Spearman Coefficient

import pandas as pd
from scipy.stats import spearmanr
import numpy as np
import warnings #Used primarily to ignore warnings
warnings.filterwarnings("ignore")

df = pd.read_csv('train.csv')

labels = []
values = []

for col in df.columns:
    if col not in ["ID", "target"]:
        labels.append(col)
        values.append(spearmanr(df[col].values, df['target'].values)[0])

correlation_df = pd.DataFrame({'column_label':labels, 'correlation_val':values})        
correlation_df = correlation_df.sort_values(by='correlation_val')

correlation_df = correlation_df[(correlation_df['correlation_val']>0.1) | (correlation_df['correlation_val']<-0.1)]
correlation_df