GitHub user ueshin opened a pull request:
https://github.com/apache/spark/pull/18933
[SPARK-21722][SQL][PYTHON] Enable timezone-aware timestamp type when
creating Pandas DataFrame.
## What changes were proposed in this pull request?
Make Pandas DataFrame with timezone-aware timestamp type when converting
`DataFrame` to Pandas DataFrame by `pyspark.sql.DataFrame.toPandas`.
The session local timezone is used for the timezone.
## How was this patch tested?
Added a test and existing tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ueshin/apache-spark issues/SPARK-21722
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18933.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #18933
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commit 0f182d0f6d8e1eb3b92e7e0eb39f2616235c1368
Author: Takuya UESHIN <ues...@databricks.com>
Date: 2017-08-14T02:08:03Z
Enable timezone-aware timestamp type when creating Pandas DataFrame.
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