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Posted to issues@arrow.apache.org by "Antoine Pitrou (Jira)" <ji...@apache.org> on 2021/08/18 16:02:00 UTC
[jira] [Created] (ARROW-13665) [C++][Python] Generated argument
description for compute meta-functions not accurate
Antoine Pitrou created ARROW-13665:
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Summary: [C++][Python] Generated argument description for compute meta-functions not accurate
Key: ARROW-13665
URL: https://issues.apache.org/jira/browse/ARROW-13665
Project: Apache Arrow
Issue Type: Bug
Components: C++, Python
Reporter: Antoine Pitrou
Examples:
{code}
>>> ?pc.drop_null
Signature: pc.drop_null(input, *, memory_pool=None)
Docstring:
Drop nulls from the input.
The output is populated with values from the input (Array, ChunkedArray,
RecordBatch, or Table) without the null values.
For the RecordBatch and Table cases, `drop_null` drops the full row if
there is any null.
Parameters
----------
input : 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.
File: ~/arrow/dev/python/pyarrow/compute.py
Type: function
>>> ?pc.sort_indices
Signature: pc.sort_indices(input, *, memory_pool=None, options=None, sort_keys=None)
Docstring:
Return the indices that would sort an array, record batch or table.
This function computes an array of indices that define a stable sort
of the input array, record batch or table. Null values are considered
greater than any other value and are therefore sorted at the end of the
input. For floating-point types, NaNs are considered greater than any
other non-null value, but smaller than null values.
Parameters
----------
input : 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.SortOptions, optional
Parameters altering compute function semantics
**kwargs : optional
Parameters for SortOptions constructor. Either `options`
or `**kwargs` can be passed, but not both at the same time.
File: ~/arrow/dev/python/pyarrow/compute.py
Type: function
{code}
These two functions accepts arrays, chunked arrays, record batches and tables, but "input" says "Array-like or scalar-like".
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