numpy.amax

numpy.amax(a, axis=None, out=None)

Return the maximum along an axis.

Parameters:

a : array_like

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.

Returns:

amax : ndarray

A new array or a scalar with the result, or a reference to out if it was specified.

See also

nanmax

nan values are ignored instead of being propagated

fmax

same behavior as the C99 fmax function

argmax

Indices of the maximum values.

Notes

NaN values are propagated, that is if at least one item is nan, the corresponding max value will be nan as well. To ignore NaN values (matlab behavior), please use nanmax.

Examples

>>> a = np.arange(4).reshape((2,2))
>>> a
array([[0, 1],
       [2, 3]])
>>> np.amax(a)
3
>>> np.amax(a, axis=0)
array([2, 3])
>>> np.amax(a, axis=1)
array([1, 3])

>>> b = np.arange(5, dtype=np.float)
>>> b[2] = np.NaN
>>> np.amax(b)
nan
>>> np.nanmax(b)
4.0