![]() ![]() nodes NetworkX expects a square matrix (of nodes Later on you can create an edge list from the dataframe and import it into Networkx: Add one row to pandas DataFrame. I started by searching Google Images and then looked on StackOverflow for drawing weighted edges using NetworkX. Note that this can be an expensive operation when your DataFrame has columns with different data types, which comes down to a fundamental difference between pandas and NumPy: NumPy arrays have one dtype for the entire array, while pandas DataFrames have one dtype per column. NetworkX is suitable for real-world graph problems and is good at handling big data as well. Networkx pandas to_numpy() gives a NumPy representation of the underlying data. ![]()
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