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  1. Apache Arrow
  2. ARROW-1992

[Python] to_pandas crashes when using strings_to_categoricals on empty string cols on 0.8.0

    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 0.8.0
    • Fix Version/s: 0.9.0
    • Component/s: None
    • Environment:
      OS: Windows
      Python: PY36 x64
      Pandas: 0.22.0
      pyarrow: 0.8.0

      Description

      When trying to read back a table, Python crashes when pyarrow is used to read/convert a table that has a column of 0 length `strings and strings_to_categorical=True`. Example code below.
      This same test ran ok with pyarrow 0.7.1

      import pandas as pd
      import pyarrow as pa
      
      df = pd.DataFrame({
          'Foo': ['A', 'A', 'B', 'B', 'C'],
          'Bar': ['A1', 'A2', 'B2', 'D3', ''],
          'Baz': ['', '', '', '', ''],
      })
      
      table = pa.Table.from_pandas(df)
      
      df = table.to_pandas(strings_to_categorical=False)  # Works
      print('Categoricals=False', len(df))
      
      df = table.to_pandas(strings_to_categorical=True)  # Crashes
      print('Categoricals=True', len(df))
      

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              • Assignee:
                Licht-T Licht Takeuchi
                Reporter:
                vmuriart Victor Uriarte
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                Dates

                • Created:
                  Updated:
                  Resolved: