FrontPage/Python/PySide

https://gist.githubusercontent.com/peace098beat/079519713d248d9ede52/raw/d42caace23ee5aa8faf7cc6b6bd63d986c469d3a/mpl_stylesheet.py

import matplotlib as mpl

### 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 : qt4agg mpl.rcParams['backend'] = 'qt4agg'

# 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 mpl.rcParams['backend.qt4'] = 'PyQt4'

# 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 mpl.rcParams['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 mpl.rcParams['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) mpl.rcParams['lines.linewidth'] = 1.0 mpl.rcParams['lines.linestyle'] = '-' mpl.rcParams['lines.color'] = 'blue' mpl.rcParams['lines.marker'] = None mpl.rcParams['lines.markeredgewidth'] = 0.5 mpl.rcParams['lines.antialiased'] = True

### 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