[jira] [Created] (ARROW-7002) Support pandas nullable integer type Int64

["Christian Roth (Jira)" <ji...@apache.org>]

Christian Roth created ARROW-7002:
-------------------------------------

             Summary: Support pandas nullable integer type Int64
                 Key: ARROW-7002
                 URL: https://issues.apache.org/jira/browse/ARROW-7002
             Project: Apache Arrow
          Issue Type: New Feature
            Reporter: Christian Roth


Pandas has a nullable integer type Int64 which does not seem to be supported by feather yet.

{code:python}
from pyarrow import feather
import pandas as pd

col1 = pd.Series([0, None, 1, 23]).astype('Int64')
col2 = pd.Series([1, 3, 2, 1]).astype('Int64')

df = pd.DataFrame({'a': col1, 'b': col2})

feather.write_feather(df, '/tmp/foo')
{code}

Gives following error message:

{code}
---------------------------------------------------------------------------
ArrowTypeError                            Traceback (most recent call last)
<ipython-input-107-8cc611a30355> in <module>
----> 1 feather.write_feather(df, '/tmp/foo')

~/miniconda3/envs/sci36/lib/python3.6/site-packages/pyarrow/feather.py in write_feather(df, dest)
    181     writer = FeatherWriter(dest)
    182     try:
--> 183         writer.write(df)
    184     except Exception:
    185         # Try to make sure the resource is closed

~/miniconda3/envs/sci36/lib/python3.6/site-packages/pyarrow/feather.py in write(self, df)
     92         # TODO(wesm): Remove this length check, see ARROW-1732
     93         if len(df.columns) > 0:
---> 94             table = Table.from_pandas(df, preserve_index=False)
     95             for i, name in enumerate(table.schema.names):
     96                 col = table[i]

~/miniconda3/envs/sci36/lib/python3.6/site-packages/pyarrow/table.pxi in pyarrow.lib.Table.from_pandas()

~/miniconda3/envs/sci36/lib/python3.6/site-packages/pyarrow/pandas_compat.py in dataframe_to_arrays(df, schema, preserve_index, nthreads, columns, safe)
    551     if nthreads == 1:
    552         arrays = [convert_column(c, f)
--> 553                   for c, f in zip(columns_to_convert, convert_fields)]
    554     else:
    555         from concurrent import futures

~/miniconda3/envs/sci36/lib/python3.6/site-packages/pyarrow/pandas_compat.py in <listcomp>(.0)
    551     if nthreads == 1:
    552         arrays = [convert_column(c, f)
--> 553                   for c, f in zip(columns_to_convert, convert_fields)]
    554     else:
    555         from concurrent import futures

~/miniconda3/envs/sci36/lib/python3.6/site-packages/pyarrow/pandas_compat.py in convert_column(col, field)
    542             e.args += ("Conversion failed for column {0!s} with type {1!s}"
    543                        .format(col.name, col.dtype),)
--> 544             raise e
    545         if not field_nullable and result.null_count > 0:
    546             raise ValueError("Field {} was non-nullable but pandas column "

~/miniconda3/envs/sci36/lib/python3.6/site-packages/pyarrow/pandas_compat.py in convert_column(col, field)
    536 
    537         try:
--> 538             result = pa.array(col, type=type_, from_pandas=True, safe=safe)
    539         except (pa.ArrowInvalid,
    540                 pa.ArrowNotImplementedError,

ArrowTypeError: ('Did not pass numpy.dtype object', 'Conversion failed for column a with type Int64')
{code}






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