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This is a matlab(TM) style functional interface the matplotlib.

The following matlab(TM) compatible commands are provided by

   >>> from pylab import *

Plotting commands

  axes     - Create a new axes
  axhline  - draw a horizontal line across axes
  axvline  - draw a vertical line across axes
  axhspan  - draw a horizontal bar across axes
  axvspan  - draw a vertical bar across axes 
  axis     - Set or return the current axis limits
  bar      - make a bar chart
  barh     - a horizontal bar chart  
  boxplot  - make a box and whisker plot
  cla      - clear current axes
  clf      - clear a figure window
  close    - close a figure window
  colorbar - add a colorbar to the current figure
  cohere   - make a plot of coherence
  contour  - make a contour plot
  csd      - make a plot of cross spectral density  
  draw     - Force a redraw of the current figure
  errorbar - make an errorbar graph
  figlegend - make legend on the figure rather than the axes
  figimage  - make a figure image
  figtext   - add text in figure coords
  figure   - create or change active figure
  fill     - make filled polygons
  gca      - return the current axes
  gcf      - return the current figure
  gci      - get the current image, or None
  get      - get a handle graphics property
  gray     - set the current colormap to gray
  jet      - set the current colormap to jet
  hist     - make a histogram
  hold     - set the axes hold state
  legend   - make an axes legend
  loglog   - a log log plot
  imread   - load image file into array
  imshow   - plot image data
  pcolor   - make a pseudocolor plot
  plot     - make a line plot
  psd      - make a plot of power spectral density
  rc       - control the default params
  savefig  - save the current figure
  scatter  - make a scatter plot
  set      - set a handle graphics property
  semilogx - log x axis
  semilogy - log y axis
  show     - show the figures
  specgram - a spectrogram plot
  stem     - make a stem plot
  subplot  - make a subplot (numrows, numcols, axesnum)
  table    - add a table to the plot
  text     - add some text at location x,y to the current axes
  title    - add a title to the current axes
  xlim     - set/get the xlimits
  ylim     - set/get the ylimits
  xticks   - set/get the xticks
  yticks   - set/get the yticks
  xlabel   - add an xlabel to the current axes
  ylabel   - add a ylabel to the current axes

Matrix commands

  cumprod   - the cumulative product along a dimension
  cumsum    - the cumulative sum along a dimension
  detrend   - remove the mean or besdt fit line from an array
  diag      - the k-th diagonal of matrix 
  diff      - the n-th differnce of an array
  eig       - the eigenvalues and eigen vectors of v
  eye       - a matrix where the k-th diagonal is ones, else zero 
  find      - return the indices where a condition is nonzero  
  fliplr    - flip the rows of a matrix up/down
  flipud    - flip the columns of a matrix left/right
  linspace  - a linear spaced vector of N values from min to max inclusive
  ones      - an array of ones
  rand      - an array from the uniform distribution [0,1]
  randn     - an array from the normal distribution
  rot90     - rotate matrix k*90 degress counterclockwise
  squeeze   - squeeze an array removing any dimensions of length 1
  tri       - a triangular matrix
  tril      - a lower triangular matrix
  triu      - an upper triangular matrix
  vander    - the Vandermonde matrix of vector x
  svd       - singular value decomposition
  zeros     - a matrix of zeros

  levypdf   - The levy probability density function from the char. func.
  normpdf   - The Gaussian probability density function
  rand      - random numbers from the uniform distribution
  randn     - random numbers from the normal distribution


  corrcoef  - correlation coefficient
  cov       - covariance matrix
  max       - the maximum along dimension m
  mean      - the mean along dimension m
  median    - the median along dimension m
  min       - the minimum along dimension m
  norm      - the norm of vector x
  prod      - the product along dimension m
  ptp       - the max-min along dimension m
  std       - the standard deviation along dimension m
  sum       - the sum along dimension m

Time series analysis

  bartlett  - M-point Bartlett window
  blackman  - M-point Blackman window
  cohere    - the coherence using average periodiogram
  csd       - the cross spectral density using average periodiogram
  fft       - the fast Fourier transform of vector x
  hamming   - M-point Hamming window
  hanning   - M-point Hanning window
  hist      - compute the histogram of x
  kaiser    - M length Kaiser window
  psd       - the power spectral density using average periodiogram
  sinc      - the sinc function of array x


  angle     - the angle of a complex array
  polyfit   - fit x, y to an n-th order polynomial
  polyval   - evaluate an n-th order polynomial
  roots     - the roots of the polynomial coefficients in p
  trapz     - trapezoidal integration

Credits: The plotting commands were provided by
John D. Hunter <jdhunter@ace.bsd.uhicago.edu>

Most of the other commands are from the Numeric, MLab and FFT, with
the exception of those in mlab.py provided by matplotlib.
from __future__ import generators

__version__  = '0.82'
__revision__ = '$Revision: 1.65 $'
__date__     = '$Date: 2005/06/15 18:27:37 $'

import sys, os, warnings
import distutils.sysconfig

if not hasattr(sys, 'argv'):  # for modpython
    sys.argv = ['modpython']

Manage user customizations through a rc file.

The default file location is given in the following order

  - environment variable MATPLOTLIBRC

  - HOME/.matplotlibrc if HOME is defined

  - PATH/.matplotlibrc where PATH is the return value of

import sys, os

major, minor1, minor2, s, tmp = sys.version_info
_python23 = major>=2 and minor1>=3

_havemath = _python23

    import datetime
    import dateutil
    import pytz
except ImportError: _havedate = False
else: _havedate = True

if not _python23:
    def enumerate(seq):
         for i in range(len(seq)):
             yield i, seq[i]

00189 class Verbose:
    A class to handle reporting.  Set the fileo attribute to any file
    instance to handle the output.  Default is sys.stdout
    levels = ('silent', 'helpful', 'debug', 'debug-annoying')
    vald = dict( [(level, i) for i,level in enumerate(levels)])

    # parse the verbosity from the command line; flags look like
    # --verbose-silent or --verbose-helpful
    _commandLineVerbose = None

    for arg in sys.argv[1:]:
        if not arg.startswith('--verbose-'): continue
        _commandLineVerbose = arg[10:]

    def __init__(self, level):
        self.fileo = sys.stdout
    def set_level(self, level):
        'set the verbosity to one of the Verbose.levels strings'

        if self._commandLineVerbose is not None:
            level = self._commandLineVerbose
        if level not in self.levels:
            raise ValueError('Illegal verbose string "%s".  Legal values are %s'%(level, self.levels))
        self.level = level

00221     def report(self, s, level='helpful'):
        print message s to self.fileo if self.level>=level.  Return
        value indicates whether a message was issued
        if self.ge(level):
            print >>self.fileo, s
            return True
        return False

00234     def wrap(self, fmt, func, level='helpful', always=True):
        return a callable function that wraps func and reports it
        output through the verbose handler if current verbosity level
        is higher than level

        if always is True, the report will occur on every function
        call; otherwise only on the first time the function is called
        assert(callable, func)
        def wrapper(*args, **kwargs):
            ret = func(*args, **kwargs)

            if (always or not wrapper._spoke):
                spoke = self.report(fmt%ret, level)
                if not wrapper._spoke: wrapper._spoke = spoke
            return ret
        wrapper._spoke = False
        wrapper.__doc__ = func.__doc__
        return wrapper

    def ge(self, level):
        'return true if self.level is >= level'
        return self.vald[self.level]>=self.vald[level]


00262 def get_home():
    return the users HOME dir across platforms or None.
    On win32, if either HOME is not set or HOME is set but doesn't
    exist, the value of USERPROFILE will be used instead.

    if os.environ.has_key('HOME'):
        path = os.environ['HOME']
        if os.path.exists(path): return path

    if sys.platform=='win32' and os.environ.has_key('USERPROFILE'):
        path = os.environ['USERPROFILE']
        if os.path.exists(path): return path

    return None

def _get_data_path():
    'get the path to matplotlib data'

    if os.environ.has_key('MATPLOTLIBDATA'):
        path = os.environ['MATPLOTLIBDATA']
        if os.path.isdir(path): return path

    path = os.path.join(distutils.sysconfig.PREFIX, 'share', 'matplotlib')
    if os.path.isdir(path): return path

    path = '/usr/local/share/matplotlib'
    if os.path.isdir(path): return path

    path = '/usr/share/matplotlib'
    if os.path.isdir(path): return path

    path = os.path.join(os.sep.join(__file__.split(os.sep)[:-1]), 
    if os.path.isdir(path): return path

    path = os.path.join(os.sep.join(__file__.split(os.sep)[:-5]), 
    if os.path.isdir(path): return path

    # CODE ADDED TO SUPPORT PY2EXE - you will need to copy
    # C:\Python23\share\matplotlib into your dist dir.  See
    # http://starship.python.net/crew/theller/moin.cgi/MatPlotLib
    # for more info

    if sys.platform=='win32' and sys.frozen: 
        path = os.path.join(os.path.split(sys.path[0])[0], 'matplotlibdata') 
        if os.path.isdir(path):  return path 
            # Try again assuming sys.path[0] is a dir not a exe 
            path = os.path.join(sys.path[0], 'matplotlibdata') 
            if os.path.isdir(path): return path

    raise RuntimeError('Could not find the matplotlib data files')

get_data_path = verbose.wrap('matplotlib data path %s', _get_data_path, always=False)

def validate_path_exists(s):
    'If s is a path, return s, else False'
    if os.path.exists(s): return s
        raise RuntimeError('"%s" should be a path but it does not exist'%s)

def validate_bool(b):
    'Convert b to a boolean or raise'
    bl = b.lower()
    if bl in ('f', 'no', 'false', '0', 0): return False
    elif bl in ('t', 'yes', 'true', '1', 1): return True
        raise ValueError('Could not convert "%s" to boolean' % b)

def validate_float(s):
    'convert s to float or raise'
    try: return float(s)
    except ValueError:
        raise ValueError('Could not convert "%s" to float' % s)

def validate_int(s):
    'convert s to float or raise'
    try: return int(s)
    except ValueError:
        raise ValueError('Could not convert "%s" to int' % s)
def validate_numerix(s):
    'return "Numeric" or "Numarray" or raise'
    sl = s.lower()
    if sl=='numeric': return 'Numeric'
    elif sl=='numarray': return 'numarray'
        raise ValueError('Numerix must be Numeric or numarray')

00357 def validate_toolbar(s):
    return toolbar string 'None', 'classic', 'toolbar2'
    s = s.lower()
    if s=='none': return 'None'
    elif s=='classic': return s
    elif s=='toolbar2': return s    
        raise ValueError('toolbar must be None | classic | toolbar2')

class validate_nseq_float:
    def __init__(self, n):
        self.n = n
    def __call__(self, s):
        'return a seq of n floats or raise'
        ss = s.split(',')
        if len(ss) != self.n:
            raise ValueError('You must use exactly %d comma separated values'%self.n)
        try: return [float(val) for val in ss]
        except ValueError:
            raise ValueError('Could not convert all entries to floats')

def validate_color(s):
    'return a valid color arg'
    if s.lower() == 'none': return 'None'
    if len(s)==1 and s.isalpha(): return s
    if s.find(',')>=0: # looks like an rgb
        # get rid of grouping symbols
        s = ''.join([ c for c in s if c.isdigit() or c=='.' or c==','])
        vals = s.split(',')
        if len(vals)!=3:
            raise ValueError('Color tuples must be length 3')
        try: return [float(val) for val in vals]
        except ValueError:
            raise ValueError('Could not convert all entries "%s" to floats'%s)

    if s.replace('.', '').isdigit(): # looks like scalar
        try: return float(s)
        except ValueError:
            raise ValueError('Could not convert "%s" to float' % s)

    if len(s)==6 and s.isalnum(): # looks like hex
        return '#' + s

    if s.isalpha(): 
        #assuming a color name, hold on
        return s

    raise ValueError('"s" does not look like color arg')    

def validate_comma_sep_str(s):
    'return a list'
    ss = s.split(',')
        return [val.strip() for val in ss]
    except ValueError:
        raise ValueError('Could not convert all entries to strings')

class ValidateInStrings:
    def __init__(self, valid, ignorecase=False):
        'valid is a list of legal strings'
        self.ignorecase = ignorecase
        def func(s):
            if ignorecase: return s.lower()
            else: return s
        self.validd = dict([(func(k),1) for k in valid])

    def __call__(self, s):
        if self.ignorecase: s = s.lower()
        if s in self.validd: return s
        raise ValueError('Unrecognized string "%s": valid strings are %s'%(s, self.validd.keys()))

validate_orientation = ValidateInStrings(['landscape', 'portrait'])

def validate_fontsize(s):
    if s.lower() in ['xx-small', 'x-small', 'small', 'medium', 'large', 'x-large',
             'xx-large', 'smaller', 'larger']:
        return s.lower()
        return float(s)
    except ValueError:
        raise ValueError('not a valid font size')

def validate_verbose(s):
    return verbose

def validate_verbose_fileo(s):
    d = {'sys.stdout':sys.stdout,
    if d.has_key(s): verbose.fileo = d[s]
        try: fileo = file(s, 'w')
        except IOError:
            raise ValueError('Verbose object could not open log file "%s" for writing.\nCheck your matplotlibrc verbose.fileo setting'%s)

            verbose.fileo = fileo
    return verbose.fileo

validate_ps_papersize = ValidateInStrings([
        'executive', 'letter', 'legal', 'ledger',
        'a0', 'a1', 'a2','a3', 'a4', 'a5', 'a6', 'a7', 'a8', 'a9', 'a10',
        'b0', 'b1', 'b2', 'b3', 'b4', 'b5', 'b6',
        'c0', 'c1', 'c2', 'c3', 'c4', 'c5', 'c6'
        ], ignorecase=True)

validate_tex_engine = ValidateInStrings(['tex', 'latex'], ignorecase=True)

validate_joinstyle = ValidateInStrings(['miter', 'round', 'bevel'], ignorecase=True)

validate_capstyle = ValidateInStrings(['butt', 'round', 'projecting'], ignorecase=True)

00480 class ValidateInterval:
    Value must be in interval 
    def __init__(self, vmin, vmax, closedmin=True, closedmax=True):
        self.vmin = vmin
        self.vmax = vmax
        self.cmin = closedmin
        self.cmax = closedmax

    def __call__(self, s):
        try: s = float(s)
        except: raise RuntimeError('Value must be a float; found "%s"'%s)

        if self.cmin and s<self.vmin:
            raise RuntimeError('Value must be >= %f; found "%f"'%(self.vmin, s))
        elif not self.cmin and s<=self.vmin:
            raise RuntimeError('Value must be > %f; found "%f"'%(self.vmin, s))

        if self.cmax and s>self.vmax:
            raise RuntimeError('Value must be <= %f; found "%f"'%(self.vmax, s))
        elif not self.cmax and s>=self.vmax:
            raise RuntimeError('Value must be < %f; found "%f"'%(self.vmax, s))
        return s

# a map from key -> value, converter
defaultParams = {
    'backend'           : ['GTK', str],
    'numerix'           : ['Numeric', validate_numerix],
    'toolbar'           : ['toolbar2', validate_toolbar],
    'datapath'          : [get_data_path(), validate_path_exists],
    'interactive'       : [False, validate_bool],
    'timezone'          : ['UTC', str],    

    # the verbosity setting
    'verbose.level'           : ['silent', validate_verbose],
    'verbose.fileo'           : ['sys.stdout', validate_verbose_fileo],

    # line props    
    'lines.linewidth'   : [0.5, validate_float],     # line width in points
    'lines.linestyle'   : ['-', str],                # solid line
    'lines.color'       : ['b', validate_color],     # blue
    'lines.marker'       : ['None', str],     # black
    'lines.markeredgecolor'       : ['k', validate_color],     # black
    'lines.markerfacecolor'       : ['b', validate_color],     # blue
    'lines.markeredgewidth'       : [0.5, validate_float],     
    'lines.markersize'  : [6, validate_float],       # markersize, in points
    'lines.antialiased' : [True, validate_bool],     # antialised (no jaggies)
    'lines.dash_joinstyle' : ['miter', validate_joinstyle],
    'lines.solid_joinstyle' : ['miter', validate_joinstyle],    
    'lines.dash_capstyle' : ['butt', validate_capstyle],
    'lines.solid_capstyle' : ['projecting', validate_capstyle],       
    'lines.data_clipping' : [False, validate_bool],  # clip data

    # patch props    
    'patch.linewidth'   : [0.5, validate_float], # line width in points
    'patch.edgecolor'   : ['k', validate_color], # black
    'patch.facecolor'   : ['b', validate_color], # blue
    'patch.antialiased' : [True, validate_bool], # antialised (no jaggies)

    # font props
    'font.family'       : ['serif', str],            # used by text object
    'font.style'        : ['normal', str],           #
    'font.variant'      : ['normal', str],           #
    'font.stretch'      : ['normal', str],           # 
    'font.weight'       : ['normal', str],           #
    'font.size'         : ['medium', validate_fontsize], #
    'font.serif'        : ['serif', validate_comma_sep_str],
    'font.sans-serif'   : ['sans-serif', validate_comma_sep_str],
    'font.cursive'      : ['cursive', validate_comma_sep_str],
    'font.fantasy'      : ['fantasy', validate_comma_sep_str],
    'font.monospace'    : ['monospace', validate_comma_sep_str],
    'font.latex.package': ['type1cm', str],          # LaTeX font package: txfonts, pslatex, ...

    # text props
    'text.color'        : ['k', validate_color],     # black
    'text.usetex'       : [False, validate_bool],
    'text.tex.engine'   : ['tex', validate_tex_engine], # TeX or LaTeX
    'text.fontstyle'    : ['normal', str],
    'text.fontangle'    : ['normal', str],
    'text.fontvariant'  : ['normal', str],
    'text.fontweight'   : ['normal', str],
    'text.fontsize'     : ['medium', validate_fontsize],

    'image.aspect' : ['free', str],  # free| preserve
    'image.interpolation'  : ['bilinear', str], 
    'image.cmap'   : ['gray', str],        # one of gray, jet, etc
    'image.lut'    : [256, validate_int],  # lookup table
    'image.origin'    : ['upper', str],  # lookup table    

    # axes props
    'axes.hold'         : [True, validate_bool],    
    'axes.facecolor'    : ['w', validate_color],    # background color; white
    'axes.edgecolor'    : ['k', validate_color],    # edge color; black
    'axes.linewidth'    : [1.0, validate_float],    # edge linewidth
    'axes.titlesize'    : ['large', validate_fontsize], # fontsize of the axes title
    'axes.grid'         : [False, validate_bool],   # display grid or not
    'axes.labelsize'    : ['medium', validate_fontsize], # fontsize of the x any y labels
    'axes.labelcolor'   : ['k', validate_color],    # color of axis label

    'polaraxes.grid'         : [True, validate_bool],   # display polar grid or not    

    # tick properties
    'tick.major.size'   : [5, validate_float],      # major tick size in points
    'tick.minor.size'   : [2, validate_float],      # minor tick size in points    
    'tick.major.pad'   : [3, validate_float],      # distance to label in points
    'tick.minor.pad'   : [3, validate_float],      # distance to label in points
    'tick.color'        : ['k', validate_color],    # color of the tick labels 
    'tick.labelsize'    : ['small', validate_fontsize], # fontsize of the tick labels

    'grid.color'       :   ['k', validate_color],       # grid color
    'grid.linestyle'   :   [':', str],       # dotted
    'grid.linewidth'   :   ['0.5', validate_float],     # in points            

    # figure props
    # figure size in inches: width by height
    'figure.figsize'    : [ (8,6), validate_nseq_float(2)], 
    'figure.dpi'        : [ 80, validate_float],   # DPI
    'figure.facecolor'  : [ 0.75, validate_color], # facecolor; scalar gray
    'figure.edgecolor'  : [ 'w', validate_color],  # edgecolor; white

    'figure.subplot.left'   : [0.125, ValidateInterval(0, 1, closedmin=False, closedmax=False)],
    'figure.subplot.right'  : [0.9, ValidateInterval(0, 1, closedmin=False, closedmax=False)],
    'figure.subplot.bottom' : [0.1, ValidateInterval(0, 1, closedmin=False, closedmax=False)],
    'figure.subplot.top'    : [0.9, ValidateInterval(0, 1, closedmin=False, closedmax=False)],
    'figure.subplot.wspace' : [0.2, ValidateInterval(0, 1, closedmin=False, closedmax=True)],
    'figure.subplot.hspace' : [0.2, ValidateInterval(0, 1, closedmin=False, closedmax=True)],                    

    'savefig.dpi'       : [ 150, validate_float],   # DPI
    'savefig.facecolor' : [ 'w', validate_color],  # facecolor; white
    'savefig.edgecolor' : [ 'w', validate_color],  # edgecolor; white
    'savefig.orientation' : [ 'portait', validate_orientation],  # edgecolor; white

    'tk.window_focus'   : [ False, validate_bool],  # Maintain shell focus for TkAgg
    'tk.pythoninspect'   : [ False, validate_bool],  # Set PYTHONINSPECT
    'ps.papersize'      : [ 'letter', validate_ps_papersize], # Set the papersize/type
    'ps.useafm'   : [ False, validate_bool],  # Set PYTHONINSPECT
    'ps.usedistiller'   : [ False, validate_bool],  # use ghostscript to distill ps output
    'ps.distiller.res'  : [6000, validate_int],       # dpi
    'plugins.directory' : ['.matplotlib_plugins', str], # where plugin directory is locate


00631 def matplotlib_fname():
    Return the path to the rc file

    Search order:

     * current working dir
     * environ var MATPLOTLIBRC
     * HOME/.matplotlibrc
     * MATPLOTLIBDATA/.matplotlibrc

    fname = os.path.join( os.getcwd(), '.matplotlibrc')
    if os.path.exists(fname): return fname

    if os.environ.has_key('MATPLOTLIBRC'):
        path =  os.environ['MATPLOTLIBRC']
        if os.path.exists(path):
            fname = os.path.join(path, '.matplotlibrc')
            if os.path.exists(fname):
                return fname

    home = get_home()
    if home is not None:
        fname = os.path.join(home, '.matplotlibrc')
        if os.path.exists(fname):
            return fname

    path =  get_data_path() # guaranteed to exist or raise
    fname = os.path.join(path, '.matplotlibrc')
    if not os.path.exists(fname):
        warnings.warn('Could not find .matplotlibrc; using defaults')
    return fname

def rc_params():
    'Return the default params updated from the values in the rc file'

    deprecated_map = {
        'text.fontstyle':   'font.style',
        'text.fontangle':   'font.style',
        'text.fontvariant': 'font.variant',
        'text.fontweight':  'font.weight',
        'text.fontsize':    'font.size',
        'tick.size' :       'tick.major.size',
    fname = matplotlib_fname()
    if not os.path.exists(fname):
        message = 'could not find rc file; returning defaults'
        ret =  dict([ (key, tup[0]) for key, tup in defaultParams.items()])
        return ret
    cnt = 0
    for line in file(fname):
        cnt +=1
        line = line.strip()
        if not len(line): continue
        if line.startswith('#'): continue
        tup = line.split(':',1)
        if len(tup) !=2:
            warnings.warn('Illegal line #%d\n\t%s\n\tin file "%s"' % (cnt, line, fname))

        key, val = tup
        key = key.strip()
        if key in deprecated_map.keys():
            alt = deprecated_map[key]
            warnings.warn('%s is deprecated in .matplotlibrc - use %s instead.' % (key, alt))
            key = alt
        if not defaultParams.has_key(key):
            warnings.warn('Bad key "%s" on line %d in %s' % (key, cnt, fname))

        default, converter =  defaultParams[key]

        ind = val.find('#')
        if ind>=0: val = val[:ind]   # ignore trailing comments
        val = val.strip()
        try: cval = converter(val)   # try to convert to proper type or raise
        except Exception, msg:
            warnings.warn('Bad val "%s" on line #%d\n\t"%s"\n\tin file "%s"\n\t%s' % (val, cnt, line, fname, msg))
            # Alles Klar, update dict
            defaultParams[key][0] = cval

    # strip the conveter funcs and return
    ret =  dict([ (key, tup[0]) for key, tup in defaultParams.items()])
    verbose.report('loaded rc file %s'%fname)

    return ret

# this is the instance used by the matplotlib classes
rcParams = rc_params() 

rcParamsDefault = dict(rcParams.items()) # a copy

00736 def rc(group, **kwargs):
    Set the current rc params.  Group is the grouping for the rc, eg
    for lines.linewidth the group is 'lines', for axes.facecolor, the
    group is 'axes', and so on.  kwargs is a list of attribute
    name/value pairs, eg

      rc('lines', linewidth=2, color='r')

    sets the current rc params and is equivalent to
      rcParams['lines.linewidth'] = 2
      rcParams['lines.color'] = 'r'

    The following aliases are available to save typing for interactive
        'lw'  : 'linewidth'
        'ls'  : 'linestyle'        
        'c'   : 'color'
        'fc'  : 'facecolor'
        'ec'  : 'edgecolor'
        'mfc' : 'markerfacecolor'
        'mec' : 'markeredgecolor'
        'mew' : 'markeredgewidth'
        'aa'  : 'antialiased'            

    Thus you could abbreviate the above rc command as

          rc('lines', lw=2, c='r')

    Note you can use python's kwargs dictionary facility to store
    dictionaries of default parameters.  Eg, you can customize the
    font rc as follows

      font = {'family' : 'monospace',
              'weight' : 'bold',
              'size'   : 'larger',

      rc('font', **font)  # pass in the font dict as kwargs

    This enables you to easily switch between several configurations.
    Use rcdefaults to restore the default rc params after changes.

    aliases = {
        'lw'  : 'linewidth',
        'ls'  : 'linestyle',
        'c'   : 'color',                        
        'fc'  : 'facecolor',
        'ec'  : 'edgecolor',
        'mfc' : 'markerfacecolor',
        'mec' : 'markeredgecolor',
        'mew' : 'markeredgewidth',
        'aa'  : 'antialiased',                        
    for k,v in kwargs.items():
        name = aliases.get(k) or k
        key = '%s.%s' % (group, name)
        if not rcParams.has_key(key):
            raise KeyError('Unrecognized key "%s" for group "%s" and name "%s"' %
                           (key, group, name))
        rcParams[key] = v

00804 def rcdefaults():
    Restore the default rc params - the ones that were created at
    matplotlib load time

# Now allow command line to override

# Allow command line access to the backend with -d (matlab compatible
# flag)

_knownBackends = {
    'Agg2':1, 'Agg':1, 'Cairo':1, 'FltkAgg':1, 'GD':1, 'GDK':1, 'GTK':1, 'GTKAgg':1,
    'GTKCairo':1, 'Paint':1, 'PS':1, 'LaTeX':1, 'QtAgg':1, 'SVG':1, 'Template':1,
    'TkAgg':1, 'WX':1, 'WXAgg':1, }

known = _knownBackends.keys()
for s in sys.argv[1:]:
    if s.startswith('-d'):  # look for a -d flag
        name = s[2:].strip()
        # we don't want to assume all -d flags are backends, eg -debug
        if name in  known:
            rcParams['backend'] = name            

00835 def use(arg):
    Set the matplotlib backend to one of the _knownBackends
    if not _knownBackends.has_key(arg):
        raise ValueError('unrecognized backend %s.\n' % arg +\
              'Use one of %s' % ', '.join( _knownBackends.keys() ))

    rcParams['backend'] = arg

def get_backend():
    return rcParams['backend']

00850 def interactive(b):
    Set interactive mode to boolean b.

    If b is True, then draw after every plotting command, eg, after xlabel
    rcParams['interactive'] = b

def is_interactive():
    'Return true if plot mode is interactive'
    b = rcParams['interactive']
    return b
00863 def tk_window_focus():
    """Return true if focus maintenance under TkAgg on win32 is on.
     This currently works only for python.exe and IPython.exe.
     Both IDLE and Pythonwin.exe fail badly when tk_window_focus is on."""
    if rcParams['backend'] != 'TkAgg':
        return False    
    return rcParams['tk.window_focus']

verbose.report('matplotlib version %s'%__version__)
verbose.report('verbose.level %s'%verbose.level)
verbose.report('interactive is %s'%rcParams['interactive'])
verbose.report('platform is %s'%sys.platform)
verbose.report('loaded modules: %s'%sys.modules.keys(), 'debug')

# True if we are running under Py2EXE (or similar)
FROZEN = hasattr(sys, 'frozen')

00883 class MPLError (Exception):
    """Exception for Matplotlib errors
        message -- explanation of the error
    def __init__ (self, message):
        self.message = message

    def __str__ (self):
        return self.message

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