('test.png', dpi=100)
Kind regards,
Matthias
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[Matplotlib-users] Change axis's scale
Hi all, I have several graph to create and the position on the x axis can vary quite a lot. Most of the time I'm quite happy with the default behavior but when my x values are very high matplotlib automatically change the ticks and set a scale on the axis (see screenshot) http://img6.imageshack.us/img6/6834/chab052195802198642shif.png I looking for a way to change the default behavior to get a scale in 10E** instead of some random scale. Is there a simple way of doing that? Thanks a lot for your help Tim -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Change axis's scale
On Thursday 01 April 2010 12:27:59 timothee cezard wrote:
Hi all,
I have several graph to create and the position on the x axis can vary
quite a lot.
Most of the time I'm quite happy with the default behavior but when my x
values are very high matplotlib automatically change the ticks and set a
scale on the axis (see screenshot)
http://img6.imageshack.us/img6/6834/chab052195802198642shif.png
I looking for a way to change the default behavior to get a scale in
10E** instead of some random scale.
Is there a simple way of doing that?
Thanks a lot for your help
Tim
Hi Tim,
the random scale you are observing is the originalscale, where some useful
offset has been substracted and is shown in the lower right.
You can circumvent this behaviour by using your own Formatter like a
ScalarFormatter withour offset:
formatter = plt.ScalarFormatter(useOffset=False)
Furthermore you can switch off the scientific formatting (extracting a common
prefactor) using
formatter.set_scientific(False)
Applying this formatter to the current axes:
plt.gca().xaxis.set_major_formatter(formatter)
or a string-formatter like
majorFormatter = plt.FormatStrFormatter('%.5e')
or
majorFormatter = plt.FormatStrFormatter('%g')
Kind regards,
Matthias
PS: By the way, you should start a new thread for a new topic (sending a new
mail to mpl-users) instead of responding to another message.
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[Matplotlib-users] Problems with Matplotlib and Python 2.6
Dear ALL, Long time no see Well, I have recently upgraded from Ubuntu Intrepid to Jaunty (sure, I know that I'm a couple of versions delayed, but keeping a working system stable is essential). I did not a fresh install of Ubuntu, just upgraded using the system's facility for that. Previously I have did that from Ubuntu Hardy to Intrepid, with less (or no) troubles. However, in Jaunty the default Python interpreter has been upgraded from 2.5 to 2.6 and this is presenting the most annoying problems. For now, the most vexing problem is that although Matplotlib is correctly installed and seemingly working, it does not show any graphics! For exemple, if I run the simple example from Matplotlib's website: Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41) [GCC 4.3.3] on linux2 Type help, copyright, credits or license for more information. from pylab import randn, hist x = randn(1) hist(x, 100) Instead of a nice histogram, I am just presented with a dump of the contents of an array: (array([ 2, 0, 1, 2, 1, 2, 1, 3, 4, 7, 15, 16, 9, (cut here to save space) 3.97823055, 4.05708515, 4.13593975, 4.21479434, 4.29364894, 4.37250354]), a list of 100 Patch objects) No error messages or complaints about a missing graphics backend is issued, so I'm lost. Any hints? Thanks in advance for any assistance you can provide. Best wishes, -- Dr. Mauro J. Cavalcanti P.O. Box 46521, CEP 20551-970 Rio de Janeiro, RJ, BRASIL E-mail: mauro...@gmail.com Web: http://sites.google.com/site/maurobio Linux Registered User #473524 * Ubuntu User #22717 -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problems with Matplotlib and Python 2.6
On Thu, Apr 1, 2010 at 13:53, Mauro Cavalcanti mauro...@gmail.com wrote: Dear ALL, Long time no see Well, I have recently upgraded from Ubuntu Intrepid to Jaunty (sure, I know that I'm a couple of versions delayed, but keeping a working system stable is essential). I did not a fresh install of Ubuntu, just upgraded using the system's facility for that. Previously I have did that from Ubuntu Hardy to Intrepid, with less (or no) troubles. However, in Jaunty the default Python interpreter has been upgraded from 2.5 to 2.6 and this is presenting the most annoying problems. Yeah, let's all thanks Ubuntu for the its attention to quality and well-prepared transitions... For now, the most vexing problem is that although Matplotlib is correctly installed and seemingly working, it does not show any graphics! For exemple, if I run the simple example from Matplotlib's website: Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41) [GCC 4.3.3] on linux2 Type help, copyright, credits or license for more information. from pylab import randn, hist x = randn(1) hist(x, 100) On Debian, $ python2.6 Python 2.6.5rc2 (r265rc2:78822, Mar 11 2010, 16:48:00) [GCC 4.4.3] on linux2 Type help, copyright, credits or license for more information. from pylab import randn, hist, show x = randn(1) hist(x, 100) show() works as expected $ python2.6 -c import matplotlib ; print matplotlib.__version__ 0.99.1.1 Wouldn't you want to run ipython instead of python? Regards, -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problems with Matplotlib and Python 2.6
On Thu, Apr 1, 2010 at 7:53 AM, Mauro Cavalcanti mauro...@gmail.com wrote: Dear ALL, Long time no see Well, I have recently upgraded from Ubuntu Intrepid to Jaunty (sure, I know that I'm a couple of versions delayed, but keeping a working system stable is essential). I did not a fresh install of Ubuntu, just upgraded using the system's facility for that. Previously I have did that from Ubuntu Hardy to Intrepid, with less (or no) troubles. However, in Jaunty the default Python interpreter has been upgraded from 2.5 to 2.6 and this is presenting the most annoying problems. For now, the most vexing problem is that although Matplotlib is correctly installed and seemingly working, it does not show any graphics! For exemple, if I run the simple example from Matplotlib's website: Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41) [GCC 4.3.3] on linux2 Type help, copyright, credits or license for more information. from pylab import randn, hist x = randn(1) hist(x, 100) Instead of a nice histogram, I am just presented with a dump of the contents of an array: (array([ 2, 0, 1, 2, 1, 2, 1, 3, 4, 7, 15, 16, 9, (cut here to save space) 3.97823055, 4.05708515, 4.13593975, 4.21479434, 4.29364894, 4.37250354]), a list of 100 Patch objects) No error messages or complaints about a missing graphics backend is issued, so I'm lost. Any hints? When you run setup.py, the install routines attempt to determine what backend to use. If a suitable gui toolkit is not found, mpl defaults to the Agg backend. I suggest creating a matplotlibrc file that specifies a gui backend. Darren -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problems with Matplotlib and Python 2.6
Dears Sandro Darren, First of all, thank you *very much* for the fast reply! Let's see... I have the same problem (no graphics display) with either Python and IPython. BTW, in previous versions of Python which I'v used (2.3, 2.4, and 2.5) Matplotlib graphic backends always worked quite well. I forgot to mention that I'm using the default version of Matplotlib that comes with Jaunty and it is quite old (0.98.5.2). Should I will try to reinstall it from the sources (easy_install only finds the old version)? I will check the matplotlibrc, but why should the Agg default backend not work? With best regards, 2010/4/1 Darren Dale dsdal...@gmail.com: On Thu, Apr 1, 2010 at 7:53 AM, Mauro Cavalcanti mauro...@gmail.com wrote: Dear ALL, Long time no see Well, I have recently upgraded from Ubuntu Intrepid to Jaunty (sure, I know that I'm a couple of versions delayed, but keeping a working system stable is essential). I did not a fresh install of Ubuntu, just upgraded using the system's facility for that. Previously I have did that from Ubuntu Hardy to Intrepid, with less (or no) troubles. However, in Jaunty the default Python interpreter has been upgraded from 2.5 to 2.6 and this is presenting the most annoying problems. For now, the most vexing problem is that although Matplotlib is correctly installed and seemingly working, it does not show any graphics! For exemple, if I run the simple example from Matplotlib's website: Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41) [GCC 4.3.3] on linux2 Type help, copyright, credits or license for more information. from pylab import randn, hist x = randn(1) hist(x, 100) Instead of a nice histogram, I am just presented with a dump of the contents of an array: (array([ 2, 0, 1, 2, 1, 2, 1, 3, 4, 7, 15, 16, 9, (cut here to save space) 3.97823055, 4.05708515, 4.13593975, 4.21479434, 4.29364894, 4.37250354]), a list of 100 Patch objects) No error messages or complaints about a missing graphics backend is issued, so I'm lost. Any hints? When you run setup.py, the install routines attempt to determine what backend to use. If a suitable gui toolkit is not found, mpl defaults to the Agg backend. I suggest creating a matplotlibrc file that specifies a gui backend. Darren -- Dr. Mauro J. Cavalcanti P.O. Box 46521, CEP 20551-970 Rio de Janeiro, RJ, BRASIL E-mail: mauro...@gmail.com Web: http://sites.google.com/site/maurobio Linux Registered User #473524 * Ubuntu User #22717 -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problems with Matplotlib and Python 2.6
I will check the matplotlibrc, but why should the Agg default backend not work? Because 'Agg' is a file-based backend, that you use when you want to generate a file as output (a PNG, f.e.), so savefig() works while show() not. You are looking for a GUI backend, something like TkAgg, GTKAgg or Qt4Agg, that calling show() will generate a window with the graph in it. Regards, -- Sandro Tosi (aka morph, morpheus, matrixhasu) My website: http://matrixhasu.altervista.org/ Me at Debian: http://wiki.debian.org/SandroTosi -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problems with Matplotlib and Python 2.6
On 1 April 2010 13:53, Mauro Cavalcanti mauro...@gmail.com wrote: Python 2.6.2 (release26-maint, Apr 19 2009, 01:56:41) [GCC 4.3.3] on linux2 Type help, copyright, credits or license for more information. from pylab import randn, hist x = randn(1) hist(x, 100) Instead of a nice histogram, I am just presented with a dump of the contents of an array: (array([ 2, 0, 1, 2, 1, 2, 1, 3, 4, 7, 15, 16, 9, (cut here to save space) 3.97823055, 4.05708515, 4.13593975, 4.21479434, 4.29364894, 4.37250354]), a list of 100 Patch objects) No error messages or complaints about a missing graphics backend is issued, so I'm lost. Are you even expecting the correct behaviour? I'm under the impression that it's necessary to import and call show() if you want to see the plot? I thought it was necessary to use IPython in pylab mode to get the behaviour you're after i.e calling hist also brings up the plot window. I guess I'm hijacking your thread to ask whether the example on the front page is misleading, or if my understanding is flawed? Cheers, Scott -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] How to overlay an image on a multi plot?
Hi All, I used the http://matplotlib.sourceforge.net/examples/pylab_examples/scatter_hist.html scatter_hist example from the Gallery to create the following visualization: http://old.nabble.com/file/p28111498/Full5%252B8%252B2_vs_Bulk1%252B2.png What I would like to do is overlay some http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001OR sparklines so in one visualization I can see - The correlation between two variables - The marginal densities of the variables - A quick idea of what the variables did in time I found some Python code for generating sparklines at M http://www.perrygeo.net/wordpress/?p=64 atthew Perry's blog . The code works great for my purposes, and the sparklines are dumped out as PNG files, like this one http://old.nabble.com/file/p28111498/spark_x.png But, all of the examples and forum discussions I can find pertain to using an image as the background for a set of axes, and then plotting or contouring over the image. I simply want to overlay a PNG on an existing set of multiple axes. I know I can use something like Adobe Illustrator to do this outside of matplotlib, but is there a way to do this programmatically? Thanks! - Josh Hemann Statistical Advisor http://www.vni.com/ Visual Numerics jhemann at vni dizzot com -- View this message in context: http://old.nabble.com/How-to-overlay-an-image-on-a-multi-plot--tp28111498p28111498.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Changing the font
On Thu, Apr 1, 2010 at 11:21 AM, Alex S schmitt.happ...@gmail.com wrote: Hi there, I'm trying to change the font default on my graph to New Century Schoolbook. I'm trying to do this by editing the matplotlibrc file. Unfortunately, although I'm able to change the font.family, I can't figure out how to make it use something other than the default in the family... I tried changing the list further down to only include the font I want, like this: font.serif : New Century Schoolbook #Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif (note I commented out the other fonts, just rearranging the list to put New Century Schoolbook first didn't seem to work either) Could anyone tell me what I'm doing wrong? The default font family is sans-serif, so you also need to add: font.family : serif I think that should solve the problem. Cheers, Jeff -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Problems with Matplotlib and Python 2.6 - SOLVED
Dear ALL, I finally solved the problems with displying graphics in Matplotib with Python 2.6 under Ubuntu Jaunty. It just turned out that, when upgrading from Intrepid to Jaunty, several required development packages were removed from the system. I just discovered that when trying to build and install the latest version of MPL from source. When I installed them, I could build, install and run the latest version (0.99.1.2) and it is working well! I had a similar problem with the wxPython 2.8 GUI library (all my GUI applications which worked well under Python 2.5 broke after the upgrade to Python 2.6), however in this case the wxPython developers mantain their own software repository, so that it was just a question of updating the software sources. Despite a few ours of pain/panic, I'm rather satisfied with Ubuntu Jaunty (and surely Karmic and Lynx are even better), which runs faster and easily than Intrepid and has less bugs than Hardy. Thanks to Sandro Tosi, Darren Dale, and Scott Sinclair for their suggestions. With warmest regards, -- Dr. Mauro J. Cavalcanti P.O. Box 46521, CEP 20551-970 Rio de Janeiro, RJ, BRASIL E-mail: mauro...@gmail.com Web: http://sites.google.com/site/maurobio Linux Registered User #473524 * Ubuntu User #22717 -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to overlay an image on a multi plot?
On 4/1/2010 1:26 PM, Josh Hemann wrote: What I would like to do is overlay some http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001OR sparklines so in one visualization I can see - The correlation between two variables - The marginal densities of the variables - A quick idea of what the variables did in time http://agile.unisonis.com/proj/sparkplot/sparkplot.py fwiw, Alan Isaac -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Animated quiver
Fiocco Davide wrote: Dear all, I'm trying to plot a 2D vector field. It's a function of time so I would like to display an animation. For single frames I used quiver and I'm happy with it... is there any way to update a quiver with time? If the vectors will always be at the same locations, then you can use the set_UVC method to update the vector data; this should make it possible to use one of the animation techniques for which examples are given in the examples/animation subdirectory of the mpl source distribution. (The examples subdirectory of the source is generally a better source of up-to-date examples than the cookbook.) I haven't tried it, though, and I don't know of any example specific to quiver. Depending on your use case, you may find it more desirable to save a set of single frames and then display them as a movie or animated gif. A movie-making example is included in examples/animation. Eric I tried something close to what I found on http://www.scipy.org/Cookbook/Matplotlib/Animations but that didn't work. Thanks a lot, Davide -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Changing the font
Hi, sorry I wasn't too clear... I changed that, but I don't seem to be able to choose between the different serif fonts, it just always gives me the default... Alex S wrote: Hi there, I'm trying to change the font default on my graph to New Century Schoolbook. I'm trying to do this by editing the matplotlibrc file. Unfortunately, although I'm able to change the font.family, I can't figure out how to make it use something other than the default in the family... I tried changing the list further down to only include the font I want, like this: font.serif : New Century Schoolbook #Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif (note I commented out the other fonts, just rearranging the list to put New Century Schoolbook first didn't seem to work either) Could anyone tell me what I'm doing wrong? Thanks a lot! Alex -- View this message in context: http://old.nabble.com/Changing-the-font-tp28111472p28112278.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] manual placement of a colorbar
On 4/1/10 1:24 PM, Mathew Yeates wrote: Hi I have a Basemap and I want to manually add a colorbar to the side. As you can see in the attached image, the colorbar is not correctly positioned. Here is a snippet of code ax=fig.add_axes([0.1,0.1,0.8,.8]) m = Basemap(resolution='c',projection='cyl',lon_0=0,ax=ax) cax = fig.add_axes([0.9, 0.1, 0.1, 0.8]) # setup colorbar axes. cmap = mpl.cm.cool norm = mpl.colors.Normalize(vmin=5, vmax=10) cb1 = mpl.colorbar.ColorbarBase(cax, cmap=cmap, norm=norm, orientation='vertical') what am I doing wrong? Mathew Nothing. You just have to tweak the cax parameters to get it positioned where you want it. A quick and dirty approach would be to let matplotlib position the colorbar by using import matplotlib.pyplot as plt plot stuff on basemap plt.colorbar(orientation='vertical',shrink=0.5) # play with the shrink param to get it to be the same size as the map -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : jeffrey.s.whita...@noaa.gov 325 BroadwayOffice : Skaggs Research Cntr 1D-113 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] manual placement of a colorbar
This doesn't work for what I'm doing. Unless I call contour or something similar, this will fail. I am only using m.plot and this doesn't set things up properly to call colorbar. On Thu, Apr 1, 2010 at 12:40 PM, Jeff Whitaker jsw...@fastmail.fm wrote: On 4/1/10 1:24 PM, Mathew Yeates wrote: Hi I have a Basemap and I want to manually add a colorbar to the side. As you can see in the attached image, the colorbar is not correctly positioned. Here is a snippet of code ax=fig.add_axes([0.1,0.1,0.8,.8]) m = Basemap(resolution='c',projection='cyl',lon_0=0,ax=ax) cax = fig.add_axes([0.9, 0.1, 0.1, 0.8]) # setup colorbar axes. cmap = mpl.cm.cool norm = mpl.colors.Normalize(vmin=5, vmax=10) cb1 = mpl.colorbar.ColorbarBase(cax, cmap=cmap, norm=norm, orientation='vertical') what am I doing wrong? Mathew Nothing. You just have to tweak the cax parameters to get it positioned where you want it. A quick and dirty approach would be to let matplotlib position the colorbar by using import matplotlib.pyplot as plt plot stuff on basemap plt.colorbar(orientation='vertical',shrink=0.5) # play with the shrink param to get it to be the same size as the map -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX: (303)497-6449 NOAA/OAR/PSD R/PSD1Email : jeffrey.s.whita...@noaa.gov 325 BroadwayOffice : Skaggs Research Cntr 1D-113 Boulder, CO, USA 80303-3328 Web: http://tinyurl.com/5telg -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] manual placement of a colorbar
If you're not afraid of contaminating your code with axes_grid toolkit, instead cax = fig.add_axes([0.9, 0.1, 0.1, 0.8]) # setup colorbar axes. try from mpl_toolkits.axes_grid import make_axes_locatable import matplotlib.axes as maxes divider = make_axes_locatable(ax) cax = divider.new_horizontal(5%, pad=0.05, axes_class=maxes.Axes) fig.add_axes(cax) This way, the height of the colorbar always matches that of your main axes. Regards, -JJ On Thu, Apr 1, 2010 at 3:24 PM, Mathew Yeates mat.yea...@gmail.com wrote: Hi I have a Basemap and I want to manually add a colorbar to the side. As you can see in the attached image, the colorbar is not correctly positioned. Here is a snippet of code ax=fig.add_axes([0.1,0.1,0.8,.8]) m = Basemap(resolution='c',projection='cyl',lon_0=0,ax=ax) cax = fig.add_axes([0.9, 0.1, 0.1, 0.8]) # setup colorbar axes. cmap = mpl.cm.cool norm = mpl.colors.Normalize(vmin=5, vmax=10) cb1 = mpl.colorbar.ColorbarBase(cax, cmap=cmap, norm=norm, orientation='vertical') what am I doing wrong? Mathew -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to save file in to image in desired resolution in matplotlib?
The list config got me, so to the list too ... 2010/3/31 Matthias Michler matthiasmich...@gmx.net: On Wednesday 31 March 2010 09:24:10 yogesh karpate wrote: Dear All, I am using one image of 235X130 and plotting the curve on it, now when i save it it goes in the resoltuion of 800X600, I want to keep the resolution intact.What can be done for that to keep the resolution same? You can adjust the resolution by changing the figure size and the dpi in savefig. I think, but am not shure, that a problem could be that text is scaled according to dpi, such that ugly things result with e.g. dpi = 2 or so. You can also use, when you have an 2-element iterable *shape* created, holding the pixel extent: dpi = fig.dpi fig.set_size_inches(shape[0] / dpi, shape[1] / dpi) The standard dpi is sensible, otherwise it's for sure possible to override beforehand. Then your save command should give the desired result. I have no time to check, sorry, may you do that :-) Thanks. Friedrich -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] manual placement of a colorbar
Thanks a bunch JJ. I've been trying to figure that one out all day! Mathew On Thu, Apr 1, 2010 at 1:04 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote: If you're not afraid of contaminating your code with axes_grid toolkit, instead cax = fig.add_axes([0.9, 0.1, 0.1, 0.8]) # setup colorbar axes. try from mpl_toolkits.axes_grid import make_axes_locatable import matplotlib.axes as maxes divider = make_axes_locatable(ax) cax = divider.new_horizontal(5%, pad=0.05, axes_class=maxes.Axes) fig.add_axes(cax) This way, the height of the colorbar always matches that of your main axes. Regards, -JJ On Thu, Apr 1, 2010 at 3:24 PM, Mathew Yeates mat.yea...@gmail.com wrote: Hi I have a Basemap and I want to manually add a colorbar to the side. As you can see in the attached image, the colorbar is not correctly positioned. Here is a snippet of code ax=fig.add_axes([0.1,0.1,0.8,.8]) m = Basemap(resolution='c',projection='cyl',lon_0=0,ax=ax) cax = fig.add_axes([0.9, 0.1, 0.1, 0.8]) # setup colorbar axes. cmap = mpl.cm.cool norm = mpl.colors.Normalize(vmin=5, vmax=10) cb1 = mpl.colorbar.ColorbarBase(cax, cmap=cmap, norm=norm, orientation='vertical') what am I doing wrong? Mathew -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] a quick way to plot 3D surface with point coordination?
2010/4/1 ericyosho ericyo...@gmail.com: And we know that for points with coordination, scatter must be the simplest way to visualize them. Is there any trick to convert a scatter graph into a surface picture directly? I'm afraid not, because one needs an algorithm to infer the connectivity :-( Friedrich -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Cmap creation
I'm running into walls trying to create a custom cmap.
Running the example custom_cmap.py unchanged, I get :
AttributeError: 'module' object has no attribute 'register_cmap'
args = ('module' object has no attribute 'register_cmap',)
I've included custom_cmap.py below. It's a major shortcoming that
there is not a suitable anomaly cmap (with white about the middle).
Please consider this for an addition.
Anyway, what am I missing with this error? Thanks so much!
Bruce
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[Matplotlib-users] speed up imports?
Has anyone had any success in speeding up the mpl imports? import matplotlib.pyplot as plt ( or from matplotlib.figure import Figure) takes 6 full seconds to load. That seems excessive. Any ideas? -Andy -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Cmap creation
You forgot about the attachment? Friedrich -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] speed up imports?
Hmm, I wrote one time a lazy-import module, you create objects and use
their attributes, but the object imports the module not earlier than
the first attribute access. Thus these objects are used like the
module via import module. I.e., module = Lazy('matplotlib.module').
There are also wrappers for classes for replacement of from moudule
import Class syntax. Is anybody interested, anyway?
Friedrich
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Re: [Matplotlib-users] speed up imports?
Andrew Kelly wrote: Has anyone had any success in speeding up the mpl imports? import matplotlib.pyplot as plt ( or from matplotlib.figure import Figure) takes 6 full seconds to load. That seems excessive. Any ideas? Unless you have a very old machine, it sounds like something is wrong. On my laptop it is about 0.6 seconds. About 20% of that is for numpy. Are mpl and numpy installed locally on your machine, as opposed to being accessed over a samba or nfs mount? Eric -Andy -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Cmap creation
The example works for me; Python 2.6.4 (recent Enthought install).
Can you use your new colormap without registering it?
C
On Apr 1, 2010, at 1 Apr, 2:14 PM, Bruce Ford wrote:
I'm running into walls trying to create a custom cmap.
Running the example custom_cmap.py unchanged, I get :
AttributeError: 'module' object has no attribute 'register_cmap'
args = ('module' object has no attribute 'register_cmap',)
I've included custom_cmap.py below. It's a major shortcoming that
there is not a suitable anomaly cmap (with white about the middle).
Please consider this for an addition.
Anyway, what am I missing with this error? Thanks so much!
Bruce
---
Bruce W. Ford
Clear Science, Inc.
br...@clearscienceinc.com
http://www.ClearScienceInc.com
Phone/Fax: 904-379-9704
8241 Parkridge Circle N.
Jacksonville, FL 32211
Skype: bruce.w.ford
Google Talk: for...@gmail.com
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Chloe Lewis
Graduate student, Amundson Lab
Ecosystem Sciences
137 Mulford Hall
Berkeley, CA 94720-3114
http://nature.berkeley.edu/~chlewis
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[Matplotlib-users] EPS files with LaTeX are invalid
Hello,
I upgraded to the latest svn version of matplotlib today, and found that eps
files produced with the system latex now seem to be invalid. For example, if I
run the following script
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as mpl
mpl.rc('text', usetex=False)
fig = mpl.figure()
ax = fig.add_subplot(1,1,1)
fig.savefig('test_notex.eps')
mpl.rc('text', usetex=True)
fig = mpl.figure()
ax = fig.add_subplot(1,1,1)
fig.savefig('test_tex.eps')
and try running pstopdf on them (on MacOS 10.6) I get the following
air:air tom$ pstopdf test_tex.eps
%%[ Warning: Empty job. No PDF file produced. ] %%
air:air tom$ pstopdf test_notex.eps
air:air tom$
So the file with the system LaTeX enabled no longer works. ps2pdf still works,
but the error with pstopdf is important, because for example Preview.app on mac
relies on pstopdf, not ps2pdf.
I tried this on two different computers under MacOS 10.6, and tried with
ghostscript 8.70 and 8.71 installed, and the problem occurs either way.
Does anyone know what might be causing this? I submitted a bug report a little
while back about this
https://sourceforge.net/tracker/?func=detailaid=2974953group_id=80706atid=560720
Thanks in advance for any help,
Thomas
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Re: [Matplotlib-users] speed up imports?
Andrew Kelly wrote: Has anyone had any success in speeding up the mpl imports? import matplotlib.pyplot as plt ( or from matplotlib.figure import Figure) takes 6 full seconds to load. That seems excessive. Any ideas? -Andy Andy, A couple replies came back directly to me (probably intended for the list, though), and both reported results similar to yours, on Windows machines only. What OS and version are you running? Eric -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] speed up imports?
Eric, I am running it on a windows 7 machine and a windows XP machine. Odd that it does this only on win32. -Andy On Thu, Apr 1, 2010 at 4:17 PM, Eric Firing efir...@hawaii.edu wrote: Andrew Kelly wrote: Has anyone had any success in speeding up the mpl imports? import matplotlib.pyplot as plt ( or from matplotlib.figure import Figure) takes 6 full seconds to load. That seems excessive. Any ideas? -Andy Andy, A couple replies came back directly to me (probably intended for the list, though), and both reported results similar to yours, on Windows machines only. What OS and version are you running? Eric -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] downloadable docs?
I live in a third world part of the US where internet access is via modem so reading the matplotlib docs via the internet very painful. A full afternoon trying to build the docs was unsuccessful. Is there anyplace where I can download pre-built HTML of all the docs (not just the User Manual)? -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] speed up imports?
On Thu, Apr 1, 2010 at 7:17 PM, Eric Firing efir...@hawaii.edu wrote: Andrew Kelly wrote: Has anyone had any success in speeding up the mpl imports? import matplotlib.pyplot as plt ( or from matplotlib.figure import Figure) takes 6 full seconds to load. That seems excessive. Any ideas? -Andy Andy, A couple replies came back directly to me (probably intended for the list, though), and both reported results similar to yours, on Windows machines only. What OS and version are you running? Sorry Eric, that was indeed intended for the list. Just for the list's sake, I'll repeat it: It takes longer than any other Python module for me, too, about 5-6 seconds on a cold load (on Windows), though faster on a warm load. I am running it locally on a laptop that is 1.7 GHz Intel Pentium laptop with 1Meg RAM. And I should add: I don't currently have Linux installed, but will soon again I hope, and I will take note of how long it takes on Linux. Thanks, Che -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] speed up imports?
On Thu, Apr 1, 2010 at 7:57 PM, C M cmpyt...@gmail.com wrote:
On Thu, Apr 1, 2010 at 7:17 PM, Eric Firing efir...@hawaii.edu wrote:
Andrew Kelly wrote:
Has anyone had any success in speeding up the mpl imports?
import matplotlib.pyplot as plt
( or from matplotlib.figure import Figure)
takes 6 full seconds to load. That seems excessive. Any ideas?
-Andy
Andy,
A couple replies came back directly to me (probably intended for the
list, though), and both reported results similar to yours, on Windows
machines only. What OS and version are you running?
Sorry Eric, that was indeed intended for the list. Just for the
list's sake, I'll repeat it:
It takes longer than any other Python module for me, too, about 5-6
seconds on a cold load (on Windows), though faster on a warm load.
I am running it locally on a laptop that is 1.7 GHz Intel Pentium
laptop with 1Meg RAM.
And I should add: I don't currently have Linux installed, but will
soon again I hope, and I will take note of how long it takes on Linux.
Thanks,
Che
This is Intel Core 2 Duo 2.5Ghz with 4GB Ram.
Platform :
Linux-2.6.31.9-174.fc12.i686.PAE-i686-with-fedora-12-Constantine
Python : ('CPython', 'tags/r262', '71600')
IPython : 0.10
Matplotlib : 1.0.svn.rev8214
I[2]: %time import matplotlib.pyplot as plt
CPU times: user 0.35 s, sys: 0.09 s, total: 0.43 s
Wall time: 1.18 s
My test-bed is IPython -pylab and the first load always takes longer.
Probably it's caching at the first time to speed-up later imports.
--
Gökhan
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Re: [Matplotlib-users] downloadable docs?
On Thu, Apr 1, 2010 at 6:04 PM, Stuart McGraw smcg4...@frii.com wrote: I live in a third world part of the US where internet access is via modem so reading the matplotlib docs via the internet very painful. A full afternoon trying to build the docs was unsuccessful. Is there anyplace where I can download pre-built HTML of all the docs (not just the User Manual)? My build-html folder is 111.8 MB totaling 4.215 files. 7z compression makes it down to 72 MB. tar.lzma 85 MB, and tar.bz2 92MB As far as I know having a recent version of Sphinx, you should be able to build the documentation yourself. What problems are you seeing? PDF version ~8MB might be the best option providing that you have low-speed internet http://matplotlib.sf.net/Matplotlib.pdf -- Gökhan -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] downloadable docs?
On 04/01/2010 08:09 PM, Gökhan Sever wrote: On Thu, Apr 1, 2010 at 6:04 PM, Stuart McGraw smcg4...@frii.com mailto:smcg4...@frii.com wrote: I live in a third world part of the US where internet access is via modem so reading the matplotlib docs via the internet very painful. A full afternoon trying to build the docs was unsuccessful. Is there anyplace where I can download pre-built HTML of all the docs (not just the User Manual)? My build-html folder is 111.8 MB totaling 4.215 files. 7z compression makes it down to 72 MB. tar.lzma 85 MB, and tar.bz2 92MB As far as I know having a recent version of Sphinx, you should be able to build the documentation yourself. What problems are you seeing? I have python-2.6, matplotlib-0.99.1, spinx-0.6.5 installed on Fedora-11 via Fedora's package management system. I unpacked the matplotlib source in a tmp dir, cd'd to the doc/ dir, did python make.py html and got a lot of warnings and errors that I do not recall. Figuring it maybe needed the local src built, I cd'd to matplotlib and did a python setup.py build which went ok. Retried the doc python make.py html -- this time failed when trying to build the examples/pylab_examples/loadrec.py example: could not import xlwt. Downloaded, installed xlwt. Still fails on same example, this time with core dump. (For brevity I've left out a lot of other things I tried.) Gave up. :-( PDF version ~8MB might be the best option providing that you have low-speed internet http://matplotlib.sf.net/Matplotlib.pdf Yes, after looking at it, I think it will do fine. I posted while downloading it and didn't realize the api doc was included. I guess what I am actually missing is only the examples. If I was doing something silly in my attempt to build above (was in a rush so read the install instructions pretty quickly) I 'll give it another try. Otherwise I think I can live without ther examples, or access them online. Thanks for your response. -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
