What is covariance and how to find covariance in python?

What is covariance and how to find covariance in python?

What is covariance and how to find covariance in python?

This recipe explains what is covariance and how to find covariance in python


Recipe Objective

What is covariance? How to find covariance in python? Covariance It is the measure of the strength of correlation between two variables or set of variables. There are certain possibilities which are:

Cov(xi, xj) = 0 then the variabels are not correlated

Cov(xi, xj) > 0 then the variabels are possitively correlated

Cov(xi, xj) >< 0 then the variabels are negatively correlated.

Step 1 - Import library

import numpy as np

Step 2 - Take Sample data

Sample_data = np.array([[11,20,35],[40,58,64],[71,87,96]]) print("This is Sample array:","\n",Sample_data)
This is Sample array: 
 [[11 20 35]
 [40 58 64]
 [71 87 96]]

Step 3 - Print Results

print("The Covariance of Sample data:","\n",np.cov(Sample_data))
The Covariance of Sample data: 
 [[147.         138.         146.5       ]
 [138.         156.         157.        ]
 [146.5        157.         160.33333333]]

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