networkx.drawing.layout.random_layout¶

random_layout(G, center=None, dim=2, random_state=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. random_state (int, RandomState instance or None optional (default=None)) – Set the random state for deterministic node layouts. If int, `random_state` is the seed used by the random number generator, if numpy.random.RandomState instance, `random_state` 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)