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matplotlib.rcsetup		index
/home/jdhunter/dev/lib/python2.5/site-packages/matplotlib/rcsetup.py

This file contains the default values and the validation code for the options.
 
The code for parsing the matplotlibrc file and setting the values of rcParams
uses the values from this file to set default values.
 
Ultimately, the setup code should also use these values to write a default
matplotlibrc file that actually reflects the values given here.

 
Modules
       
os

 
Classes
       
ValidateInStrings
ValidateInterval
validate_nseq_float
validate_nseq_int

 
class ValidateInStrings
     Methods defined here:
__call__(self, s)
__init__(self, key, valid, ignorecase=False)
valid is a list of legal strings

 
class ValidateInterval
    Value must be in interval
 
  Methods defined here:
__call__(self, s)
__init__(self, vmin, vmax, closedmin=True, closedmax=True)

 
class validate_nseq_float
     Methods defined here:
__call__(self, s)
return a seq of n floats or raise
__init__(self, n)

 
class validate_nseq_int
     Methods defined here:
__call__(self, s)
return a seq of n ints or raise
__init__(self, n)

 
Functions
       
validate_aspect(s)
validate_bool(b)
Convert b to a boolean or raise
validate_color(s)
return a valid color arg
validate_float(s)
convert s to float or raise
validate_font_properties(s)
validate_fontsize(s)
validate_fonttype(s)
confirm that this is a Postscript of PDF font type that we know how to convert to
validate_int(s)
convert s to int or raise
validate_negative_linestyle_legacy(s)
validate_path_exists(s)
If s is a path, return s, else False
validate_ps_distiller(s)
validate_stringlist(s)
return a list

 
Data
        defaultParams = {'axes.axisbelow': [False, <function validate_bool at 0x82bbd84>], 'axes.edgecolor': ['k', <function validate_color at 0x82bbe64>], 'axes.facecolor': ['w', <function validate_color at 0x82bbe64>], 'axes.formatter.limits': [[-7, 7], <matplotlib.rcsetup.validate_nseq_int instance at 0x82ed4cc>], 'axes.grid': [False, <function validate_bool at 0x82bbd84>], 'axes.hold': [True, <function validate_bool at 0x82bbd84>], 'axes.labelcolor': ['k', <function validate_color at 0x82bbe64>], 'axes.labelsize': [12, <function validate_fontsize at 0x82ec02c>], 'axes.linewidth': [1.0, <function validate_float at 0x82bbdbc>], 'axes.titlesize': [14, <function validate_fontsize at 0x82ec02c>], ...}
validate_backend = <matplotlib.rcsetup.ValidateInStrings instance at 0xb7acb64c>
validate_cairo_format = <matplotlib.rcsetup.ValidateInStrings instance at 0x82ea6ac>
validate_capstyle = <matplotlib.rcsetup.ValidateInStrings instance at 0x82eaacc>
validate_fontset = <matplotlib.rcsetup.ValidateInStrings instance at 0x82ea66c>
validate_joinstyle = <matplotlib.rcsetup.ValidateInStrings instance at 0x82ea76c>
validate_legend_loc = <matplotlib.rcsetup.ValidateInStrings instance at 0x82eabac>
validate_negative_linestyle = <matplotlib.rcsetup.ValidateInStrings instance at 0x82eab4c>
validate_numerix = <matplotlib.rcsetup.ValidateInStrings instance at 0xb7ac9f4c>
validate_orientation = <matplotlib.rcsetup.ValidateInStrings instance at 0x82ea5ec>
validate_ps_papersize = <matplotlib.rcsetup.ValidateInStrings instance at 0x82ea6cc>
validate_toolbar = <matplotlib.rcsetup.ValidateInStrings instance at 0x82ea56c>
validate_verbose = <matplotlib.rcsetup.ValidateInStrings instance at 0x82ea68c>
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