Assign Edge Weights To A Networkx Graph Using Pandas Dataframe
Answer : Let's try: import pandas as pd import numpy as np import networkx as nx import matplotlib.pyplot as plt df = pd.DataFrame({'number':['123','234','345'],'contactnumber':['234','345','123'],'callduration':[1,2,4]}) df G = nx.from_pandas_edgelist(df,'number','contactnumber', edge_attr='callduration') durations = [i['callduration'] for i in dict(G.edges).values()] labels = [i for i in dict(G.nodes).keys()] labels = {i:i for i in dict(G.nodes).keys()} fig, ax = plt.subplots(figsize=(12,5)) pos = nx.spring_layout(G) nx.draw_networkx_nodes(G, pos, ax = ax, labels=True) nx.draw_networkx_edges(G, pos, width=durations, ax=ax) _ = nx.draw_networkx_labels(G, pos, labels, ax=ax) Output: Do not agree with what has been said. In the calcul of different metrics that takes into account the weight of each edges like the pagerank or the betweeness centrality your weight would...
