networkx.drawing.nx_pylab.draw_networkx_edges¶
-
draw_networkx_edges
(G, pos, edgelist=None, width=1.0, edge_color='k', style='solid', alpha=None, arrowstyle=None, arrowsize=10, edge_cmap=None, edge_vmin=None, edge_vmax=None, ax=None, arrows=True, label=None, node_size=300, nodelist=None, node_shape='o', connectionstyle='arc3', min_source_margin=0, min_target_margin=0)[source]¶ Draw the edges of the graph G.
This draws only the edges of the graph G.
- Parameters
- Ggraph
A networkx graph
- posdictionary
A dictionary with nodes as keys and positions as values. Positions should be sequences of length 2.
- edgelistcollection of edge tuples (default=G.edges())
Draw only specified edges
- 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.
- stylestring (default=solid line)
Edge line style e.g.: ‘-‘, ‘–’, ‘-.’, ‘:’ or words like ‘solid’ or ‘dashed’. (See
matplotlib.patches.FancyArrowPatch
:linestyle
)- alphafloat or None (default=None)
The edge transparency
- edge_cmapMatplotlib colormap, optional
Colormap for mapping intensities of edges
- edge_vmin,edge_vmaxfloats, optional
Minimum and maximum for edge colormap scaling
- axMatplotlib Axes object, optional
Draw the graph in the specified Matplotlib axes.
- arrowsbool, optional (default=True)
For directed graphs, if True set default to drawing arrowheads. Otherwise set default to no arrowheads. Ignored if
arrowstyle
is set.Note: Arrows will be the same color as edges.
- arrowstylestr (default=’-|>’ if directed else ‘-‘)
For directed graphs and
arrows==True
defaults to ‘-|>’, otherwise defaults to ‘-‘.See
matplotlib.patches.ArrowStyle
for more options.- arrowsizeint (default=10)
For directed graphs, choose the size of the arrow head’s length and width. See
matplotlib.patches.FancyArrowPatch
for attributemutation_scale
for more info.- connectionstylestring (default=”arc3”)
Pass the connectionstyle parameter to create curved arc of rounding radius rad. For example, connectionstyle=’arc3,rad=0.2’. See
matplotlib.patches.ConnectionStyle
andmatplotlib.patches.FancyArrowPatch
for more info.- node_sizescalar or array (default=300)
Size of nodes. Though the nodes are not drawn with this function, the node size is used in determining edge positioning.
- nodelistlist, optional (default=G.nodes())
This provides the node order for the
node_size
array (if it is an array).- node_shapestring (default=’o’)
The marker used for nodes, used in determining edge positioning. Specification is as a
matplotlib.markers
marker, e.g. one of ‘so^>v<dph8’.- labelNone or string
Label for legend
- min_source_marginint (default=0)
The minimum margin (gap) at the begining of the edge at the source.
- min_target_marginint (default=0)
The minimum margin (gap) at the end of the edge at the target.
- Returns
- list of matplotlib.patches.FancyArrowPatch
FancyArrowPatch
instances of the directed edges
Notes
For directed graphs, arrows are drawn at the head end. Arrows can be turned off with keyword arrows=False or by passing an arrowstyle without an arrow on the end.
Be sure to include
node_size
as a keyword argument; arrows are drawn considering the size of nodes.Examples
>>> G = nx.dodecahedral_graph() >>> edges = nx.draw_networkx_edges(G, pos=nx.spring_layout(G))
>>> G = nx.DiGraph() >>> G.add_edges_from([(1, 2), (1, 3), (2, 3)]) >>> arcs = nx.draw_networkx_edges(G, pos=nx.spring_layout(G)) >>> alphas = [0.3, 0.4, 0.5] >>> for i, arc in enumerate(arcs): # change alpha values of arcs ... arc.set_alpha(alphas[i])
Also see the NetworkX drawing examples at https://networkx.org/documentation/latest/auto_examples/index.html