aboutsummaryrefslogtreecommitdiffstats
path: root/.config/matplotlib
diff options
context:
space:
mode:
authorÓscar Nájera <hi@oscarnajera.com>2020-10-25 16:11:55 +0100
committerÓscar Nájera <hi@oscarnajera.com>2020-10-25 16:11:55 +0100
commitb1bbcaaf3cae88c56a104e3e340b3eb59efd239f (patch)
tree20cb5ae5e715afa2fdaea20beaccd88d57d02390 /.config/matplotlib
parentf927663a0fbaeb2ef1db0a19956f4cd3ba0b06bd (diff)
downloaddotfiles-b1bbcaaf3cae88c56a104e3e340b3eb59efd239f.tar.gz
dotfiles-b1bbcaaf3cae88c56a104e3e340b3eb59efd239f.tar.bz2
dotfiles-b1bbcaaf3cae88c56a104e3e340b3eb59efd239f.zip
symlink a tree
Diffstat (limited to '.config/matplotlib')
-rw-r--r--.config/matplotlib/matplotlibrc628
1 files changed, 0 insertions, 628 deletions
diff --git a/.config/matplotlib/matplotlibrc b/.config/matplotlib/matplotlibrc
deleted file mode 100644
index 567f2fd..0000000
--- a/.config/matplotlib/matplotlibrc
+++ /dev/null
@@ -1,628 +0,0 @@
-# -*- mode: conf-colon -*-
-### MATPLOTLIBRC FORMAT
-
-# This is a sample matplotlib configuration file - you can find a copy
-# of it on your system in
-# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it
-# there, please note that it will be overwritten in your next install.
-# If you want to keep a permanent local copy that will not be
-# overwritten, place it in the following location:
-# unix/linux:
-# $HOME/.config/matplotlib/matplotlibrc or
-# $XDG_CONFIG_HOME/matplotlib/matplotlibrc (if $XDG_CONFIG_HOME is set)
-# other platforms:
-# $HOME/.matplotlib/matplotlibrc
-#
-# See http://matplotlib.org/users/customizing.html#the-matplotlibrc-file for
-# more details on the paths which are checked for the configuration file.
-#
-# This file is best viewed in a editor which supports python mode
-# syntax highlighting. Blank lines, or lines starting with a comment
-# symbol, are ignored, as are trailing comments. Other lines must
-# have the format
-# key : val # optional comment
-#
-# Colors: for the color values below, you can either use - a
-# matplotlib color string, such as r, k, or b - an rgb tuple, such as
-# (1.0, 0.5, 0.0) - a hex string, such as ff00ff - a scalar
-# grayscale intensity such as 0.75 - a legal html color name, e.g., red,
-# blue, darkslategray
-
-#### CONFIGURATION BEGINS HERE
-
-# The default backend; one of GTK GTKAgg GTKCairo GTK3Agg GTK3Cairo
-# MacOSX Qt4Agg Qt5Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG
-# Template.
-# You can also deploy your own backend outside of matplotlib by
-# referring to the module name (which must be in the PYTHONPATH) as
-# 'module://my_backend'.
-backend : Qt5Agg
-
-# If you are using the Qt4Agg backend, you can choose here
-# to use the PyQt4 bindings or the newer PySide bindings to
-# the underlying Qt4 toolkit.
-#backend.qt4 : PyQt4 # PyQt4 | PySide
-
-# Note that this can be overridden by the environment variable
-# QT_API used by Enthought Tool Suite (ETS); valid values are
-# "pyqt" and "pyside". The "pyqt" setting has the side effect of
-# forcing the use of Version 2 API for QString and QVariant.
-
-# The port to use for the web server in the WebAgg backend.
-# webagg.port : 8888
-
-# If webagg.port is unavailable, a number of other random ports will
-# be tried until one that is available is found.
-# webagg.port_retries : 50
-
-# When True, open the webbrowser to the plot that is shown
-# webagg.open_in_browser : True
-
-# When True, the figures rendered in the nbagg backend are created with
-# a transparent background.
-# nbagg.transparent : False
-
-# if you are running pyplot inside a GUI and your backend choice
-# conflicts, we will automatically try to find a compatible one for
-# you if backend_fallback is True
-#backend_fallback: True
-
-#interactive : False
-#toolbar : toolbar2 # None | toolbar2 ("classic" is deprecated)
-#timezone : UTC # a pytz timezone string, e.g., US/Central or Europe/Paris
-
-# Where your matplotlib data lives if you installed to a non-default
-# location. This is where the matplotlib fonts, bitmaps, etc reside
-#datapath : /home/jdhunter/mpldata
-
-
-### LINES
-# See http://matplotlib.org/api/artist_api.html#module-matplotlib.lines for more
-# information on line properties.
-#lines.linewidth : 1.5 # line width in points
-#lines.linestyle : - # solid line
-#lines.color : C0 # has no affect on plot(); see axes.prop_cycle
-#lines.marker : None # the default marker
-#lines.markeredgewidth : 1.0 # the line width around the marker symbol
-#lines.markersize : 6 # markersize, in points
-#lines.dash_joinstyle : miter # miter|round|bevel
-#lines.dash_capstyle : butt # butt|round|projecting
-#lines.solid_joinstyle : miter # miter|round|bevel
-#lines.solid_capstyle : projecting # butt|round|projecting
-#lines.antialiased : True # render lines in antialiased (no jaggies)
-
-# The three standard dash patterns. These are scaled by the linewidth.
-#lines.dashed_pattern : 2.8, 1.2
-#lines.dashdot_pattern : 4.8, 1.2, 0.8, 1.2
-#lines.dotted_pattern : 1.1, 1.1
-#lines.scale_dashes : True
-
-#markers.fillstyle: full # full|left|right|bottom|top|none
-
-### PATCHES
-# Patches are graphical objects that fill 2D space, like polygons or
-# circles. See
-# http://matplotlib.org/api/artist_api.html#module-matplotlib.patches
-# information on patch properties
-#patch.linewidth : 1 # edge width in points.
-#patch.facecolor : C0
-#patch.edgecolor : black # if forced, or patch is not filled
-#patch.force_edgecolor : False # True to always use edgecolor
-#patch.antialiased : True # render patches in antialiased (no jaggies)
-
-### HATCHES
-#hatch.color : k
-#hatch.linewidth : 1.0
-
-### Boxplot
-#boxplot.notch : False
-#boxplot.vertical : True
-#boxplot.whiskers : 1.5
-#boxplot.bootstrap : None
-#boxplot.patchartist : False
-#boxplot.showmeans : False
-#boxplot.showcaps : True
-#boxplot.showbox : True
-#boxplot.showfliers : True
-#boxplot.meanline : False
-
-#boxplot.flierprops.color : 'k'
-#boxplot.flierprops.marker : 'o'
-#boxplot.flierprops.markerfacecolor : 'none'
-#boxplot.flierprops.markeredgecolor : 'k'
-#boxplot.flierprops.markersize : 6
-#boxplot.flierprops.linestyle : 'none'
-#boxplot.flierprops.linewidth : 1.0
-
-#boxplot.boxprops.color : 'k'
-#boxplot.boxprops.linewidth : 1.0
-#boxplot.boxprops.linestyle : '-'
-
-#boxplot.whiskerprops.color : 'k'
-#boxplot.whiskerprops.linewidth : 1.0
-#boxplot.whiskerprops.linestyle : '-'
-
-#boxplot.capprops.color : 'k'
-#boxplot.capprops.linewidth : 1.0
-#boxplot.capprops.linestyle : '-'
-
-#boxplot.medianprops.color : 'C1'
-#boxplot.medianprops.linewidth : 1.0
-#boxplot.medianprops.linestyle : '-'
-
-#boxplot.meanprops.color : 'C2'
-#boxplot.meanprops.marker : '^'
-#boxplot.meanprops.markerfacecolor : 'C2'
-#boxplot.meanprops.markeredgecolor : 'C2'
-#boxplot.meanprops.markersize : 6
-#boxplot.meanprops.linestyle : 'none'
-#boxplot.meanprops.linewidth : 1.0
-
-### FONT
-#
-# font properties used by text.Text. See
-# http://matplotlib.org/api/font_manager_api.html for more
-# information on font properties. The 6 font properties used for font
-# matching are given below with their default values.
-#
-# The font.family property has five values: 'serif' (e.g., Times),
-# 'sans-serif' (e.g., Helvetica), 'cursive' (e.g., Zapf-Chancery),
-# 'fantasy' (e.g., Western), and 'monospace' (e.g., Courier). Each of
-# these font families has a default list of font names in decreasing
-# order of priority associated with them. When text.usetex is False,
-# font.family may also be one or more concrete font names.
-#
-# The font.style property has three values: normal (or roman), italic
-# or oblique. The oblique style will be used for italic, if it is not
-# present.
-#
-# The font.variant property has two values: normal or small-caps. For
-# TrueType fonts, which are scalable fonts, small-caps is equivalent
-# to using a font size of 'smaller', or about 83%% of the current font
-# size.
-#
-# The font.weight property has effectively 13 values: normal, bold,
-# bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as
-# 400, and bold is 700. bolder and lighter are relative values with
-# respect to the current weight.
-#
-# The font.stretch property has 11 values: ultra-condensed,
-# extra-condensed, condensed, semi-condensed, normal, semi-expanded,
-# expanded, extra-expanded, ultra-expanded, wider, and narrower. This
-# property is not currently implemented.
-#
-# The font.size property is the default font size for text, given in pts.
-# 10 pt is the standard value.
-#
-#font.family : sans-serif
-#font.style : normal
-#font.variant : normal
-#font.weight : medium
-#font.stretch : normal
-# note that font.size controls default text sizes. To configure
-# special text sizes tick labels, axes, labels, title, etc, see the rc
-# settings for axes and ticks. Special text sizes can be defined
-# relative to font.size, using the following values: xx-small, x-small,
-# small, medium, large, x-large, xx-large, larger, or smaller
-font.size : 14.0
-#font.serif : DejaVu Serif, Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
-#font.sans-serif : DejaVu Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
-#font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive
-#font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, Humor Sans, xkcd, fantasy
-#font.monospace : DejaVu Sans Mono, Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
-
-### TEXT
-# text properties used by text.Text. See
-# http://matplotlib.org/api/artist_api.html#module-matplotlib.text for more
-# information on text properties
-
-#text.color : black
-
-### LaTeX customizations. See http://wiki.scipy.org/Cookbook/Matplotlib/UsingTex
-#text.usetex : False # use latex for all text handling. The following fonts
- # are supported through the usual rc parameter settings:
- # new century schoolbook, bookman, times, palatino,
- # zapf chancery, charter, serif, sans-serif, helvetica,
- # avant garde, courier, monospace, computer modern roman,
- # computer modern sans serif, computer modern typewriter
- # If another font is desired which can loaded using the
- # LaTeX \usepackage command, please inquire at the
- # matplotlib mailing list
-#text.latex.unicode : False # use "ucs" and "inputenc" LaTeX packages for handling
- # unicode strings.
-#text.latex.preamble : # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES
- # AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP
- # IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
- # preamble is a comma separated list of LaTeX statements
- # that are included in the LaTeX document preamble.
- # An example:
- # text.latex.preamble : \usepackage{bm},\usepackage{euler}
- # The following packages are always loaded with usetex, so
- # beware of package collisions: color, geometry, graphicx,
- # type1cm, textcomp. Adobe Postscript (PSSNFS) font packages
- # may also be loaded, depending on your font settings
-
-#text.dvipnghack : None # some versions of dvipng don't handle alpha
- # channel properly. Use True to correct
- # and flush ~/.matplotlib/tex.cache
- # before testing and False to force
- # correction off. None will try and
- # guess based on your dvipng version
-
-#text.hinting : auto # May be one of the following:
- # 'none': Perform no hinting
- # 'auto': Use FreeType's autohinter
- # 'native': Use the hinting information in the
- # font file, if available, and if your
- # FreeType library supports it
- # 'either': Use the native hinting information,
- # or the autohinter if none is available.
- # For backward compatibility, this value may also be
- # True === 'auto' or False === 'none'.
-#text.hinting_factor : 8 # Specifies the amount of softness for hinting in the
- # horizontal direction. A value of 1 will hint to full
- # pixels. A value of 2 will hint to half pixels etc.
-
-#text.antialiased : True # If True (default), the text will be antialiased.
- # This only affects the Agg backend.
-
-# The following settings allow you to select the fonts in math mode.
-# They map from a TeX font name to a fontconfig font pattern.
-# These settings are only used if mathtext.fontset is 'custom'.
-# Note that this "custom" mode is unsupported and may go away in the
-# future.
-#mathtext.cal : cursive
-#mathtext.rm : serif
-#mathtext.tt : monospace
-#mathtext.it : serif:italic
-#mathtext.bf : serif:bold
-#mathtext.sf : sans
-mathtext.fontset : cm # Should be 'dejavusans' (default),
- # 'dejavuserif', 'cm' (Computer Modern), 'stix',
- # 'stixsans' or 'custom'
-#mathtext.fallback_to_cm : True # When True, use symbols from the Computer Modern
- # fonts when a symbol can not be found in one of
- # the custom math fonts.
-
-#mathtext.default : it # The default font to use for math.
- # Can be any of the LaTeX font names, including
- # the special name "regular" for the same font
- # used in regular text.
-
-### AXES
-# default face and edge color, default tick sizes,
-# default fontsizes for ticklabels, and so on. See
-# http://matplotlib.org/api/axes_api.html#module-matplotlib.axes
-#axes.facecolor : white # axes background color
-#axes.edgecolor : black # axes edge color
-#axes.linewidth : 0.8 # edge linewidth
-axes.grid : True # display grid or not
-#axes.titlesize : large # fontsize of the axes title
-#axes.titlepad : 6.0 # pad between axes and title in points
-#axes.labelsize : medium # fontsize of the x any y labels
-#axes.labelpad : 4.0 # space between label and axis
-#axes.labelweight : normal # weight of the x and y labels
-#axes.labelcolor : black
-#axes.axisbelow : 'line' # draw axis gridlines and ticks below
- # patches (True); above patches but below
- # lines ('line'); or above all (False)
-
-#axes.formatter.limits : -7, 7 # use scientific notation if log10
- # of the axis range is smaller than the
- # first or larger than the second
-#axes.formatter.use_locale : False # When True, format tick labels
- # according to the user's locale.
- # For example, use ',' as a decimal
- # separator in the fr_FR locale.
-#axes.formatter.use_mathtext : False # When True, use mathtext for scientific
- # notation.
-#axes.formatter.useoffset : True # If True, the tick label formatter
- # will default to labeling ticks relative
- # to an offset when the data range is
- # small compared to the minimum absolute
- # value of the data.
-#axes.formatter.offset_threshold : 4 # When useoffset is True, the offset
- # will be used when it can remove
- # at least this number of significant
- # digits from tick labels.
-
-# axes.spines.left : True # display axis spines
-# axes.spines.bottom : True
-# axes.spines.top : True
-# axes.spines.right : True
-
-
-#axes.unicode_minus : True # use unicode for the minus symbol
- # rather than hyphen. See
- # http://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codes
-#axes.prop_cycle : cycler('color',
-# ['1f77b4', 'ff7f0e', '2ca02c', 'd62728',
-# '9467bd', '8c564b', 'e377c2', '7f7f7f',
-# 'bcbd22', '17becf'])
- # color cycle for plot lines
- # as list of string colorspecs:
- # single letter, long name, or
- # web-style hex
-#axes.autolimit_mode : data # How to scale axes limits to the data.
- # Use "data" to use data limits, plus some margin
- # Use "round_number" move to the nearest "round" number
-#axes.xmargin : .05 # x margin. See `axes.Axes.margins`
-#axes.ymargin : .05 # y margin See `axes.Axes.margins`
-
-#polaraxes.grid : True # display grid on polar axes
-#axes3d.grid : True # display grid on 3d axes
-
-### DATES
-# These control the default format strings used in AutoDateFormatter.
-# Any valid format datetime format string can be used (see the python
-# `datetime` for details). For example using '%%x' will use the locale date representation
-# '%%X' will use the locale time representation and '%%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
-
-### TICKS
-# see http://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.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 : k # color of the tick labels
-#xtick.labelsize : medium # fontsize of the tick labels
-#xtick.direction : out # direction: in, out, or inout
-xtick.minor.visible : True # 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
-
-#ytick.left : True # draw ticks on the left side
-#ytick.right : False # draw ticks 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 : k # color of the tick labels
-#ytick.labelsize : medium # fontsize of the tick labels
-#ytick.direction : out # direction: in, out, or inout
-ytick.minor.visible : True # visibility of minor ticks on y-axis
-#xtick.major.left : True # draw y axis left major ticks
-#xtick.major.right : True # draw y axis right major ticks
-#xtick.minor.left : True # draw y axis left minor ticks
-#xtick.minor.right : True # draw y axis right minor ticks
-
-
-### 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
-# 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 http://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 : 8, 6 # figure size in inches
-figure.dpi : 120 # figure dots per inch
-#figure.facecolor : white # figure facecolor; 0.75 is scalar gray
-#figure.edgecolor : white # figure edgecolor
-#figure.autolayout : True # When True, automatically adjust subplot
- # parameters to make the plot fit the figure
-#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.
-
-# The figure subplot parameters. All dimensions are a fraction of the
-#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 blank space between subplots,
- # expressed as a fraction of the average axis width
-#figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots,
- # expressed as a fraction of the average axis height
-
-
-### IMAGES
-#image.aspect : equal # equal | auto | a number
-#image.interpolation : nearest # 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 # dashed | solid
-#contour.corner_mask : True # True | False | legacy
-
-### 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.
- # If Numpy 1.11 or later is
- # installed, may also be `auto`
-
-### SCATTER PLOTS
-#scatter.marker : o # The default marker type 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.
-### SAVING FIGURES
-#path.simplify : True # When True, simplify paths by removing "invisible"
- # points to reduce file size and increase rendering
- # speed
-#path.simplify_threshold : 0.1 # 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.
-
-# 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 : white # figure facecolor when saving
-#savefig.edgecolor : white # figure edgecolor when saving
-#savefig.format : png # png, ps, pdf, svg
-savefig.bbox : tight # 'tight' or 'standard'.
- # 'tight' is incompatible with pipe-based animation
- # backends but will workd with temporary file based ones:
- # e.g. setting animation.writer to ffmpeg will not work,
- # use ffmpeg_file instead
-savefig.pad_inches : 0.05 # Padding to be used when bbox is set to 'tight'
-#savefig.jpeg_quality: 95 # when a jpeg is saved, the default quality parameter.
-#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
-
-# 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 # can be: None, ghostscript or xpdf
- # Experimental: may produce smaller files.
- # xpdf intended for production of publication quality files,
- # but requires ghostscript, xpdf and ps2eps
-#ps.distiller.res : 6000 # dpi
-#ps.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
-
-# pdf backend params
-#pdf.compression : 6 # integer from 0 to 9
- # 0 disables compression (good for debugging)
-#pdf.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)
-
-# svg backend params
-#svg.image_inline : True # write raster image data directly into the svg file
-#svg.fonttype : 'path' # How to handle SVG fonts:
-# 'none': Assume fonts are installed on the machine where the SVG will be viewed.
-# 'path': Embed characters as paths -- supported by most SVG renderers
-# 'svgfont': Embed characters as SVG fonts -- supported only by Chrome,
-# Opera and Safari
-#svg.hashsalt : None # if not None, use this string as hash salt
- # instead of uuid4
-
-# docstring params
-#docstring.hardcopy = False # set this when you want to generate hardcopy docstring
-
-# Set the verbose flags. This controls how much information
-# matplotlib gives you at runtime and where it goes. The verbosity
-# levels are: silent, helpful, debug, debug-annoying. Any level is
-# inclusive of all the levels below it. If your setting is "debug",
-# you'll get all the debug and helpful messages. When submitting
-# problems to the mailing-list, please set verbose to "helpful" or "debug"
-# and paste the output into your report.
-#
-# The "fileo" gives the destination for any calls to verbose.report.
-# These objects can a filename, or a filehandle like sys.stdout.
-#
-# You can override the rc default verbosity from the command line by
-# giving the flags --verbose-LEVEL where LEVEL is one of the legal
-# levels, e.g., --verbose-helpful.
-#
-# You can access the verbose instance in your code
-# from matplotlib import verbose.
-#verbose.level : silent # one of silent, helpful, debug, debug-annoying
-#verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr
-
-# Event keys to interact with figures/plots via keyboard.
-# 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 # forward / backward keys to enable
-#keymap.forward : right, v # left handed quick navigation
-#keymap.pan : p # pan mnemonic
-#keymap.zoom : o # zoom mnemonic
-#keymap.save : s # saving current figure
-#keymap.quit : ctrl+w, cmd+w # close the current figure
-#keymap.grid : g # switching on/off a grid in current axes
-#keymap.yscale : l # toggle scaling of y-axes ('log'/'linear')
-#keymap.xscale : L, k # toggle scaling of x-axes ('log'/'linear')
-#keymap.all_axes : a # enable all axes
-
-# Control location of examples data files
-#examples.directory : '' # directory to look in for custom installation
-
-###ANIMATION settings
-#animation.html : 'none' # How to display the animation as HTML in
- # the IPython notebook. 'html5' uses
- # HTML5 video tag.
-#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.avconv_path: 'avconv' # Path to avconv binary. Without full path
- # $PATH is searched
-#animation.avconv_args: '' # Additional arguments to pass to avconv
-#animation.mencoder_path: 'mencoder'
- # Path to mencoder binary. Without full path
- # $PATH is searched
-#animation.mencoder_args: '' # Additional arguments to pass to mencoder
-#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.