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Posted to github@arrow.apache.org by GitBox <gi...@apache.org> on 2022/03/20 11:02:41 UTC

[GitHub] [arrow] ryankshah opened a new issue #12674: pyarrow.lib.ArrowNotImplementedError: ('Unsupported numpy type 14', 'Conversion failed for column signal with type object')

ryankshah opened a new issue #12674:
URL: https://github.com/apache/arrow/issues/12674


   Hi all,
   
   For reference I am using `numpy=1.22.3` and `pyarrow=7.0.0`.
   
   I am aiming to create a dataset (and store in feather format) for STFT data from digital signal analysis, with the STFT array in the type/shape: `<class 'numpy.ndarray'> \\ (10001, 401)`. An example of this data is:
   
   ```
   [[ 1.24496163e-03+0.0000000e+00j  1.17749616e-04+0.0000000e+00j
      8.92068347e-05+0.0000000e+00j ... -3.55575146e-04+0.0000000e+00j
     -3.53000971e-04+0.0000000e+00j -1.35809695e-03+0.0000000e+00j]
    [-1.20925368e-03+2.0470628e-05j -5.52154524e-05-3.7754296e-05j
     -7.05739149e-05-7.2288349e-05j ...  2.85753951e-04+4.1393949e-05j
      1.60366966e-04-2.7969104e-04j  1.15900207e-03+2.3369875e-04j]
    [ 1.19788689e-03+3.3121873e-05j -6.23480264e-06+4.2733776e-05j
      4.23972924e-05+8.2590450e-05j ... -1.44452570e-04+8.9506881e-05j
     -1.42675699e-05+1.8458923e-04j -9.61950631e-04-1.2690650e-04j]
    ...
    [-1.11952168e-05+1.8826026e-06j  3.46628576e-06-2.0878474e-06j
     -1.54314409e-06-2.8386687e-06j ... -1.41124383e-06-2.3261330e-06j
     -5.40845519e-07-2.5624531e-06j  1.46134671e-05-1.2955890e-06j]
    [ 8.70186886e-06-2.8798408e-06j -3.47046830e-06+4.1321928e-06j
      1.99560964e-06-2.9683741e-07j ... -3.09421989e-06+8.9018937e-07j
     -1.19136712e-06+2.9354976e-06j -1.56483602e-05+6.8048553e-07j]
    [-6.49670437e-06+0.0000000e+00j  4.49650315e-06+0.0000000e+00j
     -2.71528188e-06+0.0000000e+00j ...  6.58240697e-06+0.0000000e+00j
      3.21866310e-06+0.0000000e+00j  1.57587510e-05+0.0000000e+00j]]
   ```
   
   This data is being stored in a dataframe and written to feather as follows: `feather.write_feather(pd.DataFrame([{'id': i, 'movement': y, 'distance': movedist, 'speed': speed, 'signal': Zxx}]), dataset_file)` with the `dataset_file` reference pointing to a `with open(.., 'wb') as dataset_file`.
   
   The error I am getting is:
   
   > Traceback (most recent call last):
   >   File "analyse_cvnn.py", line 108, in <module>
   >     feather.write_feather(pd.DataFrame([{'id': i, 'movement': y, 'distance': movedist, 'speed': speed, 'signal': Zxx}]), dataset_file)
   >   File "C:\Python38\lib\site-packages\pyarrow\feather.py", line 154, in write_feather
   >     table = Table.from_pandas(df, preserve_index=False)
   >   File "pyarrow\table.pxi", line 1782, in pyarrow.lib.Table.from_pandas
   >   File "C:\Python38\lib\site-packages\pyarrow\pandas_compat.py", line 594, in dataframe_to_arrays
   >     arrays = [convert_column(c, f)
   >   File "C:\Python38\lib\site-packages\pyarrow\pandas_compat.py", line 594, in <listcomp>       
   >     arrays = [convert_column(c, f)
   >   File "C:\Python38\lib\site-packages\pyarrow\pandas_compat.py", line 581, in convert_column   
   >     raise e
   >   File "C:\Python38\lib\site-packages\pyarrow\pandas_compat.py", line 575, in convert_column   
   >     result = pa.array(col, type=type_, from_pandas=True, safe=safe)
   >   File "pyarrow\array.pxi", line 312, in pyarrow.lib.array
   >   File "pyarrow\array.pxi", line 83, in pyarrow.lib._ndarray_to_array
   >   File "pyarrow\error.pxi", line 120, in pyarrow.lib.check_status
   > pyarrow.lib.ArrowNotImplementedError: ('Unsupported numpy type 14', 'Conversion failed for column signal with type object')
   
   I am running Windows 10 x64, 16GB RAM, Python 3.8.2


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[GitHub] [arrow] jorisvandenbossche commented on issue #12674: [Python] pyarrow.lib.ArrowNotImplementedError: ('Unsupported numpy type 14', 'Conversion failed for column signal with type object')

Posted by GitBox <gi...@apache.org>.
jorisvandenbossche commented on issue #12674:
URL: https://github.com/apache/arrow/issues/12674#issuecomment-1073666664


   Can you provide a reproducible example?
   
   Looking at the example output of the data, you are working with complex data type? That is already not supported by Arrow (although the error traceback you show is about a different data type):
   
   ```
   In [22]: pa.array(np.array([1+1j, 2, 3]))
   ...
   ArrowNotImplementedError: Unsupported numpy type 15
   ```
   
   


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