[jira] [Updated] (SPARK-11758) Missing Index column while creating a DataFrame from Pandas

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-11758?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-11758:
---------------------------------
    Labels: bulk-closed  (was: )

> Missing Index column while creating a DataFrame from Pandas 
> ------------------------------------------------------------
>
>                 Key: SPARK-11758
>                 URL: https://issues.apache.org/jira/browse/SPARK-11758
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, SQL
>    Affects Versions: 1.5.1
>         Environment: Linux Debian, PySpark, in local testing.
>            Reporter: Leandro Ferrado
>            Priority: Minor
>              Labels: bulk-closed
>   Original Estimate: 5h
>  Remaining Estimate: 5h
>
> In PySpark's SQLContext, when it invokes createDataFrame() from a pandas.DataFrame and indicating a 'schema' with StructFields, the function _createFromLocal() converts the pandas.DataFrame but ignoring two points:
> - Index column, because the flag index=False
> - Timestamp's records, because a Date column can't be index and Pandas doesn't converts its records in Timestamp's type.
> So, converting a DataFrame from Pandas to SQL is poor in scenarios with temporal records.
> Doc: http://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.DataFrame.to_records.html
> Affected code:
> def _createFromLocal(self, data, schema):
>         """
>         Create an RDD for DataFrame from an list or pandas.DataFrame, returns
>         the RDD and schema.
>         """
>         if has_pandas and isinstance(data, pandas.DataFrame):
>             if schema is None:
>                 schema = [str(x) for x in data.columns]
>             data = [r.tolist() for r in data.to_records(index=False)]  # HERE
>         # ...



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