#### 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.

##

## 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: Use PEP8-like style (as enforced in the rest of the codebase).

## All lines start with an additional '#', so that removing all leading '#'s

## yields a valid style file.

##

## 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, toolmanager}

#timezone: UTC # a pytz timezone string, e.g., US/Central or Europe/Paris

## ***************************************************************************

## * 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}

#pcolor.shading : flat

## ***************************************************************************

## * 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 *

## ***************************************************************************

## For more information on LaTex properties, see

## https://matplotlib.org/tutorials/text/usetex.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.

## FreeType hinting flag ("foo" corresponds to FT_LOAD_FOO); may be one of the following:

## - default: Use the font's native hinter if possible, else FreeType's auto-hinter.

## ("either" is a synonym).

## - no_autohint: Use the font's native hinter if possible, else don't hint.

## ("native" is a synonym.)

## - force_autohint: Use FreeType's auto-hinter. ("auto" is a synonym.)

## - no_hinting: Disable hinting. ("none" is a synonym.)

#text.hinting: force_autohint

#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.

#mathtext.fontset: dejavusans # Should be 'dejavusans' (default),

# 'dejavuserif', 'cm' (Computer Modern), 'stix',

# 'stixsans' or 'custom' (unsupported, may go

# away in the future)

## "mathtext.fontset: custom" is defined by the mathtext.bf, .cal, .it, ...

## settings which map a TeX font name to a fontconfig font pattern. (These

## settings are not used for other font sets.)

#mathtext.bf: sans:bold

#mathtext.cal: cursive

#mathtext.it: sans:italic

#mathtext.rm: sans

#mathtext.sf: sans

#mathtext.tt: monospace

#mathtext.fallback: cm # Select fallback font from ['cm' (Computer Modern), 'stix'

# 'stixsans'] when a symbol can not be found in one of the

# custom math fonts. Select 'None' to not perform fallback

# and replace the missing character by a dummy symbol.

#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.titley: None # position title (axes relative units). None implies auto

#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

## ***************************************************************************

## * AXIS *

## ***************************************************************************

#xaxis.labellocation : center # alignment of the xaxis label: {left, right, center}

#yaxis.labellocation : center # alignment of the yaxis label: {bottom, top, center}

## ***************************************************************************

## * 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

## 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 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.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