# matplotlib configuration file                                             {{{
#
# This file is best viewed in a editor which supports python mode
# syntax highlighting. Blank lines, or lines starting with a comment
# symbol, are ignored, as are trailing comments.  Other lines must
# have the format
#    key : val # optional comment
#
# Colors: for the color values below, you can either use - a
# matplotlib color string, such as r, k, or b - an rgb tuple, such as
# (1.0, 0.5, 0.0) - a hex string, such as ff00ff or #ff00ff - a scalar
# grayscale intensity such as 0.75 - a legal html color name, e.g., red,
# blue, darkslategray                                                       }}}
########################## CONFIGURATION BEGINS HERE ##########################
# BACKEND                                                                   {{{
#==============================================================================
# The default backend; one of GTK GTKAgg GTKCairo GTK3Agg GTK3Cairo
# CocoaAgg MacOSX Qt4Agg Qt5Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG
# Template.
# You can also deploy your own backend outside of matplotlib by
# referring to the module name (which must be in the PYTHONPATH) as
# 'module://my_backend'.
backend      : 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

# Note that this can be overridden by the environment variable
# QT_API used by Enthought Tool Suite (ETS); valid values are
# "pyqt" and "pyside".  The "pyqt" setting has the side effect of
# forcing the use of Version 2 API for QString and QVariant.

# The port to use for the web server in the WebAgg backend.
#webagg.port : 8888

# If webagg.port is unavailable, a number of other random ports will
# be tried until one that is available is found.
#webagg.port_retries : 50

# When True, open the webbrowser to the plot that is shown
#webagg.open_in_browser : True

# When True, the figures rendered in the nbagg backend are created with
# a transparent background.
#nbagg.transparent : 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

#===========================================================================}}}
# GENERAL                                                                   {{{
#==============================================================================

#interactive : False
#toolbar     : toolbar2  # None | toolbar2  ("classic" is deprecated)
#timezone    : UTC       # a pytz timezone string,
                         # e.g., US/Central or Europe/Paris

#===========================================================================}}}
# 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     : b0b0b0  # 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 antialiased (no jaggies)

#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   : 0.5     # edge width in points
patch.facecolor   : 348ABD  # blue
patch.edgecolor   : eeeeee  # black
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.
# 12pt is the standard value.

font.size    : 13.0
font.family  : IPAexGothic
#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.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-seri : 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, 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://wiki.scipy.org/Cookbook/Matplotlib/UsingTex
text.usetex : True  # 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 : True  # 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      : ffffff   # axes background color
axes.edgecolor      : bcbcbc   # axes edge color
#axes.grid           : False   # display grid or not
axes.linewidth      : 1.0      # edge linewidth
axes.titlesize      : x-large  # fontsize of the axes title
axes.labelsize      : 16       # fontsize of the x any y labels
#axes.labelpad       : 5.0     # space between label and axis
axes.labelweight    : normal   # weight of the x and y labels
axes.labelcolor     : k
#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 : True  # When True, use mathtext for scientific
                                    # notation.
#axes.formatter.useoffset : True  # If True, the tick label formatter
                                  # will default to labeling ticks relative
                                  # to an offset when the data range is very
                                  # small compared to the minimum absolute
                                  # value of the data.

#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
#axes.color_cycle : 348ABD, 7A68A6, A60628, 467821, CF4457, 188487, E24A33
axes.prop_cycle : cycler('color', ['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

axes.xmargin : 0     # x margin.  See `axes.Axes.margins`
axes.ymargin : 0.05  # 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   : large  # 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   : large  # fontsize of the tick labels
#ytick.direction   : in     # direction: in, out, or inout

#===========================================================================}}}
# GRIDS                                                                     {{{
#==============================================================================

grid.color     : b0b0b0  # grid color
grid.linestyle : :       # dotted
grid.linewidth : 0.3     # in points
#grid.alpha     : 1.0     # transparency, between 0.0 and 1.0

#===========================================================================}}}
# LEGEND                                                                    {{{
#==============================================================================

legend.fancybox      : True  # if True, use a rounded box for the
                               # legend, else a rectangle
#legend.isaxes        : True
legend.numpoints     : 1      # the number of points in the legend line
legend.fontsize      : large
legend.borderpad     : 0.5    # border whitespace in fontsize units
legend.markerscale   : 1.5    # 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.framealpha    : None  # opacity of of legend frame
#legend.scatterpoints : 3     # number of scatter points

#===========================================================================}}}
# FIGURE                                                                    {{{
#==============================================================================
# See http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure

#figure.titlesize   : medium  # size of the figure title
#figure.titleweight : normal  # weight of the figure title

figure.figsize   : 10, 6  # figure size in inches
figure.dpi       : 96     # figure dots per inch
figure.facecolor : 0.85   # figure facecolor; 0.75 is scalar gray
figure.edgecolor : 0.50   # figure edgecolor

figure.autolayout : True  # 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 : 0.5    # 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

#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.

#===========================================================================}}}
# 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       : 96     # 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'.
                          # 'tight' is incompatible with pipe-based animation
                          # backends but will workd with temporary file based ones:
                          # e.g. setting animation.writer to ffmpeg will not work,
                          # use ffmpeg_file instead

#savefig.pad_inches   : 0.1  # Padding to be used when bbox is set to 'tight'
savefig.jpeg_quality : 100   # when a jpeg is saved, the default quality parameter.
savefig.directory    :       # default directory in savefig dialog box,
                             # leave empty to always use current working directory
savefig.transparent  : True  # setting that controls whether figures are saved
                             # with a transparent background by default

# tk backend params
#tk.window_focus : False  # Maintain shell focus for TkAgg

# ps backend params
#ps.papersize     : letter  # auto, letter, legal, ledger, A0-A10, B0-B10
#ps.useafm        : False   # use of afm fonts, results in small files
#ps.usedistiller  : False   # can be: None, ghostscript or xpdf
#    Experimental: may produce smaller files.
#    xpdf intended for production of publication quality files,
#    but requires ghostscript, xpdf and ps2eps
#ps.distiller.res : 6000    # dpi
#ps.fonttype      : 3       # Output Type 3 (Type3) or Type 42 (TrueType)

# pdf backend params
#pdf.compression : 6  # integer from 0 to 9
                      # 0 disables compression (good for debugging)
pdf.fonttype    : 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.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

#===========================================================================}}}
# VERBOSE                                                                   {{{
#==============================================================================
# Set the verbose flags.  This controls how much information
# matplotlib gives you at runtime and where it goes.  The verbosity
# levels are: silent, helpful, debug, debug-annoying.  Any level is
# inclusive of all the levels below it.  If your setting is "debug",
# you'll get all the debug and helpful messages.  When submitting
# problems to the mailing-list, please set verbose to "helpful" or "debug"
# and paste the output into your report.
#
# The "fileo" gives the destination for any calls to verbose.report.
# These objects can a filename, or a filehandle like sys.stdout.
#
# You can override the rc default verbosity from the command line by
# giving the flags --verbose-LEVEL where LEVEL is one of the legal
# levels, e.g., --verbose-helpful.
#
# You can access the verbose instance in your code
#   from matplotlib import verbose.

verbose.level : silent     # one of silent, helpful, debug, debug-annoying
#verbose.fileo : sys.stdout  # a log filename, sys.stdout or sys.stderr

#===========================================================================}}}
# KEYMAP                                                                    {{{
#==============================================================================
# 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, ctrl+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

#===========================================================================}}}
# ANIMATION                                                                 {{{
#==============================================================================

#animation.html          : 'none'    # How to display the animation as HTML in
                                     # the IPython notebook. 'html5' uses
                                     # HTML5 video tag.
#animation.writer        : ffmpeg    # MovieWriter 'backend' to use
#animation.codec         : mpeg4     # Codec to use for writing movie
#animation.bitrate       : -1        # Controls size/quality tradeoff for movie.
                                     # -1 implies let utility auto-determine
#animation.frame_format  : 'png'     # Controls frame format used by temp files
#animation.ffmpeg_path   : 'ffmpeg'  # Path to ffmpeg binary. Without full path
                                     # $PATH is searched
#animation.ffmpeg_args   : ''        # Additional arguments to pass to ffmpeg
#animation.avconv_path   : 'avconv'  # Path to avconv binary. Without full path
                                     # $PATH is searched
#animation.avconv_args   : ''        # Additional arguments to pass to avconv
#animation.mencoder_path : 'mencoder'
                                     # Path to mencoder binary. Without full path
                                     # $PATH is searched
#animation.mencoder_args : ''        # Additional arguments to pass to mencoder
#animation.convert_path  : 'convert' # Path to ImageMagick's convert binary.
                                     # On Windows use the full path since convert
                                     # is also the name of a system tool.

#===========================================================================}}}
# etc                                                                       {{{
#==============================================================================

# 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.

# Contour plots
#contour.negative_linestyle : dashed  # dashed | solid
#contour.corner_mask        : True    # True | False | legacy

# Errorbar plots
#errorbar.capsize : 3  # length of end cap on error bars in pixels

# Control location of examples data files
#examples.directory : ''  # directory to look in for custom installation

# set this when you want to generate hardcopy docstring
#docstring.hardcopy = False  

#===========================================================================}}}
# vim: ft=python
