Utilities¶
Helper Functions¶
Miscellaneous Helpers for NetworkX.
These are not imported into the base networkx namespace but can be accessed, for example, as
>>> import networkx
>>> networkx.utils.is_list_of_ints([1, 2, 3])
True
>>> networkx.utils.is_list_of_ints([1, 2, "spam"])
False
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Check if obj is string. |
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Return flattened version of (possibly nested) iterable object. |
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Return True if obj is iterable with a well-defined len(). |
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Return True if list is a list of ints. |
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Return list of ints from sequence of integral numbers. |
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Returns the string representation of t. |
Generate a unique node label. |
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Opens |
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s -> (s0, s1), (s1, s2), (s2, s3), … |
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Converts a many-to-one mapping into a one-to-many mapping. |
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Returns a numpy.random.RandomState instance depending on input. |
Data Structures and Algorithms¶
Union-find data structure.
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Find the sets containing the objects and merge them all. |
Random Sequence Generators¶
Utilities for generating random numbers, random sequences, and random selections.
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Return sample sequence of length n from a power law distribution. |
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Returns normalized cumulative distribution from discrete distribution. |
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Return sample sequence of length n from a given discrete distribution or discrete cumulative distribution. |
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Returns a random value chosen from the Zipf distribution. |
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Returns k items without replacement from a weighted sample. |
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Returns a single element from a weighted sample. |
Decorators¶
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Decorator to ensure clean opening and closing of files. |
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Decorator to mark algorithms as not implemented |
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Decorator to allow number of nodes or container of nodes. |
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Decorator to preserve the numpy.random state during a function. |
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Decorator to generate a numpy.random.RandomState instance. |
Cuthill-Mckee Ordering¶
Cuthill-McKee ordering of graph nodes to produce sparse matrices
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Generate an ordering (permutation) of the graph nodes to make a sparse matrix. |
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Generate an ordering (permutation) of the graph nodes to make a sparse matrix. |