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 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, optional (default=``’o’``)) – The shape of the node. Specification is as matplotlib.scatter marker, one of ‘so^>v<dph8’.
alpha (float, optional (default=None)) – 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 or array of colors (default=``’k’``)) – Edge color. Can be a single color or a sequence of colors with the same length as edgelist. 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 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.github.io/documentation/latest/auto_examples/index.html