Python:NumPy .amin()

The .amin() function returns the minimum of an array or minimum along an axis. The .amin() function is equivalent to ndarray.min().

Syntax

numpy.amin(a, axis, out, keepdims, initial, where)

The a parameter is required and represents the array of elements to choose the minimum from. All other parameters are optional.

Parameters of the .amin() function:

• a: The array of elements to choose the minimum from.
• axis: An int or a tuple of ints specifying the axis/axes along which to choose the minimum. By default it is set as axis=None.
• out: An ndarray to receive result. Must have the same shape as expected output.
• keepdims: A boolean; if True will keep reduced axes in the result as dimensions with size one.
• initial: The maximum value of an output element.
• where: A boolean array that maps to array and selects which elements to compare for the minimum.

Returns:

• If axis is None, the result would be a scalar value of the minimum element of the array.
• If axis is an integer, the result would be an array of dimension a.ndim - 1.
• If axis is a tuple, the result would be an array of dimension a.ndim - len(axis).

Example

The following example creates an array then uses a few .amin() operations to return the minimum.

import numpy as np

nd = np.array([[1,2,3],[4,5,6]])

print(np.amin(nd))
print(np.amin(nd, axis=0))
print(np.amin(nd, axis=1))

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This produces the following output:

1
[1 2 3]
[1 4]

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Codebyte Example

The following example creates an array then uses a few .amin() operations with various arguments to return the minimum.

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