how to create network of europe countries with connections in networkx in python

To create a network of Europe countries with connections in NetworkX in Python, you need to have a dataset of the countries and their connections.

One way to do this is to have a CSV or Excel file with three columns: the source country, the destination country, and the weight of the connection (which can represent factors such as distance, trade volume, etc.). You can then load this file into a Pandas DataFrame using the read_csv() or read_excel() functions.

Next, you can create a NetworkX graph object using the Graph() function and add the edges from your DataFrame using the add_edge() function. For example:

main.py
import pandas as pd
import networkx as nx

# load CSV file into DataFrame
df = pd.read_csv('europe_connections.csv')

# create graph object
G = nx.Graph()

# add edges from DataFrame
for index, row in df.iterrows():
    G.add_edge(row['source'], row['destination'], weight=row['weight'])
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After creating the graph, you can use the various NetworkX functions to analyze and visualize the network, such as nx.degree_centrality(), nx.betweenness_centrality(), and nx.draw_networkx().