endolith/matplotlibrc

## 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 overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, 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 CocoaAgg FltkAgg
# MacOSX QtAgg 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      : MacOSX

# if you are runing pyplot inside a GUI and your backend choice
# conflicts, we will automatically try and find a compatible one for
# you if backend_fallback is True
#backend_fallback: True
interactive  : True
toolbar      : toolbar2   # None | classic | toolbar2
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.sourceforge.net/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       : purple
#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.sourceforge.net/api/artist_api.html#module-matplotlib.patches
# information on patch properties
patch.linewidth        : 0.5     # edge width in points
patch.facecolor        : 348ABD # blue
patch.edgecolor        : eeeeee
patch.antialiased      : True    # render patches in antialised (no jaggies)

### FONT
#
# font properties used by text.Text.  See
# http://matplotlib.sourceforge.net/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.
#
# 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          : monospace
#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          : 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      : Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace

### TEXT
# text properties used by text.Text.  See
# http://matplotlib.sourceforge.net/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.markup         : 'plain'  # Affects how text, such as titles and labels, are
                                # interpreted by default.
                                # 'plain': As plain, unformatted text
                                # 'tex': As TeX-like text.  Text between $'s will be
                                # formatted as a TeX math expression.
                                # This setting has no effect when text.usetex is True.
                                # In that case, all text will be sent to TeX for
                                # processing.

#text.hinting : True # If True, text will be hinted, otherwise not.  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.sourceforge.net/api/axes_api.html#module-matplotlib.axes
#axes.hold           : True    # whether to clear the axes by default on
axes.facecolor      : eeeeee   # axes background color
axes.edgecolor      : bcbcbc   # axes edge color
axes.linewidth      : 1        # edge linewidth
axes.grid           : True     # display grid or not
axes.titlesize      : x-large  # fontsize of the axes title
axes.labelsize      : large    # fontsize of the x any y labels
axes.labelcolor     : 555555
axes.axisbelow      : True     # 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.unicode_minus  : True    # use unicode for the minus symbol
                               # rather than hypen.  See http://en.wikipedia.org/wiki/Plus_sign#Plus_sign
axes.color_cycle    : 348ABD, 7A68A6, A60628, 467821, CF4457, 188487, E24A33
                      # E24A33 : orange
                      # 7A68A6 : purple
                      # 348ABD : blue
                      # 188487 : turquoise
                      # A60628 : red
                      # CF4457 : pink
                      # 467821 : green


                                            # color cycle for plot lines
                                            # as list of string colorspecs:
                                            # single letter, long name, or
                                            # web-style hex

#polaraxes.grid      : True    # display grid on polar axes
#axes3d.grid         : True    # display grid on 3d axes

### TICKS
# see http://matplotlib.sourceforge.net/api/axis_api.html#matplotlib.axis.Tick
xtick.major.size     : 0      # major tick size in points
xtick.minor.size     : 0      # minor tick size in points
xtick.major.pad      : 6      # distance to major tick label in points
xtick.minor.pad      : 6      # distance to the minor tick label in points
xtick.color          : 555555      # color of the tick labels
#xtick.labelsize      : medium # fontsize of the tick labels
xtick.direction      : in     # direction: in or out

ytick.major.size     : 0      # major tick size in points
ytick.minor.size     : 0      # minor tick size in points
ytick.major.pad      : 6      # distance to major tick label in points
ytick.minor.pad      : 6      # distance to the minor tick label in points
ytick.color          : 555555      # color of the tick labels
#ytick.labelsize      : medium # fontsize of the tick labels
ytick.direction      : in     # direction: in or out


### GRIDS
#grid.color       :   black   # grid color
#grid.linestyle   :   :       # dotted
#grid.linewidth   :   0.5     # in points

### Legend
legend.fancybox      : True  # 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.pad           : 0.0    # deprecated; the fractional whitespace inside the legend border
#legend.borderpad     : 0.5    # border whitspace in fontsize units
#legend.markerscale   : 1.0    # the relative size of legend markers vs. original
# the following dimensions are in axes coords
#legend.labelsep      : 0.010  # the vertical space between the legend entries
#legend.handlelen     : 0.05   # the length of the legend lines
#legend.handletextsep : 0.02   # the space between the legend line and legend text
#legend.axespad       : 0.02   # the border between the axes and legend edge
#legend.shadow        : False

### FIGURE
# See http://matplotlib.sourceforge.net/api/figure_api.html#matplotlib.figure.Figure
figure.figsize   : 11, 8    # figure size in inches
#figure.dpi       : 80      # figure dots per inch
figure.facecolor : 0.85    # figure facecolor; 0.75 is scalar gray
figure.edgecolor : 0.50   # figure edgecolor

# The figure subplot parameters.  All dimensions are 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  : 0.5    # 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.

# the default savefig params can be different from the display params
# Eg, 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.extension : auto     # what extension to use for savefig('foo'), or 'auto'

#cairo.format      : png      # png, ps, pdf, svg

# 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.embed_char_paths : True       # embed character outlines in the SVG file

# 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.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
	### 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 overridden in your next install.
	# If you want to keep a permanent local copy that will not be
	# over-written, 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 CocoaAgg FltkAgg
	# MacOSX QtAgg 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 : MacOSX

	# if you are runing pyplot inside a GUI and your backend choice
	# conflicts, we will automatically try and find a compatible one for
	# you if backend_fallback is True
	#backend_fallback: True
	interactive : True
	toolbar : toolbar2 # None \| classic \| toolbar2
	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.sourceforge.net/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 : purple
	#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.sourceforge.net/api/artist_api.html#module-matplotlib.patches
	# information on patch properties
	patch.linewidth : 0.5 # edge width in points
	patch.facecolor : 348ABD # blue
	patch.edgecolor : eeeeee
	patch.antialiased : True # render patches in antialised (no jaggies)

	### FONT
	#
	# font properties used by text.Text. See
	# http://matplotlib.sourceforge.net/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.
	#
	# 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 : monospace
	#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 : 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 : Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace

	### TEXT
	# text properties used by text.Text. See
	# http://matplotlib.sourceforge.net/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.markup : 'plain' # Affects how text, such as titles and labels, are
	# interpreted by default.
	# 'plain': As plain, unformatted text
	# 'tex': As TeX-like text. Text between $'s will be
	# formatted as a TeX math expression.
	# This setting has no effect when text.usetex is True.
	# In that case, all text will be sent to TeX for
	# processing.

	#text.hinting : True # If True, text will be hinted, otherwise not. 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.sourceforge.net/api/axes_api.html#module-matplotlib.axes
	#axes.hold : True # whether to clear the axes by default on
	axes.facecolor : eeeeee # axes background color
	axes.edgecolor : bcbcbc # axes edge color
	axes.linewidth : 1 # edge linewidth
	axes.grid : True # display grid or not
	axes.titlesize : x-large # fontsize of the axes title
	axes.labelsize : large # fontsize of the x any y labels
	axes.labelcolor : 555555
	axes.axisbelow : True # 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.unicode_minus : True # use unicode for the minus symbol
	# rather than hypen. See http://en.wikipedia.org/wiki/Plus_sign#Plus_sign
	axes.color_cycle : 348ABD, 7A68A6, A60628, 467821, CF4457, 188487, E24A33
	# E24A33 : orange
	# 7A68A6 : purple
	# 348ABD : blue
	# 188487 : turquoise
	# A60628 : red
	# CF4457 : pink
	# 467821 : green




	# color cycle for plot lines
	# as list of string colorspecs:
	# single letter, long name, or
	# web-style hex

	#polaraxes.grid : True # display grid on polar axes
	#axes3d.grid : True # display grid on 3d axes

	### TICKS
	# see http://matplotlib.sourceforge.net/api/axis_api.html#matplotlib.axis.Tick
	xtick.major.size : 0 # major tick size in points
	xtick.minor.size : 0 # minor tick size in points
	xtick.major.pad : 6 # distance to major tick label in points
	xtick.minor.pad : 6 # distance to the minor tick label in points
	xtick.color : 555555 # color of the tick labels
	#xtick.labelsize : medium # fontsize of the tick labels
	xtick.direction : in # direction: in or out

	ytick.major.size : 0 # major tick size in points
	ytick.minor.size : 0 # minor tick size in points
	ytick.major.pad : 6 # distance to major tick label in points
	ytick.minor.pad : 6 # distance to the minor tick label in points
	ytick.color : 555555 # color of the tick labels
	#ytick.labelsize : medium # fontsize of the tick labels
	ytick.direction : in # direction: in or out


	### GRIDS
	#grid.color : black # grid color
	#grid.linestyle : : # dotted
	#grid.linewidth : 0.5 # in points

	### Legend
	legend.fancybox : True # 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.pad : 0.0 # deprecated; the fractional whitespace inside the legend border
	#legend.borderpad : 0.5 # border whitspace in fontsize units
	#legend.markerscale : 1.0 # the relative size of legend markers vs. original
	# the following dimensions are in axes coords
	#legend.labelsep : 0.010 # the vertical space between the legend entries
	#legend.handlelen : 0.05 # the length of the legend lines
	#legend.handletextsep : 0.02 # the space between the legend line and legend text
	#legend.axespad : 0.02 # the border between the axes and legend edge
	#legend.shadow : False

	### FIGURE
	# See http://matplotlib.sourceforge.net/api/figure_api.html#matplotlib.figure.Figure
	figure.figsize : 11, 8 # figure size in inches
	#figure.dpi : 80 # figure dots per inch
	figure.facecolor : 0.85 # figure facecolor; 0.75 is scalar gray
	figure.edgecolor : 0.50 # figure edgecolor

	# The figure subplot parameters. All dimensions are 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 : 0.5 # 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.

	# the default savefig params can be different from the display params
	# Eg, 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.extension : auto # what extension to use for savefig('foo'), or 'auto'

	#cairo.format : png # png, ps, pdf, svg

	# 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.embed_char_paths : True # embed character outlines in the SVG file

	# 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.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