[Python] expose filters argument in parquet.read_table

[asfimport]

Currently, the parquet.read_table function can be used both for reading a single file (interface to ParquetFile) as a directory (interface to ParquetDataset).

ParquetDataset has some extra keywords such as filters that would be nice to expose through read_table as well.

Of course one can always use ParquetDataset if you need its power, but for pandas wrapping pyarrow it is easier to be able to pass through keywords just to parquet.read_table instead of calling either read_table or ParquetDataset. Context: pandas-dev/pandas#26551

Reporter: Joris Van den Bossche / @jorisvandenbossche
Assignee: Joris Van den Bossche / @jorisvandenbossche

Related issues:

• [Python] unexpected content after groupby on a dataframe restored from partitioned parquet with filters (is related to)

PRs and other links:

• GitHub Pull Request #4409

_{Note: This issue was originally created as ARROW-5436. Please see the migration documentation for further details.}

[asfimport]

Uwe Korn / @xhochy:
Issue resolved by pull request 4409
#4409