GitHub user bzz opened a pull request:
https://github.com/apache/zeppelin/pull/1067
ZEPPELIN-1048: Pandas support for python interpreter
### What is this PR for?
### What type of PR is it?
Feature
### Todos
* [x] fix NPE in logs on empty paragraph execution
* [x] matplotlib: refactor `zeppelin_show(plt)` -> `z.show(plt)`
* [x] pandas: support `z.show(df)`
* [ ] update docs
### What is the Jira issue?
[ZEPPELIN-1048](https://issues.apache.org/jira/browse/ZEPPELIN-1048)
### How should this be tested?
"Zeppelin Tutorial: Python - matplotlib basic" should work, and
```python
import pandas as pd
rates = pd.read_csv("bank.csv", sep=";")
z.show(rates)
```
### Screenshots (if appropriate)
### Questions:
* Does the licenses files need update? No
* Is there breaking changes for older versions? No
* Does this needs documentation? Yes
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/bzz/incubator-zeppelin python/pandas-support
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/zeppelin/pull/1067.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 #1067
----
commit 15646a1cc4ad0e4967161f5f4507c2494c7b40b8
Author: Alexander Bezzubov <b...@apache.org>
Date: 2016-06-20T09:52:27Z
Python: refactoring to z.show()
commit a7248cdc94bd6f9619df5904225b7883b5aea193
Author: Alexander Bezzubov <b...@apache.org>
Date: 2016-06-22T03:05:33Z
Python: draft of pandas support
commit bc91b86f94c7529d279600d7408687fc874c0382
Author: Alexander Bezzubov <b...@apache.org>
Date: 2016-06-22T08:49:23Z
Python: skip interpreting empty paragraphs
commit 52e787d1a452a50cecc5b11e480ca0fbd923f47f
Author: Alexander Bezzubov <b...@apache.org>
Date: 2016-06-22T08:52:26Z
Python: pandas DataFrame using Table display system
commit 71be41890378a96202c9ce6e3b4e1a107fbed098
Author: Alexander Bezzubov <b...@apache.org>
Date: 2016-06-22T16:23:40Z
Python: limit 1000 for table display system on DataFrame
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