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Package NX :: Module utils |
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Utilities for NX package
Classes | |
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SecureRandom |
This class replaces the random number generator in Python with /dev/random or /dev/urandom. |
Function Summary | |
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Return sample sequence of length n from a given discrete distribution | |
Return sample sequence of length n from a Pareto distribution. | |
Return sample sequence of length n from a Poisson distribution. | |
Return sample sequence of length n from a power law distribution. | |
Return sample sequence of length n from a uniform distribution. | |
Return True if list is a list of ints. | |
Is string_like or not iterable. | |
Check if obj is string. | |
Return True if obj is iterable with a well-defined len() | |
Return sample sequence of length n from a Pareto distribution. | |
Return sample sequence of length n from a power law distribution. | |
Return sample sequence of length n from a given discrete distribution | |
Return sample sequence of length n from a Pareto distribution. | |
Return sample sequence of length n from a Poisson distribution. | |
Return sample sequence of length n from a power law distribution. | |
Return sample sequence of length n from a uniform distribution. | |
Return sample sequence of length n from a uniform distribution. |
Variable Summary | |
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str |
__author__ = 'Aric Hagberg (hagberg@lanl.gov)\nDan Schul...
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str |
__credits__ = ''
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str |
__date__ = '$Date: 2005/03/30 23:56:28 $'
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str |
__revision__ = '$Revision: 1.17 $'
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Function Details |
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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, **kwds)Return sample sequence of length n from a uniform distribution. |
uniform_sequence(n, **kwds)Return sample sequence of length n from a uniform distribution. |
Variable Details |
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__author__
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__credits__
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__date__
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__revision__
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