Calculate the matrix standard deviation
>>> a = ([[1, 2], [3, 4]]) >>> (a) # Calculate the global standard deviation 1.1180339887498949 >>> (a, axis=0) # axis=0 Calculate the standard deviation of each column array([ 1., 1.]) >>> (a, axis=1) # Calculate the standard deviation for each row array([ 0.5, 0.5])
The Official Handbook:/doc/numpy/reference/generated/
This above () method of calculating the standard deviation of a matrix is all that I have shared with you, and I hope that it will give you a reference, and I hope that you will support me more.