[Matplotlib-users] Documentation
Hi Where can I download current mpl documentation in HTML format? Because there is now way to build it under win32 -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] best format for MS word?
I had similar problem try hi-res png images at 300dpi w/o transparency (ms cannot handle transp. png correctly). ms word shows png little blury, but after printing (to PDF for example) images are sharp as knife 2009/9/2 Shixin Zeng zeng.shi...@gmail.com: OK, I'm attaching a file that converts svg to emf, which is based on librsvg and cairo. I've spent the all night working on this, but the result is still not satisfying. The converted emf file is even worse than the png file produced from matplotlib. I'm not sure if it's because I did something wrong or it's because of the limitation of this method itself. I'm posting here in hope of some one with more knowledge would enlighten me. Thanks. To build the problem, you need to download librsvg and it's dependency from http://ftp.gnome.org/pub/gnome/binaries/win32/ Best Regards Shixin Zeng On Tue, Sep 1, 2009 at 6:43 PM, Shixin Zengzeng.shi...@gmail.com wrote: Hi, Could someone tell me what's the best format that matplotlib can produce for insertion to MS word? I'm working on a paper using MS word. I used matplotlib to produce the pictures in png' format, but my professor doesn't satisfy with the quality of the pictures, he asks me to do it in emf format, but I can't get an emf output from matplotlib. While other vector formats that are supported by matplotlib are not supported by MS word. I have worked days on producing this pictures, I don't want to abandon them just because they can't be imported to MS word. I really like to produce my pictures by using matplotlib, but I can't really throw away MS word. I also tried pstoedit to try to convert to emf from the ps, but it doesn't work on my system due to some weired missing procedure entry points in imagick dll. I'm kinda in a hurry, any help would be greatly appreciated. Best Regards Shixin Zeng -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] After update to 0.99.0 - mpl doesn't work
Hi When I try to import anything from mpl, Python's interpreter exits without any error. This happens after the 0.99.0 upgrade. This is example session: d:\python Python 2.6.2 (r262:71605, Apr 14 2009, 22:40:02) [MSC v.1500 32 bit (Intel)] on win32 Type help, copyright, credits or license for more information. import matplotlib.pyplot as plt matplotlib data path D:\msys\opt\python\lib\site-packages\matplotlib\mpl-data loaded rc file D:\msys\etc\.matplotlib\matplotlibrc matplotlib version 0.99.0 verbose.level debug-annoying interactive is False units is False platform is win32 loaded modules: ['numpy.lib._iotools', 'xml.sax.urlparse', 'distutils', 'functools', 'matplotlib.matplotlib', 'subprocess', 'gc', 'matplotlib.tempfile', 'distutils.sysconfig', 'ctypes._endian', 'encodings.encodings', 'matplotlib.colors', 'msvcrt', 'numpy.testing.sys', 'numpy.core.info', 'xml', 'numpy.fft.types', 'numpy.ma.operator', 'numpy.ma.cPickle', 'matplotlib.copy', 'numpy.random.info', 'tempfile', 'base64', 'numpy.linalg', 'matplotlib.threading', 'numpy.testing.operator', 'imp', 'numpy.testing', 'collections', 'numpy.core.umath', '_struct', 'distutils.types', 'numpy.lib.numpy', 'numpy.core.scalarmath', 'zipimport', 'string', 'matplotlib.subprocess', 'numpy.testing.os', 'matplotlib.locale', 'numpy.lib.arraysetops', 'numpy.testing.unittest', 'numpy.lib.math', 'textwrap', 'matplotlib.__future__', 'ssl', 'numpy.testing.re', 'itertools', 'numpy.version', 'numpy.lib.re', 'distutils.re', 'ctypes.os', 'numpy.core.os', 'numpy.lib.type_check', 'numpy.lib.__builtin__', 'signal', 'numpy.lib.types', 'numpy.lib._datasource', 'random', 'threading', 'token', 'numpy.fft.fftpack_lite', 'matplotlib.cbook', 'ctypes.ctypes', 'xml.sax.xmlreader', 'numpy.__builtin__', 'dis', 'distutils.version', 'cStringIO', 'numpy.ma.core', 'encodings.cp852', 'matplotlib.StringIO', 'numpy.ma.extras', 'locale', 'numpy.add_newdocs', 'numpy.lib.getlimits', 'xml.sax.saxutils', 'matplotlib.numpy', 'numpy.lib.sys', 'encodings', 'numpy.ma.itertools', 'StringIO', 'numpy.lib.io', 'abc', 'numpy.ctypes', 'numpy.testing.decorators', 'matplotlib.warnings', 'matplotlib.string', '_subprocess', 'urllib', 'matplotlib.sys', 're', 'numpy.lib._compiled_base', 'ntpath', 'numpy.random.mtrand', 'math', 'numpy.fft.helper', 'numpy.ma.warnings', 'inspect', 'numpy.ma.inspect', 'UserDict', 'numpy.lib.function_base', 'distutils.os', 'matplotlib', 'numpy.fft.numpy', 'xml.sax.codecs', 'exceptions', 'numpy.lib.info', 'numpy.core.numerictypes', 'ctypes', 'numpy.lib.warnings', 'ctypes.struct', 'codecs', 'numpy.core._sort', 'numpy.os', 'struct', '_functools', '_locale', 'matplotlib.sre_constants', 'matplotlib.os', 'thread', 'numpy.lib.ufunclike', 'numpy.core.memmap', 'traceback', 'weakref', 'numpy.core._internal', 'numpy.fft.fftpack', 'opcode', 'numpy.linalg.lapack_lite', 'distutils.sys', 'os', 'numpy.lib.itertools', '__future__', '_collections', 'xml.sax.types', 'matplotlib.traceback', '_sre', 'unittest', 'numpy.core.sys', 'numpy.random', 'numpy.linalg.numpy', '__builtin__', 'numpy.lib.twodim_base', 'matplotlib.re', 'numpy.core.cPickle', 'operator', 'numpy.core.arrayprint', 'distutils.string', 'numpy.lib.arrayterator', 'numpy.numpy', 'ctypes.sys', 'matplotlib.errno', 'numpy.lib.financial', 'numpy.core.multiarray', 'errno', '_socket', 'binascii', 'sre_constants', 'datetime', 'numpy.ma', 'xml.sax.handler', 'os.path', 'tokenize', 'numpy.lib.stride_tricks', 'numpy.core.numpy', 'numpy', '_warnings', 'matplotlib.types', 'numpy.core.defmatrix', 'xml.sax.os', 'cPickle', 'encodings.__builtin__', 'matplotlib.xml', '_codecs', 'numpy.lib.operator', 'numpy.__config__', 'matplotlib.pyparsing', 'nturl2path', 'numpy.ma.numpy', 'copy', 'numpy.core.re', 'socket', 'numpy.core.fromnumeric', 'numpy.ctypeslib', 'keyword', 'numpy.lib.scimath', 'numpy.fft', 'numpy.lib', 'numpy.random.numpy', 'encodings.aliases', 'matplotlib.distutils', 'fnmatch', 'sre_parse', 'numpy.core.ctypes', 'distutils.distutils', 'copy_reg', 'sre_compile', 'xml.sax', '_random', 'numpy.lib.__future__', 'site', 'numpy.lib.polynomial', 'encodings.cp1250', 'numpy._import_tools', '__main__', 'numpy.fft.info', 'numpy.core.records', 'shutil', 'numpy.lib.cPickle', 'numpy.sys', 'matplotlib.weakref', 'xml.sax.urllib', 'numpy.testing.traceback', 'strop', 'numpy.testing.numpytest', 'numpy.core.numeric', 'numpy.linalg.info', 'encodings.codecs', 'ctypes._ctypes', '_abcoll', 'numpy.core', 'matplotlib.rcsetup', 'matplotlib.time', 'nt', 'xml.sax._exceptions', 'genericpath', 'stat', '_ssl', 'numpy.lib.index_tricks', 'warnings', 'numpy.lib.utils', 'numpy.core.defchararray', '_ctypes', 'numpy.lib.shape_base', 'numpy.core.types', 'sys', 'numpy.core.warnings', 'numpy.core.__builtin__', 'xml.sax.sys', 'numpy.lib.format', 'numpy.lib.os', 'numpy.testing.nosetester', 'types', 'numpy.lib.shutil', 'matplotlib.datetime', 'matplotlib.fontconfig_pattern', '_weakref', 'distutils.errors', 'urlparse', 'linecache', 'matplotlib.shutil', 'numpy.lib.cStringIO', 'time',
[Matplotlib-users] ImportError: No module named _backend_gdk
Hello I don't know why, but after switching from python2.5 to python2.6 I cannot even launch matplotlib (matplotlib-0.98.5.3.win32-py2.6.exe). This is what I get: Traceback (most recent call last): File stdin, line 1, in module File D:\msys\opt\python\lib\site-packages\pylab.py, line 1, in module from matplotlib.pylab import * File D:\msys\opt\python\lib\site-packages\matplotlib\pylab.py, line 253, in module from matplotlib.pyplot import * File D:\msys\opt\python\lib\site-packages\matplotlib\pyplot.py, line 75, in module new_figure_manager, draw_if_interactive, show = pylab_setup() File D:\msys\opt\python\lib\site-packages\matplotlib\backends\__init__.py, line 25, in pylab_setup globals(),locals(),[backend_name]) File D:\msys\opt\python\lib\site-packages\matplotlib\backends\backend_gtkagg.py, line 10, in module from matplotlib.backends.backend_gtk import gtk, FigureManagerGTK, FigureCanvasGTK,\ File D:\msys\opt\python\lib\site-packages\matplotlib\backends\backend_gtk.py, line 25, in module from matplotlib.backends.backend_gdk import RendererGDK, FigureCanvasGDK File D:\msys\opt\python\lib\site-packages\matplotlib\backends\backend_gdk.py, line 29, in module from matplotlib.backends._backend_gdk import pixbuf_get_pixels_array ImportError: No module named _backend_gdk I have PyGTK installed. What can be the problem? win xp sp3 -- Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] logarithmic scale of colorbar with ticks and custom labels
Hello I have a contour plot with specified number of levels (isolines): lev = array([2,3,5,7,10,13,17,21,26,32,42,62,80,100,120,140,180]) to have a log z axis I put: from matplotlib import colors contourf(x1, y1, z1, lev, norm=colors.LogNorm(lev[0],lev[len(lev)-1])) now, to get colorbar in log scale: from matplotlib.ticker import LogLocator, LogFormatter l_f = LogFormatter(10, labelOnlyBase=False) cbar = colorbar(format = l_f) But the colorbar doesn't have all tick's labels specified in lev variable. Ticks are placed correctly on the cbar, but only every second tick has a text label (yes 2, 5, 10 ... etc). What should I do to have ALL levels on colorbar labeled? -- The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your production scanning environment may not be a perfect world - but thanks to Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700 Series Scanner you'll get full speed at 300 dpi even with all image processing features enabled. http://p.sf.net/sfu/kodak-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] logarithmic scale of colorbar with ticks and custom labels
OK works. I didn't notice the ticks arg. Thanks again Sebastian 2009/5/7 Jae-Joon Lee lee.j.j...@gmail.com: http://matplotlib.sourceforge.net/api/figure_api.html?highlight=colorbar#matplotlib.figure.Figure.colorbar cbar = colorbar(ticks=lev, format = l_f) -JJ On Wed, May 6, 2009 at 3:28 PM, Sebastian Pająk spcon...@gmail.com wrote: Hello I have a contour plot with specified number of levels (isolines): lev = array([2,3,5,7,10,13,17,21,26,32,42,62,80,100,120,140,180]) to have a log z axis I put: from matplotlib import colors contourf(x1, y1, z1, lev, norm=colors.LogNorm(lev[0],lev[len(lev)-1])) now, to get colorbar in log scale: from matplotlib.ticker import LogLocator, LogFormatter l_f = LogFormatter(10, labelOnlyBase=False) cbar = colorbar(format = l_f) But the colorbar doesn't have all tick's labels specified in lev variable. Ticks are placed correctly on the cbar, but only every second tick has a text label (yes 2, 5, 10 ... etc). What should I do to have ALL levels on colorbar labeled? -- The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your production scanning environment may not be a perfect world - but thanks to Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700 Series Scanner you'll get full speed at 300 dpi even with all image processing features enabled. http://p.sf.net/sfu/kodak-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your production scanning environment may not be a perfect world - but thanks to Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700 Series Scanner you'll get full speed at 300 dpi even with all image processing features enabled. http://p.sf.net/sfu/kodak-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] logarithmic scale of colorbar with ticks and custom labels
Hello I have a contour plot with specified number of levels (isolines): lev = array([2,3,5,7,10,13,17,21,26,32,42,62,80,100,120,140,180]) to have a log z axis I put: from matplotlib import colors contourf(x1, y1, z1, lev, norm=colors.LogNorm(lev[0],lev[len(lev)-1])) now, to get colorbar in log scale: from matplotlib.ticker import LogLocator, LogFormatter l_f = LogFormatter(10, labelOnlyBase=False) cbar = colorbar(format = l_f) But the colorbar doesn't have all tick's labels specified in lev variable. Ticks are placed correctly on the cbar, but only every second tick has a text label (yes 2, 5, 10 ... etc). What should I do to have ALL levels on colorbar labeled? -- The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your production scanning environment may not be a perfect world - but thanks to Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700 Series Scanner you'll get full speed at 300 dpi even with all image processing features enabled. http://p.sf.net/sfu/kodak-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
