Hello, I have a question about python's numpy.
When calculating the correlation coefficient, you can calculate it using
numpy.corrcoef, but to verify the formula,
cov/(numpy.std(X)*numpy.cov(X)*numpy.numpy.numpy.numpy.numpy.numpy).I would appreciate it if someone could tell me the cause of this
The values for each are as follows:
numpy.corrcoef (two-dimensional array of X and Y):
numpy.cov (two-dimensional array of X and Y):
numpy.cov(two-dimensional array of X and Y)/(numpy.std(X)*numpy.std(Y)):
Thank you for your cooperation.python3 numpy
np.cov() defaults to
np.std() defaults to
np.std() yields the same results as
Just to be sure, the upper left and lower right are not
1. because they divide X and X covariance (dispersion of X) and Y and Y covariance (dispersion of Y) by X and Y covariance of Y.
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