#### 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 ## *************************************************************************** ## * LINES * ## *************************************************************************** ## See https://matplotlib.org/api/artist_api.html#module-matplotlib.lines ## for more information on line properties. lines.linewidth : 2 ## 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 : 14.0 #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 : True ## 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 : 16 ## 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 : 15 ## 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 : True ## 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']) ## cycler('color', ['18453b', 'f08521', '008183', '6e005f', '535054', 'd1de3f', '0db14b', 'c89a58', '909ab7', 'e8d9b5', '94ae4a', 'cb5a28']) ## 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 : 14 ## 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 : 14 ## 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 : white #b0b0b0 ## grid color grid.linestyle : -- ## solid #grid.linewidth : 0.8 ## in points grid.alpha : 0.3 ## 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 : white #inherit ## inherit from axes.facecolor; or color spec legend.edgecolor : black ## 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 : 14 #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 : 16 ## size of the figure title (``Figure.suptitle()``) #figure.titleweight : normal ## weight of the figure title figure.figsize : 10, 7 ## 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 : True ## 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 : 300 #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