ak.nanmin
---------
.. py:module: ak.nanmin
Defined in `awkward.operations.ak_min `__ on `line 87 `__.
.. py:function:: ak.nanmin(array, axis=None, *, keepdims=False, initial=None, mask_identity=True, highlevel=True, behavior=None, attrs=None)
:param array: Array-like data (anything :py:obj:`ak.to_layout` recognizes).
:param axis: If None, combine all values from the array into
a single scalar result; if an int, group by that axis: ``0`` is the
outermost, ``1`` is the first level of nested lists, etc., and
negative ``axis`` counts from the innermost: ``-1`` is the innermost,
``-2`` is the next level up, etc.
:type axis: None or int
:param keepdims: If False, this reducer decreases the number of
dimensions by 1; if True, the reduced values are wrapped in a new
length-1 dimension so that the result of this operation may be
broadcasted with the original array.
:type keepdims: bool
:param initial: The maximum value of an output element, as
an alternative to the numeric type's natural identity (e.g. infinity
for floating-point types, a maximum integer for integer types).
If you use ``initial``, you might also want ``mask_identity=False``.
:type initial: None or number
:param mask_identity: If True, reducing over empty lists results in
None (an option type); otherwise, reducing over empty lists
results in the operation's identity.
:type mask_identity: bool
Like :py:obj:`ak.min`, but treating NaN ("not a number") values as missing.
Equivalent to
.. code-block:: python
ak.min(ak.nan_to_none(array))
with all other arguments unchanged.
See also :py:obj:`ak.min`.