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.layoutfor functions that compute node positions.
- arrowsbool or None, optional (default=None)
- If - None, directed graphs draw arrowheads with- FancyArrowPatch, while undirected graphs draw edges via- LineCollectionfor speed. If- True, draw arrowheads with FancyArrowPatches (bendable and stylish). If- False, 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.ArrowStylefor 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.FancyArrowPatchfor attribute- mutation_scalefor 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