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#### MATPLOTLIBRC FORMAT ## NOTE FOR END USERS: DO NOT EDIT THIS FILE! ## ## 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). ## ## You should find a copy of it on your system at ## site-packages/matplotlib/mpl-data/matplotlibrc (relative to your Python ## installation location). DO NOT EDIT IT! ## ## If you wish to change your default style, copy this file to 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 ## and edit that copy. ## ## 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 Gtk3Agg TkAgg WxAgg Agg ## Other choices include: ## Qt5Cairo GTK3Cairo TkCairo WxCairo Cairo ## Qt4Agg Qt4Cairo Wx # deprecated. ## 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 (Proprietary Matplotlib-specific synonyms are given in parentheses, ## but their use is discouraged): ## - 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 (e.g. 'ffmpeg') but will work with those # based on temporary files (e.g. 'ffmpeg_file') #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