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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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networkx.drawing.layout.random_layout

random_layout(G, center=None, dim=2, seed=None)[source]

Position nodes uniformly at random in the unit square.

For every node, a position is generated by choosing each of dim coordinates uniformly at random on the interval [0.0, 1.0).

NumPy (http://scipy.org) is required for this function.

Parameters

  • G (NetworkX graph or list of nodes) – A position will be assigned to every node in G.

  • center (array-like or None) – Coordinate pair around which to center the layout.

  • dim (int) – Dimension of layout.

  • seed (int, RandomState instance or None optional (default=None)) – Set the random state for deterministic node layouts. If int, seed is the seed used by the random number generator, if numpy.random.RandomState instance, seed is the random number generator, if None, the random number generator is the RandomState instance used by numpy.random.

Returns

pos – A dictionary of positions keyed by node

Return type

dict

Examples

>>> G = nx.lollipop_graph(4, 3)
>>> pos = nx.random_layout(G)