pyarrow.compute.hash_approximate_median¶
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pyarrow.compute.hash_approximate_median(array, group_id_array, *, memory_pool=None, options=None, skip_nulls=True, min_count=1)¶ Calculate approximate medians of a numeric array with the T-Digest algorithm.
Nulls and NaNs are ignored. Null is emitted for a group if there are no valid data points.
- Parameters
array (Array-like or scalar-like) – Argument to compute function
group_id_array (Array-like or scalar-like) – Argument to compute function
memory_pool (pyarrow.MemoryPool, optional) – If not passed, will allocate memory from the default memory pool.
options (pyarrow.compute.ScalarAggregateOptions, optional) – Parameters altering compute function semantics.
skip_nulls (optional) – Parameter for ScalarAggregateOptions constructor. Either options or skip_nulls can be passed, but not both at the same time.
min_count (optional) – Parameter for ScalarAggregateOptions constructor. Either options or min_count can be passed, but not both at the same time.