Drawing

Tools to visualize topologies of D-Wave QPUs and weighted graph problems on them.

Chimera Graph Functions

Tools to visualize Chimera lattices and weighted graph problems on them.

chimera_layout(G[, scale, center, dim])	Positions the nodes of graph G in a Chimera layout.
chimera_node_placer_2d(m, n, t[, scale, ...])	Generates a function that converts Chimera indices to x- and y-coordinates for a plot.
draw_chimera(G, **kwargs)	Draws graph G in a Chimera layout.
draw_chimera_embedding(G, *args, **kwargs)	Draws an embedding onto the Chimera graph G.
draw_chimera_yield(G, **kwargs)	Draws graph G with highlighted faults.

Example

This example uses the chimera_layout() function to show the positions of nodes of a simple 5-node NetworkX graph in a Chimera lattice. It then uses the chimera_graph() and draw_chimera() functions to display those positions on a Chimera unit cell.

>>> import networkx as nx
>>> import dwave_networkx as dnx
>>> import matplotlib.pyplot as plt
>>> H = nx.Graph()
>>> H.add_nodes_from([0, 4, 5, 6, 7])
>>> H.add_edges_from([(0, 4), (0, 5), (0, 6), (0, 7)])
>>> pos=dnx.chimera_layout(H)
>>> pos
{0: array([ 0. , -0.5]),
 4: array([ 0.5,  0. ]),
 5: array([ 0.5 , -0.25]),
 6: array([ 0.5 , -0.75]),
 7: array([ 0.5, -1. ])}
>>> # Show graph H on a Chimera unit cell
>>> f, axes = plt.subplots(1, 1)
>>> G=dnx.chimera_graph(1, 1, 4)  # Draw a Chimera unit cell
>>> dnx.draw_chimera(G, node_color='r', ax=axes)
>>> dnx.draw_chimera(H, node_color='b', node_shape='*', style='dashed', edge_color='b', width=3, ax=axes)
>>> plt.show()
>>> # matplotlib commands to add labels to graphic not shown

Graph H (blue) overlaid on a Chimera unit cell (red nodes and black edges), which is rendered in a cross layout.

Pegasus Graph Functions

Tools to visualize Pegasus lattices and weighted graph problems on them.

draw_pegasus(G[, crosses])	Draws graph G in a Pegasus topology.
draw_pegasus_embedding(G, *args, **kwargs)	Draws an embedding onto Pegasus graph G.
draw_pegasus_yield(G, **kwargs)	Draws graph G with highlighted faults.
pegasus_layout(G[, scale, center, dim, crosses])	Positions the nodes of graph G in a Pegasus topology.
pegasus_node_placer_2d(G[, scale, center, ...])	Generates a function to convert Pegasus indices to plottable coordinates.

Example

This example uses the draw_pegasus() function to show the positions of nodes of a simple 5-node graph on a small Pegasus lattice.

>>> import dwave_networkx as dnx
>>> import matplotlib.pyplot as plt
>>> G = dnx.pegasus_graph(2)
>>> H = dnx.pegasus_graph(2, node_list=[4, 40, 41, 42, 43],
              edge_list=[(4, 40), (4, 41), (4, 42), (4, 43)])
>>> # Show graph H on a small Pegasus lattice
>>> f, axes = plt.subplots(1, 1)
>>> dnx.draw_pegasus(G, with_labels=True, crosses=True, node_color="Yellow", ax=axes)
>>> dnx.draw_pegasus(H, crosses=True, node_color='b', style='dashed',
          edge_color='b', width=3, ax=axes)
>>> plt.show()

Graph H (blue) overlaid on a small Pegasus lattice (yellow nodes and black edges), which is rendered in a cross layout.

Zephyr Graph Functions

Tools to visualize Zephyr lattices and weighted graph problems on them.

draw_zephyr(G, **kwargs)	Draws graph G in a Zephyr topology.
draw_zephyr_embedding(G, *args, **kwargs)	Draws an embedding onto a Zephyr graph G.
draw_zephyr_yield(G, **kwargs)	Draws graph G with highlighted faults, according to the Zephyr layout.
zephyr_layout(G[, scale, center, dim])	Positions the nodes of graph G in a Zephyr topology.
zephyr_node_placer_2d(G[, scale, center, dim])	Generates a function to convert Zephyr indices to plottable coordinates.

Example

This example uses the draw_zephyr_embedding() function to show the positions of a five-node clique on a small Zephyr graph.

>>> import dwave_networkx as dnx
>>> import matplotlib.pyplot as plt
>>> import networkx as nx
...
>>> G = dnx.zephyr_graph(1)
>>> embedding = {"N1": [13, 44], "N2": [11], "N3": [41], "N4": [40], "N5": [9, 37]}
...
>>> plt.ion()
>>> dnx.draw_zephyr_embedding(G, embedding, show_labels=True)

Five-node clique embedded in a small Zephyr graph.