Package networkx :: Module utils
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Module networkx.utils

Utilities for networkx package


Function Summary
  discrete_sequence(n, **kwds)
Return sample sequence of length n from a given discrete distribution
  gsl_pareto_sequence(n, **kwds)
Return sample sequence of length n from a Pareto distribution.
  gsl_poisson_sequence(n, **kwds)
Return sample sequence of length n from a Poisson distribution.
  gsl_powerlaw_sequence(n, **kwds)
Return sample sequence of length n from a power law distribution.
  gsl_uniform_sequence(n, **kwds)
Return sample sequence of length n from a uniform distribution.
  is_list_of_ints(intlist)
Return True if list is a list of ints.
  is_singleton(obj)
Is string_like or not iterable.
  is_string_like(obj)
Check if obj is string.
  iterable(obj)
Return True if obj is iterable with a well-defined len()
  pareto_sequence(n, **kwds)
Return sample sequence of length n from a Pareto distribution.
  powerlaw_sequence(n, **kwds)
Return sample sequence of length n from a power law distribution.
  scipy_discrete_sequence(n, **kwds)
Return sample sequence of length n from a given discrete distribution
  scipy_pareto_sequence(n, **kwds)
Return sample sequence of length n from a Pareto distribution.
  scipy_poisson_sequence(n, **kwds)
Return sample sequence of length n from a Poisson distribution.
  scipy_powerlaw_sequence(n, **kwds)
Return sample sequence of length n from a power law distribution.
  scipy_uniform_sequence(n)
Return sample sequence of length n from a uniform distribution.
  uniform_sequence(n)
Return sample sequence of length n from a uniform distribution.

Variable Summary
str __author__ = 'Aric Hagberg (hagberg@lanl.gov)\nDan Schul...
str __credits__ = ''
str __date__ = '$Date: 2005-06-15 08:30:40 -0600 (Wed, 15 Ju...
str __revision__ = '$Revision: 1029 $'

Function Details

discrete_sequence(n, **kwds)

Return sample sequence of length n from a given discrete distribution

distribution=histogram of values, will be normalized

gsl_pareto_sequence(n, **kwds)

Return sample sequence of length n from a Pareto distribution.

gsl_poisson_sequence(n, **kwds)

Return sample sequence of length n from a Poisson distribution.

gsl_powerlaw_sequence(n, **kwds)

Return sample sequence of length n from a power law distribution.

gsl_uniform_sequence(n, **kwds)

Return sample sequence of length n from a uniform distribution.

is_list_of_ints(intlist)

Return True if list is a list of ints.

is_singleton(obj)

Is string_like or not iterable.

is_string_like(obj)

Check if obj is string.

iterable(obj)

Return True if obj is iterable with a well-defined len()

pareto_sequence(n, **kwds)

Return sample sequence of length n from a Pareto distribution.

powerlaw_sequence(n, **kwds)

Return sample sequence of length n from a power law distribution.

scipy_discrete_sequence(n, **kwds)

Return sample sequence of length n from a given discrete distribution

distribution=histogram of values, will be normalized

scipy_pareto_sequence(n, **kwds)

Return sample sequence of length n from a Pareto distribution.

scipy_poisson_sequence(n, **kwds)

Return sample sequence of length n from a Poisson distribution.

scipy_powerlaw_sequence(n, **kwds)

Return sample sequence of length n from a power law distribution.

scipy_uniform_sequence(n)

Return sample sequence of length n from a uniform distribution.

uniform_sequence(n)

Return sample sequence of length n from a uniform distribution.


Variable Details

__author__

Type:
str
Value:
'''Aric Hagberg (hagberg@lanl.gov)
Dan Schult(dschult@colgate.edu)'''                                     

__credits__

Type:
str
Value:
''                                                                     

__date__

Type:
str
Value:
'$Date: 2005-06-15 08:30:40 -0600 (Wed, 15 Jun 2005) $'                

__revision__

Type:
str
Value:
'$Revision: 1029 $'                                                    

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