draw_networkx¶
- draw_networkx(G, pos=None, arrows=None, 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
- Ggraph
A networkx graph
- posdictionary, 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.- arrowsbool or None, optional (default=None)
If
None
, directed graphs draw arrowheads withFancyArrowPatch
, while undirected graphs draw edges viaLineCollection
for speed. IfTrue
, draw arrowheads with FancyArrowPatches (bendable and stylish). IfFalse
, draw edges using LineCollection (linear and fast). For directed graphs, if True draw arrowheads. Note: Arrows will be the same color as edges.- arrowstylestr (default=’-|>’)
For directed graphs, choose the style of the arrowsheads. See
matplotlib.patches.ArrowStyle
for more options.- arrowsizeint or list (default=10)
For directed graphs, choose the size of the arrow head’s length and width. A list of values can be passed in to assign a different size for arrow head’s length and width. See
matplotlib.patches.FancyArrowPatch
for attributemutation_scale
for more info.- with_labelsbool (default=True)
Set to True to draw labels on the nodes.
- axMatplotlib Axes object, optional
Draw the graph in the specified Matplotlib axes.
- nodelistlist (default=list(G))
Draw only specified nodes
- edgelistlist (default=list(G.edges()))
Draw only specified edges
- node_sizescalar or array (default=300)
Size of nodes. If an array is specified it must be the same length as nodelist.
- node_colorcolor 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_shapestring (default=’o’)
The shape of the node. Specification is as matplotlib.scatter marker, one of ‘so^>v<dph8’.
- alphafloat or None (default=None)
The node and edge transparency
- cmapMatplotlib colormap, optional
Colormap for mapping intensities of nodes
- vmin,vmaxfloat, optional
Minimum and maximum for node colormap scaling
- linewidthsscalar or sequence (default=1.0)
Line width of symbol border
- widthfloat or array of floats (default=1.0)
Line width of edges
- edge_colorcolor 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_cmapMatplotlib colormap, optional
Colormap for mapping intensities of edges
- edge_vmin,edge_vmaxfloats, optional
Minimum and maximum for edge colormap scaling
- stylestring (default=solid line)
Edge line style e.g.: ‘-’, ‘–’, ‘-.’, ‘:’ or words like ‘solid’ or ‘dashed’. (See
matplotlib.patches.FancyArrowPatch
:linestyle
)- labelsdictionary (default=None)
Node labels in a dictionary of text labels keyed by node
- font_sizeint (default=12 for nodes, 10 for edges)
Font size for text labels
- font_colorstring (default=’k’ black)
Font color string
- font_weightstring (default=’normal’)
Font weight
- font_familystring (default=’sans-serif’)
Font family
- labelstring, optional
Label for graph legend
- kwdsoptional keywords
See networkx.draw_networkx_nodes(), networkx.draw_networkx_edges(), and networkx.draw_networkx_labels() for a description of optional keywords.
See also
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 off axis
Also see the NetworkX drawing examples at https://networkx.org/documentation/latest/auto_examples/index.html