257 lines
12 KiB
Plaintext
257 lines
12 KiB
Plaintext
### MATPLOTLIBRC FORMAT
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# This is a sample matplotlib configuration file. It should be placed
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# in HOME/.matplotlib/matplotlibrc (unix/linux like systems) and
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# C:\Documents and Settings\yourname\.matplotlib (win32 systems)
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#
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# By default, the installer will overwrite the existing file in the
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# install path, so if you want to preserve your's, please move it to
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# your HOME dir and set the environment variable if necessary.
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#
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# This file is best viewed in a editor which supports python mode
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# syntax highlighting
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#
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# Blank lines, or lines starting with a comment symbol, are ignored,
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# as are trailing comments. Other lines must have the format
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#
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# key : val # optional comment
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#
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# Colors: for the color values below, you can either use
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# - a matplotlib color string, such as r, k, or b
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# - an rgb tuple, such as (1.0, 0.5, 0.0)
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# - a hex string, such as ff00ff (no '#' symbol)
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# - a scalar grayscale intensity such as 0.75
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# - a legal html color name, eg red, blue, darkslategray
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#### CONFIGURATION BEGINS HERE
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# the default backend; one of GTK GTKAgg GTKCairo FltkAgg QtAgg TkAgg
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# Agg Cairo GD GDK Paint PS PDF SVG Template
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backend : GTKAgg
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numerix : numpy # numpy, Numeric or numarray
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interactive : False # see http://matplotlib.sourceforge.net/interactive.html
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toolbar : toolbar2 # None | classic | toolbar2
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timezone : UTC # a pytz timezone string, eg US/Central or Europe/Paris
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# Where your matplotlib data lives if you installed to a non-default
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# location. This is where the matplotlib fonts, bitmaps, etc reside
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#datapath : /home/jdhunter/mpldata
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### LINES
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# See http://matplotlib.sourceforge.net/matplotlib.lines.html for more
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# information on line properties.
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lines.linewidth : 1.0 # line width in points
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lines.linestyle : - # solid line
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lines.color : blue
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lines.marker : None # the default marker
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lines.markerfacecolor : blue
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lines.markeredgecolor : black
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lines.markeredgewidth : 0.5 # the line width around the marker symbol
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lines.markersize : 6 # markersize, in points
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lines.dash_joinstyle : miter # miter|round|bevel
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lines.dash_capstyle : butt # butt|round|projecting
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lines.solid_joinstyle : miter # miter|round|bevel
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lines.solid_capstyle : projecting # butt|round|projecting
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lines.antialiased : True # render lines in antialised (no jaggies)
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### PATCHES
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# Patches are graphical objects that fill 2D space, like polygons or
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# circles. See
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# http://matplotlib.sourceforge.net/matplotlib.patches.html for more
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# information on patch properties
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patch.linewidth : 1.0 # edge width in points
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patch.facecolor : blue
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patch.edgecolor : black
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patch.antialiased : True # render patches in antialised (no jaggies)
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### FONT
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#
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# font properties used by text.Text. See
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# http://matplotlib.sourceforge.net/matplotlib.font_manager.html for more
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# information on font properties. The 6 font properties used for font
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# matching are given below with their default values.
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#
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# The font.family property has five values: 'serif' (e.g. Times),
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# 'sans-serif' (e.g. Helvetica), 'cursive' (e.g. Zapf-Chancery),
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# 'fantasy' (e.g. Western), and 'monospace' (e.g. Courier). Each of
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# these font families has a default list of font names in decreasing
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# order of priority associated with them.
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#
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# The font.style property has three values: normal (or roman), italic
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# or oblique. The oblique style will be used for italic, if it is not
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# present.
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#
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# The font.variant property has two values: normal or small-caps. For
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# TrueType fonts, which are scalable fonts, small-caps is equivalent
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# to using a font size of 'smaller', or about 83% of the current font
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# size.
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#
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# The font.weight property has effectively 13 values: normal, bold,
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# bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as
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# 400, and bold is 700. bolder and lighter are relative values with
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# respect to the current weight.
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#
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# The font.stretch property has 11 values: ultra-condensed,
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# extra-condensed, condensed, semi-condensed, normal, semi-expanded,
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# expanded, extra-expanded, ultra-expanded, wider, and narrower. This
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# property is not currently implemented.
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#
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# The font.size property is the default font size for text, given in pts.
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# 12pt is the standard value.
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#
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font.family : sans-serif
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font.style : normal
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font.variant : normal
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font.weight : medium
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font.stretch : normal
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# note that font.size controls default text sizes. To configure
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# special text sizes tick labels, axes, labels, title, etc, see the rc
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# settings for axes and ticks. Special text sizes can be defined
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# relative to font.size, using the following values: xx-small, x-small,
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# small, medium, large, x-large, xx-large, larger, or smaller
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font.size : 12.0
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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
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font.sans-serif : Bitstream Vera Sans, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
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font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, cursive
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font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy
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font.monospace : Bitstream Vera Sans Mono, Andale Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
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### TEXT
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# text properties used by text.Text. See
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# http://matplotlib.sourceforge.net/matplotlib.text.html for more
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# information on text properties
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text.color : black
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text.usetex : False # use latex for all text handling. For more information, see
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# http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
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text.dvipnghack : False # some versions of dvipng don't handle
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# alpha channel properly. Use True to correct and flush
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# ~/.matplotlib/tex.cache before testing
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### AXES
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# default face and edge color, default tick sizes,
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# default fontsizes for ticklabels, and so on. See
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# http://matplotlib.sourceforge.net/matplotlib.axes.html#Axes
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axes.hold : True # whether to clear the axes by default on
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axes.facecolor : 0.6 # axes background color
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axes.edgecolor : black # axes edge color
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axes.linewidth : 1.0 # edge linewidth
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axes.grid : True # display grid or not
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axes.titlesize : 12 # fontsize of the axes title
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axes.labelsize : 10 # fontsize of the x any y labels
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axes.labelcolor : black
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axes.axisbelow : True # whether axis gridlines and ticks are below
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# the axes elements (lines, text, etc)
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polaraxes.grid : True # display grid on polar axes
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### TICKS
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# see http://matplotlib.sourceforge.net/matplotlib.axis.html#Ticks
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xtick.major.size : 4 # major tick size in points
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xtick.minor.size : 0 # minor tick size in points
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xtick.major.pad : 2 # distance to major tick label in points
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xtick.minor.pad : 2 # distance to the minor tick label in points
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xtick.color : k # color of the tick labels
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xtick.labelsize : 8 # fontsize of the tick labels
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xtick.direction : in # direction: in or out
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ytick.major.size : 4 # major tick size in points
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ytick.minor.size : 0 # minor tick size in points
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ytick.major.pad : 2 # distance to major tick label in points
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ytick.minor.pad : 2 # distance to the minor tick label in points
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ytick.color : k # color of the tick labels
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ytick.labelsize : 8 # fontsize of the tick labels
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ytick.direction : in # direction: in or out
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### GRIDS
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grid.color : 0.85 # grid color
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grid.linestyle : : # dotted
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grid.linewidth : 0.5 # in points
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### Legend
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legend.isaxes : True
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legend.numpoints : 4 # the number of points in the legend line
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legend.fontsize : 12
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legend.pad : 0.2 # the fractional whitespace inside the legend border
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legend.markerscale : 1.0 # the relative size of legend markers vs. original
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# the following dimensions are in axes coords
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legend.labelsep : 0.010 # the vertical space between the legend entries
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legend.handlelen : 0.05 # the length of the legend lines
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legend.handletextsep : 0.02 # the space between the legend line and legend text
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legend.axespad : 0.02 # the border between the axes and legend edge
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legend.shadow : False
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### FIGURE
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# See http://matplotlib.sourceforge.net/matplotlib.figure.html#Figure
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figure.figsize : 5, 4 # figure size in inches
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figure.dpi : 72 # figure dots per inch
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figure.facecolor : white # figure facecolor; 0.75 is scalar gray
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figure.edgecolor : white # figure edgecolor
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# The figure subplot parameters. All dimensions are fraction of the
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# figure width or height
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figure.subplot.left : 0.1 # the left side of the subplots of the figure
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figure.subplot.right : 0.975 # the right side of the subplots of the figure
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figure.subplot.bottom : 0.1 # the bottom of the subplots of the figure
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figure.subplot.top : 0.90 # the top of the subplots of the figure
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figure.subplot.wspace : 0.1 # the amount of width reserved for blank space between subplots
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figure.subplot.hspace : 0.1 # the amount of height reserved for white space between subplots
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### IMAGES
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image.aspect : equal # equal | auto | a number
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image.interpolation : bilinear # see help(imshow) for options
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image.cmap : jet # gray | jet etc...
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image.lut : 256 # the size of the colormap lookup table
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image.origin : upper # lower | upper
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### CONTOUR PLOTS
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contour.negative_linestyle : 6.0, 6.0 # negative contour dashstyle (size in points)
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### SAVING FIGURES
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# the default savefig params can be different for the GUI backends.
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# Eg, you may want a higher resolution, or to make the figure
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# background white
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savefig.dpi : 100 # figure dots per inch
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savefig.facecolor : white # figure facecolor when saving
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savefig.edgecolor : white # figure edgecolor when saving
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# tk backend params
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tk.window_focus : False # Maintain shell focus for TkAgg
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tk.pythoninspect : False # tk sets PYTHONINSEPCT
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# ps backend params
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ps.papersize : A4 # auto, letter, legal, ledger, A0-A10, B0-B10
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ps.useafm : False # use of afm fonts, results in small files
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ps.usedistiller : False # can be: None, ghostscript or xpdf
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# Experimental: may produce smaller files.
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# xpdf intended for production of publication quality files,
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# but requires ghostscript, xpdf and ps2eps
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ps.distiller.res : 6000 # dpi
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# pdf backend params
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pdf.compression : 6 # integer from 0 to 9
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# 0 disables compression (good for debugging)
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# Set the verbose flags. This controls how much information
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# matplotlib gives you at runtime and where it goes. Ther verbosity
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# levels are: silent, helpful, debug, debug-annoying. Any level is
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# inclusive of all the levels below it. If you setting is debug,
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# you'll get all the debug and helpful messages. When submitting
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# problems to the mailing-list, please set verbose to helpful or debug
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# and paste the output into your report.
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#
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# The fileo gives the destination for any calls to verbose.report.
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# These objects can a filename, or a filehandle like sys.stdout.
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#
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# You can override the rc default verbosity from the command line by
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# giving the flags --verbose-LEVEL where LEVEL is one of the legal
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# levels, eg --verbose-helpful.
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#
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# You can access the verbose instance in your code
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# from matplotlib import verbose.
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verbose.level : silent # one of silent, helpful, debug, debug-annoying
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verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr
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