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https://issues.apache.org/jira/browse/SPARK-11758?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-11758.
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Resolution: Incomplete
> 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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