dbt-selly/dbt-env/share/doc/networkx-2.7.1/examples/subclass/plot_printgraph.py

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2022-03-22 15:13:27 +00:00
"""
===========
Print Graph
===========
Example subclass of the Graph class.
"""
import matplotlib.pyplot as plt
import networkx as nx
from networkx import Graph
class PrintGraph(Graph):
"""
Example subclass of the Graph class.
Prints activity log to file or standard output.
"""
def __init__(self, data=None, name="", file=None, **attr):
super().__init__(data=data, name=name, **attr)
if file is None:
import sys
self.fh = sys.stdout
else:
self.fh = open(file, "w")
def add_node(self, n, attr_dict=None, **attr):
super().add_node(n, attr_dict=attr_dict, **attr)
self.fh.write(f"Add node: {n}\n")
def add_nodes_from(self, nodes, **attr):
for n in nodes:
self.add_node(n, **attr)
def remove_node(self, n):
super().remove_node(n)
self.fh.write(f"Remove node: {n}\n")
def remove_nodes_from(self, nodes):
for n in nodes:
self.remove_node(n)
def add_edge(self, u, v, attr_dict=None, **attr):
super().add_edge(u, v, attr_dict=attr_dict, **attr)
self.fh.write(f"Add edge: {u}-{v}\n")
def add_edges_from(self, ebunch, attr_dict=None, **attr):
for e in ebunch:
u, v = e[0:2]
self.add_edge(u, v, attr_dict=attr_dict, **attr)
def remove_edge(self, u, v):
super().remove_edge(u, v)
self.fh.write(f"Remove edge: {u}-{v}\n")
def remove_edges_from(self, ebunch):
for e in ebunch:
u, v = e[0:2]
self.remove_edge(u, v)
def clear(self):
super().clear()
self.fh.write("Clear graph\n")
G = PrintGraph()
G.add_node("foo")
G.add_nodes_from("bar", weight=8)
G.remove_node("b")
G.remove_nodes_from("ar")
print("Nodes in G: ", G.nodes(data=True))
G.add_edge(0, 1, weight=10)
print("Edges in G: ", G.edges(data=True))
G.remove_edge(0, 1)
G.add_edges_from(zip(range(0, 3), range(1, 4)), weight=10)
print("Edges in G: ", G.edges(data=True))
G.remove_edges_from(zip(range(0, 3), range(1, 4)))
print("Edges in G: ", G.edges(data=True))
G = PrintGraph()
nx.add_path(G, range(10))
nx.add_star(G, range(9, 13))
pos = nx.spring_layout(G, seed=225) # Seed for reproducible layout
nx.draw(G, pos)
plt.show()