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Posted to github@arrow.apache.org by GitBox <gi...@apache.org> on 2022/05/12 04:47:39 UTC

[GitHub] [arrow] AlenkaF commented on issue #13125: parquet conversion failed,Bool column has NA values in column boolean__v

AlenkaF commented on issue #13125:
URL: https://github.com/apache/arrow/issues/13125#issuecomment-1124525696

   What version of PyArrow are you using?
   
   I created this minimal reproducible example, can you run it and check if it works for you?
   
   ```python
   import pandas as pd
   import pyarrow as pa
   import pyarrow.parquet as pq
   
   chunk = pd.DataFrame([True, False, None], columns=['col1'])
   field = pa.field("col1", pa.bool_())
   glue_schema = pa.schema([field])
   
   table = pa.Table.from_pandas(chunk, preserve_index=False, schema=glue_schema)
   
   # Open a Parquet file for writing
   pq_writer = pq.ParquetWriter('example.parquet', 
                                schema = glue_schema,
                                compression='snappy')
   
   # Write CSV chunk to the parquet file
   pq_writer.write_table(table)
   pq_writer.close()
   
   # Read the chunk
   pq.read_table('example.parquet').to_pandas()
   ```
   
   It should create this output:
   
   ```python
   >>> pq.read_table('example.parquet').to_pandas()
       col1
   0   True
   1  False
   2   None
   ```


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