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757 lines
39 KiB
Plaintext
757 lines
39 KiB
Plaintext
#### MATPLOTLIBRC FORMAT
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## NOTE FOR END USERS: DO NOT EDIT THIS FILE!
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##
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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 site-packages/matplotlib/mpl-data/matplotlibrc
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## (which related to your Python installation location).
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##
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## You should find a copy of it on your system at
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## site-packages/matplotlib/mpl-data/matplotlibrc (relative to your Python
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## installation location). DO NOT EDIT IT!
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##
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## If you wish to change your default style, copy this file to one of the
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## following locations
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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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## and edit that copy.
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##
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## See https://matplotlib.org/users/customizing.html#the-matplotlibrc-file
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## for more details on the paths which are checked for the configuration file.
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##
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## Blank lines, or lines starting with a comment symbol, are ignored, as are
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## trailing comments. Other lines must have the format:
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## key: val # optional comment
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##
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## Formatting: Use PEP8-like style (as enforced in the rest of the codebase).
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## All lines start with an additional '#', so that removing all leading '#'s
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## yields a valid style file.
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##
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## Colors: for the color values below, you can either use
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## - a matplotlib color string, such as r, k, or b
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## - an rgb tuple, such as (1.0, 0.5, 0.0)
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## - a hex string, such as ff00ff
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## - a scalar grayscale intensity such as 0.75
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## - a legal html color name, e.g., red, blue, darkslategray
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##
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## Matplotlib configuration are currently divided into following parts:
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## - BACKENDS
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## - LINES
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## - PATCHES
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## - HATCHES
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## - BOXPLOT
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## - FONT
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## - TEXT
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## - LaTeX
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## - AXES
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## - DATES
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## - TICKS
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## - GRIDS
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## - LEGEND
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## - FIGURE
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## - IMAGES
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## - CONTOUR PLOTS
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## - ERRORBAR PLOTS
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## - HISTOGRAM PLOTS
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## - SCATTER PLOTS
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## - AGG RENDERING
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## - PATHS
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## - SAVING FIGURES
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## - INTERACTIVE KEYMAPS
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## - ANIMATION
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##### CONFIGURATION BEGINS HERE
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## ***************************************************************************
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## * BACKENDS *
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## ***************************************************************************
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## The default backend. If you omit this parameter, the first working
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## backend from the following list is used:
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## MacOSX Qt5Agg Gtk3Agg TkAgg WxAgg Agg
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## Other choices include:
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## Qt5Cairo GTK3Cairo TkCairo WxCairo Cairo
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## Qt4Agg Qt4Cairo Wx # deprecated.
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## PS PDF SVG Template
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## You can also deploy your own backend outside of matplotlib by referring to
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## the module name (which must be in the PYTHONPATH) as 'module://my_backend'.
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backend: TkAgg
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## The port to use for the web server in the WebAgg backend.
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#webagg.port: 8988
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## The address on which the WebAgg web server should be reachable
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#webagg.address: 127.0.0.1
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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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## 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, toolmanager}
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#timezone: UTC # a pytz timezone string, e.g., US/Central or Europe/Paris
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## ***************************************************************************
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## * LINES *
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## ***************************************************************************
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## See https://matplotlib.org/api/artist_api.html#module-matplotlib.lines
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## for more information on line properties.
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#lines.linewidth: 1.5 # line width in points
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#lines.linestyle: - # solid line
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#lines.color: C0 # has no affect on plot(); see axes.prop_cycle
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#lines.marker: None # the default marker
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#lines.markerfacecolor: auto # the default marker face color
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#lines.markeredgecolor: auto # the default marker edge color
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#lines.markeredgewidth: 1.0 # the line width around the marker symbol
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#lines.markersize: 6 # marker size, in points
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#lines.dash_joinstyle: round # {miter, round, bevel}
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#lines.dash_capstyle: butt # {butt, round, projecting}
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#lines.solid_joinstyle: round # {miter, round, bevel}
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#lines.solid_capstyle: projecting # {butt, round, projecting}
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#lines.antialiased: True # render lines in antialiased (no jaggies)
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## The three standard dash patterns. These are scaled by the linewidth.
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#lines.dashed_pattern: 3.7, 1.6
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#lines.dashdot_pattern: 6.4, 1.6, 1, 1.6
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#lines.dotted_pattern: 1, 1.65
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#lines.scale_dashes: True
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#markers.fillstyle: full # {full, left, right, bottom, top, none}
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#pcolor.shading : flat
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## ***************************************************************************
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## * PATCHES *
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## ***************************************************************************
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## Patches are graphical objects that fill 2D space, like polygons or circles.
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## See https://matplotlib.org/api/artist_api.html#module-matplotlib.patches
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## for more information on patch properties.
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#patch.linewidth: 1 # edge width in points.
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#patch.facecolor: C0
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#patch.edgecolor: black # if forced, or patch is not filled
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#patch.force_edgecolor: False # True to always use edgecolor
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#patch.antialiased: True # render patches in antialiased (no jaggies)
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## ***************************************************************************
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## * HATCHES *
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## ***************************************************************************
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#hatch.color: black
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#hatch.linewidth: 1.0
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## ***************************************************************************
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## * BOXPLOT *
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## ***************************************************************************
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#boxplot.notch: False
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#boxplot.vertical: True
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#boxplot.whiskers: 1.5
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#boxplot.bootstrap: None
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#boxplot.patchartist: False
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#boxplot.showmeans: False
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#boxplot.showcaps: True
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#boxplot.showbox: True
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#boxplot.showfliers: True
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#boxplot.meanline: False
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#boxplot.flierprops.color: black
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#boxplot.flierprops.marker: o
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#boxplot.flierprops.markerfacecolor: none
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#boxplot.flierprops.markeredgecolor: black
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#boxplot.flierprops.markeredgewidth: 1.0
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#boxplot.flierprops.markersize: 6
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#boxplot.flierprops.linestyle: none
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#boxplot.flierprops.linewidth: 1.0
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#boxplot.boxprops.color: black
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#boxplot.boxprops.linewidth: 1.0
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#boxplot.boxprops.linestyle: -
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#boxplot.whiskerprops.color: black
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#boxplot.whiskerprops.linewidth: 1.0
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#boxplot.whiskerprops.linestyle: -
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#boxplot.capprops.color: black
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#boxplot.capprops.linewidth: 1.0
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#boxplot.capprops.linestyle: -
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#boxplot.medianprops.color: C1
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#boxplot.medianprops.linewidth: 1.0
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#boxplot.medianprops.linestyle: -
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#boxplot.meanprops.color: C2
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#boxplot.meanprops.marker: ^
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#boxplot.meanprops.markerfacecolor: C2
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#boxplot.meanprops.markeredgecolor: C2
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#boxplot.meanprops.markersize: 6
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#boxplot.meanprops.linestyle: --
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#boxplot.meanprops.linewidth: 1.0
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## ***************************************************************************
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## * FONT *
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## ***************************************************************************
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## The font properties used by `text.Text`.
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## See https://matplotlib.org/api/font_manager_api.html for more information
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## on font properties. The 6 font properties used for font matching are
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## given below with their default values.
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##
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## The font.family property has five values:
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## - 'serif' (e.g., Times),
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## - 'sans-serif' (e.g., Helvetica),
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## - 'cursive' (e.g., Zapf-Chancery),
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## - 'fantasy' (e.g., Western), and
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## - 'monospace' (e.g., Courier).
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## Each of 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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## 10 pt is the standard value.
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##
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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.family: sans-serif
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#font.style: normal
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#font.variant: normal
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#font.weight: normal
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#font.stretch: normal
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#font.size: 10.0
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#font.serif: DejaVu Serif, Bitstream Vera Serif, Computer Modern Roman, 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: DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
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#font.cursive: Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive
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#font.fantasy: Comic Neue, Comic Sans MS, Chicago, Charcoal, ImpactWestern, Humor Sans, xkcd, fantasy
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#font.monospace: DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
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## ***************************************************************************
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## * TEXT *
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## ***************************************************************************
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## The text properties used by `text.Text`.
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## See https://matplotlib.org/api/artist_api.html#module-matplotlib.text
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## for more information on text properties
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#text.color: black
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## ***************************************************************************
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## * LaTeX *
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## ***************************************************************************
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## For more information on LaTex properties, see
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## https://matplotlib.org/tutorials/text/usetex.html
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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.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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# text.latex.preamble is a single line of LaTeX code that
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# will be passed on to the LaTeX system. It may contain
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# any code that is valid for the LaTeX "preamble", i.e.
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# between the "\documentclass" and "\begin{document}"
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# statements.
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# Note that it has to be put on a single line, which may
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# become quite long.
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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.
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# Adobe Postscript (PSSNFS) font packages may also be
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# loaded, depending on your font settings.
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## FreeType hinting flag ("foo" corresponds to FT_LOAD_FOO); may be one of the
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## following (Proprietary Matplotlib-specific synonyms are given in parentheses,
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## but their use is discouraged):
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## - default: Use the font's native hinter if possible, else FreeType's auto-hinter.
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## ("either" is a synonym).
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## - no_autohint: Use the font's native hinter if possible, else don't hint.
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## ("native" is a synonym.)
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## - force_autohint: Use FreeType's auto-hinter. ("auto" is a synonym.)
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## - no_hinting: Disable hinting. ("none" is a synonym.)
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#text.hinting: force_autohint
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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.kerning_factor : 0 # Specifies the scaling factor for kerning values. This
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# is provided solely to allow old test images to remain
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# unchanged. Set to 6 to obtain previous behavior. Values
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# other than 0 or 6 have no defined meaning.
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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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#mathtext.fontset: dejavusans # Should be 'dejavusans' (default),
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# 'dejavuserif', 'cm' (Computer Modern), 'stix',
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# 'stixsans' or 'custom' (unsupported, may go
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# away in the future)
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## "mathtext.fontset: custom" is defined by the mathtext.bf, .cal, .it, ...
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## settings which map a TeX font name to a fontconfig font pattern. (These
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## settings are not used for other font sets.)
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#mathtext.bf: sans:bold
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#mathtext.cal: cursive
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#mathtext.it: sans:italic
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#mathtext.rm: sans
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#mathtext.sf: sans
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#mathtext.tt: monospace
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#mathtext.fallback: cm # Select fallback font from ['cm' (Computer Modern), 'stix'
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# 'stixsans'] when a symbol can not be found in one of the
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# custom math fonts. Select 'None' to not perform fallback
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# and replace the missing character by a dummy symbol.
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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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## ***************************************************************************
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## * AXES *
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## ***************************************************************************
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## Following are default face and edge colors, default tick sizes,
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## default fontsizes for ticklabels, and so on. See
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## https://matplotlib.org/api/axes_api.html#module-matplotlib.axes
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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: 0.8 # edge linewidth
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#axes.grid: False # display grid or not
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#axes.grid.axis: both # which axis the grid should apply to
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#axes.grid.which: major # gridlines at {major, minor, both} ticks
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#axes.titlelocation: center # alignment of the title: {left, right, center}
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#axes.titlesize: large # fontsize of the axes title
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#axes.titleweight: normal # font weight of title
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#axes.titlecolor: auto # color of the axes title, auto falls back to
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# text.color as default value
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#axes.titley: None # position title (axes relative units). None implies auto
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#axes.titlepad: 6.0 # pad between axes and title in points
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#axes.labelsize: medium # fontsize of the x any y labels
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#axes.labelpad: 4.0 # space between label and axis
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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: line # draw axis gridlines and ticks:
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# - below patches (True)
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# - above patches but below lines ('line')
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# - above all (False)
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#axes.formatter.limits: -5, 6 # 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.min_exponent: 0 # minimum exponent to format in scientific 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
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# small compared to the minimum absolute
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# value of the data.
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#axes.formatter.offset_threshold: 4 # When useoffset is True, the offset
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# will be used when it can remove
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# at least this number of significant
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# digits from tick labels.
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#axes.spines.left: True # display axis spines
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#axes.spines.bottom: True
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#axes.spines.top: True
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#axes.spines.right: True
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#axes.unicode_minus: True # use Unicode for the minus symbol rather than hyphen. See
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# https://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
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#axes.prop_cycle: cycler('color', ['1f77b4', 'ff7f0e', '2ca02c', 'd62728', '9467bd', '8c564b', 'e377c2', '7f7f7f', 'bcbd22', '17becf'])
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# color cycle for plot lines as list of string colorspecs:
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# single letter, long name, or web-style hex
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# As opposed to all other paramters in this file, the color
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# values must be enclosed in quotes for this parameter,
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# e.g. '1f77b4', instead of 1f77b4.
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# See also https://matplotlib.org/tutorials/intermediate/color_cycle.html
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# for more details on prop_cycle usage.
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#axes.autolimit_mode: data # How to scale axes limits to the data. By using:
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# - "data" to use data limits, plus some margin
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# - "round_numbers" move to the nearest "round" number
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#axes.xmargin: .05 # x margin. See `axes.Axes.margins`
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#axes.ymargin: .05 # 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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## ***************************************************************************
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## * AXIS *
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## ***************************************************************************
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#xaxis.labellocation: center # alignment of the xaxis label: {left, right, center}
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#yaxis.labellocation: center # alignment of the yaxis label: {bottom, top, center}
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## ***************************************************************************
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## * DATES *
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## ***************************************************************************
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## These control the default format strings used in AutoDateFormatter.
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## Any valid format datetime format string can be used (see the python
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## `datetime` for details). For example, by using:
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## - '%%x' will use the locale date representation
|
|
## - '%%X' will use the locale time representation
|
|
## - '%%c' will use the full locale datetime representation
|
|
## These values map to the scales:
|
|
## {'year': 365, 'month': 30, 'day': 1, 'hour': 1/24, 'minute': 1 / (24 * 60)}
|
|
|
|
#date.autoformatter.year: %Y
|
|
#date.autoformatter.month: %Y-%m
|
|
#date.autoformatter.day: %Y-%m-%d
|
|
#date.autoformatter.hour: %m-%d %H
|
|
#date.autoformatter.minute: %d %H:%M
|
|
#date.autoformatter.second: %H:%M:%S
|
|
#date.autoformatter.microsecond: %M:%S.%f
|
|
|
|
## The reference date for Matplotlib's internal date representation
|
|
## See https://matplotlib.org/examples/ticks_and_spines/date_precision_and_epochs.py
|
|
#date.epoch: 1970-01-01T00:00:00
|
|
|
|
## ***************************************************************************
|
|
## * TICKS *
|
|
## ***************************************************************************
|
|
## See https://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick
|
|
#xtick.top: False # draw ticks on the top side
|
|
#xtick.bottom: True # draw ticks on the bottom side
|
|
#xtick.labeltop: False # draw label on the top
|
|
#xtick.labelbottom: True # draw label on the bottom
|
|
#xtick.major.size: 3.5 # major tick size in points
|
|
#xtick.minor.size: 2 # minor tick size in points
|
|
#xtick.major.width: 0.8 # major tick width in points
|
|
#xtick.minor.width: 0.6 # minor tick width in points
|
|
#xtick.major.pad: 3.5 # distance to major tick label in points
|
|
#xtick.minor.pad: 3.4 # distance to the minor tick label in points
|
|
#xtick.color: black # color of the tick labels
|
|
#xtick.labelsize: medium # fontsize of the tick labels
|
|
#xtick.direction: out # direction: {in, out, inout}
|
|
#xtick.minor.visible: False # visibility of minor ticks on x-axis
|
|
#xtick.major.top: True # draw x axis top major ticks
|
|
#xtick.major.bottom: True # draw x axis bottom major ticks
|
|
#xtick.minor.top: True # draw x axis top minor ticks
|
|
#xtick.minor.bottom: True # draw x axis bottom minor ticks
|
|
#xtick.alignment: center # alignment of xticks
|
|
|
|
#ytick.left: True # draw ticks on the left side
|
|
#ytick.right: False # draw ticks on the right side
|
|
#ytick.labelleft: True # draw tick labels on the left side
|
|
#ytick.labelright: False # draw tick labels on the right side
|
|
#ytick.major.size: 3.5 # major tick size in points
|
|
#ytick.minor.size: 2 # minor tick size in points
|
|
#ytick.major.width: 0.8 # major tick width in points
|
|
#ytick.minor.width: 0.6 # minor tick width in points
|
|
#ytick.major.pad: 3.5 # distance to major tick label in points
|
|
#ytick.minor.pad: 3.4 # distance to the minor tick label in points
|
|
#ytick.color: black # color of the tick labels
|
|
#ytick.labelsize: medium # fontsize of the tick labels
|
|
#ytick.direction: out # direction: {in, out, inout}
|
|
#ytick.minor.visible: False # visibility of minor ticks on y-axis
|
|
#ytick.major.left: True # draw y axis left major ticks
|
|
#ytick.major.right: True # draw y axis right major ticks
|
|
#ytick.minor.left: True # draw y axis left minor ticks
|
|
#ytick.minor.right: True # draw y axis right minor ticks
|
|
#ytick.alignment: center_baseline # alignment of yticks
|
|
|
|
|
|
## ***************************************************************************
|
|
## * GRIDS *
|
|
## ***************************************************************************
|
|
#grid.color: b0b0b0 # grid color
|
|
#grid.linestyle: - # solid
|
|
#grid.linewidth: 0.8 # in points
|
|
#grid.alpha: 1.0 # transparency, between 0.0 and 1.0
|
|
|
|
|
|
## ***************************************************************************
|
|
## * LEGEND *
|
|
## ***************************************************************************
|
|
#legend.loc: best
|
|
#legend.frameon: True # if True, draw the legend on a background patch
|
|
#legend.framealpha: 0.8 # legend patch transparency
|
|
#legend.facecolor: inherit # inherit from axes.facecolor; or color spec
|
|
#legend.edgecolor: 0.8 # background patch boundary color
|
|
#legend.fancybox: True # if True, use a rounded box for the
|
|
# legend background, else a rectangle
|
|
#legend.shadow: False # if True, give background a shadow effect
|
|
#legend.numpoints: 1 # the number of marker points in the legend line
|
|
#legend.scatterpoints: 1 # number of scatter points
|
|
#legend.markerscale: 1.0 # the relative size of legend markers vs. original
|
|
#legend.fontsize: medium
|
|
#legend.title_fontsize: None # None sets to the same as the default axes.
|
|
|
|
## Dimensions as fraction of fontsize:
|
|
#legend.borderpad: 0.4 # border whitespace
|
|
#legend.labelspacing: 0.5 # the vertical space between the legend entries
|
|
#legend.handlelength: 2.0 # the length of the legend lines
|
|
#legend.handleheight: 0.7 # the height of the legend handle
|
|
#legend.handletextpad: 0.8 # the space between the legend line and legend text
|
|
#legend.borderaxespad: 0.5 # the border between the axes and legend edge
|
|
#legend.columnspacing: 2.0 # column separation
|
|
|
|
|
|
## ***************************************************************************
|
|
## * FIGURE *
|
|
## ***************************************************************************
|
|
## See https://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure
|
|
#figure.titlesize: large # size of the figure title (``Figure.suptitle()``)
|
|
#figure.titleweight: normal # weight of the figure title
|
|
#figure.figsize: 6.4, 4.8 # figure size in inches
|
|
#figure.dpi: 100 # figure dots per inch
|
|
#figure.facecolor: white # figure facecolor
|
|
#figure.edgecolor: white # figure edgecolor
|
|
#figure.frameon: True # enable figure frame
|
|
#figure.max_open_warning: 20 # The maximum number of figures to open through
|
|
# the pyplot interface before emitting a warning.
|
|
# If less than one this feature is disabled.
|
|
#figure.raise_window : True # Raise the GUI window to front when show() is called.
|
|
|
|
## The figure subplot parameters. All dimensions are a fraction of the figure width and 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: 0.11 # the bottom of the subplots of the figure
|
|
#figure.subplot.top: 0.88 # the top of the subplots of the figure
|
|
#figure.subplot.wspace: 0.2 # the amount of width reserved for space between subplots,
|
|
# expressed as a fraction of the average axis width
|
|
#figure.subplot.hspace: 0.2 # the amount of height reserved for space between subplots,
|
|
# expressed as a fraction of the average axis height
|
|
|
|
## Figure layout
|
|
#figure.autolayout: False # When True, automatically adjust subplot
|
|
# parameters to make the plot fit the figure
|
|
# using `tight_layout`
|
|
#figure.constrained_layout.use: False # When True, automatically make plot
|
|
# elements fit on the figure. (Not
|
|
# compatible with `autolayout`, above).
|
|
#figure.constrained_layout.h_pad: 0.04167 # Padding around axes objects. Float representing
|
|
#figure.constrained_layout.w_pad: 0.04167 # inches. Default is 3./72. inches (3 pts)
|
|
#figure.constrained_layout.hspace: 0.02 # Space between subplot groups. Float representing
|
|
#figure.constrained_layout.wspace: 0.02 # a fraction of the subplot widths being separated.
|
|
|
|
|
|
## ***************************************************************************
|
|
## * IMAGES *
|
|
## ***************************************************************************
|
|
#image.aspect: equal # {equal, auto} or a number
|
|
#image.interpolation: antialiased # see help(imshow) for options
|
|
#image.cmap: viridis # A colormap name, gray etc...
|
|
#image.lut: 256 # the size of the colormap lookup table
|
|
#image.origin: upper # {lower, upper}
|
|
#image.resample: True
|
|
#image.composite_image: True # When True, all the images on a set of axes are
|
|
# combined into a single composite image before
|
|
# saving a figure as a vector graphics file,
|
|
# such as a PDF.
|
|
|
|
|
|
## ***************************************************************************
|
|
## * CONTOUR PLOTS *
|
|
## ***************************************************************************
|
|
#contour.negative_linestyle: dashed # string or on-off ink sequence
|
|
#contour.corner_mask: True # {True, False, legacy}
|
|
#contour.linewidth: None # {float, None} Size of the contour
|
|
# linewidths. If set to None,
|
|
# it falls back to `line.linewidth`.
|
|
|
|
|
|
## ***************************************************************************
|
|
## * ERRORBAR PLOTS *
|
|
## ***************************************************************************
|
|
#errorbar.capsize: 0 # length of end cap on error bars in pixels
|
|
|
|
|
|
## ***************************************************************************
|
|
## * HISTOGRAM PLOTS *
|
|
## ***************************************************************************
|
|
#hist.bins: 10 # The default number of histogram bins or 'auto'.
|
|
|
|
|
|
## ***************************************************************************
|
|
## * SCATTER PLOTS *
|
|
## ***************************************************************************
|
|
#scatter.marker: o # The default marker type for scatter plots.
|
|
#scatter.edgecolors: face # The default edge colors for scatter plots.
|
|
|
|
|
|
## ***************************************************************************
|
|
## * 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.
|
|
|
|
|
|
## ***************************************************************************
|
|
## * PATHS *
|
|
## ***************************************************************************
|
|
#path.simplify: True # When True, simplify paths by removing "invisible"
|
|
# points to reduce file size and increase rendering
|
|
# speed
|
|
#path.simplify_threshold: 0.111111111111 # The threshold of similarity below
|
|
# which vertices will be removed in
|
|
# the simplification process.
|
|
#path.snap: True # When True, rectilinear axis-aligned paths will be snapped
|
|
# to the nearest pixel when certain criteria are met.
|
|
# When False, paths will never be snapped.
|
|
#path.sketch: None # May be None, or a 3-tuple of the form:
|
|
# (scale, length, randomness).
|
|
# - *scale* is the amplitude of the wiggle
|
|
# perpendicular to the line (in pixels).
|
|
# - *length* is the length of the wiggle along the
|
|
# line (in pixels).
|
|
# - *randomness* is the factor by which the length is
|
|
# randomly scaled.
|
|
#path.effects:
|
|
|
|
|
|
## ***************************************************************************
|
|
## * SAVING FIGURES *
|
|
## ***************************************************************************
|
|
## The default savefig params can be different from the display params
|
|
## e.g., you may want a higher resolution, or to make the figure
|
|
## background white
|
|
#savefig.dpi: figure # figure dots per inch or 'figure'
|
|
#savefig.facecolor: auto # figure facecolor when saving
|
|
#savefig.edgecolor: auto # figure edgecolor when saving
|
|
#savefig.format: png # {png, ps, pdf, svg}
|
|
#savefig.bbox: standard # {tight, standard}
|
|
# 'tight' is incompatible with pipe-based animation
|
|
# backends (e.g. 'ffmpeg') but will work with those
|
|
# based on temporary files (e.g. 'ffmpeg_file')
|
|
#savefig.pad_inches: 0.1 # Padding to be used when bbox is set to 'tight'
|
|
#savefig.directory: ~ # default directory in savefig dialog box,
|
|
# leave empty to always use current working directory
|
|
#savefig.transparent: False # setting that controls whether figures are saved with a
|
|
# transparent background by default
|
|
#savefig.orientation: portrait # Orientation of saved figure
|
|
|
|
### tk backend params
|
|
#tk.window_focus: False # Maintain shell focus for TkAgg
|
|
|
|
### 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 # {ghostscript, xpdf, None}
|
|
# 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)
|
|
#pdf.use14corefonts : False
|
|
#pdf.inheritcolor: False
|
|
|
|
### SVG backend params
|
|
#svg.image_inline: True # Write raster image data directly into the SVG file
|
|
#svg.fonttype: path # How to handle SVG fonts:
|
|
# path: Embed characters as paths -- supported
|
|
# by most SVG renderers
|
|
# None: Assume fonts are installed on the
|
|
# machine where the SVG will be viewed.
|
|
#svg.hashsalt: None # If not None, use this string as hash salt instead of uuid4
|
|
|
|
### pgf parameter
|
|
## See https://matplotlib.org/tutorials/text/pgf.html for more information.
|
|
#pgf.rcfonts: True
|
|
#pgf.preamble: # See text.latex.preamble for documentation
|
|
#pgf.texsystem: xelatex
|
|
|
|
### docstring params
|
|
#docstring.hardcopy: False # set this when you want to generate hardcopy docstring
|
|
|
|
|
|
## ***************************************************************************
|
|
## * INTERACTIVE KEYMAPS *
|
|
## ***************************************************************************
|
|
## Event keys to interact with figures/plots via keyboard.
|
|
## See https://matplotlib.org/users/navigation_toolbar.html for more details on
|
|
## interactive navigation. Customize these settings according to your needs.
|
|
## Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')
|
|
#keymap.fullscreen: f, ctrl+f # toggling
|
|
#keymap.home: h, r, home # home or reset mnemonic
|
|
#keymap.back: left, c, backspace, MouseButton.BACK # forward / backward keys
|
|
#keymap.forward: right, v, MouseButton.FORWARD # for quick navigation
|
|
#keymap.pan: p # pan mnemonic
|
|
#keymap.zoom: o # zoom mnemonic
|
|
#keymap.save: s, ctrl+s # saving current figure
|
|
#keymap.help: f1 # display help about active tools
|
|
#keymap.quit: ctrl+w, cmd+w, q # close the current figure
|
|
#keymap.quit_all: # close all figures
|
|
#keymap.grid: g # switching on/off major grids in current axes
|
|
#keymap.grid_minor: G # switching on/off minor grids in current axes
|
|
#keymap.yscale: l # toggle scaling of y-axes ('log'/'linear')
|
|
#keymap.xscale: k, L # toggle scaling of x-axes ('log'/'linear')
|
|
#keymap.copy: ctrl+c, cmd+c # Copy figure to clipboard
|
|
|
|
|
|
## ***************************************************************************
|
|
## * ANIMATION *
|
|
## ***************************************************************************
|
|
#animation.html: none # How to display the animation as HTML in
|
|
# the IPython notebook:
|
|
# - 'html5' uses HTML5 video tag
|
|
# - 'jshtml' creates a Javascript animation
|
|
#animation.writer: ffmpeg # MovieWriter 'backend' to use
|
|
#animation.codec: h264 # Codec to use for writing movie
|
|
#animation.bitrate: -1 # Controls size/quality tradeoff for movie.
|
|
# -1 implies let utility auto-determine
|
|
#animation.frame_format: png # Controls frame format used by temp files
|
|
#animation.ffmpeg_path: ffmpeg # Path to ffmpeg binary. Without full path
|
|
# $PATH is searched
|
|
#animation.ffmpeg_args: # Additional arguments to pass to ffmpeg
|
|
#animation.convert_path: convert # Path to ImageMagick's convert binary.
|
|
# On Windows use the full path since convert
|
|
# is also the name of a system tool.
|
|
#animation.convert_args: # Additional arguments to pass to convert
|
|
#animation.embed_limit: 20.0 # Limit, in MB, of size of base64 encoded
|
|
# animation in HTML (i.e. IPython notebook)
|
|
|
|
#mpl_toolkits.legacy_colorbar: True
|