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Showing content from https://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.amin.html below:

numpy.amin — NumPy v1.17 Manual

a : array_like

Input data.

axis : None or int or tuple of ints, optional

Axis or axes along which to operate. By default, flattened input is used.

New in version 1.7.0.

If this is a tuple of ints, the minimum is selected over multiple axes, instead of a single axis or all the axes as before.

out : ndarray, optional

Alternative output array in which to place the result. Must be of the same shape and buffer length as the expected output. See doc.ufuncs (Section “Output arguments”) for more details.

keepdims : bool, optional

If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array.

If the default value is passed, then keepdims will not be passed through to the amin method of sub-classes of ndarray, however any non-default value will be. If the sub-class’ method does not implement keepdims any exceptions will be raised.

initial : scalar, optional

The maximum value of an output element. Must be present to allow computation on empty slice. See reduce for details.

New in version 1.15.0.

where : array_like of bool, optional

Elements to compare for the minimum. See reduce for details.

New in version 1.17.0.

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