#-*- coding:utf-8 -*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
from matplotlib.font_manager import fontManager
import os
print"os.path=",os.pathprint"-------------------下面看下matplotlib當前支持哪些中文字體--------------"
fonts = [font.name for font in fontManager.ttflist if os.path.exists(font.fname) and os.stat(font.fname).st_size>1e6] for font in fonts:print(font)print"-------------------下面測試matplotlib能否正常顯示中文--------------"
import matplotlib.pyplot as plt
import matplotlib
# matplotlib.rcParams['font.sans-serif'] = 'HYQuanTangShiF,Times New Roman'
plt.plot((1,2,3),(4,3,-1))
plt.xlabel('橫坐標')
plt.ylabel(u'縱坐標')
plt.show()
### 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; one of GTK GTKAgg GTKCairo GTK3Agg GTK3Cairo
# MacOSX Qt4Agg Qt5Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG
# Template.
# You can also deploy your own backend outside of matplotlib by
# referring to the module name (which must be in the PYTHONPATH) as
# 'module://my_backend'.
backend : TkAgg# If you are using the Qt4Agg backend, you can choose here
# to use the PyQt4 bindings or the newer PySide bindings to
# the underlying Qt4 toolkit.
#backend.qt4 : PyQt4 # PyQt4 | PySide# Note that this can be overridden by the environment variable
# QT_API used by Enthought Tool Suite (ETS); valid values are
# "pyqt" and "pyside". The "pyqt" setting has the side effect of
# forcing the use of Version 2 API for QString and QVariant.# The port to use for the web server in the WebAgg backend.
# webagg.port : 8888# If webagg.port is unavailable, a number of other random ports will
# be tried until one that is available is found.
# webagg.port_retries : 50# When True, open the webbrowser to the plot that is shown
# webagg.open_in_browser : True# When True, the figures rendered in the nbagg backend are created with
# a transparent background.
# nbagg.transparent : False# 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.markeredgewidth : 1.0 # the line width around the marker symbol
#lines.markersize : 6 # markersize, in points
#lines.dash_joinstyle : miter # miter|round|bevel
#lines.dash_capstyle : butt # butt|round|projecting
#lines.solid_joinstyle : miter # miter|round|bevel
#lines.solid_capstyle : projecting # butt|round|projecting
#lines.antialiased : True # render lines in antialiased (no jaggies)# The three standard dash patterns. These are scaled by the linewidth.
#lines.dashed_pattern : 2.8, 1.2
#lines.dashdot_pattern : 4.8, 1.2, 0.8, 1.2
#lines.dotted_pattern : 1.1, 1.1
#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 : k
#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 : 'k'
#boxplot.flierprops.marker : 'o'
#boxplot.flierprops.markerfacecolor : 'none'
#boxplot.flierprops.markeredgecolor : 'k'
#boxplot.flierprops.markersize : 6
#boxplot.flierprops.linestyle : 'none'
#boxplot.flierprops.linewidth : 1.0#boxplot.boxprops.color : 'k'
#boxplot.boxprops.linewidth : 1.0
#boxplot.boxprops.linestyle : '-'#boxplot.whiskerprops.color : 'k'
#boxplot.whiskerprops.linewidth : 1.0
#boxplot.whiskerprops.linestyle : '-'#boxplot.capprops.color : 'k'
#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 : 'none'
#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 : medium
font.stretch : normal
# note that font.size controls default text sizes. To configure
# special text sizes tick labels, axes, labels, title, etc, see the rc
# settings for axes and ticks. Special text sizes can be defined
# relative to font.size, using the following values: xx-small, x-small,
# small, medium, large, x-large, xx-large, larger, or smaller
#font.size : 10.0
#font.serif : DejaVu Serif, Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
font.sans-serif : HYQuanTangShiF,Times New Roman
#font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive
#font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, Humor Sans, xkcd, fantasy
#font.monospace : DejaVu Sans Mono, Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace### TEXT
# text properties used by text.Text. See
# http://matplotlib.org/api/artist_api.html#module-matplotlib.text for more
# information on text properties#text.color : black### LaTeX customizations. See http://wiki.scipy.org/Cookbook/Matplotlib/UsingTex
#text.usetex : False # use latex for all text handling. The following fonts# are supported through the usual rc parameter settings:# new century schoolbook, bookman, times, palatino,# zapf chancery, charter, serif, sans-serif, helvetica,# avant garde, courier, monospace, computer modern roman,# computer modern sans serif, computer modern typewriter# If another font is desired which can loaded using the# LaTeX \usepackage command, please inquire at the# matplotlib mailing list
#text.latex.unicode : False # use "ucs" and "inputenc" LaTeX packages for handling# unicode strings.
#text.latex.preamble : # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES# AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP# IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.# preamble is a comma separated list of LaTeX statements# that are included in the LaTeX document preamble.# An example:# text.latex.preamble : \usepackage{bm},\usepackage{euler}# The following packages are always loaded with usetex, so# beware of package collisions: color, geometry, graphicx,# type1cm, textcomp. Adobe Postscript (PSSNFS) font packages# may also be loaded, depending on your font settings#text.dvipnghack : None # some versions of dvipng don't handle alpha# channel properly. Use True to correct# and flush ~/.matplotlib/tex.cache# before testing and False to force# correction off. None will try and# guess based on your dvipng version#text.hinting : auto # May be one of the following:# 'none': Perform no hinting# 'auto': Use FreeType's autohinter# 'native': Use the hinting information in the# font file, if available, and if your# FreeType library supports it# 'either': Use the native hinting information,# or the autohinter if none is available.# For backward compatibility, this value may also be# True === 'auto' or False === 'none'.
#text.hinting_factor : 8 # Specifies the amount of softness for hinting in the# horizontal direction. A value of 1 will hint to full# pixels. A value of 2 will hint to half pixels etc.#text.antialiased : True # If True (default), the text will be antialiased.# This only affects the Agg backend.# The following settings allow you to select the fonts in math mode.
# They map from a TeX font name to a fontconfig font pattern.
# These settings are only used if mathtext.fontset is 'custom'.
# Note that this "custom" mode is unsupported and may go away in the
# future.
#mathtext.cal : cursive
#mathtext.rm : serif
#mathtext.tt : monospace
#mathtext.it : serif:italic
#mathtext.bf : serif:bold
#mathtext.sf : sans
#mathtext.fontset : 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.titlesize : large # fontsize of the axes 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.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
#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.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 : k # 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#ytick.left : True # draw ticks on the left side
#ytick.right : False # draw ticks 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 : k # 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### 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
# 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; 0.75 is scalar gray
#figure.edgecolor : white # figure edgecolor
#figure.autolayout : False # When True, automatically adjust subplot# parameters to make the plot fit the figure
#figure.max_open_warning : 20 # The maximum number of figures to open through# the pyplot interface before emitting a warning.# If less than one this feature is disabled.# The figure subplot parameters. All dimensions are a fraction of the
#figure.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 blank space between subplots,# expressed as a fraction of the average axis width
#figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots,# expressed as a fraction of the average axis height### 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 # dashed | solid
#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.### Agg rendering
### Warning: experimental, 2008/10/10
#agg.path.chunksize : 0 # 0 to disable; values in the range# 10000 to 100000 can improve speed slightly# and prevent an Agg rendering failure# when plotting very large data sets,# especially if they are very gappy.# It may cause minor artifacts, though.# A value of 20000 is probably a good# starting point.
### SAVING FIGURES
#path.simplify : True # When True, simplify paths by removing "invisible"# points to reduce file size and increase rendering# speed
#path.simplify_threshold : 0.1 # The threshold of similarity below which# vertices will be removed in the simplification# process
#path.snap : True # When True, rectilinear axis-aligned paths will be snapped to# the nearest pixel when certain criteria are met. When False,# paths will never be snapped.
#path.sketch : None # May be none, or a 3-tuple of the form (scale, length,# randomness).# *scale* is the amplitude of the wiggle# perpendicular to the line (in pixels). *length*# is the length of the wiggle along the line (in# pixels). *randomness* is the factor by which# the length is randomly scaled.# the default savefig params can be different from the display params
# e.g., you may want a higher resolution, or to make the figure
# background white
#savefig.dpi : 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# tk backend params
#tk.window_focus : False # Maintain shell focus for TkAgg# ps backend params
#ps.papersize : letter # auto, letter, legal, ledger, A0-A10, B0-B10
#ps.useafm : False # use of afm fonts, results in small files
#ps.usedistiller : False # can be: None, ghostscript or xpdf# Experimental: may produce smaller files.# xpdf intended for production of publication quality files,# but requires ghostscript, xpdf and ps2eps
#ps.distiller.res : 6000 # dpi
#ps.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)# pdf backend params
#pdf.compression : 6 # integer from 0 to 9# 0 disables compression (good for debugging)
#pdf.fonttype : 3 # Output Type 3 (Type3) or Type 42 (TrueType)# svg backend params
#svg.image_inline : True # write raster image data directly into the svg file
#svg.fonttype : 'path' # How to handle SVG fonts:
# 'none': Assume fonts are installed on the machine where the SVG will be viewed.
# 'path': Embed characters as paths -- supported by most SVG renderers
# 'svgfont': Embed characters as SVG fonts -- supported only by Chrome,
# Opera and Safari
#svg.hashsalt : None # if not None, use this string as hash salt# instead of uuid4# docstring params
#docstring.hardcopy = False # set this when you want to generate hardcopy docstring# Set the verbose flags. This controls how much information
# matplotlib gives you at runtime and where it goes. The verbosity
# levels are: silent, helpful, debug, debug-annoying. Any level is
# inclusive of all the levels below it. If your setting is "debug",
# you'll get all the debug and helpful messages. When submitting
# problems to the mailing-list, please set verbose to "helpful" or "debug"
# and paste the output into your report.
#
# The "fileo" gives the destination for any calls to verbose.report.
# These objects can a filename, or a filehandle like sys.stdout.
#
# You can override the rc default verbosity from the command line by
# giving the flags --verbose-LEVEL where LEVEL is one of the legal
# levels, e.g., --verbose-helpful.
#
# You can access the verbose instance in your code
# from matplotlib import verbose.
#verbose.level : silent # one of silent, helpful, debug, debug-annoying
#verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr# Event keys to interact with figures/plots via keyboard.
# Customize these settings according to your needs.
# Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')#keymap.fullscreen : f, ctrl+f # toggling
#keymap.home : h, r, home # home or reset mnemonic
#keymap.back : left, c, backspace # forward / backward keys to enable
#keymap.forward : right, v # left handed quick navigation
#keymap.pan : p # pan mnemonic
#keymap.zoom : o # zoom mnemonic
#keymap.save : s # saving current figure
#keymap.quit : ctrl+w, cmd+w # close the current figure
#keymap.grid : g # switching on/off a grid in current axes
#keymap.yscale : l # toggle scaling of y-axes ('log'/'linear')
#keymap.xscale : L, k # toggle scaling of x-axes ('log'/'linear')
#keymap.all_axes : a # enable all axes# Control location of examples data files
#examples.directory : '' # directory to look in for custom installation###ANIMATION settings
#animation.html : 'none' # How to display the animation as HTML in# the IPython notebook. 'html5' uses# HTML5 video tag.
#animation.writer : ffmpeg # MovieWriter 'backend' to use
#animation.codec : 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.avconv_path: 'avconv' # Path to avconv binary. Without full path# $PATH is searched
#animation.avconv_args: '' # Additional arguments to pass to avconv
#animation.mencoder_path: 'mencoder'# Path to mencoder binary. Without full path# $PATH is searched
#animation.mencoder_args: '' # Additional arguments to pass to mencoder
#animation.convert_path: 'convert' # Path to ImageMagick's convert binary.# On Windows use the full path since convert# is also the name of a system tool.
