This documents the development version of NetworkX. Documentation for the current release can be found here.
random_layout(G, center=None, dim=2, seed=None)¶
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.
- GNetworkX graph or list of nodes
A position will be assigned to every node in G.
- centerarray-like or None
Coordinate pair around which to center the layout.
Dimension of layout.
- seedint, RandomState instance or None optional (default=None)
Set the random state for deterministic node layouts. If int,
seedis the seed used by the random number generator, if numpy.random.RandomState instance,
seedis the random number generator, if None, the random number generator is the RandomState instance used by numpy.random.
A dictionary of positions keyed by node
>>> G = nx.lollipop_graph(4, 3) >>> pos = nx.random_layout(G)