Summary of numpy functions I didn't know

$ python
>>> import numpy as np

>>> np.maximum([1,2], [3,1]) # array([3, 2])
>>> np.maximum(0, [-1, 2, -2, 4]) # array([0, 2, 0, 4])

>>> np.argmax([1,3,4,2]) # 2

>>> a = np.array([[1,4],[2,3]])
>>> np.max(a, axis=0) # array([2, 4])
>>> np.max(a, axis=1) # array([4, 3])

>>> a = np.arange(9).reshape(3,3) # array([[0, 1, 2], [3, 4, 5], [6, 7, 8]])
>>> a.diagonal() # array([0, 4, 8])
>>> np.fliplr(a).diagonal() # array([2, 4, 6])

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