The above code returns below output: //output The numpy library corrcoef() function accepts x and y array as input parameters and returns correlation matrix of x and y as a result. In the above example, we have created two x and y array using numpy library random function. Print("The correlation between x and y is : \n ",correlation) # Create the second array using first array by adding some noise # Create a random array of 500 integers between 0 and 50 # Using seed function to generate the same random number every time with the same seed value Let’s understand how to calculate the correlation between two variables with given below python code #import modules We’re interested in the values of correlation of x with y (so position (1, 0) or (0, 1)). In python, Numpy library provides corrcoef() function to calculate the correlation between two variables.Ĭorrcoef() a function that returns a matrix of correlations of x with x, x with y, y with x, and y with y. If you don’t have numpy package installed on your system, installed it using the below commands on the window system pip install numpy
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