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='-|>', 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=None, 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

  • G (graph) – A networkx graph

  • pos (dictionary) – A dictionary with nodes as keys and positions as values. Positions should be sequences of length 2.

  • edgelist (collection of edge tuples) – Draw only specified edges(default=G.edges())

  • width (float, or array of floats) – Line width of edges (default=1.0)

  • 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.

  • style (string) – Edge line style (default=’solid’) (solid|dashed|dotted,dashdot)

  • alpha (float) – The edge transparency (default=None)

  • edge_ cmap (Matplotlib colormap) – Colormap for mapping intensities of edges (default=None)

  • edge_vmin,edge_vmax (floats) – Minimum and maximum for edge colormap scaling (default=None)

  • ax (Matplotlib Axes object, optional) – Draw the graph in the specified Matplotlib axes.

  • 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 arrow heads. 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.

  • connectionstyle (str, optional (default=None)) – Pass the connectionstyle parameter to create curved arc of rounding radius rad. For example, connectionstyle=’arc3,rad=0.2’. See :py:class: matplotlib.patches.ConnectionStyle and :py:class: matplotlib.patches.FancyArrowPatch for more info.

  • label ([None| string]) – Label for legend

  • min_source_margin (int, optional (default=0)) – The minimum margin (gap) at the begining of the edge at the source.

  • min_target_margin (int, optional (default=0)) – The minimum margin (gap) at the end of the edge at the target.

Returns

  • matplotlib.collection.LineCollection – LineCollection of the edges

  • list of matplotlib.patches.FancyArrowPatch – FancyArrowPatch instances of the directed edges

  • Depending whether the drawing includes arrows or not.

Notes

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

See also

draw(), draw_networkx(), draw_networkx_nodes(), draw_networkx_labels(), draw_networkx_edge_labels()