matplotlib Code

260 lines (230 with data), 12.2 kB

### 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
#     Agg Cairo GD GDK Paint PS PDF SVG Template
backend      : GTKAgg
numerix      : numpy  # numpy, Numeric or numarray
#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
#text.usetex         : False  # use latex for all text handling.  For more information, see
                             # http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
#text.dvipnghack     : False  # some versions of dvipng don't handle
                             # alpha channel properly.  Use True to correct and flush
                             # ~/.matplotlib/tex.cache before testing

### 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)  
                      

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   : 8, 6    # figure size in inches
#figure.dpi       : 80      # figure dots per inch
#figure.facecolor : 0.75    # figure facecolor; 0.75 is scalar gray
#figure.edgecolor : white   # figure edgecolor

# 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 : 0.2   # the amount of height reserved for white space between subplots


### IMAGES
#image.aspect : equal             # equal | auto | a number
#image.interpolation  : bilinear  # see help(imshow) for options
#image.cmap   : jet               # gray | jet etc...
#image.lut    : 256               # the size of the colormap lookup table
#image.origin : upper             # lower | upper


### CONTOUR PLOTS
#contour.negative_linestyle :  6.0, 6.0 # negative contour dashstyle (size in points)

### 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

# 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

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

# 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

# Set the verbose flags.  This controls how much information
# matplotlib gives you at runtime and where it goes.  Ther 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