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Posted to issues@arrow.apache.org by "Antoine Pitrou (JIRA)" <ji...@apache.org> on 2019/04/11 15:21:00 UTC
[jira] [Created] (ARROW-5161) [Python] Cannot convert struct type
from Pandas object column
Antoine Pitrou created ARROW-5161:
-------------------------------------
Summary: [Python] Cannot convert struct type from Pandas object column
Key: ARROW-5161
URL: https://issues.apache.org/jira/browse/ARROW-5161
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 0.13.0
Reporter: Antoine Pitrou
As reported on [https://github.com/apache/arrow/issues/4045]. Interestingly, the datatype is inferred correctly.
{code:python}
>>> df = pd.DataFrame({'col': [{'ints': 5, 'strs': 'foo'}, {'ints': 6, 'strs': 'bar'}]})
>>> df
col
0 {'ints': 5, 'strs': 'foo'}
1 {'ints': 6, 'strs': 'bar'}
>>> pa.Table.from_pandas(df)
Traceback (most recent call last):
File "<ipython-input-16-6eac5d0eec08>", line 1, in <module>
pa.Table.from_pandas(df)
File "pyarrow/table.pxi", line 1139, in pyarrow.lib.Table.from_pandas
names, arrays, metadata = dataframe_to_arrays(
File "/home/antoine/arrow/dev/python/pyarrow/pandas_compat.py", line 480, in dataframe_to_arrays
types)
File "/home/antoine/arrow/dev/python/pyarrow/pandas_compat.py", line 209, in construct_metadata
field_name=sanitized_name)
File "/home/antoine/arrow/dev/python/pyarrow/pandas_compat.py", line 151, in get_column_metadata
logical_type = get_logical_type(arrow_type)
File "/home/antoine/arrow/dev/python/pyarrow/pandas_compat.py", line 79, in get_logical_type
raise NotImplementedError(str(arrow_type))
NotImplementedError: struct<ints: int64, strs: string>
{code}
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