Combined mean and standard deviation from a collection of NumPy arrays of different shapes

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Consider that I have a numpy array like this

(682, 89, 138)
(2668, 76, 89)
(491, 62, 48)

How can I calculate the mean and standard deviation of all three above arrays combined? Is it even possible to do this for different sized dimensions? Or do I need to reshape it before getting the mean and std?

Aug 2, 2022 in Python by krishna
 • 2,820 points • 848 views

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