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]]
What Users are saying..
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ETL (Abintio) developer at IBM
I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More
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