GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/11356
Added Python API for approxQuantile
## What changes were proposed in this pull request?
* Scala DataFrameStatFunctions: Added version of approxQuantile taking a
List instead of an Array, for Python compatbility
* Python DataFrame and DataFrameStatFunctions: Added approxQuantile
## How was this patch tested?
* unit test in sql/tests.py
Documentation was copied from the existing approxQuantile exactly.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jkbradley/spark approx-quantile-python
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11356.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 #11356
----
commit e2f85b623a33982e3b9737a86442a04ee6c7f9eb
Author: Joseph K. Bradley <[email protected]>
Date: 2016-02-25T00:52:16Z
Added Python API for approxQuantile
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
