[Matplotlib-users] Missing files on the web documentation
Hi, The documentation presented on http://matplotlib.sourceforge.net/examples is a very good source of information but on some pages it doesn't give all the data needed to have the example running. Indeed, some example needs external files and they are not given in the web documentation, for example : http://matplotlib.sourceforge.net/examples/user_interfaces/mpl_with_glade.html needs mpl_with_glade.glade http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_wx3.html needs ../data/embedding_in_wx3.xrc I thing there should be some links on the web pages to download theses files. At least, it should be said in the docstring where to find them, don't you think ? -- LB -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] ImportError when import pylab
hi list, I'm new to matplotlib. My environment is WinXP, PythonWin 2.6.2, NumPy 1.3.0, matplotlib 0.98.5.3. import matplotlib.pylab as pylab Traceback (most recent call last): File interactive input, line 1, in module File D:\Python26\lib\site-packages\matplotlib\pylab.py, line 253, in module from matplotlib.pyplot import * File D:\Python26\lib\site-packages\matplotlib\pyplot.py, line 75, in module new_figure_manager, draw_if_interactive, show = pylab_setup() File D:\Python26\lib\site-packages\matplotlib\backends\__init__.py, line 25, in pylab_setup globals(),locals(),[backend_name]) File D:\Python26\lib\site-packages\matplotlib\backends\backend_tkagg.py, line 8, in module import tkagg # Paint image to Tk photo blitter extension File D:\Python26\lib\site-packages\matplotlib\backends\tkagg.py, line 1, in module import _tkagg ImportError: DLL load failed: cannot find the module I searched the web and it's said because of lack of msvcp71.dll, but there is already on in my C:\windows\system32\ anyone can help? Thanks. -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Missing files on the web documentation
On Sat, Jun 27, 2009 at 1:44 AM, LBbravo.l...@gmail.com wrote: I thing there should be some links on the web pages to download theses files. At least, it should be said in the docstring where to find them, don't you think ? It would be a good idea -- but for now you can grab the source distribution *.tar.gz from the download page and look in the examples subdirectory. All the code, data and support files are there (the web examples are automatically built from this directory). If you are on a linux/unix box or any box that has an svn client, the easiest way is to just check out:: svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib matplotlib cd mpl/examples or if you just want the examples rather than the whole source tree:: svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/matplotlib/examples mpl_examples but I suggest getting the source because some of the examples only run on svn and you may want to install from svn to use them http://matplotlib.sourceforge.net/faq/installing_faq.html#install-from-svn JDH -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Stopping Legend From Overlapping the Graph
Thanks. Is that some sort of blending edge feature? I just installed 0.98.5.3, but the sample code gives me the error: TypeError: __init__() got an unexpected keyword argument 'bbox_to_anchor' On Thu, Jun 25, 2009 at 10:20 PM, Jae-Joon Leelee.j.j...@gmail.com wrote: The linked page below shows how you put the legend above the graph. http://matplotlib.sourceforge.net/users/plotting/legend.html#legend-location You can put it below the axes by adjusting the bbox_to_anchor parameter. Try something like bbox_to_anchor=(0., -0.1, 1., -0.1), loc=1 Make sure to adjust the suplot parameter (or axes location) to make enough room for the legend. -JJ On Thu, Jun 25, 2009 at 9:22 PM, Chris Spencerchriss...@gmail.com wrote: How do you show the legend below the graph, so it doesn't overlap at all with the graph? The docs for the legend() loc parameter only seem to specify where *on* the graph you want it to show, which is driving me nuts because even using best, it usually hides some of my data. I want to see *all* of my graph, as well as the legend. Is there any way to do this with pylab? Any help is appreciated. Chris -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] savefig as pdf not generating vector graphics?
hi all,
i am using matplotlib 0.98.5.2 on Mac OS X. i am plotting a histogram and
then saving it as .pdf. The x and y labels use some symbols from latex, and
i have useTex set to true in my rcParams. The code is:
import matplotlib.pyplot as plt
my_fig = plt.figure(figsize=(5,5)), dpi=100)
plt.hist(rand(100), 10)
plt.xlabel(r\alpha)
plt.ylabel(r\beta\kappa)
plt.savefig('myfig.pdf')
The problem is that myfig.pdf for some reason renders the figure's x and y
labels as *images* rather than vector graphics. Strangely, the labels of the
units on the x and y axes are rendered as vector fonts correctly as they
should -- it is only the x and y labels that somehow are wrongly generated
as images.
how can i make it so everything is generated as a vector graphic in this
pdf?
thanks very much.
i am attaching my rcParams settings below in case it helps:
{'agg.path.chunksize': 0,
'axes.axisbelow': False,
'axes.edgecolor': 'k',
'axes.facecolor': 'w',
'axes.formatter.limits': [-7, 7],
'axes.grid': False,
'axes.hold': True,
'axes.labelcolor': 'k',
'axes.labelsize': 'medium',
'axes.linewidth': 1.0,
'axes.titlesize': 'large',
'axes.unicode_minus': True,
'backend': 'MacOSX',
'backend_fallback': True,
'cairo.format': 'png',
'contour.negative_linestyle': 'dashed',
'datapath': '/Library/Python/2.5/site-packages/matplotlib/mpl-data',
'docstring.hardcopy': False,
'figure.autolayout': False,
'figure.dpi': 80,
'figure.edgecolor': 'w',
'figure.facecolor': '0.75',
'figure.figsize': [8.0, 6.0],
'figure.subplot.bottom': 0.10001,
'figure.subplot.hspace': 0.20001,
'figure.subplot.left': 0.125,
'figure.subplot.right': 0.90002,
'figure.subplot.top': 0.90002,
'figure.subplot.wspace': 0.20001,
'font.cursive': ['Apple Chancery',
'Textile',
'Zapf Chancery',
'Sand',
'cursive'],
'font.family': 'sans-serif',
'font.fantasy': ['Comic Sans MS',
'Chicago',
'Charcoal',
'ImpactWestern',
'fantasy'],
'font.monospace': ['Bitstream Vera Sans Mono',
'DejaVu Sans Mono',
'Andale Mono',
'Nimbus Mono L',
'Courier New',
'Courier',
'Fixed',
'Terminal',
'monospace'],
'font.sans-serif': ['Helvetica'],
'font.serif': ['Bitstream Vera Serif',
'DejaVu Serif',
'New Century Schoolbook',
'Century Schoolbook L',
'Utopia',
'ITC Bookman',
'Bookman',
'Nimbus Roman No9 L',
'Times New Roman',
'Times',
'Palatino',
'Charter',
'serif'],
'font.size': 12.0,
'font.stretch': 'normal',
'font.style': 'normal',
'font.variant': 'normal',
'font.weight': 'normal',
'grid.color': 'k',
'grid.linestyle': ':',
'grid.linewidth': 0.5,
'image.aspect': 'equal',
'image.cmap': 'jet',
'image.interpolation': 'bilinear',
'image.lut': 256,
'image.origin': 'upper',
'image.resample': False,
'interactive': False,
'legend.axespad': 0.5,
'legend.borderaxespad': 0.5,
'legend.borderpad': 0.40002,
'legend.columnspacing': 2.0,
'legend.fancybox': False,
'legend.fontsize': 'large',
'legend.handlelen': 0.050003,
'legend.handlelength': 2.0,
'legend.handletextpad': 0.80004,
'legend.handletextsep': 0.02,
'legend.isaxes': True,
'legend.labelsep': 0.01,
'legend.labelspacing': 0.5,
'legend.loc': 'upper right',
'legend.markerscale': 1.0,
'legend.numpoints': 2,
'legend.pad': 0,
'legend.shadow': False,
'lines.antialiased': True,
'lines.color': 'b',
'lines.dash_capstyle': 'butt',
'lines.dash_joinstyle': 'miter',
'lines.linestyle': '-',
'lines.linewidth': 1.0,
'lines.marker': 'None',
'lines.markeredgewidth': 0.5,
'lines.markersize': 6,
'lines.solid_capstyle': 'projecting',
'lines.solid_joinstyle': 'miter',
'maskedarray': False,
'mathtext.bf': 'serif:bold',
'mathtext.cal': 'cursive',
'mathtext.fallback_to_cm': True,
'mathtext.fontset': 'cm',
'mathtext.it': 'serif:italic',
'mathtext.rm': 'serif',
'mathtext.sf': 'sans\\-serif',
'mathtext.tt': 'monospace',
'numerix': 'numpy',
'patch.antialiased': True,
'patch.edgecolor': 'k',
'patch.facecolor': 'b',
'patch.linewidth': 1.0,
'path.simplify': False,
'pdf.compression': 6,
'pdf.fonttype': 3,
'pdf.inheritcolor': False,
'pdf.use14corefonts': False,
'plugins.directory': '.matplotlib_plugins',
'polaraxes.grid': True,
'ps.distiller.res': 6000,
'ps.fonttype': 3,
'ps.papersize': 'letter',
'ps.useafm': False,
'ps.usedistiller': False,
'savefig.dpi': 100,
'savefig.edgecolor': 'w',
'savefig.facecolor': 'w',
'savefig.orientation': 'portrait',
'svg.embed_char_paths': True,
'svg.image_inline': True,
Re: [Matplotlib-users] Stopping Legend From Overlapping the Graph
sorry. As guillaume has mentioned, you need to install mpl from svn. Here is some workaround you can try. I guess it would work with 0.98.5.3. Basically, you create a separate axes for a legend. ax1 = axes([0.1, 0.2,0.8, 0.7]) p1, = ax1.plot([1,2,3]) p2, = ax1.plot([3,2,1]) ax2 = axes([0.1, 0.1, 0.8, 0.01], frameon=False) ax2.xaxis.set_visible(False) ax2.yaxis.set_visible(False) l = ax2.legend([p1, p2], [Legend1, Legend2], mode=expand, ncol=2, borderaxespad=0.) -JJ On Sat, Jun 27, 2009 at 6:00 PM, Chris Spencerchriss...@gmail.com wrote: Thanks. Is that some sort of blending edge feature? I just installed 0.98.5.3, but the sample code gives me the error: TypeError: __init__() got an unexpected keyword argument 'bbox_to_anchor' On Thu, Jun 25, 2009 at 10:20 PM, Jae-Joon Leelee.j.j...@gmail.com wrote: The linked page below shows how you put the legend above the graph. http://matplotlib.sourceforge.net/users/plotting/legend.html#legend-location You can put it below the axes by adjusting the bbox_to_anchor parameter. Try something like  bbox_to_anchor=(0., -0.1, 1., -0.1), loc=1 Make sure to adjust the suplot parameter (or axes location) to make enough room for the legend. -JJ On Thu, Jun 25, 2009 at 9:22 PM, Chris Spencerchriss...@gmail.com wrote: How do you show the legend below the graph, so it doesn't overlap at all with the graph? The docs for the legend() loc parameter only seem to specify where *on* the graph you want it to show, which is driving me nuts because even using best, it usually hides some of my data. I want to see *all* of my graph, as well as the legend. Is there any way to do this with pylab? Any help is appreciated. Chris -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
