ak.all ------ .. py:module: ak.all Defined in `awkward.operations.ak_all `__ on `line 18 `__. .. py:function:: ak.all(array, axis=None, *, keepdims=False, mask_identity=False, 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 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 :param highlevel: If True, return an :py:obj:`ak.Array`; otherwise, return a low-level :py:obj:`ak.contents.Content` subclass. :type highlevel: bool :param behavior: Custom :py:obj:`ak.behavior` for the output array, if high-level. :type behavior: None or dict :param attrs: Custom attributes for the output array, if high-level. :type attrs: None or dict Returns True in each group of elements from ``array`` (many types supported, including all Awkward Arrays and Records) if all values are True; False otherwise. Thus, it represents reduction over the "logical and" operation, whose identity is True (i.e. asking if all the values are True in an empty list results in True). This operation is the same as NumPy's `all `__ if all lists at a given dimension have the same length and no None values, but it generalizes to cases where they do not. See :py:obj:`ak.sum` for a more complete description of nested list and missing value (None) handling in reducers.