draw_networkx_nodes(G, pos, nodelist=None, node_size=300, node_color='#1f78b4', node_shape='o', alpha=None, cmap=None, vmin=None, vmax=None, ax=None, linewidths=None, edgecolors=None, label=None, margins=None)

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. Positions should be sequences of length 2.

ax : Matplotlib Axes object, optional

Draw the graph in the specified Matplotlib axes.

nodelist : list (default list(G))

Draw only specified nodes

node_size : scalar or array (default=300)

Size of nodes. If an array it must be the same length as nodelist.

node_color : color or array of colors (default='#1f78b4')

Node color. Can be a single color or a sequence of colors with the same length as nodelist. Color can be string or rgb (or rgba) tuple of floats from 0-1. 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 (default='o')

The shape of the node. Specification is as matplotlib.scatter marker, one of 'so^>v<dph8'.

alpha : float or array of floats (default=None)

The node transparency. This can be a single alpha value, in which case it will be applied to all the nodes of color. Otherwise, if it is an array, the elements of alpha will be applied to the colors in order (cycling through alpha multiple times if necessary).

cmap : Matplotlib colormap (default=None)

Colormap for mapping intensities of nodes

vmin,vmax : floats or None (default=None)

Minimum and maximum for node colormap scaling

linewidths : [None | scalar | sequence] (default=1.0)

Line width of symbol border

edgecolors : [None | scalar | sequence] (default = node_color)

Colors of node borders

label : [None | string]

Label for legend

margins : float or 2-tuple, optional

Sets the padding for axis autoscaling. Increase margin to prevent clipping for nodes that are near the edges of an image. Values should be in the range [0, 1] . See matplotlib.axes.Axes.margins for details. The default is :None:None:`None`, which uses the Matplotlib default.

Returns

matplotlib.collections.PathCollection

:None:None:`PathCollection` of the nodes.

Draw the nodes of the graph G.

See Also

draw

draw_networkx

draw_networkx_edge_labels

draw_networkx_edges

draw_networkx_labels

Examples

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

Also see the NetworkX drawing examples at https://networkx.org/documentation/latest/auto_examples/index.html

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

networkx.drawing.nx_pylab.draw_networkx networkx.drawing.nx_pylab.draw networkx.drawing.nx_pylab.draw_networkx_labels networkx.drawing.nx_pylab.draw_networkx_edge_labels networkx.drawing.nx_pylab.draw_networkx_edges networkx.drawing.nx_pylab.draw_networkx_nodes

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

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GitHub : /networkx/drawing/nx_pylab.py#342
type: <class 'function'>
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