Compute pearson product-moment correlation coefficients of two given NumPy arrays

In NumPy, We can compute pearson product-moment correlation coefficients of two given arrays with the help of numpy.corrcoef() function.

In this function, we will pass arrays as a parameter and it will return the pearson product-moment correlation coefficients of two given arrays.

Syntax: numpy.corrcoef(x, y=None, rowvar=True, bias=, ddof=) Return: Pearson product-moment correlation coefficients

Let's see an example:

Example 1:

Output

[[1. 1.]
 [1. 1.]]

Example 2:

Output

[[ 1. -0.98198051]
 [-0.98198051 1. ]]