How to compute correlation using Pandas
• 0 minWhen analyzing data, you will end up needing to check the existing correlation between two different variables.
The DataFrame.corr() method will give you the correlation between your dataframe variables.
# We import the libraries
import pandas as pd
import numpy as np
# Define two variables that have some correlation between each other
# Using the multivariate normal function from numpy
df = pd.DataFrame(np.random.multivariate_normal(mean=[0,0],
cov=[[1, 0], [0, 100]],
size=100),
columns=["col1","col2"])
# We print the correlation between those two columns
print(df.corr())Here you are, you now know how to compute the correlation between two variables.
