Created
March 20, 2018 08:33
-
-
Save wiso/ce2a9919ded228838703c1c7c7dad13b to your computer and use it in GitHub Desktop.
Compute correlation matrix from covariance matrix using numpy
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import numpy as np | |
def correlation_from_covariance(covariance): | |
v = np.sqrt(np.diag(covariance)) | |
outer_v = np.outer(v, v) | |
correlation = covariance / outer_v | |
correlation[covariance == 0] = 0 | |
return correlation |
Thanks
Thanks
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Thanks!