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#### 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
## (which related to your Python installation location).
##
## 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 one of the following locations:
## unix/linux:
## $HOME/.config/matplotlib/matplotlibrc OR
## $XDG_CONFIG_HOME/matplotlib/matplotlibrc (if $XDG_CONFIG_HOME is set)
## other platforms:
## $HOME/.matplotlib/matplotlibrc
##
## See https://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
##
## Formatting and style conventions for this file:
## - at least one whitesapce AROUND `:` to seperate key and val
## * prefer one whitesapce except for block colon alignment
## - at least two whitesapces BEFORE `##` to seperate the key-val pair and
## the trailing comments
## * prefer two whitesapces except for block `##` alignment
## - at least one whitesapce AFTER `##` to seperate the `##` marker and
## the comment text
## * prefer one whitesapce except for indentation (listing, etc.), in
## which case, four more whitespaces are preferred
##
## 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
##
## Matplotlib configuration are currently divided into following parts:
## - BACKENDS
## - LINES
## - PATCHES
## - HATCHES
## - BOXPLOT
## - FONT
## - TEXT
## - LaTeX
## - AXES
## - DATES
## - TICKS
## - GRIDS
## - LEGEND
## - FIGURE
## - IMAGES
## - CONTOUR PLOTS
## - ERRORBAR PLOTS
## - HISTOGRAM PLOTS
## - SCATTER PLOTS
## - AGG RENDERING
## - PATHS
## - SAVING FIGURES
## - INTERACTIVE KEYMAPS
## - ANIMATION
##### CONFIGURATION BEGINS HERE
## ***************************************************************************
## * BACKENDS *
## ***************************************************************************
## The default backend. If you omit this parameter, the first working
## backend from the following list is used:
## MacOSX Qt5Agg Qt4Agg Gtk3Agg TkAgg WxAgg Agg
## Other choices include:
## Qt5Cairo Qt4Cairo GTK3Cairo TkCairo WxCairo Cairo Wx
## 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 : Agg
## The port to use for the web server in the WebAgg backend.
#webagg.port : 8988
## The address on which the WebAgg web server should be reachable
#webagg.address : 127.0.0.1
## 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
## 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}
#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 https://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.markerfacecolor : auto ## the default marker face color
#lines.markeredgecolor : auto ## the default marker edge color
#lines.markeredgewidth : 1.0 ## the line width around the marker symbol
#lines.markersize : 6 ## marker size, in points
#lines.dash_joinstyle : round ## {miter, round, bevel}
#lines.dash_capstyle : butt ## {butt, round, projecting}
#lines.solid_joinstyle : round ## {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 : 3.7, 1.6
#lines.dashdot_pattern : 6.4, 1.6, 1, 1.6
#lines.dotted_pattern : 1, 1.65
#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 https://matplotlib.org/api/artist_api.html#module-matplotlib.patches
## for more 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 : black
#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 : black
#boxplot.flierprops.marker : o
#boxplot.flierprops.markerfacecolor : none
#boxplot.flierprops.markeredgecolor : black
#boxplot.flierprops.markeredgewidth : 1.0
#boxplot.flierprops.markersize : 6
#boxplot.flierprops.linestyle : none
#boxplot.flierprops.linewidth : 1.0
#boxplot.boxprops.color : black
#boxplot.boxprops.linewidth : 1.0
#boxplot.boxprops.linestyle : -
#boxplot.whiskerprops.color : black
#boxplot.whiskerprops.linewidth : 1.0
#boxplot.whiskerprops.linestyle : -
#boxplot.capprops.color : black
#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 : --
#boxplot.meanprops.linewidth : 1.0
## ***************************************************************************
## * FONT *
## ***************************************************************************
## The font properties used by `text.Text`.
## See https://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.
##
## 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.family : sans-serif
#font.style : normal
#font.variant : normal
#font.weight : normal
#font.stretch : normal
#font.size : 10.0
#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
#font.sans-serif : DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, 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 Neue, Comic Sans MS, Chicago, Charcoal, ImpactWestern, Humor Sans, xkcd, fantasy
#font.monospace : DejaVu Sans Mono, Bitstream Vera Sans Mono, Computer Modern Typewriter, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
## ***************************************************************************
## * TEXT *
## ***************************************************************************
## The text properties used by `text.Text`.
## See https://matplotlib.org/api/artist_api.html#module-matplotlib.text
## for more information on text properties
#text.color : black
## ***************************************************************************
## * LaTeX *
## ***************************************************************************
## See following links for more information on LaTex properties:
## https://matplotlib.org/tutorials/text/usetex.html
## https://scipy-cookbook.readthedocs.io/items/idx_matplotlib_typesetting.html
#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.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.
## text.latex.preamble is a single line of LaTeX code that
## will be passed on to the LaTeX system. It may contain
## any code that is valid for the LaTeX "preamble", i.e.
## between the "\documentclass" and "\begin{document}"
## statements.
## Note that it has to be put on a single line, which may
## become quite long.
## 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.latex.preview : False
#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.
#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.kerning_factor : 0 ## Specifies the scaling factor for kerning values. This
## is provided solely to allow old test images to remain
## unchanged. Set to 6 to obtain previous behavior. Values
## other than 0 or 6 have no defined meaning.
#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 : sans
#mathtext.tt : monospace
#mathtext.it : sans:italic
#mathtext.bf : sans:bold
#mathtext.sf : sans
#mathtext.fontset : dejavusans ## 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 *
## ***************************************************************************
## Following are default face and edge colors, default tick sizes,
## default fontsizes for ticklabels, and so on. See
## https://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 : False ## display grid or not
#axes.grid.axis : both ## which axis the grid should apply to
#axes.grid.which : major ## gridlines at {major, minor, both} ticks
#axes.titlelocation : center ## alignment of the title: {left, right, center}
#axes.titlesize : large ## fontsize of the axes title
#axes.titleweight : normal ## font weight of title
#axes.titlecolor : auto ## color of the axes title, auto falls back to text.color
## as default value
#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')
## - above all (False)
#axes.formatter.limits : -5, 6 ## 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.min_exponent : 0 ## minimum exponent to format in 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
## https://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
## As opposed to all other paramters in this file, the color
## values must be enclosed in quotes for this parameter,
# e.g. '1f77b4', instead of 1f77b4.
## See also https://matplotlib.org/tutorials/intermediate/color_cycle.html
## for more details on prop_cycle usage.
#axes.autolimit_mode : data ## How to scale axes limits to the data. By using:
## - "data" to use data limits, plus some margin
## - "round_numbers" 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, by using:
## - '%%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
## ***************************************************************************
## * 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.
## 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}
## ***************************************************************************
## * 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 : white ## figure facecolor when saving
#savefig.edgecolor : white ## figure edgecolor when saving
#savefig.format : png ## {png, ps, pdf, svg}
#savefig.bbox : standard ## {tight, 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 : 0.1 ## 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
#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 : W, cmd+W, Q ## 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.all_axes : a ## enable all axes
#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.html_args : ## Additional arguments to pass to html writer
#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.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
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