#### MATPLOTLIBRC FORMAT # # This is a sample matplotlib configuration file. It should be placed # in your home dir (Linux and friends) or in the matplotlib data path, # ie, where matplotlib installs its data files (fonts, etc). On # windows, this would be, for example, C:\Python23\share\matplotlib # # By default, the installer will overwrite the existing file in the # install path, so if you want to preserve your's, please move it to # your HOME dir and set the environment variable if necessary. # # This file is best viewed in a editor which supports python mode # syntax highlighting # # Blank lines, or lines starting with a comment symbol, are ignored, # as are trailing comments. Other lines must have the format # # key : val # optional comment # # Colors: for the color values below, you can either use # - a matplotlib color string, such as r, k, or b # - an rgb tuple, such as (1.0, 0.5, 0.0) # - a hex string, such as ff00ff (no '#' symbol) # - a scalar grayscale intensity such as 0.75 #### CONFIGURATION BEGINS HERE backend : WXAgg # the default backend numerix : numarray # Numeric or numarray interactive : False # see http://matplotlib.sourceforge.net/interactive.html toolbar : toolbar2 # None | classic | toolbar2 # Where your matplotlib data lives if you installed to a non-default # location. This is where the matplotlib fonts, bitmaps, etc reside datapath : /System/Library/Frameworks/Python.framework/Versions/2.3/share/matplotlib ### LINES # See http://matplotlib.sourceforge.net/matplotlib.lines.html for more # information on line properties. Note antialiased rendering looks # better, but can be slower. If you want fast antialiased rendering, # use the Agg backend (or TkAgg, GTKAgg, WxAgg) lines.linewidth : 0.5 # line width in points lines.linestyle : - # solid line lines.color : b # blue lines.marker : None # the default marker lines.markerfacecolor : b # blue lines.markeredgecolor : k # black lines.markeredgewidth : 0.5 # the line width around the marker symbol lines.markersize : 6 # markersize, in points lines.antialiased : True # render lines in antialised (no jaggies) lines.data_clipping : False # Use data clipping in addition to viewport # clipping. Useful if you plot long data # sets with only a fraction in the viewport ### Patches # Patches are graphical objects that fill 2D space, like polygons or # circles. See # http://matplotlib.sourceforge.net/matplotlib.patches.html for more # information on patch properties patch.linewidth : 1.0 # edge width in points patch.facecolor : b patch.edgecolor : k patch.antialiased : True # render patches in antialised (no jaggies) ### FONT # # font properties used by text.Text. see # http://matplotlib.sourceforge.net/matplotlib.fonts.html for more # information on font properties. The 6 font properties used for font # matching are given below with their default values. # # The font.family property has five values: 'serif' (e.g. Times), # 'sans-serif' (e.g. Helvetica), 'cursive' (e.g. Zapf-Chancery), # 'fantasy' (e.g. Western), and 'monospace' (e.g. Courier). Each of # these font families has a default list of font names in decreasing # order of priority associated with them. # # The font.style property has three values: normal (or roman), italic # or oblique. The oblique style will be used for italic, if it is not # present. # # The font.variant property has two values: normal or small-caps. For # TrueType fonts, which are scalable fonts, small-caps is equivalent # to using a font size of 'smaller', or about 83% of the current font # size. # # The font.weight property has effectively 13 values: normal, bold, # bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as # 400, and bold is 700. bolder and lighter are relative values with # respect to the current weight. # # The font.stretch property has 11 values: ultra-condensed, # extra-condensed, condensed, semi-condensed, normal, semi-expanded, # expanded, extra-expanded, ultra-expanded, wider, and narrower. This # property is not currently implemented. # # The font.size property has 11 values: xx-small, x-small, small, # medium, large, x-large, xx-large, larger, smaller, length (such as # 12pt), and percentage. larger and smaller are relative values. # percentage is not yet implemented. # font.family : sans-serif font.style : normal font.variant : normal font.weight : medium font.stretch : normal font.size : medium font.serif : New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Bitstream Vera Serif, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif font.sans-serif : Lucida Grande, Verdana, Geneva, Lucida, Bitstream Vera Sans, Arial, Helvetica, sans-serif font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, cursive font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy font.monospace : Andale Mono, Bitstream Vera Sans Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace ### TEXT # text properties used by text.Text. See # http://matplotlib.sourceforge.net/matplotlib.Text.html for more # information on text properties text.color : k # black ### AXES # default face and edge color, default tick sizes, # default fontsizes for ticklabels, and so on axes.hold : True # whether to clear the axes by default on axes.facecolor : w # background color; white axes.edgecolor : k # edge color; black axes.linewidth : 1.0 # edge linewidth axes.grid : False # display grid or not axes.titlesize : 14 # fontsize of the axes title axes.labelsize : 12 # fontsize of the x any y labels axes.labelcolor : k # black ### TICKS tick.major.size : 4 # major tick size in points tick.minor.size : 2 # minor tick size in points tick.major.pad : 4 # distance to major tick label in points tick.minor.pad : 4 # distance to the minor tick label in points tick.color : k # color of the tick labels tick.labelsize : 10 # fontsize of the tick labels ### Grids grid.color : k # grid color grid.linestyle : : # dotted grid.linewidth : 0.5 # in points ### FIGURE figure.figsize : 8, 6 # figure size in inches figure.dpi : 80 # figure dots per inch figure.facecolor : 0.75 # figure facecolor; 0.75 is scalar gray figure.edgecolor : w # figure edgecolor; w is white ### images image.aspect : free # free | preserve image.interpolation : bilinear # see help(imshow) for options image.cmap : jet # gray | jet image.lut : 256 # the size of the colormap lookup table image.origin : upper # lower | upper ### SAVING FIGURES # the default savefig params can be different for the GUI backends. # Eg, you may want a higher resolution, or to make the figure # background white savefig.dpi : 100 # figure dots per inch savefig.facecolor : w # figure facecolor; 0.75 is scalar gray savefig.edgecolor : w # figure edgecolor; w is white tk.window_focus : False # Maintain shell focus for TkAgg