Pearson_Spearman_Kendall_Correlation.py

#USING SCIPY
from scipy.stats import spearmanr
from scipy.stats import pearsonr
from scipy.stats import kendalltau

coef, p = pearsonrr(x, y)    #Pearson's r
coef, p = spearmanr(x, y)    # Spearman's rho
coef, p = kendalltau(x, y)   # Kendall's tau

#USING PANDAS
x.corr(y)                     #Pearson's r
x.corr(y, method='spearman')  # Spearman's rho
x.corr(y, method='kendall')   # Kendall's tau