How to construct a networkx graph from a dictionary with format `node: {neighbor: weight}`?

Question

I have the following dictionary that contains node-neighbor-weight pairs:

graph = {
    "A": {"B": 3, "C": 3},
    "B": {"A": 3, "D": 3.5, "E": 2.8},
    "C": {"A": 3, "E": 2.8, "F": 3.5},
    "D": {"B": 3.5, "E": 3.1, "G": 10},
    "E": {"B": 2.8, "C": 2.8, "D": 3.1, "G": 7},
    "F": {"G": 2.5, "C": 3.5},
    "G": {"F": 2.5, "E": 7, "D": 10},
}

The visual representation of the graph is this:

How do I go from that dictionary to a networkx graph object:

import networkx as nx

G = nx.Graph()

# YOUR SUGGESTION HERE #

Answer 1

You need to add the dictionary as edges to the graph

import networkx as nx
from matplotlib import pyplot as plt

graph = {
    "A": {"B": 3, "C": 3},
    "B": {"A": 3, "D": 3.5, "E": 2.8},
    "C": {"A": 3, "E": 2.8, "F": 3.5},
    "D": {"B": 3.5, "E": 3.1, "G": 10},
    "E": {"B": 2.8, "C": 2.8, "D": 3.1, "G": 7},
    "F": {"G": 2.5, "C": 3.5},
    "G": {"F": 2.5, "E": 7, "D": 10},
}

G = nx.Graph()
for node, neighbors in graph.items():
    for neighbor, weight in neighbors.items():
        G.add_edge(node, neighbor, weight=weight)

pos = nx.spring_layout(G)
nx.draw(G, pos)
labels = nx.get_edge_attributes(G, 'weight')
nx.draw_networkx_edge_labels(G, pos, edge_labels=labels)
nx.draw_networkx_labels(G, pos)
plt.show()