Parameters —

• arr: [array_like] input data
• axis : axis [int or tuples of int] along which we want to get the minimum value. Otherwise, it will assume that arr will be flattened.
• out: [ndarray, optional] An alternate output array to put the result into
• keepdmis: [boolean, optional] If this parameter is set to True, the downsized axes remain in
  the result as dimensions with size one. With this option, the result will translate correctly
  the input array. If a default is passed, then keepdims will not be passed to all
  ndarray subclasses, however any non-default will be. If the subclass sum method
  does not implement keepdims, exceptions will be thrown.

Return —

Minimum array — arr [ndarray or scalar], scalar if axis is None; 
The result is an array of dimensions a.ndim — 1 if axis is specified.

Code —

Exit —

 arr: [0 1 2 3 4 5 6 7] Min of arr: 0 arr: [[0 1 2 3 4] [5 6 7 8 9]] Min of arr, axis = None: 0 Min of arr, axis = 0: [0 1 2 3 4] Min of arr, axis = 1: [0 5] 

Links —
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.amin.html#numpy.amin

Note —
These codes will not work for online IDs. Please run them on your systems to see how they work

This article is provided by Mohit Gupta_OMG