ak.argsort

Defined in awkward.operations.structure on line 2621.

ak.argsort(array, axis=-1, ascending=True, stable=True, highlevel=True, behavior=None)
Parameters

  • array – Data for which to get a sorting index, possibly within nested lists.

  • axis (int) – The dimension at which this operation is applied. The outermost dimension is 0, followed by 1, etc., and negative values count backward from the innermost: -1 is the innermost dimension, -2 is the next level up, etc.

  • ascending (bool) – If True, the first value in each sorted group will be smallest, the last value largest; if False, the order is from largest to smallest.

  • stable (bool) – If True, use a stable sorting algorithm (introsort: a hybrid of quicksort, heapsort, and insertion sort); if False, use a sorting algorithm that is not guaranteed to be stable (heapsort).

  • highlevel (bool) – If True, return an ak.Array; otherwise, return a low-level ak.layout.Content subclass.

  • behavior (None or dict) – Custom ak.behavior for the output array, if high-level.

For example,

>>> ak.argsort(ak.Array([[7.7, 5.5, 7.7], [], [2.2], [8.8, 2.2]]))
<Array [[1, 0, 2], [], [0], [1, 0]] type='4 * var * int64'>

The result of this function can be used to index other arrays with the same shape:

>>> data = ak.Array([[7, 5, 7], [], [2], [8, 2]])
>>> index = ak.argsort(index)
>>> index
<Array [[1, 0, 2], [], [0], [1, 0]] type='4 * var * int64'>
>>> data[index]
<Array [[5, 7, 7], [], [2], [2, 8]] type='4 * var * int64'>