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I am trying to plot an 840 x 680 element matrix using pcolor. matplotlib has decided that the xrange should be 900 and the yrange 700. Is there a way to tell matplotlib to always use x/yranges that always match the dimensions of the matrix? Thanks, Ben
hello, When I save as an "eps" a figure created by matplotlib I face the problem that the inclined lines in the plot appear to be jagged when I open the "eps" (please see figure below). This problem doesn't appear when I save the figure as a pdf or png. Do you you know if there is a simple solution to this problem that I can implement in my example code (shown below)? I would greatly appreciate any advice. #----example code from numpy import * from pylab import * x=linspace(-1,1,100) y=x figure(1) p1,=plot(x,y,lw=3) savefig("figeps.eps") #---jagged line in plot http://old.nabble.com/file/p30465591/jagged.png -- View this message in context: http://old.nabble.com/jagged-line-in-eps-from-matplitlib-tp30465591p30465591.html Sent from the matplotlib - users mailing list archive at Nabble.com.
On Mon, Dec 13, 2010 at 9:10 PM, Xunchen Liu <xun...@gm...> wrote: > Hello, > > I'm plotting some experimental data and found my x axis variable are > displayed like 1, 2, 3, +1000. It seems depend on how you set a stopper or > something. > I'm wondering how to make it display just 1001, 1002, 1003? > > thanks! > The behavior you are seeing is called "tick offset" and is controlled by the axis tick formatter. This can be controlled in different ways, but here is one approach: import numpy as np import matplotlib.pyplot as plt x = np.arange(1000, 1010) y = np.random.random((10,)) fig = plt.figure() ax = fig.gca() ax.plot(x, y) # Get the formatter for the major ticks of the x-axis # and set the 'useOffset' attribute to False. ax.get_xaxis().get_major_formatter().set_useOffset(False) plt.show() I hope that helps! Ben Root
On Wed, Dec 15, 2010 at 9:46 AM, Benoist Laurent <be...@ib...> wrote: > Hi all, > > I'm still a bit stuck with this probleme of polar annotation. > Let me present the problem in a different way. > > I've got the center of my circle, its radius and even some points on the > circle. > Actually, I'd like to annotate these points (red crosses in the joined > picture). > How would you do that? > > My best try gave me the green numbers. > > Thanks in advance, > Ben > > > Can you include the source code (if it is simple) that you used to generate this example, and we could probably help you out. Ben Root
Hi all, I'm still a bit stuck with this probleme of polar annotation. Let me present the problem in a different way. I've got the center of my circle, its radius and even some points on the circle. Actually, I'd like to annotate these points (red crosses in the joined picture). How would you do that? My best try gave me the green numbers. Thanks in advance, Ben Le 26 nov. 10 à 14:41, Benoist Laurent a écrit : > Thank you for your answer. > I read the text and annotate manual pages. > > I don't understand how the "polar" xycoords/textcoords works. > I guess I should use this but its not clear to me. > > > > > Le 26 nov. 10 à 14:13, Alan G Isaac a écrit : > >> On 11/26/2010 8:12 AM, Benoist Laurent wrote: >>> How can I manage the annotation of points forming a circle if I have >>> their coordinates? >> >> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.annotate >> >> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.text >> >> http://matplotlib.sourceforge.net/examples/api/joinstyle.html >> >> hth, >> Alan Isaac >> >> ------------------------------------------------------------------------------ >> Increase Visibility of Your 3D Game App & Earn a Chance To Win 500ドル! >> Tap into the largest installed PC base & get more eyes on your game >> by >> optimizing for Intel(R) Graphics Technology. Get started today with >> the >> Intel(R) Software Partner Program. Five 500ドル cash prizes are up for >> grabs. >> http://p.sf.net/sfu/intelisp-dev2dev >> _______________________________________________ >> Matplotlib-users mailing list >> Mat...@li... >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > > > ------------------------------------------------------------------------------ > Increase Visibility of Your 3D Game App & Earn a Chance To Win 500ドル! > Tap into the largest installed PC base & get more eyes on your game by > optimizing for Intel(R) Graphics Technology. Get started today with > the > Intel(R) Software Partner Program. Five 500ドル cash prizes are up for > grabs. > http://p.sf.net/sfu/intelisp-dev2dev > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
On Tue, Dec 14, 2010 at 2:29 PM, vt603800 <vt6...@ba...> wrote: > I tried to upgrade to version 1.0 but without success. Could anybody tell > where it went wrong? > I downloaded the package matplotlib-1.0.0.tar.gz from > http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0/ > > First I tried a easy install, doing > easy_install -m matplotlib-1.0.0.tar.gz > from the command line but after this I checked the current version in Idle > and it still was 0.99 > > So I manually removed all the matplotlib files from /usr/lib/pymodules/ > and did the easy install again from the command line > but now I can't import matplotlib anymore in Idle. > > This was the installation report: > > install_dir /usr/local/lib/python2.6/dist-packages/ > > Processing matplotlib-1.0.0.tar.gz > > Running matplotlib-1.0.0/setup.py -q bdist_egg --dist-dir > /tmp/easy_install-dWh4_f/matplotlib-1.0.0/egg-dist-tmp-ohZvCJ > > basedirlist is: ['/usr/local', '/usr'] > > > ============================================================================ > > BUILDING MATPLOTLIB > > matplotlib: 1.0.0 > > python: 2.6.6 (r266:84292, Sep 15 2010, 16:22:56) [GCC > > 4.4.5] > > platform: linux2 > > > > REQUIRED DEPENDENCIES > > numpy: 1.3.0 > > freetype2: found, but unknown version (no pkg-config) > > * WARNING: Could not find 'freetype2' headers in > any > > * of '/usr/local/include', '/usr/include', '.', > > * '/usr/local/include/freetype2', > > * '/usr/include/freetype2', './freetype2'. > > > > OPTIONAL BACKEND DEPENDENCIES > > libpng: found, but unknown version (no pkg-config) > > * Could not find 'libpng' headers in any of > > * '/usr/local/include', '/usr/include', '.' > > Tkinter: no > > * Using default library and include directories > for > > * Tcl and Tk because a Tk window failed to open. > > * You may need to define DISPLAY for Tk to work so > > * that setup can determine where your libraries > are > > * located. Tkinter present, but header files are > not > > * found. You may need to install development > > * packages. > > wxPython: 2.8.11.0 > > * WxAgg extension not required for wxPython >= 2.8 > > pkg-config: looking for pygtk-2.0 gtk+-2.0 > > * Package pygtk-2.0 was not found in the > pkg-config > > * search path. Perhaps you should add the > directory > > * containing `pygtk-2.0.pc' to the PKG_CONFIG_PATH > > * environment variable No package 'pygtk-2.0' > found > > * Package gtk+-2.0 was not found in the pkg-config > > * search path. Perhaps you should add the > directory > > * containing `gtk+-2.0.pc' to the PKG_CONFIG_PATH > > * environment variable No package 'gtk+-2.0' found > > * You may need to install 'dev' package(s) to > > * provide header files. > > Gtk+: no > > * Could not find Gtk+ headers in any of > > * '/usr/local/include', '/usr/include', '.' > > Mac OS X native: no > > Qt: no > > Qt4: no > > Cairo: 1.8.8 > > > > OPTIONAL DATE/TIMEZONE DEPENDENCIES > > datetime: present, version unknown > > dateutil: 1.4.1 > > pytz: 2010b > > > > OPTIONAL USETEX DEPENDENCIES > > dvipng: no > > ghostscript: 8.71 > > latex: no > > pdftops: 0.14.3 > > > > [Edit setup.cfg to suppress the above messages] > > > ============================================================================ > > pymods ['pylab'] > > packages ['matplotlib', 'matplotlib.backends', > 'matplotlib.backends.qt4_editor', 'matplotlib.projections', > 'matplotlib.testing', 'matplotlib.testing.jpl_units', 'matplotlib.tests', > 'mpl_toolkits', 'mpl_toolkits.mplot3d', 'mpl_toolkits.axes_grid', > 'mpl_toolkits.axes_grid1', 'mpl_toolkits.axisartist', > 'matplotlib.sphinxext', 'matplotlib.numerix', 'matplotlib.numerix.mlab', > 'matplotlib.numerix.ma', 'matplotlib.numerix.linear_algebra', > 'matplotlib.numerix.random_array', 'matplotlib.numerix.fft', > 'matplotlib.tri', 'matplotlib.delaunay'] > > warning: no files found matching 'MANIFEST' > > warning: no files found matching 'examples/data/*' > > warning: no files found matching 'lib/mpl_toolkits' > > gcc: error trying to exec 'cc1plus': execvp: No such file or directory > > error: Setup script exited with error: command 'gcc' failed with exit > status 1 > > > Hans R > > Hans, First of all, don't do easyinstall. Follow the instructions for building here: http://matplotlib.sourceforge.net/users/installing.html#installing-from-source Be sure to note the build requirements, as they need to be installed first. Also, according to your build log, you do not have gcc installed. If gcc is not installed on your linux machine, then most likely none of the needed build tools are available on your machine. This would make building numpy and other tools from source impossible. On a Fedora system, I think all you need is the 'gcc' package. On a Debian-based system (like Ubuntu) you can make this whole dependency process easier with the following command: sudo apt-get build-depends python-matplotlib That will find (and install?) all packages that are required for building matplotlib. Be sure to first remove any previous builds of matplotlib from your system before trying this, of course. I hope that helps! Ben Root
I added a feature request. It would be awesome to just have an extra tag whether to include invisible artists. On Wed, Dec 15, 2010 at 10:36 PM, Benjamin Root <ben...@ou...> wrote: > On Wed, Dec 15, 2010 at 8:13 AM, Åke Kullenberg <ake...@gm...>wrote: > >> I am using matplotlib in a wxpython application where series are added >> dynamically to subplots in a figure. I added the very handy option to toggle >> series' visibility (by calling set_visible(False). The catch is however that >> the invisible series are included in the rescaling of the artists (Line2D >> all of them). Is there any way to fix that? The behavior I'm after is for >> rescaling to be based on visible artists only. >> >> The way I am doing the rescaling currently is simply by calling these two >> methods from the event handler: >> >> event.inaxes.relim() >> event.inaxes.autoscale_view(tight=None, scalex=False, scaley=True) >> >> > This might be a good feature request to make (if it hasn't already...): > > https://sourceforge.net/tracker/?group_id=80706 > > I would like to add one caveat, however. There are some cases where one > would want to include the bounding boxes of the invisible artist elements in > determining the axes limits. A particular use case would be animations. I > believe that matplotlib would be best served by having a simple option > available to let the user determine if they want to include invisible > artists or not. > > Ben Root > >
On Wed, Dec 15, 2010 at 8:13 AM, Åke Kullenberg <ake...@gm...>wrote: > I am using matplotlib in a wxpython application where series are added > dynamically to subplots in a figure. I added the very handy option to toggle > series' visibility (by calling set_visible(False). The catch is however that > the invisible series are included in the rescaling of the artists (Line2D > all of them). Is there any way to fix that? The behavior I'm after is for > rescaling to be based on visible artists only. > > The way I am doing the rescaling currently is simply by calling these two > methods from the event handler: > > event.inaxes.relim() > event.inaxes.autoscale_view(tight=None, scalex=False, scaley=True) > > This might be a good feature request to make (if it hasn't already...): https://sourceforge.net/tracker/?group_id=80706 I would like to add one caveat, however. There are some cases where one would want to include the bounding boxes of the invisible artist elements in determining the axes limits. A particular use case would be animations. I believe that matplotlib would be best served by having a simple option available to let the user determine if they want to include invisible artists or not. Ben Root
I have tried to install matplotlib to our IBM cluster P5(aix5) and get this error message (see below): The python script output xlC_r xlC_r (2 times) (see end of this email). Is that right? John f05n07l:matplotlib-1.0.0$ python setup.py build basedirlist is: ['/usr/local'] ============================================================================ BUILDING MATPLOTLIB matplotlib: 1.0.0 python: 2.6.3 (r263:75183, Oct 23 2009, 14:41:52) [C] platform: aix5 REQUIRED DEPENDENCIES numpy: 1.5.1rc2 freetype2: 9.22.3 OPTIONAL BACKEND DEPENDENCIES libpng: 1.2.35 Tkinter: Tkinter: 73770, Tk: 8.4, Tcl: 8.4 wxPython: no * wxPython not found Gtk+: no * Building for Gtk+ requires pygtk; you must be able * to "import gtk" in your build/install environment Mac OS X native: no Qt: no Qt4: no Cairo: no OPTIONAL DATE/TIMEZONE DEPENDENCIES datetime: present, version unknown dateutil: matplotlib will provide pytz: matplotlib will provide adding pytz OPTIONAL USETEX DEPENDENCIES dvipng: no ghostscript: 5.50 latex: no pdftops: 1.00 [Edit setup.cfg to suppress the above messages] ============================================================================ pymods ['pylab'] packages ['matplotlib', 'matplotlib.backends', 'matplotlib.backends.qt4_editor', 'matplotlib.projections', 'matplotlib.testing', 'matplotlib.testing.jpl_units', 'matplotlib.tests', 'mpl_toolkits', 'mpl_toolkits.mplot3d', 'mpl_toolkits.axes_grid', 'mpl_toolkits.axes_grid1', 'mpl_toolkits.axisartist', 'matplotlib.sphinxext', 'matplotlib.numerix', 'matplotlib.numerix.mlab', 'matplotlib.numerix.ma', 'matplotlib.numerix.linear_algebra', 'matplotlib.numerix.random_array', 'matplotlib.numerix.fft', 'matplotlib.tri', 'matplotlib.delaunay', 'pytz', 'dateutil', 'dateutil/zoneinfo'] running build running build_py copying lib/matplotlib/mpl-data/matplotlibrc -> build/lib.aix-5.3-2.6/matplotlib/mpl-data copying lib/matplotlib/mpl-data/matplotlib.conf -> build/lib.aix-5.3-2.6/matplotlib/mpl-data running build_ext building 'matplotlib.ft2font' extension xlC_r xlC_r -bI:/usr/local/python/python-2.6.3/lib/python2.6/config/python.exp build/temp.aix-5.3-2.6/src/ft2font.o build/temp.aix-5.3-2.6/src/mplutils.o build/temp.aix-5.3-2.6/CXX/cxx_extensions.o build/temp.aix-5.3-2.6/CXX/IndirectPythonInterface.o build/temp.aix-5.3-2.6/CXX/cxxsupport.o build/temp.aix-5.3-2.6/CXX/cxxextensions.o -L/opt/freeware/lib -L/usr/local/lib -lfreetype -lz -lstdc++ -lm -o build/lib.aix-5.3-2.6/matplotlib/ft2font.so /usr/vacpp/bin/xlC_r: 1501-228 (W) input file xlC_r not found error: command 'xlC_r' failed with exit status 252 M.Sc. John Floan, NTNU. IT Division, HPC E-Mail: joh...@nt... Hogskoleringen 7i Mobile: +47 918 97646 N-7034 Trondheim Norway FAX: +47 735 98098
I am using matplotlib in a wxpython application where series are added dynamically to subplots in a figure. I added the very handy option to toggle series' visibility (by calling set_visible(False). The catch is however that the invisible series are included in the rescaling of the artists (Line2D all of them). Is there any way to fix that? The behavior I'm after is for rescaling to be based on visible artists only. The way I am doing the rescaling currently is simply by calling these two methods from the event handler: event.inaxes.relim() event.inaxes.autoscale_view(tight=None, scalex=False, scaley=True)
> Skip,You can call figlegend() and build a legend for the figure, > irrespectively of any axes. Thanks. Sounds like exactly what I need. Skip
Linux 2.6.32-25-generic #45-Ubuntu SMP Sat Oct 16 19:48:22 UTC 2010 i686 GNU/Linux matplotlib 0.99.1.1 The script below is copied from http://matplotlib.sourceforge.net/examples/pylab_examples/hatch_demo.html It works. But it can not be saved as an eps file. I have a lot of histogram plots using "hatch" needed to be saved as eps, is it possible to fix this bug? Thanks. """ Hatching (pattern filled polygons) is supported currently in the PS, PDF, SVG and Agg backends only. """ import matplotlib.pyplot as plt from matplotlib.patches import Ellipse, Polygon fig = plt.figure() ax1 = fig.add_subplot(131) ax1.bar(range(1,5), range(1,5), color='red', edgecolor='black', hatch="/") ax1.bar(range(1,5), [6] * 4, bottom=range(1,5), color='blue', edgecolor='black', hatch='//') ax1.set_xticks([1.5,2.5,3.5,4.5]) ax2 = fig.add_subplot(132) bars = ax2.bar(range(1,5), range(1,5), color='yellow', ecolor='black') + \ ax2.bar(range(1, 5), [6] * 4, bottom=range(1,5), color='green', ecolor='black') ax2.set_xticks([1.5,2.5,3.5,4.5]) patterns = ('-', '+', 'x', '\\', '*', 'o', 'O', '.') for bar, pattern in zip(bars, patterns): bar.set_hatch(pattern) ax3 = fig.add_subplot(133) ax3.fill([1,3,3,1],[1,1,2,2], fill=False, hatch='\\') ax3.add_patch(Ellipse((4,1.5), 4, 0.5, fill=False, hatch='*')) ax3.add_patch(Polygon([[0,0],[4,1.1],[6,2.5],[2,1.4]], closed=True, fill=False, hatch='/')) ax3.set_xlim((0,6)) ax3.set_ylim((0,2.5)) plt.show()
Can anyone help me figure out how to identify arrow and function key events with matplotlib? I can get normal alphanumeric KeyEvents, but arrow and function keys arrive with their "key" attribute set to "None". I'm using matplotlib 0.99.1.1 with PyQt4. Thanks. - Bob Lewis
On 10/28/10 1:18 PM, Will Grover wrote: > Hello matplotlib-users, > > I'm using subplots to make an array of plots, but because some of the plots > have wider y-axis tick labels than others, some of the subplots end up > looking too close to each other. Here's an image that shows what I mean: > > http://web.mit.edu/wgrover/www/spacing.png > > I'm currently using pylab.subplots_adjust(hspace = __, vspace = __) to > adjust the subplot spacing, but since that applies to all subplots, no one > setting looks right for the entire array of plots. Is there any way to set > the spacing so that the subplots *plus tick labels* are evenly distributed? > Or can I manually specify the spacing between each subplot? Thanks, (to those more knowledgeable than me...) Is this something that ImageGrid would solve? http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axes-grid1 Also, could you use subplotpar to adjust spacing in each subplot? http://matplotlib.sourceforge.net/users/gridspec.html#adjust-gridspec-layout Thanks, Jason