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covariance in python

Sumaia Parveen Shupti answered on April 17, 2021 Popularity 9/10 Helpfulness 3/10

answer covariance in python

related covariance matrix python

covariance in python

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# Covariance provides the a measure of strength of correlation between two variable or more set of variables. The covariance matrix element Cij is the covariance of xi and xj. The element Cii is the variance of xi. 

# If COV(xi, xj) = 0 then variables are uncorrelated
# If COV(xi, xj) > 0 then variables positively correlated
# If COV(xi, xj) > < 0 then variables negatively correlated


# Python code to demonstrate the use of numpy.cov
import numpy as np
 
x = np.array([[0, 3, 4], [1, 2, 4], [3, 4, 5]])
 
print("Shape of array:\n", np.shape(x))
 
print("Covariance matrix of x:\n", np.cov(x))

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Source: www.geeksforgeeks.org

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Contributed on Aug 09 2022

Sumaia Parveen Shupti

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covariance matrix python

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import numpy as np

A = [45,37,42,35,39]
B = [38,31,26,28,33]
C = [10,15,17,21,12]

data = np.array([A,B,C])

covMatrix = np.cov(data,bias=True)
print (covMatrix)

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Source: datatofish.com

Tags: covariance-matrix covariance-matri

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