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Joris Van den Bossche commented on ARROW-5139: ---------------------------------------------- Now we add the {{preserve_index=None / True}} distinction, the original example with {{preserve_index=True}} is working again as expected. When doing the same example with the default of None ({{pa.Table.from_pandas(df, columns=[], preserve_index=None).to_pandas()}}), that still gives the same problem as reported. For that one, I am not sure what is the best solution (do we want to go down the route of a Table having 0 columns but a non-zero {{num_rows}} ?) > [Python/C++] Empty column selection no longer restores index > ------------------------------------------------------------ > > Key: ARROW-5139 > URL: https://issues.apache.org/jira/browse/ARROW-5139 > Project: Apache Arrow > Issue Type: Bug > Components: C++, Python > Affects Versions: 0.12.1 > Reporter: Florian Jetter > Priority: Minor > Labels: parquet > Fix For: 0.15.0 > > > The index of a dataframe is no longer reconstructed when using empty column > selection. This is a regression to 0.12.1 and probably only happens for > pd.RangeIndex > {code:python} > import pandas as pd > import pyarrow as pa > import pyarrow.parquet as pq > from kartothek.serialization import ParquetSerializer > from storefact import get_store_from_url > print(pa.__version__) > df = pd.DataFrame( > {"a": [1, 2]} > ) > print(df.index) > table = pa.Table.from_pandas(df) > buf = pa.BufferOutputStream() > pq.write_table(table, buf) > reader = pa.BufferReader(buf.getvalue().to_pybytes()) > table_restored = pq.read_pandas(reader, columns=[]) > df_restored = table_restored.to_pandas() > print(len(df_restored)) > {code} -- This message was sent by Atlassian Jira (v8.3.2#803003)