seaborn correlation heatmap
import pandas as pd import seaborn as sns import matplotlib.pyplot as plt #Seaborn again offers a neat tool to visualize pairwise correlation coefficients. #The heatmap takes the DataFrame with the correlation coefficients as inputs, #and visualizes each value on a color scale that reflects the range of relevant. values. #The parameter annot equals True ensures that the values of the correlation #coefficients are displayed as well sns.heatmap(df.corr(), annot =True ) sns.set(rc = {'figure.figsize':(8,8)})#<--responsible for changing the size of a seaborn plot plt.show()
