networkx.draw_networkx_nodes

draw_networkx_nodes(G, pos, nodelist=None, node_size=300, node_color='r', node_shape='o', alpha=1.0, cmap=None, vmin=None, vmax=None, ax=None, linewidths=None, **kwds)

Draw the nodes of the graph G.

This draws only the nodes of the graph G.

Parameters:

G : graph

A networkx graph

pos : dictionary

A dictionary with nodes as keys and positions as values. If not specified a spring layout positioning will be computed. See networkx.layout for functions that compute node positions.

ax : Matplotlib Axes object, optional

Draw the graph in the specified Matplotlib axes.

nodelist: list, optional :

Draw only specified nodes (default G.nodes())

edgelist: list :

Draw only specified edges(default=G.edges())

node_size: scalar or array :

Size of nodes (default=300). If an array is specified it must be the same length as nodelist.

node_color: color string, or array of floats :

Node color. Can be a single color format string (default=’r’), or a sequence of colors with the same length as nodelist. If numeric values are specified they will be mapped to colors using the cmap and vmin,vmax parameters. See matplotlib.scatter for more details.

node_shape: string :

The shape of the node. Specification is as matplotlib.scatter marker, one of ‘so^>v<dph8’ (default=’o’).

alpha: float :

The node transparency (default=1.0)

cmap: Matplotlib colormap :

Colormap for mapping intensities of nodes (default=None)

vmin,vmax: floats :

Minimum and maximum for node colormap scaling (default=None)

width`: float :

Line width of edges (default =1.0)

See also

draw, draw_networkx, draw_networkx_edges, draw_networkx_labels, draw_networkx_edge_labels

Notes

Any keywords not listed above are passed through to Matplotlib’s scatter function.

Examples

>>> G=nx.dodecahedral_graph()
>>> nodes=nx.draw_networkx_nodes(G,pos=nx.spring_layout(G)) 

Also see the NetworkX drawing examples at http://networkx.lanl.gov/gallery.html