ak.partition.PartitionedArray — Awkward Array documentation

# ak.partition.PartitionedArray

Defined in awkward.partition on line 95.

class ak.partition.PartitionedArray((self))

## ak.partition.PartitionedArray.from_ext

ak.partition.PartitionedArray.from_ext(cls, obj)

## ak.partition.PartitionedArray.__repr__

ak.partition.PartitionedArray.__repr__(self)

## ak.partition.PartitionedArray.numpartitions

ak.partition.PartitionedArray.numpartitions

## ak.partition.PartitionedArray.partitions

ak.partition.PartitionedArray.partitions

## ak.partition.PartitionedArray.partition

ak.partition.PartitionedArray.partition(self, partitionid)

## ak.partition.PartitionedArray.partitionid_index_at

ak.partition.PartitionedArray.partitionid_index_at(self, at)

## ak.partition.PartitionedArray.repartition

ak.partition.PartitionedArray.repartition(self)

## ak.partition.PartitionedArray.stops

ak.partition.PartitionedArray.stops

## ak.partition.PartitionedArray.lengths

ak.partition.PartitionedArray.lengths

## ak.partition.PartitionedArray.start

ak.partition.PartitionedArray.start(self, partitionid)

## ak.partition.PartitionedArray.stop

ak.partition.PartitionedArray.stop(self, partitionid)

## ak.partition.PartitionedArray.toContent

ak.partition.PartitionedArray.toContent(self)

## ak.partition.PartitionedArray.__array__

ak.partition.PartitionedArray.__array__(self)

## ak.partition.PartitionedArray.identities

ak.partition.PartitionedArray.identities

## ak.partition.PartitionedArray.setidentities

ak.partition.PartitionedArray.setidentities(self, identities=None)

## ak.partition.PartitionedArray.parameters

ak.partition.PartitionedArray.parameters

## ak.partition.PartitionedArray.setparameter

ak.partition.PartitionedArray.setparameter(self, param, value)

## ak.partition.PartitionedArray.withparameter

ak.partition.PartitionedArray.withparameter(self, param, value)

## ak.partition.PartitionedArray.parameter

ak.partition.PartitionedArray.parameter(self)

## ak.partition.PartitionedArray.purelist_parameter

ak.partition.PartitionedArray.purelist_parameter(self)

## ak.partition.PartitionedArray.type

ak.partition.PartitionedArray.type(self, typestrs)

## ak.partition.PartitionedArray.form

ak.partition.PartitionedArray.form

## ak.partition.PartitionedArray.__len__

ak.partition.PartitionedArray.__len__(self)

## ak.partition.PartitionedArray.__getitem__

ak.partition.PartitionedArray.__getitem__(self, where)

## ak.partition.PartitionedArray.__iter__

ak.partition.PartitionedArray.__iter__(self)

## ak.partition.PartitionedArray.kernels

ak.partition.PartitionedArray.kernels

## ak.partition.PartitionedArray.caches

ak.partition.PartitionedArray.caches

## ak.partition.PartitionedArray.tojson

ak.partition.PartitionedArray.tojson(self)

## ak.partition.PartitionedArray.nbytes

ak.partition.PartitionedArray.nbytes

## ak.partition.PartitionedArray.deep_copy

ak.partition.PartitionedArray.deep_copy(self)

## ak.partition.PartitionedArray.identity

ak.partition.PartitionedArray.identity

## ak.partition.PartitionedArray.numfields

ak.partition.PartitionedArray.numfields

## ak.partition.PartitionedArray.fieldindex

ak.partition.PartitionedArray.fieldindex(self)

## ak.partition.PartitionedArray.key

ak.partition.PartitionedArray.key(self)

## ak.partition.PartitionedArray.haskey

ak.partition.PartitionedArray.haskey(self)

## ak.partition.PartitionedArray.keys

ak.partition.PartitionedArray.keys(self)

## ak.partition.PartitionedArray.purelist_isregular

ak.partition.PartitionedArray.purelist_isregular

## ak.partition.PartitionedArray.purelist_depth

ak.partition.PartitionedArray.purelist_depth

## ak.partition.PartitionedArray.branch_depth

ak.partition.PartitionedArray.branch_depth

## ak.partition.PartitionedArray.minmax_depth

ak.partition.PartitionedArray.minmax_depth

## ak.partition.PartitionedArray.getitem_nothing

ak.partition.PartitionedArray.getitem_nothing(self)

## ak.partition.PartitionedArray.getitem_at_nowrap

ak.partition.PartitionedArray.getitem_at_nowrap(self, where)

## ak.partition.PartitionedArray.getitem_range_nowrap

ak.partition.PartitionedArray.getitem_range_nowrap(self, start, stop)

## ak.partition.PartitionedArray._persistent_shared_ptr

ak.partition.PartitionedArray._persistent_shared_ptr

## ak.partition.PartitionedArray.validityerror

ak.partition.PartitionedArray.validityerror(self)

## ak.partition.PartitionedArray.fillna

ak.partition.PartitionedArray.fillna(self, what)

## ak.partition.PartitionedArray.num

ak.partition.PartitionedArray.num(self, axis)

## ak.partition.PartitionedArray.flatten

ak.partition.PartitionedArray.flatten(self)

## ak.partition.PartitionedArray.offsets_and_flatten

ak.partition.PartitionedArray.offsets_and_flatten(self, axis)

## ak.partition.PartitionedArray.rpad

ak.partition.PartitionedArray.rpad(self, length, axis)

## ak.partition.PartitionedArray.rpad_and_clip

ak.partition.PartitionedArray.rpad_and_clip(self, length, axis)

## ak.partition.PartitionedArray.mergeable

ak.partition.PartitionedArray.mergeable(self, other)

## ak.partition.PartitionedArray.merge

ak.partition.PartitionedArray.merge(self, other)

## ak.partition.PartitionedArray.mergemany

ak.partition.PartitionedArray.mergemany(self, others)

## ak.partition.PartitionedArray.axis_wrap_if_negative

ak.partition.PartitionedArray.axis_wrap_if_negative(self, axis)

## ak.partition.PartitionedArray.reduce

ak.partition.PartitionedArray.reduce(self, name, axis, mask, keepdims, initial=None)

## ak.partition.PartitionedArray.count

ak.partition.PartitionedArray.count(self, axis, mask, keepdims)

## ak.partition.PartitionedArray.count_nonzero

ak.partition.PartitionedArray.count_nonzero(self, axis, mask, keepdims)

## ak.partition.PartitionedArray.sum

ak.partition.PartitionedArray.sum(self, axis, mask, keepdims)

## ak.partition.PartitionedArray.prod

ak.partition.PartitionedArray.prod(self, axis, mask, keepdims)

## ak.partition.PartitionedArray.any

ak.partition.PartitionedArray.any(self, axis, mask, keepdims)

## ak.partition.PartitionedArray.all

ak.partition.PartitionedArray.all(self, axis, mask, keepdims)

## ak.partition.PartitionedArray.min

ak.partition.PartitionedArray.min(self, axis, mask, keepdims, initial)

## ak.partition.PartitionedArray.max

ak.partition.PartitionedArray.max(self, axis, mask, keepdims, initial)

## ak.partition.PartitionedArray.argmin

ak.partition.PartitionedArray.argmin(self, axis, mask, keepdims)

## ak.partition.PartitionedArray.argmax

ak.partition.PartitionedArray.argmax(self, axis, mask, keepdims)

## ak.partition.PartitionedArray.localindex

ak.partition.PartitionedArray.localindex(self, axis)

## ak.partition.PartitionedArray.combinations

ak.partition.PartitionedArray.combinations(self, n, replacement, keys, parameters, axis)

## ak.partition.PartitionedArray.sort

ak.partition.PartitionedArray.sort(self, axis, ascending, stable)

## ak.partition.PartitionedArray.argsort

ak.partition.PartitionedArray.argsort(self, axis, ascending, stable)

## ak.partition.PartitionedArray.numbers_to_type

ak.partition.PartitionedArray.numbers_to_type(self, dtype_string)

## ak.partition.PartitionedArray.is_unique

ak.partition.PartitionedArray.is_unique(self)

## ak.partition.PartitionedArray.copy_to

ak.partition.PartitionedArray.copy_to(self, ptr_lib)

## ak.partition.PartitionedArray.carry

ak.partition.PartitionedArray.carry(self, carry, allow_lazy)