From 259add178e1b25a77462c15a6d2be31b88127372 Mon Sep 17 00:00:00 2001 From: einarr Date: Tue, 19 Jan 2010 16:53:35 +0000 Subject: [PATCH] Removed matplotlibrc --- matplotlibrc | 256 --------------------------------------------------- 1 file changed, 256 deletions(-) delete mode 100644 matplotlibrc diff --git a/matplotlibrc b/matplotlibrc deleted file mode 100644 index 33a9001..0000000 --- a/matplotlibrc +++ /dev/null @@ -1,256 +0,0 @@ -### 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.markerfacecolor : blue -#lines.markeredgecolor : black -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 : 0.9 # axes background color -axes.edgecolor : black # axes edge color -axes.linewidth : 1.0 # edge linewidth -axes.grid : True # display grid or not -axes.titlesize : 12 # fontsize of the axes title -axes.labelsize : 10 # fontsize of the x any y labels -axes.labelcolor : black -axes.axisbelow : True # 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 : 0 # minor tick size in points -xtick.major.pad : 2 # distance to major tick label in points -xtick.minor.pad : 2 # distance to the minor tick label in points -xtick.color : k # color of the tick labels -xtick.labelsize : 8 # fontsize of the tick labels -xtick.direction : in # direction: in or out - -ytick.major.size : 4 # major tick size in points -ytick.minor.size : 0 # minor tick size in points -ytick.major.pad : 2 # distance to major tick label in points -ytick.minor.pad : 2 # distance to the minor tick label in points -ytick.color : k # color of the tick labels -ytick.labelsize : 8 # fontsize of the tick labels -ytick.direction : in # direction: in or out - - -### GRIDS -grid.color : 0.85 # grid color -grid.linestyle : : # dotted -grid.linewidth : 0.5 # in points - -### Legend -legend.isaxes : True -legend.numpoints : 4 # the number of points in the legend line -legend.fontsize : 12 -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 : 5, 4 # figure size in inches -figure.dpi : 72 # figure dots per inch -figure.facecolor : white # 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 : 0.1 # the left side of the subplots of the figure -figure.subplot.right : 0.975 # 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 : 0.90 # the top of the subplots of the figure -figure.subplot.wspace : 0.1 # the amount of width reserved for blank space between subplots -figure.subplot.hspace : 0.1 # 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 : dashed # 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 : A4 # 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) - -# 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