- ### MATPLOTLIBRC FORMAT
- # This is a sample matplotlib configuration file - you can find a copy
- # of it on your system in
- # site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it
- # there, please note that it will be overridden in your next install.
- # If you want to keep a permanent local copy that will not be
- # over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
- # like systems) and C:\Documents and Settings\yourname\.matplotlib
- # (win32 systems).
- #
- # 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 or #ff00ff - 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 CocoaAgg FltkAgg
- # MacOSX QtAgg Qt4Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG Template
- # You can also deploy your own backend outside of matplotlib by
- # referring to the module name (which must be in the PYTHONPATH) as
- # 'module://my_backend'
- #backend : GTKAgg
- # if you are runing pyplot inside a GUI and your backend choice
- # conflicts, we will automatically try and find a compatible one for
- # you if backend_fallback is True
- backend_fallback: True
- #numerix : numpy # numpy, Numeric or numarray
- #maskedarray : False # True to use external maskedarray module
- # instead of numpy.ma; this is a temporary
- # setting for testing maskedarray.
- #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.linewidth : 3.0 # 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 default 6
- #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 : 2.0 # 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.size : 18.0
- #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
- ### LaTeX customizations. See http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
- #text.usetex : False # use latex for all text handling. The following fonts
- # are supported through the usual rc parameter settings:
- # new century schoolbook, bookman, times, palatino,
- # zapf chancery, charter, serif, sans-serif, helvetica,
- # avant garde, courier, monospace, computer modern roman,
- # computer modern sans serif, computer modern typewriter
- # If another font is desired which can loaded using the
- # LaTeX \usepackage command, please inquire at the
- # matplotlib mailing list
- #text.latex.unicode : False # use "ucs" and "inputenc" LaTeX packages for handling
- # unicode strings.
- #text.latex.preamble : # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES
- # AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP
- # IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
- # preamble is a comma separated list of LaTeX statements
- # that are included in the LaTeX document preamble.
- # An example:
- # text.latex.preamble : \usepackage{bm},\usepackage{euler}
- # The following packages are always loaded with usetex, so
- # beware of package collisions: color, geometry, graphicx,
- # type1cm, textcomp. Adobe Postscript (PSSNFS) font packages
- # may also be loaded, depending on your font settings
- #text.dvipnghack : None # some versions of dvipng don't handle alpha
- # channel properly. Use True to correct
- # and flush ~/.matplotlib/tex.cache
- # before testing and False to force
- # correction off. None will try and
- # guess based on your dvipng version
- #text.markup : 'plain' # Affects how text, such as titles and labels, are
- # interpreted by default.
- # 'plain': As plain, unformatted text
- # 'tex': As TeX-like text. Text between $'s will be
- # formatted as a TeX math expression.
- # This setting has no effect when text.usetex is True.
- # In that case, all text will be sent to TeX for
- # processing.
- # The following settings allow you to select the fonts in math mode.
- # They map from a TeX font name to a fontconfig font pattern.
- # These settings are only used if mathtext.fontset is 'custom'.
- # Note that this "custom" mode is unsupported and may go away in the
- # future.
- #mathtext.cal : cursive
- #mathtext.rm : serif
- #mathtext.tt : monospace
- #mathtext.it : serif:italic
- #mathtext.bf : serif:bold
- #mathtext.sf : sans
- #mathtext.fontset : cm # Should be 'cm' (Computer Modern), 'stix',
- # 'stixsans' or 'custom'
- #mathtext.fallback_to_cm : True # When True, use symbols from the Computer Modern
- # fonts when a symbol can not be found in one of
- # the custom math fonts.
- ### 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.grid : True # display grid or not
- #axes.titlesize : large # fontsize of the axes title
- #axes.labelsize : medium # 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)
- #axes.formatter.limits : -7, 7 # use scientific notation if log10
- # of the axis range is smaller than the
- # first or larger than the second
- #axes.unicode_minus : True # use unicode for the minus symbol
- # rather than hypen. See http://en.wikipedia.org/wiki/Plus_sign#Plus_sign
- axes.linewidth : 2.0 # edge linewidth
- axes.labelsize : 18 # fontsize of the x any y labels
- #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 : medium # fontsize of the tick labels
- #xtick.direction : in # direction: in or out
- xtick.labelsize: 16
- #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 : medium # fontsize of the tick labels
- #ytick.direction : in # direction: in or out
- ytick.labelsize: 16
- ### GRIDS
- #grid.color : black # grid color
- #grid.linestyle : : # dotted
- #grid.linewidth : 0.5 # in points
- ### Legend
- #legend.fancybox : False # if True, use a rounded box for the
- # legend, else a rectangle
- #legend.isaxes : True
- #legend.numpoints : 2 # the number of points in the legend line
- #legend.fontsize : large
- #legend.pad : 0.0 # deprecated; the fractional whitespace inside the legend border
- #legend.borderpad : 0.5 # border whitspace in fontsize units
- #legend.markerscale : 1.0 # the relative size of legend markers vs. original
- # the following dimensions are in axes coords
- #legend.labelspacing : 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
- legend.loc : best
- legend.fontsize : 16
- #legend.borderpad : 0.2
- ### 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
- figure.dpi : 150 # figure dots per inch
- # 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
- #image.resample : False
- ### CONTOUR PLOTS
- #contour.negative_linestyle : dashed # dashed | solid
- ### Agg rendering
- ### Warning: experimental, 2008/10/10
- #agg.path.chunksize : 0 # 0 to disable; values in the range
- # 10000 to 100000 can improve speed slightly
- # and prevent an Agg rendering failure
- # when plotting very large data sets,
- # especially if they are very gappy.
- # It may cause minor artifacts, though.
- # A value of 20000 is probably a good
- # starting point.
- ### SAVING FIGURES
- #path.simplify : False # When True, simplify paths in vector backends, such as PDF, PS and SVG
- # the default savefig params can be different from the display params
- # Eg, you may want a higher resolution, or to make the figure
- # background white
- #savefig.dpi : 100 # figure dots per inch
- savefig.dpi : 150 # figure dots per inch
- #savefig.facecolor : white # figure facecolor when saving
- #savefig.edgecolor : white # figure edgecolor when saving
- #cairo.format : png # png, ps, pdf, svg
- # 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
- #ps.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
- # pdf backend params
- #pdf.compression : 6 # integer from 0 to 9
- # 0 disables compression (good for debugging)
- #pdf.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
- # 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
- #svg.embed_char_paths : True # embed character outlines in the SVG file
- # docstring params
- #docstring.hardcopy = False # set this when you want to generate hardcopy docstring
- # Set the verbose flags. This controls how much information
- # matplotlib gives you at runtime and where it goes. The verbosity
- # levels are: silent, helpful, debug, debug-annoying. Any level is
- # inclusive of all the levels below it. If your 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 : silent # one of silent, helpful, debug, debug-annoying
- #verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr