[GitHub] [arrow] ni-todo-spot commented on issue #13353: Casting a decimal column of a table into a float type when converting a table into a pandas dataframe

[GitBox <gi...@apache.org>]

ni-todo-spot commented on issue #13353:
URL: https://github.com/apache/arrow/issues/13353#issuecomment-1153106500

   @westonpace Thanks for your reply!
   I think using your answer I can implement a solution which is good enough (adding it here in case someone might find it useful):
   
   ```python
   
   import pandas as pd
   import pyarrow as pa
   import pyarrow.compute as pac
   
   table = ... # contains a decimal column
   for i, (col_name, type_) in enumerate(zip(table.schema.names, table.schema.types)):
       if pa.types.is_decimal(type_):
           table = table.set_column(i, col_name, pac.cast(table.column(col_name), pa.float64()))
   df = table.to_pandas()
   ```
   
   Thanks a lot!


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