ak.contents.NumpyArray#

Defined in awkward.contents.numpyarray on line 28.

class ak.contents.NumpyArray(self, data, *, parameters=None, backend=None)#
ak.contents.NumpyArray.is_numpy = True#
ak.contents.NumpyArray.is_leaf = True#
ak.contents.NumpyArray.data#
ak.contents.NumpyArray.copy(self, data=unset, *, parameters=unset, backend=unset)#
ak.contents.NumpyArray.__copy__(self)#
ak.contents.NumpyArray.__deepcopy__(self, memo)#
ak.contents.NumpyArray.simplified(cls, data, *, parameters=None, backend=None)#
ak.contents.NumpyArray.shape#
ak.contents.NumpyArray.inner_shape#
ak.contents.NumpyArray.strides#
ak.contents.NumpyArray.dtype#
ak.contents.NumpyArray._raw(self, nplike=None)#
ak.contents.NumpyArray._form_with_key(self, getkey)#
ak.contents.NumpyArray._to_buffers(self, form, getkey, container, backend, byteorder)#
ak.contents.NumpyArray._to_typetracer(self, forget_length)#
ak.contents.NumpyArray._touch_data(self, recursive)#
ak.contents.NumpyArray._touch_shape(self, recursive)#
ak.contents.NumpyArray.length#
ak.contents.NumpyArray.__repr__(self)#
ak.contents.NumpyArray._repr(self, indent, pre, post)#
ak.contents.NumpyArray.to_RegularArray(self)#
ak.contents.NumpyArray.maybe_to_NumpyArray(self)#
ak.contents.NumpyArray.__array__(self, dtype=None)#
ak.contents.NumpyArray.__iter__(self)#
ak.contents.NumpyArray._getitem_nothing(self)#
ak.contents.NumpyArray._getitem_at(self, where)#
ak.contents.NumpyArray._getitem_range(self, where)#
ak.contents.NumpyArray._getitem_field(self, where, only_fields=())#
ak.contents.NumpyArray._getitem_fields(self, where, only_fields=())#
ak.contents.NumpyArray._carry(self, carry, allow_lazy)#
ak.contents.NumpyArray._getitem_next_jagged(self, slicestarts, slicestops, slicecontent, tail)#
ak.contents.NumpyArray._getitem_next(self, head, tail, advanced)#
ak.contents.NumpyArray._offsets_and_flattened(self, axis, depth)#
ak.contents.NumpyArray._mergeable_next(self, other, mergebool)#
ak.contents.NumpyArray._mergemany(self, others)#
ak.contents.NumpyArray._fill_none(self, value)#
ak.contents.NumpyArray._local_index(self, axis, depth)#
ak.contents.NumpyArray.to_contiguous(self)#
ak.contents.NumpyArray.is_contiguous#
ak.contents.NumpyArray._subranges_equal(self, starts, stops, length, sorted=True)#
ak.contents.NumpyArray._as_unique_strings(self, offsets)#
ak.contents.NumpyArray._numbers_to_type(self, name, including_unknown)#
ak.contents.NumpyArray._is_unique(self, negaxis, starts, parents, outlength)#
ak.contents.NumpyArray._unique(self, negaxis, starts, parents, outlength)#
ak.contents.NumpyArray._argsort_next(self, negaxis, starts, shifts, parents, outlength, ascending, stable)#
ak.contents.NumpyArray._sort_next(self, negaxis, starts, parents, outlength, ascending, stable)#
ak.contents.NumpyArray._combinations(self, n, replacement, recordlookup, parameters, axis, depth)#
ak.contents.NumpyArray._reduce_next(self, reducer, negaxis, starts, shifts, parents, outlength, mask, keepdims, behavior)#
ak.contents.NumpyArray._validity_error(self, path)#
ak.contents.NumpyArray._pad_none(self, target, axis, depth, clip)#
ak.contents.NumpyArray._nbytes_part(self)#
ak.contents.NumpyArray._to_arrow(self, pyarrow, mask_node, validbytes, length, options)#
ak.contents.NumpyArray._to_backend_array(self, allow_missing, backend)#
ak.contents.NumpyArray._remove_structure(self, backend, options)#
ak.contents.NumpyArray._recursively_apply(self, action, behavior, depth, depth_context, lateral_context, options)#
ak.contents.NumpyArray.to_packed(self)#
ak.contents.NumpyArray._to_list(self, behavior, json_conversions)#
ak.contents.NumpyArray._to_backend(self, backend)#
ak.contents.NumpyArray._is_equal_to(self, other, index_dtype, numpyarray)#
ak.contents.NumpyArray._to_regular_primitive(self)#