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