Generate Network Graph in Python from nested dictionary

I have an input dictionary like:

d={'node1':{'node1_1':1.2,'node1_2':1.3,'node1_3':1.2},'node2': 
           {'node2_1':1.3,'node2_2':1.3,'node2_3':1.4}}

In the output, node1 has a relationship with node1_1 with a weight of 1.2, node1_2 with a weight of 1.3, and node 1-3 with a weight of 1.2. The same is the case for node2 it links with node 2_1,node2_2, and node2_3 along with their respective weights.
Is there any generalized way to generate a directed graph from the input dictionary using NetworkKx or through any other way in Python?

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Answers:

Method 1

Answers:

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Method 1

IIUC, you can use nx.from_dict_of_lists:

d={'node1':{'node1_1':1.2,'node1_2':1.3,'node1_3':1.2},
   'node2':{'node2_1':1.3,'node2_2':1.3,'node2_3':1.4}}

import networkx as nx
G = nx.from_dict_of_lists(d, create_using=nx.DiGraph)

To have the weights, use nx.from_dict_of_dicts:

d2 = {k:{k2: {'weight': v2} for k2,v2 in v.items()} for k,v in d.items()}
G = nx.from_dict_of_dicts(d2, create_using=nx.DiGraph)

output:

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0

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