'Creating a simple graph using pandas and Networkx
I am trying to figure out from the documentation how to create a simple graph using the pandas dataframe and the NetworkX package, but I couldn't get the solution. Below the final result I would like.

Solution 1:[1]
This might help:
import pandas as pd
import networkx as nx
df = pd.DataFrame(
{"from": ["A", "A", "A", "C"], "to": ["B", "C", "D", "D"], "weight": [10, 5, 4, 1]}
)
G = nx.from_pandas_edgelist(
df, source="from", target="to", edge_attr=["weight"], create_using=nx.DiGraph
)
pos = nx.spring_layout(G) # node positions
edge_labels = nx.get_edge_attributes(G, "weight") # labels to use for edges
nx.draw(G, pos, with_labels=True)
nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 |
