Correlation Matrix of Centrality Scores Mumbai Local Network

mumbai_local_centrality_correlation_matrix

##Import required modules
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
import scipy.stats as stats
import math

##Read the centrality scores generated from empirical network of mumbai local rail
url = "https://raw.githubusercontent.com/arimitramaiti/datasets/master/articles/mumbai_local_centrality_scores.csv"
dataset = pd.read_csv(url, error_bad_lines=False, header=0, index_col=None)
dataset.head(4)

##Generate correlation matrix
fig, ax = plt.subplots(1, 1, figsize=(12, 5))
cormat = dataset.iloc[: , 2:6].corr()
sns.heatmap(cormat, 
            cmap=sns.color_palette("Blues"),
            fmt='.1g',
            annot = True,
            vmin=-1, vmax=1, center= 0,
            linewidths=2, linecolor='black',
            square=True,
            mask=np.triu(cormat),
            ax=ax)
ax.set_title('Correlation Matrix of Centrality Measures', fontsize=12, pad=30)
fig.tight_layout()
plt.show()