I have a dataframe central
Then I want to plot the pairwise relationships between the columns with sns.pairplot(central). Could you please explain why the process just runs forever? I tried on both my laptop and Colab, but the problem persists.
import urllib3
%matplotlib inline
%config InlineBackend.figure_format = 'svg' # Change the image format to svg for better quality
import networkx as nx
import pandas as pd
import seaborn as sns
from scipy import stats
import matplotlib.pyplot as plt
## Import dataset
http = urllib3.PoolManager()
url = 'https://raw.githubusercontent.com/leanhdung1994/WebMining/main/airports.net'
f = http.request('GET', url)
open('airports.net', 'wb').write(f.data)
G = nx.read_pajek('airports.net', encoding = 'UTF-8')
G = nx.DiGraph(G)
## Compute measures of centrality
degree_central = nx.degree_centrality(G)
closeness_central = nx.closeness_centrality(G)
eigen_central = nx.eigenvector_centrality_numpy(G, max_iter = 200)
katz_central = nx.katz_centrality_numpy(G)
between_central = nx.betweenness_centrality(G)
pagerank = nx.pagerank_numpy(G)
[hub, authority] = nx.hits(G)
## Create a dataframe using with above calculated centralities
central = pd.DataFrame([degree_central, closeness_central, eigen_central, katz_central, between_central, hub, authority]).T
central.columns = ['degree', 'closeness', 'eigen', 'katz', 'between', 'hub', 'authority']
central
## Plot the pairwise relationships between centralities
sns.pairplot(central)

