matplotlib.__version__	matplotlibのバージョン
matplotlib.matplotlib_fname()	設定ファイルのパス．
matplotlib.rcParams	カレント設定パラメーター

プロットの初期設定

Matplotlib の全体の振る舞い (プロパティ) は rc 設定や rc パラメーターと呼ばれる辞書ライクな設定が適用されます．作成するプロットのプロパティ (図のサイズとdpi，線幅，色とスタイル，軸，軸とグリッドのプロパティ，テキストとフォントなど）のデフォルト値を設定できます．

プロット設定パラメーター

matplotlib のインポート後，コマンド「plt.rcParams」で，設定パラメーターとその値を調べることができます．

設定パラメーターの表示プログラム

import matplotlib as plt
print(plt.rcParams)

実行結果は，以下のとおりです．これを見れば，設定可能なパラメーターが分かります．

agg.path.chunksize: 0
animation.avconv_args: 
animation.avconv_path: avconv
animation.bitrate: -1
animation.codec: mpeg4
animation.convert_args: 
animation.convert_path: convert
animation.ffmpeg_args: 
animation.ffmpeg_path: ffmpeg
animation.frame_format: png
animation.mencoder_args: 
animation.mencoder_path: mencoder
animation.writer: ffmpeg
axes.axisbelow: False
axes.color_cycle: ['b', 'g', 'r', 'c', 'm', 'y', 'k']
axes.edgecolor: k
axes.facecolor: w
axes.formatter.limits: [-7, 7]
axes.formatter.use_locale: False
axes.formatter.use_mathtext: False
axes.grid: False
axes.hold: True
axes.labelcolor: k
axes.labelsize: medium
axes.labelweight: normal
axes.linewidth: 1.0
axes.titlesize: large
axes.unicode_minus: True
axes.xmargin: 0
axes.ymargin: 0
axes3d.grid: True
backend: TkAgg
backend.qt4: PyQt4
backend_fallback: True
contour.negative_linestyle: dashed
datapath: /usr/share/matplotlib/mpl-data
docstring.hardcopy: False
examples.directory: 
figure.autolayout: False
figure.dpi: 80
figure.edgecolor: w
figure.facecolor: 0.75
figure.figsize: [8.0, 6.0]
figure.frameon: True
figure.max_open_warning: 20
figure.subplot.bottom: 0.1
figure.subplot.hspace: 0.2
figure.subplot.left: 0.125
figure.subplot.right: 0.9
figure.subplot.top: 0.9
figure.subplot.wspace: 0.2
font.cursive: ['Apple Chancery', 'Textile', 'Zapf Chancery', 'Sand', 'cursive']
font.family: sans-serif
font.fantasy: ['Comic Sans MS', 'Chicago', 'Charcoal', 'ImpactWestern', 'fantasy']
font.monospace: ['Bitstream Vera Sans Mono', 'DejaVu Sans Mono', 'Andale Mono', 'Nimbus Mono L', 'Courier New', 'Courier', 'Fixed', 'Terminal', 'monospace']
font.sans-serif: ['Bitstream Vera Sans', 'DejaVu Sans', 'Lucida Grande', 'Verdana', 'Geneva', 'Lucid', 'Arial', 'Helvetica', 'Avant Garde', 'sans-serif']
font.serif: ['Bitstream Vera Serif', 'DejaVu Serif', 'New Century Schoolbook', 'Century Schoolbook L', 'Utopia', 'ITC Bookman', 'Bookman', 'Nimbus Roman No9 L', 'Times New Roman', 'Times', 'Palatino', 'Charter', 'serif']
font.size: 12
font.stretch: normal
font.style: normal
font.variant: normal
font.weight: normal
grid.alpha: 1.0
grid.color: k
grid.linestyle: :
grid.linewidth: 0.5
image.aspect: equal
image.cmap: jet
image.interpolation: bilinear
image.lut: 256
image.origin: upper
image.resample: False
interactive: False
keymap.all_axes: a
keymap.back: ['left', 'c', 'backspace']
keymap.forward: ['right', 'v']
keymap.fullscreen: ('f', 'ctrl+f')
keymap.grid: g
keymap.home: ['h', 'r', 'home']
keymap.pan: p
keymap.quit: ('ctrl+w', 'cmd+w')
keymap.save: ('s', 'ctrl+s')
keymap.xscale: ['k', 'L']
keymap.yscale: l
keymap.zoom: o
legend.borderaxespad: 0.5
legend.borderpad: 0.4
legend.columnspacing: 2.0
legend.fancybox: False
legend.fontsize: large
legend.frameon: True
legend.handleheight: 0.7
legend.handlelength: 2.0
legend.handletextpad: 0.8
legend.isaxes: True
legend.labelspacing: 0.5
legend.loc: upper right
legend.markerscale: 1.0
legend.numpoints: 2
legend.scatterpoints: 3
legend.shadow: False
lines.antialiased: True
lines.color: b
lines.dash_capstyle: butt
lines.dash_joinstyle: round
lines.linestyle: -
lines.linewidth: 1.0
lines.marker: None
lines.markeredgewidth: 0.5
lines.markersize: 6
lines.solid_capstyle: projecting
lines.solid_joinstyle: round
mathtext.bf: serif:bold
mathtext.cal: cursive
mathtext.default: it
mathtext.fallback_to_cm: True
mathtext.fontset: cm
mathtext.it: serif:italic
mathtext.rm: serif
mathtext.sf: sans\-serif
mathtext.tt: monospace
patch.antialiased: True
patch.edgecolor: k
patch.facecolor: b
patch.linewidth: 1.0
path.effects: []
path.simplify: True
path.simplify_threshold: 0.1111111111111111
path.sketch: None
path.snap: True
pdf.compression: 6
pdf.fonttype: 3
pdf.inheritcolor: False
pdf.use14corefonts: False
pgf.debug: False
pgf.preamble: ['']
pgf.rcfonts: True
pgf.texsystem: xelatex
plugins.directory: .matplotlib_plugins
polaraxes.grid: True
ps.distiller.res: 6000
ps.fonttype: 3
ps.papersize: letter
ps.useafm: False
ps.usedistiller: False
savefig.bbox: None
savefig.directory: ~
savefig.dpi: 100
savefig.edgecolor: w
savefig.extension: png
savefig.facecolor: w
savefig.format: png
savefig.frameon: True
savefig.jpeg_quality: 95
savefig.orientation: portrait
savefig.pad_inches: 0.1
svg.embed_char_paths: True
svg.fonttype: path
svg.image_inline: True
svg.image_noscale: False
text.antialiased: True
text.color: k
text.dvipnghack: None
text.hinting: True
text.hinting_factor: 8
text.latex.preamble: ['']
text.latex.preview: False
text.latex.unicode: False
text.usetex: False
timezone: UTC
tk.pythoninspect: False
tk.window_focus: False
toolbar: toolbar2
verbose.fileo: sys.stdout
verbose.level: silent
webagg.open_in_browser: True
webagg.port: 8988
webagg.port_retries: 50
xtick.color: k
xtick.direction: in
xtick.labelsize: medium
xtick.major.pad: 4
xtick.major.size: 4
xtick.major.width: 0.5
xtick.minor.pad: 4
xtick.minor.size: 2
xtick.minor.width: 0.5
ytick.color: k
ytick.direction: in
ytick.labelsize: medium
ytick.major.pad: 4
ytick.major.size: 4
ytick.major.width: 0.5
ytick.minor.pad: 4
ytick.minor.size: 2
ytick.minor.width: 0.5

初期設定ファイル

初期設定はファイル「matplotlibrc」に書かれており，実行時に以下に示す優先順位でパスの検索が行われ，見つかったものが使われます．

最初の検索場所は，カレントワーキングディレクトリーです．
二番目の探索場所は「$MATPLOTLIBRC/matplotlibrc」です.
次はユーザー定義ファイルのディレクトリーで，プラットフォームに依存します．
- Linux や FreeBSDでは，「.config/matplotlib/matplotlibrc」です．「$XDG_CONFIG_HOME/matplotlib/matplotlibrc」の場合もります．
- その他の場合は，「.matplotlib/matplotlibrc」です．
「INSTALL/matplotlib/mpl-data/matplotlibrc」です． INSTALL は，Linux では「/usr/lib/python3.5/site-packages，Windows では「C:\Python35\Lib\site-packages．matplotlib を再イントールすると，この設定ファイルは上書きされますので，注意が必要です．

matplotlibrc のパスは，コマンド「matplotlib.matplotlib_fname()」で，調べることができます．もちろん，このコマンドを実行するためには，matplotlib をインポートする必要があります．

私のシステム (ubuntu 14.04, Python 3.4.3, matplotlib 1.3.1) の初期設定は以下のとおりです．これを見ると，設定可能な項目が理解できます．マーク「#」はコメントを表します．

### 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 HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).
#
# This file is best viewed in a editor which supports python mode
# syntax highlighting. Blank lines, or lines starting with a comment
# symbol, are ignored, as are trailing comments.  Other lines must
# have the format
#    key : val # optional comment
#
# Colors: for the color values below, you can either use - a
# matplotlib color string, such as r, k, or b - an rgb tuple, such as
# (1.0, 0.5, 0.0) - a hex string, such as ff00ff or #ff00ff - a scalar
# grayscale intensity such as 0.75 - a legal html color name, eg red,
# blue, darkslategray

#### CONFIGURATION BEGINS HERE
# the default backend; one of GTK GTKAgg GTKCairo GTK3Agg GTK3Cairo
# CocoaAgg MacOSX Qt4Agg 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
# 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, eg 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   : 1.0     # line width in points
#lines.linestyle   : -       # solid line
#lines.color       : blue    # has no affect on plot(); see axes.color_cycle
#lines.marker      : None    # the default marker
#lines.markeredgewidth  : 0.5     # the line width around the marker symbol
#lines.markersize  : 6            # markersize, in points
#lines.dash_joinstyle : miter        # miter|round|bevel
#lines.dash_capstyle : butt          # butt|round|projecting
#lines.solid_joinstyle : miter       # miter|round|bevel
#lines.solid_capstyle : projecting   # butt|round|projecting
#lines.antialiased : True         # render lines in antialised (no jaggies)
### 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        : 1.0     # edge width in points
#patch.facecolor        : blue
#patch.edgecolor        : black
#patch.antialiased      : True    # render patches in antialised (no jaggies)
### FONT
#
# font properties used by text.Text.  See
# http://matplotlib.org/api/font_manager_api.html for more
# information on font properties.  The 6 font properties used for font
# matching are given below with their default values.
#
# The font.family property has five values: 'serif' (e.g., Times),
# 'sans-serif' (e.g., Helvetica), 'cursive' (e.g., Zapf-Chancery),
# 'fantasy' (e.g., Western), and 'monospace' (e.g., Courier).  Each of
# these font families has a default list of font names in decreasing
# order of priority associated with them.  When text.usetex is False,
# font.family may also be one or more concrete font names.
#
# The font.style property has three values: normal (or roman), italic
# or oblique.  The oblique style will be used for italic, if it is not
# present.
#
# The font.variant property has two values: normal or small-caps.  For
# TrueType fonts, which are scalable fonts, small-caps is equivalent
# to using a font size of 'smaller', or about 83% of the current font
# size.
#
# The font.weight property has effectively 13 values: normal, bold,
# bolder, lighter, 100, 200, 300, ..., 900.  Normal is the same as
# 400, and bold is 700.  bolder and lighter are relative values with
# respect to the current weight.
#
# The font.stretch property has 11 values: ultra-condensed,
# extra-condensed, condensed, semi-condensed, normal, semi-expanded,
# expanded, extra-expanded, ultra-expanded, wider, and narrower.  This
# property is not currently implemented.
#
# The font.size property is the default font size for text, given in pts.
# 12pt is the standard value.
#
#font.family         : sans-serif
#font.style          : normal
#font.variant        : normal
#font.weight         : medium
#font.stretch        : normal
# note that font.size controls default text sizes.  To configure
# special text sizes tick labels, axes, labels, title, etc, see the rc
# settings for axes and ticks. Special text sizes can be defined
# relative to font.size, using the following values: xx-small, x-small,
# small, medium, large, x-large, xx-large, larger, or smaller
#font.size           : 12.0
#font.serif          : Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
#font.sans-serif     : Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
#font.cursive        : Apple Chancery, Textile, Zapf Chancery, Sand, cursive
#font.fantasy        : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy
#font.monospace      : Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
### TEXT
# text properties used by text.Text.  See
# http://matplotlib.org/api/artist_api.html#module-matplotlib.text for more
# information on text properties
#text.color          : black
### LaTeX customizations. See http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
#text.usetex         : False  # use latex for all text handling. The following fonts
# are supported through the usual rc parameter settings:
# new century schoolbook, bookman, times, palatino,
# zapf chancery, charter, serif, sans-serif, helvetica,
# avant garde, courier, monospace, computer modern roman,
# computer modern sans serif, computer modern typewriter
# If another font is desired which can loaded using the
# LaTeX \usepackage command, please inquire at the
# matplotlib mailing list
#text.latex.unicode : False # use "ucs" and "inputenc" LaTeX packages for handling
# unicode strings.
#text.latex.preamble :  # IMPROPER USE OF THIS FEATURE WILL LEAD TO LATEX FAILURES
# AND IS THEREFORE UNSUPPORTED. PLEASE DO NOT ASK FOR HELP
# IF THIS FEATURE DOES NOT DO WHAT YOU EXPECT IT TO.
# preamble is a comma separated list of LaTeX statements
# that are included in the LaTeX document preamble.
# An example:
# text.latex.preamble : \usepackage{bm},\usepackage{euler}
# The following packages are always loaded with usetex, so
# beware of package collisions: color, geometry, graphicx,
# type1cm, textcomp. Adobe Postscript (PSSNFS) font packages
# may also be loaded, depending on your font settings
#text.dvipnghack : None      # some versions of dvipng don't handle alpha
# channel properly.  Use True to correct
# and flush ~/.matplotlib/tex.cache
# before testing and False to force
# correction off.  None will try and
# guess based on your dvipng version
#text.hinting : 'auto' # May be one of the following:
#   'none': Perform no hinting
#   'auto': Use freetype's autohinter
#   'native': Use the hinting information in the
#             font file, if available, and if your
#             freetype library supports it
#   'either': Use the native hinting information,
#             or the autohinter if none is available.
# For backward compatibility, this value may also be
# True === 'auto' or False === 'none'.
#text.hinting_factor : 8 # Specifies the amount of softness for hinting in the
# horizontal direction.  A value of 1 will hint to full
# pixels.  A value of 2 will hint to half pixels etc.
#text.antialiased : True # If True (default), the text will be antialiased.
# This only affects the Agg backend.
# The following settings allow you to select the fonts in math mode.
# They map from a TeX font name to a fontconfig font pattern.
# These settings are only used if mathtext.fontset is 'custom'.
# Note that this "custom" mode is unsupported and may go away in the
# future.
#mathtext.cal : cursive
#mathtext.rm  : serif
#mathtext.tt  : monospace
#mathtext.it  : serif:italic
#mathtext.bf  : serif:bold
#mathtext.sf  : sans
#mathtext.fontset : cm # Should be 'cm' (Computer Modern), 'stix',
# 'stixsans' or 'custom'
#mathtext.fallback_to_cm : True  # When True, use symbols from the Computer Modern
# fonts when a symbol can not be found in one of
# the custom math fonts.
#mathtext.default : it # The default font to use for math.
# Can be any of the LaTeX font names, including
# the special name "regular" for the same font
# used in regular text.
### AXES
# default face and edge color, default tick sizes,
# default fontsizes for ticklabels, and so on.  See
# http://matplotlib.org/api/axes_api.html#module-matplotlib.axes
#axes.hold           : True    # whether to clear the axes by default on
#axes.facecolor      : white   # axes background color
#axes.edgecolor      : black   # axes edge color
#axes.linewidth      : 1.0     # edge linewidth
#axes.grid           : False   # display grid or not
#axes.titlesize      : large   # fontsize of the axes title
#axes.labelsize      : medium  # fontsize of the x any y labels
#axes.labelweight    : normal  # weight of the x and y labels
#axes.labelcolor     : black
#axes.axisbelow      : False   # whether axis gridlines and ticks are below
# the axes elements (lines, text, etc)
#axes.formatter.limits : -7, 7 # use scientific notation if log10
# of the axis range is smaller than the
# first or larger than the second
#axes.formatter.use_locale : False # When True, format tick labels
# according to the user's locale.
# For example, use ',' as a decimal
# separator in the fr_FR locale.
#axes.formatter.use_mathtext : False # When True, use mathtext for scientific
# notation.
#axes.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.color_cycle    : b, g, r, c, m, y, k  # color cycle for plot lines
# as list of string colorspecs:
# single letter, long name, or
# web-style hex
#axes.xmargin        : 0  # x margin.  See `axes.Axes.margins`
#axes.ymargin        : 0  # y margin See `axes.Axes.margins`
#polaraxes.grid      : True    # display grid on polar axes
#axes3d.grid         : True    # display grid on 3d axes
### TICKS
# see http://matplotlib.org/api/axis_api.html#matplotlib.axis.Tick
#xtick.major.size     : 4      # major tick size in points
#xtick.minor.size     : 2      # minor tick size in points
#xtick.major.width    : 0.5    # major tick width in points
#xtick.minor.width    : 0.5    # minor tick width in points
#xtick.major.pad      : 4      # distance to major tick label in points
#xtick.minor.pad      : 4      # distance to the minor tick label in points
#xtick.color          : k      # color of the tick labels
#xtick.labelsize      : medium # fontsize of the tick labels
#xtick.direction      : in     # direction: in, out, or inout
#ytick.major.size     : 4      # major tick size in points
#ytick.minor.size     : 2      # minor tick size in points
#ytick.major.width    : 0.5    # major tick width in points
#ytick.minor.width    : 0.5    # minor tick width in points
#ytick.major.pad      : 4      # distance to major tick label in points
#ytick.minor.pad      : 4      # distance to the minor tick label in points
#ytick.color          : k      # color of the tick labels
#ytick.labelsize      : medium # fontsize of the tick labels
#ytick.direction      : in     # direction: in, out, or inout
### GRIDS
#grid.color       :   black   # grid color
#grid.linestyle   :   :       # dotted
#grid.linewidth   :   0.5     # in points
#grid.alpha       :   1.0     # transparency, between 0.0 and 1.0
### Legend
#legend.fancybox      : False  # if True, use a rounded box for the
# legend, else a rectangle
#legend.isaxes        : True
#legend.numpoints     : 2      # the number of points in the legend line
#legend.fontsize      : large
#legend.borderpad     : 0.5    # border whitespace in fontsize units
#legend.markerscale   : 1.0    # the relative size of legend markers vs. original
# the following dimensions are in axes coords
#legend.labelspacing  : 0.5    # the vertical space between the legend entries in fraction of fontsize
#legend.handlelength  : 2.     # the length of the legend lines in fraction of fontsize
#legend.handleheight  : 0.7     # the height of the legend handle in fraction of fontsize
#legend.handletextpad : 0.8    # the space between the legend line and legend text in fraction of fontsize
#legend.borderaxespad : 0.5   # the border between the axes and legend edge in fraction of fontsize
#legend.columnspacing : 2.    # the border between the axes and legend edge in fraction of fontsize
#legend.shadow        : False
#legend.frameon       : True   # whether or not to draw a frame around legend
#legend.scatterpoints : 3 # number of scatter points
### FIGURE
# See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure
#figure.figsize   : 8, 6    # figure size in inches
#figure.dpi       : 80      # figure dots per inch
#figure.facecolor : 0.75    # figure facecolor; 0.75 is scalar gray
#figure.edgecolor : white   # figure edgecolor
#figure.autolayout : False  # When True, automatically adjust subplot
# parameters to make the plot fit the figure
#figure.max_open_warning : 20  # The maximum number of figures to open through
# the pyplot interface before emitting a warning.
# If less than one this feature is disabled.
# The figure subplot parameters.  All dimensions are a fraction of the
# figure width or height
#figure.subplot.left    : 0.125  # the left side of the subplots of the figure
#figure.subplot.right   : 0.9    # the right side of the subplots of the figure
#figure.subplot.bottom  : 0.1    # the bottom of the subplots of the figure
#figure.subplot.top     : 0.9    # the top of the subplots of the figure
#figure.subplot.wspace  : 0.2    # the amount of width reserved for blank space between subplots
#figure.subplot.hspace  : 0.2    # the amount of height reserved for white space between subplots
### IMAGES
#image.aspect : equal             # equal | auto | a number
#image.interpolation  : bilinear  # see help(imshow) for options
#image.cmap   : jet               # gray | jet etc...
#image.lut    : 256               # the size of the colormap lookup table
#image.origin : upper             # lower | upper
#image.resample  : False
### CONTOUR PLOTS
#contour.negative_linestyle :  dashed # dashed | solid
### Agg rendering
### Warning: experimental, 2008/10/10
#agg.path.chunksize : 0           # 0 to disable; values in the range
# 10000 to 100000 can improve speed slightly
# and prevent an Agg rendering failure
# when plotting very large data sets,
# especially if they are very gappy.
# It may cause minor artifacts, though.
# A value of 20000 is probably a good
# starting point.
### SAVING FIGURES
#path.simplify : True   # When True, simplify paths by removing "invisible"
# points to reduce file size and increase rendering
# speed
#path.simplify_threshold : 0.1  # The threshold of similarity below which
# vertices will be removed in the simplification
# process
#path.snap : True # When True, rectilinear axis-aligned paths will be snapped to
# the nearest pixel when certain criteria are met.  When False,
# paths will never be snapped.
#path.sketch : None # May be none, or a 3-tuple of the form (scale, length,
# randomness).
# *scale* is the amplitude of the wiggle
# perpendicular to the line (in pixels).  *length*
# is the length of the wiggle along the line (in
# pixels).  *randomness* is the factor by which
# the length is randomly scaled.
# the default savefig params can be different from the display params
# e.g., you may want a higher resolution, or to make the figure
# background white
#savefig.dpi         : 100      # figure dots per inch
#savefig.facecolor   : white    # figure facecolor when saving
#savefig.edgecolor   : white    # figure edgecolor when saving
#savefig.format      : png      # png, ps, pdf, svg
#savefig.bbox        : standard # 'tight' or 'standard'.
#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
# tk backend params
#tk.window_focus   : False    # Maintain shell focus for TkAgg
# ps backend params
#ps.papersize      : letter   # auto, letter, legal, ledger, A0-A10, B0-B10
#ps.useafm         : False    # use of afm fonts, results in small files
#ps.usedistiller   : False    # can be: None, ghostscript or xpdf
# Experimental: may produce smaller files.
# xpdf intended for production of publication quality files,
# but requires ghostscript, xpdf and ps2eps
#ps.distiller.res  : 6000      # dpi
#ps.fonttype       : 3         # Output Type 3 (Type3) or Type 42 (TrueType)
# pdf backend params
#pdf.compression   : 6 # integer from 0 to 9
# 0 disables compression (good for debugging)
#pdf.fonttype       : 3         # Output Type 3 (Type3) or Type 42 (TrueType)
# svg backend params
#svg.image_inline : True       # write raster image data directly into the svg file
#svg.image_noscale : False     # suppress scaling of raster data embedded in SVG
#svg.fonttype : 'path'         # How to handle SVG fonts:
#    'none': Assume fonts are installed on the machine where the SVG will be viewed.
#    'path': Embed characters as paths -- supported by most SVG renderers
#    'svgfont': Embed characters as SVG fonts -- supported only by Chrome,
#               Opera and Safari
# docstring params
#docstring.hardcopy = False  # set this when you want to generate hardcopy docstring
# Set the verbose flags.  This controls how much information
# matplotlib gives you at runtime and where it goes.  The verbosity
# levels are: silent, helpful, debug, debug-annoying.  Any level is
# inclusive of all the levels below it.  If your setting is "debug",
# you'll get all the debug and helpful messages.  When submitting
# problems to the mailing-list, please set verbose to "helpful" or "debug"
# and paste the output into your report.
#
# The "fileo" gives the destination for any calls to verbose.report.
# These objects can a filename, or a filehandle like sys.stdout.
#
# You can override the rc default verbosity from the command line by
# giving the flags --verbose-LEVEL where LEVEL is one of the legal
# levels, eg --verbose-helpful.
#
# You can access the verbose instance in your code
#   from matplotlib import verbose.
#verbose.level  : silent      # one of silent, helpful, debug, debug-annoying
#verbose.fileo  : sys.stdout  # a log filename, sys.stdout or sys.stderr
# Event keys to interact with figures/plots via keyboard.
# Customize these settings according to your needs.
# Leave the field(s) empty if you don't need a key-map. (i.e., fullscreen : '')
#keymap.fullscreen : f               # toggling
#keymap.home : h, r, home            # home or reset mnemonic
#keymap.back : left, c, backspace    # forward / backward keys to enable
#keymap.forward : right, v           #   left handed quick navigation
#keymap.pan : p                      # pan mnemonic
#keymap.zoom : o                     # zoom mnemonic
#keymap.save : s                     # saving current figure
#keymap.quit : ctrl+w, cmd+w         # close the current figure
#keymap.grid : g                     # switching on/off a grid in current axes
#keymap.yscale : l                   # toggle scaling of y-axes ('log'/'linear')
#keymap.xscale : L, k                # toggle scaling of x-axes ('log'/'linear')
#keymap.all_axes : a                 # enable all axes
# Control location of examples data files
#examples.directory : ''   # directory to look in for custom installation
###ANIMATION settings
#animation.writer : ffmpeg         # MovieWriter 'backend' to use
#animation.codec : mp4             # 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

全ての行がコメントアウトされていますので，このファイルは設定には全く関与しません．行頭のコメントマーク「#」を取り去り，設定値を記述します．コメントが書かれているので，意味は理解できるでしょう．

設定の変更方法

プログラム中で設定

関数「matplotlib.rcParams["パラメーター"]=値」を使うと，プログラム中で Matplotlib のプロパティの変更ができます．具体例を以下に示します[実行結果]．

matplotlib.rcParams[]を使った設定例

# -*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt

# ----- Matplotlib の rc 設定 ----
plt.rcParams["font.size"]        = 18
plt.rcParams["font.family"]      = "serif"
plt.rcParams["xtick.major.size"] = 10
plt.rcParams["xtick.minor.size"] = 5
plt.rcParams["ytick.major.size"] = 10
plt.rcParams["ytick.minor.size"] = 5

# ----- プロットデータ作成 -----
x1 = np.linspace(-10, 10, 128)
y1 = np.sin(x1)

# ----- プロット作成 ----
fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.set_title(r"$y=\sin(x)$")
ax1.set_xlabel(r"$\theta$ [rad]")
ax1.set_ylabel("Amplitude")
ax1.set_xlim([-10, 10])
ax1.set_ylim([-1.2,1.2])
ax1.minorticks_on()
ax1.plot(x1, y1, 'ro', markersize=5)

# ----- スクリーン表示 -----
fig.tight_layout()
plt.show()
  
# ----- pdf 作成 -----
fig.savefig('sample.pdf', orientation='portrait', \
            transparent=False, bbox_inches=None, frameon=None)
fig.clf()

6 — 11行目で，Matplotlib のプロットの全体の設定 (rc パラメーターの再設定) を行います．その内容は，006 と 007 行目: デフォルトのフォントサイズとファミリー，8 — 11 行目: 目盛りの長さの設定です．

ページ作成情報

参考資料

Matplotlib の設定 rc に関しては，「Customizing matplotlib — Matplotlib 2.0.2 documentation」が詳しいです．

更新履歴

2016年10月17日

新規作成

Matplotlib設定

目次

設定の確認方法