# mxnet.np.amin¶

amin(a, axis=None, out=None, keepdims=False)

Return the minimum of an array or minimum along an axis.

Parameters
• a (ndarray) – Input data.

• axis (int, optional) – Axis along which to operate. By default, flattened input is used.

• 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 original arr.

Returns

min – Minimum of a. If axis is None, the result is an array of dimension 1. If axis is given, the result is an array of dimension a.ndim - 1.

Return type

ndarray

max()

The maximum value of an array along a given axis, ignoring any nan.

minimum()

Element-wise minimum of two arrays, ignoring any nan.

Notes

NaN in the orginal numpy is denoted as nan and will be ignored.

Don’t use min for element-wise comparison of 2 arrays; when a.shape[0] is 2, minimum(a[0], a[1]) is faster than min(a, axis=0).

Examples

>>> a = np.arange(4).reshape((2,2))
>>> a
array([[0., 1.],
[2., 3.]])
>>> np.min(a)           # Minimum of the flattened array
array(0.)
>>> np.min(a, axis=0)   # Minima along the first axis
array([0., 1.])
>>> np.min(a, axis=1)   # Minima along the second axis
array([0., 2.])
>>> b = np.arange(5, dtype=np.float32)
>>> b[2] = np.nan
>>> np.min(b)
array(0.) # nan will be ignored