jsoma/matplotlibrc

## matplotlibrc
### MATPLOTLIBRC FORMAT

#
# See http://matplotlib.org/users/customizing.html#the-matplotlibrc-file for
# more details on the paths which are checked for the configuration file.
#

### 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)

### 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     : DejaVu Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
#font.cursive        : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive
#font.fantasy        : Comic Sans MS, Chicago, Charcoal, 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

### 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.spines.left   : True   # display axis spines
# axes.spines.bottom : True
# axes.spines.top    : True
# axes.spines.right  : True

#axes.prop_cycle    : cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'])
#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`

### 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.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.
### 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.

# 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.pad_inches  : 0.1      # Padding to be used when bbox is set to 'tight'
#savefig.transparent : False    # setting that controls whether figures are saved with a
                                # transparent background by default


#ps.distiller.res  : 6000      # dpi
#ps.fonttype       : 42        # Output Type 3 (Type3) or Type 42 (TrueType)

# pdf backend params
#pdf.fonttype       : 42       # 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:
	### MATPLOTLIBRC FORMAT

	#
	# See http://matplotlib.org/users/customizing.html#the-matplotlibrc-file for
	# more details on the paths which are checked for the configuration file.
	#

	### 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)

	### 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 : DejaVu Sans, Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
	#font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, Script MT, Felipa, cursive
	#font.fantasy : Comic Sans MS, Chicago, Charcoal, 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

	### 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.spines.left : True # display axis spines
	# axes.spines.bottom : True
	# axes.spines.top : True
	# axes.spines.right : True

	#axes.prop_cycle : cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'])
	#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`

	### 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.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.
	### 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.

	# 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.pad_inches : 0.1 # Padding to be used when bbox is set to 'tight'
	#savefig.transparent : False # setting that controls whether figures are saved with a
	# transparent background by default


	#ps.distiller.res : 6000 # dpi
	#ps.fonttype : 42 # Output Type 3 (Type3) or Type 42 (TrueType)

	# pdf backend params
	#pdf.fonttype : 42 # 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: