This is documentation for an old release of NumPy (version 1.6.0). Read this page in the documentation of the latest stable release (version > 1.17).
Return the maximum of an array or maximum along an axis.
Parameters : | a : array_like
axis : int, optional
out : ndarray, optional
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Returns : | amax : ndarray or scalar
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See also
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