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clean out obsolete matplotlibrc-related bits

matplotlib.conf appears to be long-forgotten, so it is removed.
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1 parent 8ab4318 commit 2e8411097002d8e472226dd474bcfbc7dd95432f @efiring committed Aug 21, 2012
Showing with 1 addition and 732 deletions.
  1. +1 −311 doc/pyplots/matplotlibrc
  2. +0 −413 lib/matplotlib/mpl-data/matplotlib.conf.template
  3. +0 −8 setup.py
@@ -1,313 +1,3 @@
-### MATPLOTLIBRC FORMAT
-
-# This is a sample matplotlib configuration file. It should be placed
-# in HOME/.matplotlib/matplotlibrc (unix/linux like systems) and
-# C:\Documents and Settings\yourname\.matplotlib (win32 systems)
-#
-# By default, the installer will overwrite the existing file in the
-# install path, so if you want to preserve your's, please move it to
-# your HOME dir and set the environment variable if necessary.
-#
-# 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 (no '#' symbol)
-# - 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 FltkAgg QtAgg TkAgg
-# WX WXAgg Agg Cairo GD GDK Paint PS PDF SVG Template
+# local matplotlibrc for generating image files in this directory
backend : Agg
-#maskedarray : False # True to use external maskedarray module
- # instead of numpy.ma; this is a temporary
- # setting for testing maskedarray.
-#interactive : False # see http://matplotlib.sourceforge.net/interactive.html
-#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/matplotlib.lines.html for more
-# information on line properties.
-#lines.linewidth : 1.0 # line width in points
-#lines.linestyle : - # solid line
-#lines.color : blue
-#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/matplotlib.patches.html for more
-# information on patch properties
-#patch.linewidth : 1.0 # edge width in points
-#patch.facecolor : blue
-#patch.edgecolor : black
-#patch.antialiased : True # render patches in antialised (no jaggies)
-
-### FONT
-#
-# font properties used by text.Text. See
-# http://matplotlib.sourceforge.net/matplotlib.font_manager.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 : sans-serif
-#font.style : normal
-#font.variant : normal
-#font.weight : medium
-#font.stretch : normal
-# note that font.size controls default text sizes. To configure
-# special text sizes tick labels, axes, labels, title, etc, see the rc
-# settings for axes and ticks. Special text sizes can be defined
-# relative to font.size, using the following values: xx-small, x-small,
-# small, medium, large, x-large, xx-large, larger, or smaller
-#font.size : 12.0
-#font.serif : Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
-#font.sans-serif : Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
-#font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, cursive
-#font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy
-#font.monospace : Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
-
-### TEXT
-# text properties used by text.Text. See
-# http://matplotlib.sourceforge.net/matplotlib.text.html 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 : False # some versions of dvipng don't handle
- # alpha channel properly. Use True to correct and flush
- # ~/.matplotlib/tex.cache before testing
-#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.
-
-# 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'.
-#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.
-
-### AXES
-# default face and edge color, default tick sizes,
-# default fontsizes for ticklabels, and so on. See
-# http://matplotlib.sourceforge.net/matplotlib.axes.html#Axes
-#axes.hold : True # whether to clear the axes by default on
-#axes.facecolor : white # axes background color
-#axes.edgecolor : black # axes edge color
-#axes.linewidth : 1.0 # edge linewidth
-#axes.grid : False # display grid or not
-#axes.titlesize : 14 # fontsize of the axes title
-#axes.labelsize : 12 # fontsize of the x any y labels
-#axes.labelcolor : black
-#axes.axisbelow : False # whether axis gridlines and ticks are below
- # the axes elements (lines, text, etc)
-#axes.formatter.limits : -7, 7 # use scientific notation if log10
- # of the axis range is smaller than the
- # first or larger than the second
-
-#polaraxes.grid : True # display grid on polar axes
-
-### TICKS
-# see http://matplotlib.sourceforge.net/matplotlib.axis.html#Ticks
-#xtick.major.size : 4 # major tick size in points
-#xtick.minor.size : 2 # minor tick size 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 : 12 # fontsize of the tick labels
-#xtick.direction : in # direction: in or out
-
-#ytick.major.size : 4 # major tick size in points
-#ytick.minor.size : 2 # minor tick size 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 : 12 # 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.isaxes : True
-#legend.numpoints : 2 # the number of points in the legend line
-#legend.fontsize : 14
-#legend.pad : 0.2 # the fractional whitespace inside the legend border
-#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/matplotlib.figure.html#Figure
figure.figsize : 6, 4 # figure size in inches
-#figure.dpi : 80 # figure dots per inch
-#figure.facecolor : 0.75 # figure facecolor; 0.75 is scalar gray
-#figure.edgecolor : white # figure edgecolor
-
-# The figure subplot parameters. All dimensions are fraction of the
-# figure width or height
-#figure.subplot.left : 0.15 # 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 : 0.15 # the bottom of the subplots of the figure
-#figure.subplot.top : 0.9 # the top of the subplots of the figure
-#figure.subplot.wspace : 0.2 # the amount of width reserved for blank space between subplots
-#figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots
-
-#figure.autolayout : False # when True, adjust the axes so that text doesn't overlap
-
-### 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
-
-
-### CONTOUR PLOTS
-#contour.negative_linestyle : dashed # dashed | solid
-
-### SAVING FIGURES
-# the default savefig params can be different for the GUI backends.
-# 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.format : png # png, ps, pdf, svg
-
-# tk backend params
-#tk.window_focus : False # Maintain shell focus for TkAgg
-#tk.pythoninspect : False # tk sets PYTHONINSEPCT
-
-# 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_chars : True # embed character outlines in the SVG file
-
-# 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 you 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
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