GitHub user agoodm opened a pull request:
https://github.com/apache/zeppelin/pull/1534
[WIP]ZEPPELIN-1345 - Create a custom matplotlib backend that natively
supports inline plotting in a python interpreter cell
### What is this PR for?
This PR is the first of two major steps needed to improve matplotlib
integration in Zeppelin (ZEPPELIN-1344). The latter, which is a plotting
backend with fully interactive tools enabled, will be done afterwards in a
separate PR. This PR specifically for automatically displaying output from
calls to matplotlib plotting functions inline with each paragraph. Thanks to
the addition of post-execute hooks (ZEPPELIN-1423), there is no need to call
any `show()` function to display an inline plot, just like in Jupyter.
### What type of PR is it?
Improvement
### Todos
The main code has been written and anyone who reads this is encouraged to
test it, but there are a few minor todos:
* [ ] - Add unit tests
* [ ] - Add documentation
* [ ] - Add screenshot showing iterative plotting with angular mode
### What is the Jira issue?
[ZEPPELIN-1345](https://issues.apache.org/jira/browse/ZEPPELIN-1345)
### How should this be tested?
In a pyspark or python paragraph, enter and run
```python
import matplotlib.pyplot as plt
plt.plot([1, 2, 3])
```
The plot should be displayed automatically without calling any `show()`
function whatsoever. A special method called `configure_mpl()` can also be used
to modify the inline plotting behavior. For example,
```python
z.configure_mpl(close=False, angular=True)
plt.plot([1, 2, 3])
```
allows for iterative updates to the plot provided you have PY4J installed
for your python installation (which of course is always the case if you use
pypsark). Doing something like:
```
plt.plot([3, 2, 1])
```
will update the plot that was generated by the previous paragraph by
leveraging Zeppelin's Angular Display System. However, by setting
`close=False`, matplotlib will no longer automatically close figures so it is
now up to the user to explicitly close each figure instance they create.
There's quite a bit more options for `z.configure_mpl()`, but I will save that
discussion for the documentation.
### Screenshots (if appropriate)
TODO
### 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/agoodm/zeppelin ZEPPELIN-1345
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/zeppelin/pull/1534.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 #1534
----
commit fbc41c196823f0274f1a64011eb6581f6154547f
Author: Alex Goodman <[email protected]>
Date: 2016-10-05T22:26:14Z
Add new matplotlib backend for python/pyspark interpreters
commit ced636d1b96f4a566bf46e4b35bbabfa511ae146
Author: Alex Goodman <[email protected]>
Date: 2016-10-06T22:16:59Z
Added support for Angular Display System
commit c5bcbcceb89e6daf3fdf484589c0aed8efe8d7ae
Author: Alex Goodman <[email protected]>
Date: 2016-10-06T23:40:54Z
Removed unused variable
----
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