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Update links in matplotlibrc.template file.
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matplotlibrc.template

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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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## See https://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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#### 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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## 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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#markers.fillstyle: full ## full|left|right|bottom|top|none
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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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## 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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#### FONT
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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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## 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: 'serif' (e.g., Times),
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## 'sans-serif' (e.g., Helvetica), 'cursive' (e.g., Zapf-Chancery),
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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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#### 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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## 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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#### LaTeX customizations. See http://wiki.scipy.org/Cookbook/Matplotlib/UsingTex
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#### LaTeX
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## See following links for more information on LaTex properties:
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## https://matplotlib.org/tutorials/text/usetex.html
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## https://scipy-cookbook.readthedocs.io/items/idx_matplotlib_typesetting.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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## 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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## 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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## http://matplotlib.org/api/axes_api.html#module-matplotlib.axes
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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.spines.right : True
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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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## 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
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## colorspecs: single letter, long name, or web-style hex
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## Note the use of string escapes here ('1f77b4', instead of 1f77b4)
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## as opposed to the rest of this file.
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## See also https://matplotlib.org/tutorials/intermediate/color_cycle.html
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#axes.autolimit_mode : data ## How to scale axes limits to the data.
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## Use "data" to use data limits, plus some margin
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## Use "round_numbers" move to the nearest "round" number
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#date.autoformatter.microsecond : %M:%S.%f
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#### TICKS
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## see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick
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## See https://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick
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#xtick.top : False ## draw ticks on the top side
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#xtick.bottom : True ## draw ticks on the bottom side
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#xtick.labeltop : False ## draw label on the top
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#legend.columnspacing : 2.0 ## column separation
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#### FIGURE
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## See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure
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## See https://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure
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#figure.titlesize : large ## size of the figure title (Figure.suptitle())
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#figure.titleweight : normal ## weight of the figure title
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#figure.figsize : 6.4, 4.8 ## figure size in inches
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#svg.hashsalt : None ## if not None, use this string as hash salt
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## instead of uuid4
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### pgf parameter
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## See https://matplotlib.org/tutorials/text/pgf.html for more information.
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#pgf.rcfonts : True
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#pgf.preamble : ## see text.latex.preamble for documentation
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#pgf.texsystem : xelatex
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##docstring.hardcopy = False ## set this when you want to generate hardcopy docstring
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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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## See https://matplotlib.org/users/navigation_toolbar.html for more details on
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## interactive navigation. 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, ctrl+f ## toggling
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#keymap.home : h, r, home ## home or reset mnemonic

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