494 lines
26 KiB
Plaintext
494 lines
26 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 overwritten 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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# overwritten, place it in the following location:
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# unix/linux:
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# $HOME/.config/matplotlib/matplotlibrc or
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# $XDG_CONFIG_HOME/matplotlib/matplotlibrc (if $XDG_CONFIG_HOME is set)
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# other platforms:
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# $HOME/.matplotlib/matplotlibrc
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#
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# See http://matplotlib.org/users/customizing.html#the-matplotlibrc-file for
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# more details on the paths which are checked for the configuration file.
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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, e.g., 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 GTK3Agg GTK3Cairo
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# CocoaAgg MacOSX Qt4Agg Qt5Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG
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# 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 : macosx
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# If you are using the Qt4Agg backend, you can choose here
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# to use the PyQt4 bindings or the newer PySide bindings to
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# the underlying Qt4 toolkit.
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#backend.qt4 : PyQt4 # PyQt4 | PySide
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# Note that this can be overridden by the environment variable
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# QT_API used by Enthought Tool Suite (ETS); valid values are
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# "pyqt" and "pyside". The "pyqt" setting has the side effect of
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# forcing the use of Version 2 API for QString and QVariant.
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# The port to use for the web server in the WebAgg backend.
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# webagg.port : 8888
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# If webagg.port is unavailable, a number of other random ports will
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# be tried until one that is available is found.
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# webagg.port_retries : 50
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# When True, open the webbrowser to the plot that is shown
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# webagg.open_in_browser : True
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# When True, the figures rendered in the nbagg backend are created with
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# a transparent background.
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# nbagg.transparent : True
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# if you are running pyplot inside a GUI and your backend choice
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# conflicts, we will automatically try to 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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#interactive : False
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#toolbar : toolbar2 # None | toolbar2 ("classic" is deprecated)
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#timezone : UTC # a pytz timezone string, e.g., 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.org/api/artist_api.html#module-matplotlib.lines 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 # has no affect on plot(); see axes.color_cycle
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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.org/api/artist_api.html#module-matplotlib.patches
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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.org/api/font_manager_api.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. When text.usetex is False,
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# font.family may also be one or more concrete font names.
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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 : sans-serif
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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 : 12.0
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#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
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#font.sans-serif : 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.org/api/artist_api.html#module-matplotlib.text 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.hinting : auto # May be one of the following:
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# 'none': Perform no hinting
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# 'auto': Use freetype's autohinter
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# 'native': Use the hinting information in the
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# font file, if available, and if your
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# freetype library supports it
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# 'either': Use the native hinting information,
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# or the autohinter if none is available.
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# For backward compatibility, this value may also be
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# True === 'auto' or False === 'none'.
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#text.hinting_factor : 8 # Specifies the amount of softness for hinting in the
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# horizontal direction. A value of 1 will hint to full
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# pixels. A value of 2 will hint to half pixels etc.
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#text.antialiased : True # If True (default), the text will be antialiased.
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# This only affects the Agg backend.
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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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#mathtext.default : it # The default font to use for math.
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# Can be any of the LaTeX font names, including
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# the special name "regular" for the same font
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# used in regular text.
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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.org/api/axes_api.html#module-matplotlib.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 : False # 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.labelweight : normal # weight of the x and y labels
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#axes.labelcolor : black
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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.formatter.use_locale : False # When True, format tick labels
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# according to the user's locale.
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# For example, use ',' as a decimal
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# separator in the fr_FR locale.
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#axes.formatter.use_mathtext : False # When True, use mathtext for scientific
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# notation.
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#axes.formatter.useoffset : True # If True, the tick label formatter
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# will default to labeling ticks relative
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# to an offset when the data range is very
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# small compared to the minimum absolute
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# value of the data.
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#axes.unicode_minus : True # use unicode for the minus symbol
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# rather than hyphen. See
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# http://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
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#axes.color_cycle : b, g, r, c, m, y, k # color cycle for plot lines
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# as list of string colorspecs:
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# single letter, long name, or
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# web-style hex
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#axes.xmargin : 0 # x margin. See `axes.Axes.margins`
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#axes.ymargin : 0 # y margin See `axes.Axes.margins`
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#polaraxes.grid : True # display grid on polar axes
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#axes3d.grid : True # display grid on 3d axes
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### TICKS
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# see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick
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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.width : 0.5 # major tick width in points
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#xtick.minor.width : 0.5 # minor tick width 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, out, or inout
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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.width : 0.5 # major tick width in points
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#ytick.minor.width : 0.5 # minor tick width 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, out, or inout
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### GRIDS
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#grid.color : black # grid color
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#grid.linestyle : : # dotted
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#grid.linewidth : 0.5 # in points
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#grid.alpha : 1.0 # transparency, between 0.0 and 1.0
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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.borderpad : 0.5 # border whitespace 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.labelspacing : 0.5 # the vertical space between the legend entries in fraction of fontsize
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#legend.handlelength : 2. # the length of the legend lines in fraction of fontsize
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#legend.handleheight : 0.7 # the height of the legend handle in fraction of fontsize
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#legend.handletextpad : 0.8 # the space between the legend line and legend text in fraction of fontsize
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#legend.borderaxespad : 0.5 # the border between the axes and legend edge in fraction of fontsize
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#legend.columnspacing : 2. # the border between the axes and legend edge in fraction of fontsize
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#legend.shadow : False
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#legend.frameon : True # whether or not to draw a frame around legend
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#legend.framealpha : None # opacity of of legend frame
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#legend.scatterpoints : 3 # number of scatter points
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### FIGURE
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# See http://matplotlib.org/api/figure_api.html#matplotlib.figure.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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#figure.autolayout : False # When True, automatically adjust subplot
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# parameters to make the plot fit the figure
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#figure.max_open_warning : 20 # The maximum number of figures to open through
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# the pyplot interface before emitting a warning.
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# If less than one this feature is disabled.
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# The figure subplot parameters. All dimensions are a 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 : True # When True, simplify paths by removing "invisible"
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# points to reduce file size and increase rendering
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# speed
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#path.simplify_threshold : 0.1 # The threshold of similarity below which
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# vertices will be removed in the simplification
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# process
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#path.snap : True # When True, rectilinear axis-aligned paths will be snapped to
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# the nearest pixel when certain criteria are met. When False,
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# paths will never be snapped.
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#path.sketch : None # May be none, or a 3-tuple of the form (scale, length,
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# randomness).
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# *scale* is the amplitude of the wiggle
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# perpendicular to the line (in pixels). *length*
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# is the length of the wiggle along the line (in
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# pixels). *randomness* is the factor by which
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# the length is randomly scaled.
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# the default savefig params can be different from the display params
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# e.g., 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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#savefig.format : png # png, ps, pdf, svg
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#savefig.bbox : standard # 'tight' or 'standard'.
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# 'tight' is incompatible with pipe-based animation
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# backends but will workd with temporary file based ones:
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# e.g. setting animation.writer to ffmpeg will not work,
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# use ffmpeg_file instead
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#savefig.pad_inches : 0.1 # Padding to be used when bbox is set to 'tight'
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#savefig.jpeg_quality: 95 # when a jpeg is saved, the default quality parameter.
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#savefig.directory : ~ # default directory in savefig dialog box,
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# leave empty to always use current working directory
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#savefig.transparent : False # setting that controls whether figures are saved with a
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# transparent background by default
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# tk backend params
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#tk.window_focus : False # Maintain shell focus for TkAgg
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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.fonttype : 'path' # How to handle SVG fonts:
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# 'none': Assume fonts are installed on the machine where the SVG will be viewed.
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# 'path': Embed characters as paths -- supported by most SVG renderers
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# 'svgfont': Embed characters as SVG fonts -- supported only by Chrome,
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# Opera and Safari
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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, e.g., --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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# Event keys to interact with figures/plots via keyboard.
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# Customize these settings according to your needs.
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# Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')
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#keymap.fullscreen : f # toggling
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#keymap.home : h, r, home # home or reset mnemonic
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#keymap.back : left, c, backspace # forward / backward keys to enable
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#keymap.forward : right, v # left handed quick navigation
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#keymap.pan : p # pan mnemonic
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#keymap.zoom : o # zoom mnemonic
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#keymap.save : s # saving current figure
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#keymap.quit : ctrl+w, cmd+w # close the current figure
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#keymap.grid : g # switching on/off a grid in current axes
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#keymap.yscale : l # toggle scaling of y-axes ('log'/'linear')
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#keymap.xscale : L, k # toggle scaling of x-axes ('log'/'linear')
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#keymap.all_axes : a # enable all axes
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# Control location of examples data files
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#examples.directory : '' # directory to look in for custom installation
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###ANIMATION settings
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#animation.writer : ffmpeg # MovieWriter 'backend' to use
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#animation.codec : mpeg4 # Codec to use for writing movie
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#animation.bitrate: -1 # Controls size/quality tradeoff for movie.
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# -1 implies let utility auto-determine
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#animation.frame_format: 'png' # Controls frame format used by temp files
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#animation.ffmpeg_path: 'ffmpeg' # Path to ffmpeg binary. Without full path
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# $PATH is searched
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#animation.ffmpeg_args: '' # Additional arguments to pass to ffmpeg
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#animation.avconv_path: 'avconv' # Path to avconv binary. Without full path
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# $PATH is searched
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#animation.avconv_args: '' # Additional arguments to pass to avconv
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#animation.mencoder_path: 'mencoder'
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# Path to mencoder binary. Without full path
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# $PATH is searched
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#animation.mencoder_args: '' # Additional arguments to pass to mencoder
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#animation.convert_path: 'convert' # Path to ImageMagick's convert binary.
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# On Windows use the full path since convert
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# is also the name of a system tool.
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