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Posted to issues@arrow.apache.org by "j-bennet (via GitHub)" <gi...@apache.org> on 2023/03/04 00:42:29 UTC

[GitHub] [arrow] j-bennet opened a new issue, #34449: [Python] `to_parquet` fails with a category field backed by pyarrow string

j-bennet opened a new issue, #34449:
URL: https://github.com/apache/arrow/issues/34449

   ### Describe the bug, including details regarding any error messages, version, and platform.
   
   Originally filed in pandas-dev, but was told that the issue is in pyarrow:
   
   * https://github.com/pandas-dev/pandas/issues/51752
   
   What's happening:
   
   ```python
   import pandas as pd
   
   df = pd.DataFrame({"x": [1, 2, 3, 4, 5], "y": list("caaab")})
   df["y"] = df["y"].astype(pd.StringDtype("pyarrow"))
   df["y"] = df["y"].astype("category")
   df.to_parquet("test-arrow.parquet")
   ```
   
   Traceback:
   
   ```
   Traceback (most recent call last):
     File "/Users/jbennet/Library/Application Support/JetBrains/PyCharm2022.3/scratches/writeparquet_pyarrow.py", line 6, in <module>
       df.to_parquet("test-arrow.parquet")
     File "/Users/jbennet/mambaforge/envs/pandas-dev/lib/python3.8/site-packages/pandas/util/_decorators.py", line 211, in wrapper
       return func(*args, **kwargs)
     File "/Users/jbennet/mambaforge/envs/pandas-dev/lib/python3.8/site-packages/pandas/core/frame.py", line 2976, in to_parquet
       return to_parquet(
     File "/Users/jbennet/mambaforge/envs/pandas-dev/lib/python3.8/site-packages/pandas/io/parquet.py", line 430, in to_parquet
       impl.write(
     File "/Users/jbennet/mambaforge/envs/pandas-dev/lib/python3.8/site-packages/pandas/io/parquet.py", line 174, in write
       table = self.api.Table.from_pandas(df, **from_pandas_kwargs)
     File "pyarrow/table.pxi", line 3557, in pyarrow.lib.Table.from_pandas
     File "/Users/jbennet/mambaforge/envs/pandas-dev/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 611, in dataframe_to_arrays
       arrays = [convert_column(c, f)
     File "/Users/jbennet/mambaforge/envs/pandas-dev/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 611, in <listcomp>
       arrays = [convert_column(c, f)
     File "/Users/jbennet/mambaforge/envs/pandas-dev/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 598, in convert_column
       raise e
     File "/Users/jbennet/mambaforge/envs/pandas-dev/lib/python3.8/site-packages/pyarrow/pandas_compat.py", line 592, in convert_column
       result = pa.array(col, type=type_, from_pandas=True, safe=safe)
     File "pyarrow/array.pxi", line 310, in pyarrow.lib.array
     File "pyarrow/array.pxi", line 2608, in pyarrow.lib.DictionaryArray.from_arrays
     File "pyarrow/array.pxi", line 320, in pyarrow.lib.array
     File "pyarrow/array.pxi", line 39, in pyarrow.lib._sequence_to_array
     File "pyarrow/error.pxi", line 144, in pyarrow.lib.pyarrow_internal_check_status
     File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
   pyarrow.lib.ArrowInvalid: ("Could not convert <pyarrow.StringScalar: 'a'> with type pyarrow.lib.StringScalar: did not recognize Python value type when inferring an Arrow data type", 'Conversion failed for column y with type category')
   ```
   
   <details>
   
   INSTALLED VERSIONS
   ------------------
   commit           : d9ba285ac159d4113f1990ecfd13eeb2dda0ad29
   python           : 3.8.16.final.0
   python-bits      : 64
   OS               : Darwin
   OS-release       : 22.3.0
   Version          : Darwin Kernel Version 22.3.0: Thu Jan  5 20:50:36 PST 2023; root:xnu-8792.81.2~2/RELEASE_ARM64_T6020
   machine          : arm64
   processor        : arm
   byteorder        : little
   LC_ALL           : None
   LANG             : en_US.UTF-8
   LOCALE           : en_US.UTF-8
   
   pandas           : 2.1.0.dev0+112.gd9ba285ac1
   numpy            : 1.23.5
   pytz             : 2022.7.1
   dateutil         : 2.8.2
   setuptools       : 67.4.0
   pip              : 23.0.1
   Cython           : 0.29.33
   pytest           : 7.2.1
   hypothesis       : 6.68.2
   sphinx           : 4.5.0
   blosc            : None
   feather          : None
   xlsxwriter       : 3.0.8
   lxml.etree       : 4.9.2
   html5lib         : 1.1
   pymysql          : 1.0.2
   psycopg2         : 2.9.3
   jinja2           : 3.1.2
   IPython          : 8.11.0
   pandas_datareader: None
   bs4              : 4.11.2
   bottleneck       : 1.3.6
   brotli           :
   fastparquet      : 2023.2.0
   fsspec           : 2023.1.0
   gcsfs            : 2023.1.0
   matplotlib       : 3.6.3
   numba            : 0.56.4
   numexpr          : 2.8.3
   odfpy            : None
   openpyxl         : 3.1.0
   pandas_gbq       : None
   pyarrow          : 11.0.0
   pyreadstat       : 1.2.1
   pyxlsb           : 1.0.10
   s3fs             : 2023.1.0
   scipy            : 1.10.1
   snappy           :
   sqlalchemy       : 2.0.4
   tables           : 3.7.0
   tabulate         : 0.9.0
   xarray           : 2023.1.0
   xlrd             : 2.0.1
   zstandard        : 0.19.0
   tzdata           : None
   qtpy             : None
   pyqt5            : None
   
   </details>
   
   
   ### Component(s)
   
   Parquet, Python


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[GitHub] [arrow] AlenkaF commented on issue #34449: [Python] `to_parquet` fails with a category field backed by pyarrow string

Posted by "AlenkaF (via GitHub)" <gi...@apache.org>.
AlenkaF commented on issue #34449:
URL: https://github.com/apache/arrow/issues/34449#issuecomment-1455695427

   Thank you for reporting. Yes, this is a known bug in pyarrow and is already being fixed in https://github.com/apache/arrow/issues/33727 with https://github.com/apache/arrow/pull/34289.
   
   Running your example on the linked PR branch:
   
   ```python
   >>> df = pd.DataFrame({"x": [1, 2, 3, 4, 5], "y": list("caaab")})
   >>> df["y"] = df["y"].astype(pd.StringDtype("pyarrow"))
   >>> df["y"] = df["y"].astype("category")
   >>> df.to_parquet("test-arrow.parquet")
   
   >>> pd.read_parquet("test-arrow.parquet")
      x  y
   0  1  c
   1  2  a
   2  3  a
   3  4  a
   4  5  b
   >>> pd.read_parquet("test-arrow.parquet").dtypes
   x       int64
   y    category
   dtype: object
   >>> pd.read_parquet("test-arrow.parquet").dtypes.y
   CategoricalDtype(categories=['a', 'b', 'c'], ordered=False)
   ```


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[GitHub] [arrow] AlenkaF commented on issue #34449: [Python] `to_parquet` fails with a category field backed by pyarrow string

Posted by "AlenkaF (via GitHub)" <gi...@apache.org>.
AlenkaF commented on issue #34449:
URL: https://github.com/apache/arrow/issues/34449#issuecomment-1455707116

   Duplicate of #33727


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[GitHub] [arrow] AlenkaF closed issue #34449: [Python] `to_parquet` fails with a category field backed by pyarrow string

Posted by "AlenkaF (via GitHub)" <gi...@apache.org>.
AlenkaF closed issue #34449: [Python] `to_parquet` fails with a category field backed by pyarrow string
URL: https://github.com/apache/arrow/issues/34449


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