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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. 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 or #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# CocoaAgg 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 : qt4agg
# 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 : 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 ("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 : 1.7 # line width in points#lines.linestyle : - # solid line#lines.color : blue # has no affect on plot(); see axes.prop_cycle#lines.marker : None # the default marker#lines.markeredgewidth : 0.5 # 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 antialised (no jaggies)
#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 propertiespatch.linewidth : 0.1 # edge width in points#patch.facecolor : blue#patch.edgecolor : black#patch.antialiased : True # render patches in antialised (no jaggies)
### 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.# 12pt 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 : 24.0#font.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 : 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, fantasy#font.monospace : 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 '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.hold : True # whether to clear the axes by default on#axes.facecolor : white # axes background coloraxes.edgecolor : 666666 # axes edge color#axes.linewidth : 1.0 # edge linewidthaxes.grid : True # display grid or notaxes.titlesize : xx-large # fontsize of the axes titleaxes.labelsize : large # fontsize of the x any y labels#axes.labelpad : 5.0 # space between label and axis#axes.labelweight : normal # weight of the x and y labelsaxes.labelcolor : 444444#axes.axisbelow : False # whether axis gridlines and ticks are below # the axes elements (lines, text, etc)
#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 very # small compared to the minimum absolute # value of the data.
#axes.unicode_minus : True # use unicode for the minus symbol # rather than hyphen. See # http://en.wikipedia.org/wiki/Plus_and_minus_signs#Character_codesaxes.prop_cycle : cycler('color', ['e31d1d', '709afa', '76e146', 'c', 'm', 'y', 'k']) # color cycle for plot lines # as list of string colorspecs: # single letter, long name, or # web-style hex#axes.xmargin : 0 # x margin. See `axes.Axes.margins`#axes.ymargin : 0 # y margin See `axes.Axes.margins`
#polaraxes.grid : True # display grid on polar axes#axes3d.grid : True # display grid on 3d axes
### TICKS# see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick#xtick.major.size : 4 # major tick size in points#xtick.minor.size : 2 # minor tick size in points#xtick.major.width : 0.5 # major tick width in points#xtick.minor.width : 0.5 # minor tick width in points#xtick.major.pad : 4 # distance to major tick label in points#xtick.minor.pad : 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 : in # direction: in, out, or inout
#ytick.major.size : 4 # major tick size in points#ytick.minor.size : 2 # minor tick size in points#ytick.major.width : 0.5 # major tick width in points#ytick.minor.width : 0.5 # minor tick width in points#ytick.major.pad : 4 # distance to major tick label in points#ytick.minor.pad : 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 : in # direction: in, out, or inout
### GRIDS#grid.color : black # grid color#grid.linestyle : : # dotted#grid.linewidth : 0.5 # in pointsgrid.alpha : 0.4 # transparency, between 0.0 and 1.0
### Legend#legend.fancybox : False # if True, use a rounded box for the # legend, else a rectangle#legend.isaxes : True#legend.numpoints : 2 # the number of points in the legend line#legend.fontsize : large#legend.borderpad : 0.5 # border whitespace in fontsize units#legend.markerscale : 1.0 # the relative size of legend markers vs. original# the following dimensions are in axes coords#legend.labelspacing : 0.5 # the vertical space between the legend entries in fraction of fontsize#legend.handlelength : 2. # the length of the legend lines in fraction of fontsize#legend.handleheight : 0.7 # the height of the legend handle in fraction of fontsize#legend.handletextpad : 0.8 # the space between the legend line and legend text in fraction of fontsize#legend.borderaxespad : 0.5 # the border between the axes and legend edge in fraction of fontsize#legend.columnspacing : 2. # the border between the axes and legend edge in fraction of fontsize#legend.shadow : False#legend.frameon : True # whether or not to draw a frame around legend#legend.framealpha : None # opacity of of legend frame#legend.scatterpoints : 3 # number of scatter points
### FIGURE# See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure#figure.titlesize : medium # size of the figure title#figure.titleweight : normal # weight of the figure title#figure.figsize : 8, 6 # figure size in inches#figure.dpi : 80 # figure dots per inch#figure.facecolor : 0.75 # figure facecolor; 0.75 is scalar gray#figure.edgecolor : white # figure edgecolor#figure.autolayout : False # 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 width or 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 : 0.1 # the bottom of the subplots of the figure#figure.subplot.top : 0.9 # the top of the subplots of the figure#figure.subplot.wspace : 0.2 # the amount of width reserved for blank space between subplots#figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots
### IMAGES#image.aspect : equal # equal | auto | a number#image.interpolation : bilinear # see help(imshow) for options#image.cmap : jet # gray | jet etc...#image.lut : 256 # the size of the colormap lookup table#image.origin : upper # lower | upper#image.resample : False#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 : 3 # length of end cap on error bars in pixels
### 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 : 100 # figure dots per inch#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' 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 : 0.1 # 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
# 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.image_noscale : False # suppress scaling of raster data embedded in SVG#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
# 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 # 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 : mpeg4 # 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.
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