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

numpy.nanmax — NumPy v1.17 Manual

a : array_like

Array containing numbers whose maximum is desired. If a is not an array, a conversion is attempted.

axis : {int, tuple of int, None}, optional

Axis or axes along which the maximum is computed. The default is to compute the maximum of the flattened array.

out : ndarray, optional

Alternate output array in which to place the result. The default is None; if provided, it must have the same shape as the expected output, but the type will be cast if necessary. See doc.ufuncs for details.

New in version 1.8.0.

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 a.

If the value is anything but the default, then keepdims will be passed through to the max method of sub-classes of ndarray. If the sub-classes methods does not implement keepdims any exceptions will be raised.

New in version 1.8.0.


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