corr_df1.py

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

df1=pd.read_csv("./x01.csv")
df1.columns=["Index","Brain_weight","Body_weight"]

corr_data = df1.corr()    #we are using pandas library's corr() function to find correlation.
print(corr_data)
plt.figure(figsize=(9,5))
sns.set_style('ticks')
sns.heatmap(corr_data, annot=True)
plt.title('Correlation of variables in df1 Data set')
plt.show()