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Posted to issues@arrow.apache.org by "Abdul Rahman (JIRA)" <ji...@apache.org> on 2017/05/28 02:37:04 UTC

[jira] [Created] (ARROW-1074) from_pandas doesnt convert ndarray to list

Abdul Rahman created ARROW-1074:
-----------------------------------

             Summary: from_pandas doesnt convert ndarray to list
                 Key: ARROW-1074
                 URL: https://issues.apache.org/jira/browse/ARROW-1074
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 0.4.0
            Reporter: Abdul Rahman
            Priority: Minor


[Feel free to change issue type because this is probably by design]

I have noticed that that if the one of the columns in the parquet file is of type array, pyarrow table stores it as list
>>> table[3].type
DataType(list<element: string>)
If I do a .to_pandas() on the column, I get something like this
0         None                                                                                                     
1          [7]                                                                                                     
2         [46]  
dtype: object

However, I cant do a pyarrow.Table.from_pandas from a dataframe having the above ndarray as a series/column. I get this error
Invalid: Python object of type ndarray is not None and is not a string, bool, float, int, date,
decimal object

If to_pandas() can covert a list to ndarray, shouldnt from_pandas also convert an ndarray to type list in the table ?



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