networkx.drawing.nx_pylab.draw_networkx¶

draw_networkx(G, pos=None, arrows=True, with_labels=True, **kwds)[source]¶

Draw the graph G using Matplotlib.

Draw the graph with Matplotlib with options for node positions, labeling, titles, and many other drawing features. See draw() for simple drawing without labels or axes.

Parameters:

G (graph) – A networkx graph
pos (dictionary, optional) – A dictionary with nodes as keys and positions as values. If not specified a spring layout positioning will be computed. See networkx.drawing.layout for functions that compute node positions.
arrows (bool, optional (default=True)) – For directed graphs, if True draw arrowheads. Note: Arrows will be the same color as edges.
arrowstyle (str, optional (default=’-|>’)) – For directed graphs, choose the style of the arrowsheads. See :py:class: matplotlib.patches.ArrowStyle for more options.
arrowsize (int, optional (default=10)) – For directed graphs, choose the size of the arrow head head’s length and width. See :py:class: matplotlib.patches.FancyArrowPatch for attribute mutation_scale for more info.
with_labels (bool, optional (default=True)) – Set to True to draw labels on the nodes.
ax (Matplotlib Axes object, optional) – Draw the graph in the specified Matplotlib axes.
nodelist (list, optional (default G.nodes())) – Draw only specified nodes
edgelist (list, optional (default=G.edges())) – Draw only specified edges
node_size (scalar or array, optional (default=300)) – Size of nodes. If an array is specified it must be the same length as nodelist.
node_color (color string, or array of floats, (default=’r’)) – Node color. Can be a single color format string, 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, optional (default=’o’)) – The shape of the node. Specification is as matplotlib.scatter marker, one of ‘so^>v<dph8’.
alpha (float, optional (default=1.0)) – The node and edge transparency
cmap (Matplotlib colormap, optional (default=None)) – Colormap for mapping intensities of nodes
vmin,vmax (float, optional (default=None)) – Minimum and maximum for node colormap scaling
linewidths ([None | scalar | sequence]) – Line width of symbol border (default =1.0)
width (float, optional (default=1.0)) – Line width of edges
edge_color (color string, or array of floats (default=’r’)) – Edge color. Can be a single color format string, or a sequence of colors with the same length as edgelist. If numeric values are specified they will be mapped to colors using the edge_cmap and edge_vmin,edge_vmax parameters.
edge_cmap (Matplotlib colormap, optional (default=None)) – Colormap for mapping intensities of edges
edge_vmin,edge_vmax (floats, optional (default=None)) – Minimum and maximum for edge colormap scaling
style (string, optional (default=’solid’)) – Edge line style (solid|dashed|dotted,dashdot)
labels (dictionary, optional (default=None)) – Node labels in a dictionary keyed by node of text labels
font_size (int, optional (default=12)) – Font size for text labels
font_color (string, optional (default=’k’ black)) – Font color string
font_weight (string, optional (default=’normal’)) – Font weight
font_family (string, optional (default=’sans-serif’)) – Font family
label (string, optional) – Label for graph legend

Notes

For directed graphs, arrows are drawn at the head end. Arrows can be turned off with keyword arrows=False.

Examples

>>> G = nx.dodecahedral_graph()
>>> nx.draw(G)
>>> nx.draw(G, pos=nx.spring_layout(G))  # use spring layout

>>> import matplotlib.pyplot as plt
>>> limits = plt.axis('off')  # turn of axis

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