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350 lines
17 KiB
Plaintext
350 lines
17 KiB
Plaintext
### MATPLOTLIBRC FORMAT
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# This is a sample matplotlib configuration file - you can find a copy
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# of it on your system in
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# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it
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# there, please note that it will be overridden in your next install.
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# If you want to keep a permanent local copy that will not be
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# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
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# like systems) and C:\Documents and Settings\yourname\.matplotlib
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# (win32 systems).
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#
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# This file is best viewed in a editor which supports python mode
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# syntax highlighting. Blank lines, or lines starting with a comment
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# symbol, are ignored, as are trailing comments. Other lines must
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# have the format
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# key : val # optional comment
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#
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# Colors: for the color values below, you can either use - a
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# matplotlib color string, such as r, k, or b - an rgb tuple, such as
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# (1.0, 0.5, 0.0) - a hex string, such as ff00ff or #ff00ff - a scalar
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# grayscale intensity such as 0.75 - a legal html color name, eg red,
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# blue, darkslategray
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#### CONFIGURATION BEGINS HERE
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# the default backend; one of GTK GTKAgg GTKCairo CocoaAgg FltkAgg
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# MacOSX QtAgg Qt4Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG Template
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# You can also deploy your own backend outside of matplotlib by
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# referring to the module name (which must be in the PYTHONPATH) as
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# 'module://my_backend'
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backend : TkAgg
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# if you are runing pyplot inside a GUI and your backend choice
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# conflicts, we will automatically try and find a compatible one for
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# you if backend_fallback is True
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#backend_fallback: True
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#maskedarray : False # True to use external maskedarray module
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# instead of numpy.ma; this is a temporary
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# setting for testing maskedarray.
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interactive : True # see http://matplotlib.sourceforge.net/interactive.html
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#toolbar : toolbar2 # None | classic | toolbar2
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#timezone : UTC # a pytz timezone string, eg US/Central or Europe/Paris
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# Where your matplotlib data lives if you installed to a non-default
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# location. This is where the matplotlib fonts, bitmaps, etc reside
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#datapath : /home/jdhunter/mpldata
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### LINES
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# See http://matplotlib.sourceforge.net/matplotlib.lines.html for more
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# information on line properties.
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#lines.linewidth : 1.0 # line width in points
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#lines.linestyle : - # solid line
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#lines.color : blue
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#lines.marker : None # the default marker
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#lines.markeredgewidth : 0.5 # the line width around the marker symbol
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#lines.markersize : 6 # markersize, in points
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#lines.dash_joinstyle : miter # miter|round|bevel
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#lines.dash_capstyle : butt # butt|round|projecting
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#lines.solid_joinstyle : miter # miter|round|bevel
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#lines.solid_capstyle : projecting # butt|round|projecting
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#lines.antialiased : True # render lines in antialised (no jaggies)
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### PATCHES
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# Patches are graphical objects that fill 2D space, like polygons or
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# circles. See
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# http://matplotlib.sourceforge.net/matplotlib.patches.html for more
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# information on patch properties
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#patch.linewidth : 1.0 # edge width in points
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#patch.facecolor : blue
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#patch.edgecolor : black
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#patch.antialiased : True # render patches in antialised (no jaggies)
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### FONT
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#
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# font properties used by text.Text. See
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# http://matplotlib.sourceforge.net/matplotlib.font_manager.html for more
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# information on font properties. The 6 font properties used for font
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# matching are given below with their default values.
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#
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# The font.family property has five values: 'serif' (e.g. Times),
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# 'sans-serif' (e.g. Helvetica), 'cursive' (e.g. Zapf-Chancery),
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# 'fantasy' (e.g. Western), and 'monospace' (e.g. Courier). Each of
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# these font families has a default list of font names in decreasing
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# order of priority associated with them.
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#
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# The font.style property has three values: normal (or roman), italic
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# or oblique. The oblique style will be used for italic, if it is not
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# present.
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#
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# The font.variant property has two values: normal or small-caps. For
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# TrueType fonts, which are scalable fonts, small-caps is equivalent
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# to using a font size of 'smaller', or about 83% of the current font
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# size.
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#
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# The font.weight property has effectively 13 values: normal, bold,
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# bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as
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# 400, and bold is 700. bolder and lighter are relative values with
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# respect to the current weight.
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#
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# The font.stretch property has 11 values: ultra-condensed,
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# extra-condensed, condensed, semi-condensed, normal, semi-expanded,
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# expanded, extra-expanded, ultra-expanded, wider, and narrower. This
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# property is not currently implemented.
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#
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# The font.size property is the default font size for text, given in pts.
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# 12pt is the standard value.
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#
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font.family : Microsoft YaHei
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#font.style : normal
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#font.variant : normal
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#font.weight : medium
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#font.stretch : normal
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# note that font.size controls default text sizes. To configure
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# special text sizes tick labels, axes, labels, title, etc, see the rc
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# settings for axes and ticks. Special text sizes can be defined
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# relative to font.size, using the following values: xx-small, x-small,
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# small, medium, large, x-large, xx-large, larger, or smaller
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font.size : 11.0
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#font.serif : Microsoft YaHei, Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
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font.sans-serif : Microsoft YaHei, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
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#font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, cursive
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#font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy
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#font.monospace : Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
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### TEXT
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# text properties used by text.Text. See
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# http://matplotlib.sourceforge.net/matplotlib.text.html for more
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# information on text properties
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#text.color : black
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### LaTeX customizations. See http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
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#text.usetex : False # use latex for all text handling. The following fonts
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# are supported through the usual rc parameter settings:
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# new century schoolbook, bookman, times, palatino,
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# zapf chancery, charter, serif, sans-serif, helvetica,
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# avant garde, courier, monospace, computer modern roman,
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# computer modern sans serif, computer modern typewriter
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# If another font is desired which can loaded using the
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# LaTeX \usepackage command, please inquire at the
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# matplotlib mailing list
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#text.latex.unicode : False # use "ucs" and "inputenc" LaTeX packages for handling
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# unicode strings.
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#text.latex.preamble : # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES
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# AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP
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# IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
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# preamble is a comma separated list of LaTeX statements
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# that are included in the LaTeX document preamble.
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# An example:
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# text.latex.preamble : \usepackage{bm},\usepackage{euler}
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# The following packages are always loaded with usetex, so
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# beware of package collisions: color, geometry, graphicx,
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# type1cm, textcomp. Adobe Postscript (PSSNFS) font packages
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# may also be loaded, depending on your font settings
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#text.dvipnghack : None # some versions of dvipng don't handle alpha
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# channel properly. Use True to correct
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# and flush ~/.matplotlib/tex.cache
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# before testing and False to force
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# correction off. None will try and
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# guess based on your dvipng version
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#text.markup : 'plain' # Affects how text, such as titles and labels, are
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# interpreted by default.
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# 'plain': As plain, unformatted text
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# 'tex': As TeX-like text. Text between $'s will be
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# formatted as a TeX math expression.
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# This setting has no effect when text.usetex is True.
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# In that case, all text will be sent to TeX for
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# processing.
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# The following settings allow you to select the fonts in math mode.
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# They map from a TeX font name to a fontconfig font pattern.
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# These settings are only used if mathtext.fontset is 'custom'.
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# Note that this "custom" mode is unsupported and may go away in the
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# future.
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#mathtext.cal : cursive
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#mathtext.rm : serif
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#mathtext.tt : monospace
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#mathtext.it : serif:italic
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#mathtext.bf : serif:bold
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#mathtext.sf : sans
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#mathtext.fontset : cm # Should be 'cm' (Computer Modern), 'stix',
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# 'stixsans' or 'custom'
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#mathtext.fallback_to_cm : True # When True, use symbols from the Computer Modern
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# fonts when a symbol can not be found in one of
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# the custom math fonts.
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### AXES
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# default face and edge color, default tick sizes,
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# default fontsizes for ticklabels, and so on. See
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# http://matplotlib.sourceforge.net/matplotlib.axes.html#Axes
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#axes.hold : True # whether to clear the axes by default on
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#axes.facecolor : white # axes background color
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#axes.edgecolor : black # axes edge color
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#axes.linewidth : 1.0 # edge linewidth
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axes.grid : True # display grid or not
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#axes.titlesize : large # fontsize of the axes title
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#axes.labelsize : medium # fontsize of the x any y labels
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#axes.labelcolor : black
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#axes.labelcolor : white
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#axes.axisbelow : False # whether axis gridlines and ticks are below
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# the axes elements (lines, text, etc)
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#axes.formatter.limits : -7, 7 # use scientific notation if log10
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# of the axis range is smaller than the
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# first or larger than the second
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#axes.unicode_minus : True # use unicode for the minus symbol
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# rather than hypen. See http://en.wikipedia.org/wiki/Plus_sign#Plus_sign
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#polaraxes.grid : True # display grid on polar axes
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### TICKS
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# see http://matplotlib.sourceforge.net/matplotlib.axis.html#Ticks
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#xtick.major.size : 4 # major tick size in points
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#xtick.minor.size : 2 # minor tick size in points
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#xtick.major.pad : 4 # distance to major tick label in points
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#xtick.minor.pad : 4 # distance to the minor tick label in points
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#xtick.color : k # color of the tick labels
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#xtick.labelsize : medium # fontsize of the tick labels
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#xtick.direction : in # direction: in or out
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#ytick.major.size : 4 # major tick size in points
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#ytick.minor.size : 2 # minor tick size in points
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#ytick.major.pad : 4 # distance to major tick label in points
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#ytick.minor.pad : 4 # distance to the minor tick label in points
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#ytick.color : k # color of the tick labels
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#ytick.labelsize : medium # fontsize of the tick labels
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#ytick.direction : in # direction: in or out
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### GRIDS
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#grid.color : black # grid color
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grid.color: C3C3C3
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#grid.linestyle : : # dotted
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#grid.linewidth : 0.5 # in points
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### Legend
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#legend.fancybox : False # if True, use a rounded box for the
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# legend, else a rectangle
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#legend.isaxes : True
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#legend.numpoints : 2 # the number of points in the legend line
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#legend.fontsize : large
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#legend.pad : 0.0 # deprecated; the fractional whitespace inside the legend border
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#legend.borderpad : 0.5 # border whitspace in fontsize units
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#legend.markerscale : 1.0 # the relative size of legend markers vs. original
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# the following dimensions are in axes coords
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#legend.labelsep : 0.010 # the vertical space between the legend entries
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#legend.handlelen : 0.05 # the length of the legend lines
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#legend.handletextsep : 0.02 # the space between the legend line and legend text
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#legend.axespad : 0.02 # the border between the axes and legend edge
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#legend.shadow : False
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### FIGURE
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# See http://matplotlib.sourceforge.net/matplotlib.figure.html#Figure
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#figure.figsize : 8, 6 # figure size in inches
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#figure.dpi : 80 # figure dots per inch
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#figure.facecolor : 0.75 # figure facecolor; 0.75 is scalar gray
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#figure.edgecolor : white # figure edgecolor
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# The figure subplot parameters. All dimensions are fraction of the
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# figure width or height
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#figure.subplot.left : 0.125 # the left side of the subplots of the figure
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#figure.subplot.right : 0.9 # the right side of the subplots of the figure
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#figure.subplot.bottom : 0.1 # the bottom of the subplots of the figure
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#figure.subplot.top : 0.9 # the top of the subplots of the figure
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#figure.subplot.wspace : 0.2 # the amount of width reserved for blank space between subplots
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#figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots
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### IMAGES
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#image.aspect : equal # equal | auto | a number
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#image.interpolation : bilinear # see help(imshow) for options
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#image.cmap : jet # gray | jet etc...
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#image.lut : 256 # the size of the colormap lookup table
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#image.origin : upper # lower | upper
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#image.resample : False
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### CONTOUR PLOTS
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#contour.negative_linestyle : dashed # dashed | solid
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### Agg rendering
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### Warning: experimental, 2008/10/10
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#agg.path.chunksize : 0 # 0 to disable; values in the range
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# 10000 to 100000 can improve speed slightly
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# and prevent an Agg rendering failure
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# when plotting very large data sets,
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# especially if they are very gappy.
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# It may cause minor artifacts, though.
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# A value of 20000 is probably a good
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# starting point.
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### SAVING FIGURES
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#path.simplify : False # When True, simplify paths in vector backends, such as PDF, PS and SVG
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# the default savefig params can be different from the display params
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# Eg, you may want a higher resolution, or to make the figure
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# background white
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#savefig.dpi : 100 # figure dots per inch
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#savefig.facecolor : white # figure facecolor when saving
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#savefig.edgecolor : white # figure edgecolor when saving
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#cairo.format : png # png, ps, pdf, svg
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# tk backend params
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#tk.window_focus : False # Maintain shell focus for TkAgg
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#tk.pythoninspect : False # tk sets PYTHONINSEPCT
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# ps backend params
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#ps.papersize : letter # auto, letter, legal, ledger, A0-A10, B0-B10
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#ps.useafm : False # use of afm fonts, results in small files
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#ps.usedistiller : False # can be: None, ghostscript or xpdf
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# Experimental: may produce smaller files.
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# xpdf intended for production of publication quality files,
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# but requires ghostscript, xpdf and ps2eps
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#ps.distiller.res : 6000 # dpi
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#ps.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
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# pdf backend params
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#pdf.compression : 6 # integer from 0 to 9
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# 0 disables compression (good for debugging)
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#pdf.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
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# svg backend params
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#svg.image_inline : True # write raster image data directly into the svg file
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#svg.image_noscale : False # suppress scaling of raster data embedded in SVG
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#svg.embed_char_paths : True # embed character outlines in the SVG file
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# docstring params
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#docstring.hardcopy = False # set this when you want to generate hardcopy docstring
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# Set the verbose flags. This controls how much information
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# matplotlib gives you at runtime and where it goes. The verbosity
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# levels are: silent, helpful, debug, debug-annoying. Any level is
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# inclusive of all the levels below it. If your setting is "debug",
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# you'll get all the debug and helpful messages. When submitting
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# problems to the mailing-list, please set verbose to "helpful" or "debug"
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# and paste the output into your report.
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#
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# The "fileo" gives the destination for any calls to verbose.report.
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# These objects can a filename, or a filehandle like sys.stdout.
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#
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# You can override the rc default verbosity from the command line by
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# giving the flags --verbose-LEVEL where LEVEL is one of the legal
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# levels, eg --verbose-helpful.
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#
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# You can access the verbose instance in your code
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# from matplotlib import verbose.
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#verbose.level : silent # one of silent, helpful, debug, debug-annoying
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#verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr
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