文章目錄

• • • from `__init__.py`
    • from matplotlibrc
    • from rcsetup.py

from __init__.py

# this is the instance used by the matplotlib classes # 這是matplotlib類使用的實例 rcParams = rc_params()# Don't trigger deprecation warning when just fetching. # 提取時不要觸發棄用警告。 if dict.__getitem__(rcParams, 'examples.directory'):# paths that are intended to be relative to matplotlib_fname()# are allowed for the examples.directory parameter.# However, we will need to fully qualify the path because# Sphinx requires absolute paths.# examples.directory參數允許使用與matplotlib_fname（）相關的路徑。 # 但是，由于Sphinx需要絕對路徑，因此我們需要完全限定路徑。if not os.path.isabs(rcParams['examples.directory']):_basedir, _fname = os.path.split(matplotlib_fname())# Sometimes matplotlib_fname() can return relative paths,# Also, using realpath() guarantees that Sphinx will use# the same path that matplotlib sees (in case of weird symlinks).# 有時matplotlib_fname（）可以返回相對路徑，# 而且，使用realpath（）可以保證Sphinx將使用與matplotlib所看到的相同的路徑# （在奇怪的符號鏈接的情況下）。_basedir = os.path.realpath(_basedir)_fullpath = os.path.join(_basedir, rcParams['examples.directory'])rcParams['examples.directory'] = _fullpath def rc_params(fail_on_error=False):"""Return a :class:`matplotlib.RcParams` instance from thedefault matplotlib rc file.從默認的matplotlib rc文件返回一個：class：`matplotlib.RcParams`實例。"""return rc_params_from_file(matplotlib_fname(), fail_on_error)

from matplotlibrc

#### 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 - a scalar ## grayscale intensity such as 0.75 - a legal html color name, e.g., red, ## blue, darkslategray##### CONFIGURATION BEGINS HERE## 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: TkAgg ## 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 : 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 ("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 : 1.5 ## 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 markerfacecolor #lines.markeredgecolor : auto ## the default markeredgecolor #lines.markeredgewidth : 1.0 ## the line width around the marker symbol #lines.markersize : 6 ## markersize, 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 ## http://matplotlib.org/api/artist_api.html#module-matplotlib.patches ## 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## 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. ## 10 pt is the standard value.#font.family : sans-serif #font.style : normal #font.variant : normal #font.weight : normal #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 : 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 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 ## 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.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.## 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 : 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 ## 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.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 or both ticks #axes.titlesize : large ## fontsize of the axes title #axes.titleweight : normal ## font weight of title #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'); or above all (False) #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.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## http://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## Note the use of string escapes here ('1f77b4', instead of 1f77b4)## as opposed to the rest of this file. #axes.autolimit_mode : data ## How to scale axes limits to the data.## Use "data" to use data limits, plus some margin## Use "round_number" 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 using '%%x' will use the locale date representation ## '%%X' will use the locale time representation and '%%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 http://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, or 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, or 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 http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure #figure.titlesize : large ## size of the figure title (Figure.suptitle()) #figure.titleweight : normal ## weight of the figure title #figure.figsize : 6.4, 4.8 ## figure size in inches #figure.dpi : 100 ## figure dots per inch #figure.facecolor : white ## figure facecolor #figure.edgecolor : white ## figure edgecolor #figure.frameon : True ## enable figure frame #figure.max_open_warning : 20 ## The maximum number of figures to open through## the pyplot interface before emitting a warning.## If less than one this feature is disabled. ## The figure subplot parameters. All dimensions are a fraction of the #figure.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 | a number #image.interpolation : nearest ## 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.## If Numpy 1.11 or later is## installed, may also be `auto`#### SCATTER PLOTS #scatter.marker : o ## The default marker type for scatter plots. #scatter.edgecolors : face ## The default edgecolors for scatter plots.#### Agg rendering #### Warning: experimental, 2008/10/10 #agg.path.chunksize : 0 ## 0 to disable; values in the range## 10000 to 100000 can improve speed slightly## and prevent an Agg rendering failure## when plotting very large data sets,## especially if they are very gappy.## It may cause minor artifacts, though.## A value of 20000 is probably a good## starting point. #### PATHS #path.simplify : True ## When True, simplify paths by removing "invisible"## points to reduce file size and increase rendering## speed #path.simplify_threshold : 0.111111111111 ## The threshold of similarity below which## vertices will be removed in the## simplification process #path.snap : True ## When True, rectilinear axis-aligned paths will be snapped to## the nearest pixel when certain criteria are met. When False,## paths will never be snapped. #path.sketch : None ## May be none, or a 3-tuple of the form (scale, length,## randomness).## *scale* is the amplitude of the wiggle## perpendicular to the line (in pixels). *length*## is the length of the wiggle along the line (in## pixels). *randomness* is the factor by which## the length is randomly scaled. #path.effects : [] ###### SAVING FIGURES ## the default savefig params can be different from the display params ## e.g., you may want a higher resolution, or to make the figure ## background white #savefig.dpi : figure ## figure dots per inch or 'figure' #savefig.facecolor : white ## figure facecolor when saving #savefig.edgecolor : white ## figure edgecolor when saving #savefig.format : png ## png, ps, pdf, svg #savefig.bbox : standard ## 'tight' 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 #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 ## 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) #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:## none: Assume fonts are installed on the machine where the SVG will be viewed.## path: Embed characters as paths -- supported by most SVG renderers #svg.hashsalt : None ## if not None, use this string as hash salt## instead of uuid4 ### pgf parameter #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## 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, 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 settings #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)

from rcsetup.py

說實話這么多，我咋知道要設置哪個參數？？？？？？？？？？？？？？？？？？？

# a map from key -> value, converter defaultParams = {'backend': [_auto_backend_sentinel, validate_backend],'backend_fallback': [True, validate_bool],'webagg.port': [8988, validate_int],'webagg.address': ['127.0.0.1', validate_webagg_address],'webagg.open_in_browser': [True, validate_bool],'webagg.port_retries': [50, validate_int],'toolbar': ['toolbar2', validate_toolbar],'datapath': [None, validate_path_exists], # handled by# _get_data_path_cached'interactive': [False, validate_bool],'timezone': ['UTC', validate_string],# the verbosity setting'verbose.level': ['silent', _validate_verbose],'verbose.fileo': ['sys.stdout', validate_string],# line props'lines.linewidth': [1.5, validate_float], # line width in points'lines.linestyle': ['-', _validate_linestyle], # solid line'lines.color': ['C0', validate_color], # first color in color cycle'lines.marker': ['None', validate_string], # marker name'lines.markerfacecolor': ['auto', validate_color_or_auto], # default color'lines.markeredgecolor': ['auto', validate_color_or_auto], # default color'lines.markeredgewidth': [1.0, validate_float],'lines.markersize': [6, validate_float], # markersize, in points'lines.antialiased': [True, validate_bool], # antialiased (no jaggies)'lines.dash_joinstyle': ['round', validate_joinstyle],'lines.solid_joinstyle': ['round', validate_joinstyle],'lines.dash_capstyle': ['butt', validate_capstyle],'lines.solid_capstyle': ['projecting', validate_capstyle],'lines.dashed_pattern': [[3.7, 1.6], validate_nseq_float(allow_none=True)],'lines.dashdot_pattern': [[6.4, 1.6, 1, 1.6],validate_nseq_float(allow_none=True)],'lines.dotted_pattern': [[1, 1.65], validate_nseq_float(allow_none=True)],'lines.scale_dashes': [True, validate_bool],# marker props'markers.fillstyle': ['full', validate_fillstyle],## patch props'patch.linewidth': [1.0, validate_float], # line width in points'patch.edgecolor': ['black', validate_color],'patch.force_edgecolor': [False, validate_bool],'patch.facecolor': ['C0', validate_color], # first color in cycle'patch.antialiased': [True, validate_bool], # antialiased (no jaggies)## hatch props'hatch.color': ['black', validate_color],'hatch.linewidth': [1.0, validate_float],## Histogram properties'hist.bins': [10, validate_hist_bins],## Boxplot properties'boxplot.notch': [False, validate_bool],'boxplot.vertical': [True, validate_bool],'boxplot.whiskers': [1.5, validate_whiskers],'boxplot.bootstrap': [None, validate_int_or_None],'boxplot.patchartist': [False, validate_bool],'boxplot.showmeans': [False, validate_bool],'boxplot.showcaps': [True, validate_bool],'boxplot.showbox': [True, validate_bool],'boxplot.showfliers': [True, validate_bool],'boxplot.meanline': [False, validate_bool],'boxplot.flierprops.color': ['black', validate_color],'boxplot.flierprops.marker': ['o', validate_string],'boxplot.flierprops.markerfacecolor': ['none', validate_color_or_auto],'boxplot.flierprops.markeredgecolor': ['black', validate_color],'boxplot.flierprops.markeredgewidth': [1.0, validate_float],'boxplot.flierprops.markersize': [6, validate_float],'boxplot.flierprops.linestyle': ['none', _validate_linestyle],'boxplot.flierprops.linewidth': [1.0, validate_float],'boxplot.boxprops.color': ['black', validate_color],'boxplot.boxprops.linewidth': [1.0, validate_float],'boxplot.boxprops.linestyle': ['-', _validate_linestyle],'boxplot.whiskerprops.color': ['black', validate_color],'boxplot.whiskerprops.linewidth': [1.0, validate_float],'boxplot.whiskerprops.linestyle': ['-', _validate_linestyle],'boxplot.capprops.color': ['black', validate_color],'boxplot.capprops.linewidth': [1.0, validate_float],'boxplot.capprops.linestyle': ['-', _validate_linestyle],'boxplot.medianprops.color': ['C1', validate_color],'boxplot.medianprops.linewidth': [1.0, validate_float],'boxplot.medianprops.linestyle': ['-', _validate_linestyle],'boxplot.meanprops.color': ['C2', validate_color],'boxplot.meanprops.marker': ['^', validate_string],'boxplot.meanprops.markerfacecolor': ['C2', validate_color],'boxplot.meanprops.markeredgecolor': ['C2', validate_color],'boxplot.meanprops.markersize': [6, validate_float],'boxplot.meanprops.linestyle': ['--', _validate_linestyle],'boxplot.meanprops.linewidth': [1.0, validate_float],## font props'font.family': [['sans-serif'], validate_stringlist], # used by text object'font.style': ['normal', validate_string],'font.variant': ['normal', validate_string],'font.stretch': ['normal', validate_string],'font.weight': ['normal', validate_string],'font.size': [10, validate_float], # Base font size in points'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'],validate_stringlist],'font.sans-serif': [['DejaVu Sans', 'Bitstream Vera Sans','Computer Modern Sans Serif','Lucida Grande', 'Verdana', 'Geneva', 'Lucid','Arial', 'Helvetica', 'Avant Garde', 'sans-serif'],validate_stringlist],'font.cursive': [['Apple Chancery', 'Textile', 'Zapf Chancery','Sand', 'Script MT', 'Felipa', 'cursive'],validate_stringlist],'font.fantasy': [['Comic Sans MS', 'Chicago', 'Charcoal', 'Impact','Western', 'Humor Sans', 'xkcd', 'fantasy'],validate_stringlist],'font.monospace': [['DejaVu Sans Mono', 'Bitstream Vera Sans Mono','Computer Modern Typewriter','Andale Mono', 'Nimbus Mono L', 'Courier New','Courier', 'Fixed', 'Terminal', 'monospace'],validate_stringlist],# text props'text.color': ['black', validate_color],'text.usetex': [False, validate_bool],'text.latex.unicode': [True, validate_bool],'text.latex.preamble': ['', _validate_tex_preamble],'text.latex.preview': [False, validate_bool],'text.hinting': ['auto', validate_hinting],'text.hinting_factor': [8, validate_int],'text.antialiased': [True, validate_bool],'mathtext.cal': ['cursive', validate_font_properties],'mathtext.rm': ['sans', validate_font_properties],'mathtext.tt': ['monospace', validate_font_properties],'mathtext.it': ['sans:italic', validate_font_properties],'mathtext.bf': ['sans:bold', validate_font_properties],'mathtext.sf': ['sans', validate_font_properties],'mathtext.fontset': ['dejavusans', validate_fontset],'mathtext.default': ['it', validate_mathtext_default],'mathtext.fallback_to_cm': [True, validate_bool],'image.aspect': ['equal', validate_aspect], # equal, auto, a number'image.interpolation': ['nearest', validate_string],'image.cmap': ['viridis', validate_string], # gray, jet, etc.'image.lut': [256, validate_int], # lookup table'image.origin': ['upper',ValidateInStrings('image.origin', ['upper', 'lower'])],'image.resample': [True, validate_bool],# Specify whether vector graphics backends will combine all images on a# set of axes into a single composite image'image.composite_image': [True, validate_bool],# contour props'contour.negative_linestyle': ['dashed', _validate_linestyle],'contour.corner_mask': [True, validate_bool],# errorbar props'errorbar.capsize': [0, validate_float],# axes props'axes.axisbelow': ['line', validate_axisbelow],'axes.facecolor': ['white', validate_color], # background color'axes.edgecolor': ['black', validate_color], # edge color'axes.linewidth': [0.8, validate_float], # edge linewidth'axes.spines.left': [True, validate_bool], # Set visibility of axes'axes.spines.right': [True, validate_bool], # 'spines', the lines'axes.spines.bottom': [True, validate_bool], # around the chart'axes.spines.top': [True, validate_bool], # denoting data boundary'axes.titlesize': ['large', validate_fontsize], # fontsize of the# axes title'axes.titleweight': ['normal', validate_string], # font weight of axes title'axes.titlepad': [6.0, validate_float], # pad from axes top to title in points'axes.grid': [False, validate_bool], # display grid or not'axes.grid.which': ['major', validate_axis_locator], # set whether the gid are by# default draw on 'major'# 'minor' or 'both' kind of# axis locator'axes.grid.axis': ['both', validate_grid_axis], # grid type:# 'x', 'y', or 'both''axes.labelsize': ['medium', validate_fontsize], # fontsize of the# x any y labels'axes.labelpad': [4.0, validate_float], # space between label and axis'axes.labelweight': ['normal', validate_string], # fontsize of the x any y labels'axes.labelcolor': ['black', validate_color], # color of axis label'axes.formatter.limits': [[-7, 7], validate_nseq_int(2)],# use scientific notation if log10# of the axis range is smaller than the# first or larger than the second'axes.formatter.use_locale': [False, validate_bool],# Use the current locale to format ticks'axes.formatter.use_mathtext': [False, validate_bool],'axes.formatter.min_exponent': [0, validate_int], # minimum exponent to format in scientific notation'axes.formatter.useoffset': [True, validate_bool],'axes.formatter.offset_threshold': [4, validate_int],'axes.unicode_minus': [True, validate_bool],# This entry can be either a cycler object or a# string repr of a cycler-object, which gets eval()'ed# to create the object.'axes.prop_cycle': [ccycler('color',['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728','#9467bd', '#8c564b', '#e377c2', '#7f7f7f','#bcbd22', '#17becf']),validate_cycler],# If 'data', axes limits are set close to the data.# If 'round_numbers' axes limits are set to the nearest round numbers.'axes.autolimit_mode': ['data',ValidateInStrings('autolimit_mode', ['data', 'round_numbers'])],'axes.xmargin': [0.05, ValidateInterval(0, 1,closedmin=True,closedmax=True)], # margin added to xaxis'axes.ymargin': [0.05, ValidateInterval(0, 1,closedmin=True,closedmax=True)], # margin added to yaxis'polaraxes.grid': [True, validate_bool], # display polar grid or# not'axes3d.grid': [True, validate_bool], # display 3d grid# scatter props'scatter.marker': ['o', validate_string],'scatter.edgecolors': ['face', validate_string],# TODO validate that these are valid datetime format strings'date.autoformatter.year': ['%Y', validate_string],'date.autoformatter.month': ['%Y-%m', validate_string],'date.autoformatter.day': ['%Y-%m-%d', validate_string],'date.autoformatter.hour': ['%m-%d %H', validate_string],'date.autoformatter.minute': ['%d %H:%M', validate_string],'date.autoformatter.second': ['%H:%M:%S', validate_string],'date.autoformatter.microsecond': ['%M:%S.%f', validate_string],#legend properties'legend.fancybox': [True, validate_bool],'legend.loc': ['best', validate_legend_loc],# the number of points in the legend line'legend.numpoints': [1, validate_int],# the number of points in the legend line for scatter'legend.scatterpoints': [1, validate_int],'legend.fontsize': ['medium', validate_fontsize],'legend.title_fontsize': [None, validate_fontsize_None],# the relative size of legend markers vs. original'legend.markerscale': [1.0, validate_float],'legend.shadow': [False, validate_bool],# whether or not to draw a frame around legend'legend.frameon': [True, validate_bool],# alpha value of the legend frame'legend.framealpha': [0.8, validate_float_or_None],## the following dimensions are in fraction of the font size'legend.borderpad': [0.4, validate_float], # units are fontsize# the vertical space between the legend entries'legend.labelspacing': [0.5, validate_float],# the length of the legend lines'legend.handlelength': [2., validate_float],# the length of the legend lines'legend.handleheight': [0.7, validate_float],# the space between the legend line and legend text'legend.handletextpad': [.8, validate_float],# the border between the axes and legend edge'legend.borderaxespad': [0.5, validate_float],# the border between the axes and legend edge'legend.columnspacing': [2., validate_float],'legend.facecolor': ['inherit', validate_color_or_inherit],'legend.edgecolor': ['0.8', validate_color_or_inherit],# tick properties'xtick.top': [False, validate_bool], # draw ticks on the top side'xtick.bottom': [True, validate_bool], # draw ticks on the bottom side'xtick.labeltop': [False, validate_bool], # draw label on the top'xtick.labelbottom': [True, validate_bool], # draw label on the bottom'xtick.major.size': [3.5, validate_float], # major xtick size in points'xtick.minor.size': [2, validate_float], # minor xtick size in points'xtick.major.width': [0.8, validate_float], # major xtick width in points'xtick.minor.width': [0.6, validate_float], # minor xtick width in points'xtick.major.pad': [3.5, validate_float], # distance to label in points'xtick.minor.pad': [3.4, validate_float], # distance to label in points'xtick.color': ['black', validate_color], # color of the xtick labels'xtick.minor.visible': [False, validate_bool], # visibility of the x axis minor ticks'xtick.minor.top': [True, validate_bool], # draw x axis top minor ticks'xtick.minor.bottom': [True, validate_bool], # draw x axis bottom minor ticks'xtick.major.top': [True, validate_bool], # draw x axis top major ticks'xtick.major.bottom': [True, validate_bool], # draw x axis bottom major ticks# fontsize of the xtick labels'xtick.labelsize': ['medium', validate_fontsize],'xtick.direction': ['out', validate_string], # direction of xticks'xtick.alignment': ["center", _validate_alignment],'ytick.left': [True, validate_bool], # draw ticks on the left side'ytick.right': [False, validate_bool], # draw ticks on the right side'ytick.labelleft': [True, validate_bool], # draw tick labels on the left side'ytick.labelright': [False, validate_bool], # draw tick labels on the right side'ytick.major.size': [3.5, validate_float], # major ytick size in points'ytick.minor.size': [2, validate_float], # minor ytick size in points'ytick.major.width': [0.8, validate_float], # major ytick width in points'ytick.minor.width': [0.6, validate_float], # minor ytick width in points'ytick.major.pad': [3.5, validate_float], # distance to label in points'ytick.minor.pad': [3.4, validate_float], # distance to label in points'ytick.color': ['black', validate_color], # color of the ytick labels'ytick.minor.visible': [False, validate_bool], # visibility of the y axis minor ticks'ytick.minor.left': [True, validate_bool], # draw y axis left minor ticks'ytick.minor.right': [True, validate_bool], # draw y axis right minor ticks'ytick.major.left': [True, validate_bool], # draw y axis left major ticks'ytick.major.right': [True, validate_bool], # draw y axis right major ticks# fontsize of the ytick labels'ytick.labelsize': ['medium', validate_fontsize],'ytick.direction': ['out', validate_string], # direction of yticks'ytick.alignment': ["center_baseline", _validate_alignment],'grid.color': ['#b0b0b0', validate_color], # grid color'grid.linestyle': ['-', _validate_linestyle], # solid'grid.linewidth': [0.8, validate_float], # in points'grid.alpha': [1.0, validate_float],## figure props# figure title'figure.titlesize': ['large', validate_fontsize],'figure.titleweight': ['normal', validate_string],# figure size in inches: width by height'figure.figsize': [[6.4, 4.8], validate_nseq_float(2)],'figure.dpi': [100, validate_float], # DPI'figure.facecolor': ['white', validate_color],'figure.edgecolor': ['white', validate_color],'figure.frameon': [True, validate_bool],'figure.autolayout': [False, validate_bool],'figure.max_open_warning': [20, validate_int],'figure.subplot.left': [0.125, ValidateInterval(0, 1, closedmin=True,closedmax=True)],'figure.subplot.right': [0.9, ValidateInterval(0, 1, closedmin=True,closedmax=True)],'figure.subplot.bottom': [0.11, ValidateInterval(0, 1, closedmin=True,closedmax=True)],'figure.subplot.top': [0.88, ValidateInterval(0, 1, closedmin=True,closedmax=True)],'figure.subplot.wspace': [0.2, ValidateInterval(0, 1, closedmin=True,closedmax=False)],'figure.subplot.hspace': [0.2, ValidateInterval(0, 1, closedmin=True,closedmax=False)],# do constrained_layout.'figure.constrained_layout.use': [False, validate_bool],# wspace and hspace are fraction of adjacent subplots to use# for space. Much smaller than above because we don't need# room for the text.'figure.constrained_layout.hspace': [0.02, ValidateInterval(0, 1, closedmin=True, closedmax=False)],'figure.constrained_layout.wspace': [0.02, ValidateInterval(0, 1, closedmin=True, closedmax=False)],# This is a buffer around the axes in inches. This is 3pts.'figure.constrained_layout.h_pad': [0.04167, validate_float],'figure.constrained_layout.w_pad': [0.04167, validate_float],## Saving figure's properties'savefig.dpi': ['figure', validate_dpi], # DPI'savefig.facecolor': ['white', validate_color],'savefig.edgecolor': ['white', validate_color],'savefig.frameon': [True, validate_bool],'savefig.orientation': ['portrait', validate_orientation],'savefig.jpeg_quality': [95, validate_int],# value checked by backend at runtime'savefig.format': ['png', update_savefig_format],# options are 'tight', or 'standard'. 'standard' validates to None.'savefig.bbox': ['standard', validate_bbox],'savefig.pad_inches': [0.1, validate_float],# default directory in savefig dialog box'savefig.directory': ['~', validate_string],'savefig.transparent': [False, validate_bool],# Maintain shell focus for TkAgg'tk.window_focus': [False, validate_bool],# Set the papersize/type'ps.papersize': ['letter', validate_ps_papersize],'ps.useafm': [False, validate_bool],# use ghostscript or xpdf to distill ps output'ps.usedistiller': [False, validate_ps_distiller],'ps.distiller.res': [6000, validate_int], # dpi'ps.fonttype': [3, validate_fonttype], # 3 (Type3) or 42 (Truetype)# compression level from 0 to 9; 0 to disable'pdf.compression': [6, validate_int],# ignore any color-setting commands from the frontend'pdf.inheritcolor': [False, validate_bool],# use only the 14 PDF core fonts embedded in every PDF viewing application'pdf.use14corefonts': [False, validate_bool],'pdf.fonttype': [3, validate_fonttype], # 3 (Type3) or 42 (Truetype)'pgf.debug': [False, validate_bool], # output debug information# choose latex application for creating pdf files (xelatex/lualatex)'pgf.texsystem': ['xelatex', validate_pgf_texsystem],# use matplotlib rc settings for font configuration'pgf.rcfonts': [True, validate_bool],# provide a custom preamble for the latex process'pgf.preamble': ['', _validate_tex_preamble],# write raster image data directly into the svg file'svg.image_inline': [True, validate_bool],# True to save all characters as paths in the SVG'svg.fonttype': ['path', validate_svg_fonttype],'svg.hashsalt': [None, validate_string_or_None],# set this when you want to generate hardcopy docstring'docstring.hardcopy': [False, validate_bool],'path.simplify': [True, validate_bool],'path.simplify_threshold': [1.0 / 9.0, ValidateInterval(0.0, 1.0)],'path.snap': [True, validate_bool],'path.sketch': [None, validate_sketch],'path.effects': [[], validate_any],'agg.path.chunksize': [0, validate_int], # 0 to disable chunking;# key-mappings (multi-character mappings should be a list/tuple)'keymap.fullscreen': [['f', 'ctrl+f'], validate_stringlist],'keymap.home': [['h', 'r', 'home'], validate_stringlist],'keymap.back': [['left', 'c', 'backspace', 'MouseButton.BACK'],validate_stringlist],'keymap.forward': [['right', 'v', 'MouseButton.FORWARD'],validate_stringlist],'keymap.pan': [['p'], validate_stringlist],'keymap.zoom': [['o'], validate_stringlist],'keymap.save': [['s', 'ctrl+s'], validate_stringlist],'keymap.quit': [['ctrl+w', 'cmd+w', 'q'], validate_stringlist],'keymap.quit_all': [['W', 'cmd+W', 'Q'], validate_stringlist],'keymap.grid': [['g'], validate_stringlist],'keymap.grid_minor': [['G'], validate_stringlist],'keymap.yscale': [['l'], validate_stringlist],'keymap.xscale': [['k', 'L'], validate_stringlist],'keymap.all_axes': [['a'], validate_stringlist],'keymap.help': [['f1'], validate_stringlist],'keymap.copy': [['ctrl+c', 'cmd+c'], validate_stringlist],# sample data'examples.directory': ['', validate_string],# Animation settings'animation.html': ['none', validate_movie_html_fmt],# Limit, in MB, of size of base64 encoded animation in HTML# (i.e. IPython notebook)'animation.embed_limit': [20, validate_float],'animation.writer': ['ffmpeg', validate_movie_writer],'animation.codec': ['h264', validate_string],'animation.bitrate': [-1, validate_int],# Controls image format when frames are written to disk'animation.frame_format': ['png', validate_movie_frame_fmt],# Additional arguments for HTML writer'animation.html_args': [[], validate_stringlist],# Path to ffmpeg binary. If just binary name, subprocess uses $PATH.'animation.ffmpeg_path': ['ffmpeg', validate_animation_writer_path],# Additional arguments for ffmpeg movie writer (using pipes)'animation.ffmpeg_args': [[], validate_stringlist],# Path to AVConv binary. If just binary name, subprocess uses $PATH.'animation.avconv_path': ['avconv', validate_animation_writer_path],# Additional arguments for avconv movie writer (using pipes)'animation.avconv_args': [[], validate_stringlist],# Path to convert binary. If just binary name, subprocess uses $PATH.'animation.convert_path': ['convert', validate_animation_writer_path],# Additional arguments for convert movie writer (using pipes)'animation.convert_args': [[], validate_stringlist],# Classic (pre 2.0) compatibility mode# This is used for things that are hard to make backward compatible# with a sane rcParam alone. This does *not* turn on classic mode# altogether. For that use `matplotlib.style.use('classic')`.'_internal.classic_mode': [False, validate_bool] }

參考文章1: plt.rcParams[]
https://www.cnblogs.com/pacino12134/p/9776882.html

參考文章2: matplotlib：plt.rcParams設置畫圖的分辨率，大小等信息
https://www.cnblogs.com/yxh-amysear/p/9501238.html

參考文章3: Python繪圖問題：Matplotlib中rcParams使用
https://blog.csdn.net/liangzuojiayi/article/details/78184687

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