### MATPLOTLIBRC FORMAT # This is a sample matplotlib configuration file. It should be placed # in HOME/.matplotlib/matplotlibrc (unix/linux like systems) and # C:\Documents and Settings\yourname\.matplotlib (win32 systems) # # 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 # - a legal html color name, eg red, blue, darkslategray #### CONFIGURATION BEGINS HERE # the default backend; one of GTK GTKAgg GTKCairo FltkAgg QtAgg TkAgg # Agg Cairo GD GDK Paint PS PDF SVG Template backend : GTKAgg numerix : numpy # numpy, Numeric or numarray #interactive : False # see http://matplotlib.sourceforge.net/interactive.html #toolbar : toolbar2 # None | classic | toolbar2 #timezone : UTC # a pytz timezone string, eg US/Central or Europe/Paris # Where your matplotlib data lives if you installed to a non-default # location. This is where the matplotlib fonts, bitmaps, etc reside #datapath : /home/jdhunter/mpldata ### LINES # See http://matplotlib.sourceforge.net/matplotlib.lines.html for more # information on line properties. #lines.linewidth : 1.0 # line width in points #lines.linestyle : - # solid line #lines.color : blue #lines.marker : None # the default marker #lines.markeredgewidth : 0.5 # the line width around the marker symbol #lines.markersize : 6 # markersize, in points #lines.dash_joinstyle : miter # miter|round|bevel #lines.dash_capstyle : butt # butt|round|projecting #lines.solid_joinstyle : miter # miter|round|bevel #lines.solid_capstyle : projecting # butt|round|projecting #lines.antialiased : True # render lines in antialised (no jaggies) ### 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 : blue #patch.edgecolor : black #patch.antialiased : True # render patches in antialised (no jaggies) ### FONT # # font properties used by text.Text. See # http://matplotlib.sourceforge.net/matplotlib.font_manager.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 is the default font size for text, given in pts. # 12pt is the standard value. # #font.family : sans-serif #font.style : normal #font.variant : normal #font.weight : medium #font.stretch : normal # note that font.size controls default text sizes. To configure # special text sizes tick labels, axes, labels, title, etc, see the rc # settings for axes and ticks. Special text sizes can be defined # relative to font.size, using the following values: xx-small, x-small, # small, medium, large, x-large, xx-large, larger, or smaller #font.size : 12.0 #font.serif : Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif #font.sans-serif : Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif #font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, cursive #font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy #font.monospace : Bitstream Vera Sans Mono, Andale 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 : black #text.usetex : False # use latex for all text handling. For more information, see # http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex #text.dvipnghack : False # some versions of dvipng don't handle # alpha channel properly. Use True to correct and flush # ~/.matplotlib/tex.cache before testing ### AXES # default face and edge color, default tick sizes, # default fontsizes for ticklabels, and so on. See # http://matplotlib.sourceforge.net/matplotlib.axes.html#Axes #axes.hold : True # whether to clear the axes by default on #axes.facecolor : white # axes background color #axes.edgecolor : black # axes edge color #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 : black #axes.axisbelow : False # whether axis gridlines and ticks are below # the axes elements (lines, text, etc) polaraxes.grid : True # display grid on polar axes ### TICKS # see http://matplotlib.sourceforge.net/matplotlib.axis.html#Ticks #xtick.major.size : 4 # major tick size in points #xtick.minor.size : 2 # minor tick size in points #xtick.major.pad : 4 # distance to major tick label in points #xtick.minor.pad : 4 # distance to the minor tick label in points #xtick.color : k # color of the tick labels #xtick.labelsize : 12 # fontsize of the tick labels #xtick.direction : in # direction: in or out #ytick.major.size : 4 # major tick size in points #ytick.minor.size : 2 # minor tick size in points #ytick.major.pad : 4 # distance to major tick label in points #ytick.minor.pad : 4 # distance to the minor tick label in points #ytick.color : k # color of the tick labels #ytick.labelsize : 12 # fontsize of the tick labels #ytick.direction : in # direction: in or out ### GRIDS #grid.color : black # grid color #grid.linestyle : : # dotted #grid.linewidth : 0.5 # in points ### Legend #legend.isaxes : True #legend.numpoints : 2 # the number of points in the legend line #legend.fontsize : 14 #legend.pad : 0.2 # the fractional whitespace inside the legend border #legend.markerscale : 1.0 # the relative size of legend markers vs. original # the following dimensions are in axes coords #legend.labelsep : 0.010 # the vertical space between the legend entries #legend.handlelen : 0.05 # the length of the legend lines #legend.handletextsep : 0.02 # the space between the legend line and legend text #legend.axespad : 0.02 # the border between the axes and legend edge #legend.shadow : False ### FIGURE # See http://matplotlib.sourceforge.net/matplotlib.figure.html#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 : white # figure edgecolor # The figure subplot parameters. All dimensions are fraction of the # figure width or height #figure.subplot.left : 0.125 # the left side of the subplots of the figure #figure.subplot.right : 0.9 # the right side of the subplots of the figure #figure.subplot.bottom : 0.1 # the bottom of the subplots of the figure #figure.subplot.top : 0.9 # the top of the subplots of the figure #figure.subplot.wspace : 0.2 # the amount of width reserved for blank space between subplots #figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots ### IMAGES #image.aspect : equal # equal | auto | a number #image.interpolation : bilinear # see help(imshow) for options #image.cmap : jet # gray | jet etc... #image.lut : 256 # the size of the colormap lookup table #image.origin : upper # lower | upper ### CONTOUR PLOTS #contour.negative_linestyle : 6.0, 6.0 # negative contour dashstyle (size in points) ### 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 : white # figure facecolor when saving #savefig.edgecolor : white # figure edgecolor when saving # tk backend params #tk.window_focus : False # Maintain shell focus for TkAgg #tk.pythoninspect : False # tk sets PYTHONINSEPCT # ps backend params #ps.papersize : letter # auto, letter, legal, ledger, A0-A10, B0-B10 #ps.useafm : False # use of afm fonts, results in small files #ps.usedistiller : False # can be: None, ghostscript or xpdf # Experimental: may produce smaller files. # xpdf intended for production of publication quality files, # but requires ghostscript, xpdf and ps2eps #ps.distiller.res : 6000 # dpi # pdf backend params #pdf.compression : 6 # integer from 0 to 9 # 0 disables compression (good for debugging) # svg backend params #svg.image_inline : True # write raster image data directly into the svg file #svg.image_noscale : False # suppress scaling of raster data embedded in SVG # Set the verbose flags. This controls how much information # matplotlib gives you at runtime and where it goes. Ther verbosity # levels are: silent, helpful, debug, debug-annoying. Any level is # inclusive of all the levels below it. If you setting is debug, # you'll get all the debug and helpful messages. When submitting # problems to the mailing-list, please set verbose to helpful or debug # and paste the output into your report. # # The fileo gives the destination for any calls to verbose.report. # These objects can a filename, or a filehandle like sys.stdout. # # You can override the rc default verbosity from the command line by # giving the flags --verbose-LEVEL where LEVEL is one of the legal # levels, eg --verbose-helpful. # # You can access the verbose instance in your code # from matplotlib import verbose. verbose.level : debug-annoying # one of silent, helpful, debug, debug-annoying #verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr