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Alex Goodman
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4ac577f711 |
[ZEPPELIN-1639] Add tests with external python dependencies to CI build
### What is this PR for? Take 2 of #1618 because I had some earlier problems with rebasing. Since, then I have added some new features, namely: - Matplotlib integration tests for pyspark - `install_external_dependencies.sh` which conditionally installs the R or python dependencies based on the specified build profile in `.travis.yml`. This saves several minutes of time for a few of the build profiles since the R dependencies are compiled from source and therefore take quite a bit of time to install. - The extra python unit tests which require external dependencies (`matplotlib` and `pandas`) are now relegated to two separate build profiles. This is done primarily to efficiently test both Python 2 and 3. - Some minor bugs in the python and pyspark interpreters (mostly with respect to python 3 compatibility) were caught as a result of these tests, and are also fixed in this PR. ### What type of PR is it? Improvement and Bugfix ### What is the Jira issue? [ZEPPELIN-1639](https://issues.apache.org/jira/browse/ZEPPELIN-1639) ### How should this be tested? CI tests should be green! ### Questions: * Does the licenses files need update? No * Is there breaking changes for older versions? No * Does this needs documentation? No Author: Alex Goodman <agoodm@users.noreply.github.com> Closes #1632 from agoodm/ZEPPELIN-1639 and squashes the following commits: |
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Alex Goodman
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438dbca686 |
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: - [x] - Add unit tests - [x] - Add documentation - [x] - 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). To clarify, this feature only currently works with pyspark (not python as there are no `angularBind()` and `angularUnbind()` methods yet). 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)  ### Questions: - Does the licenses files need update? No - Is there breaking changes for older versions? No - Does this needs documentation? Yes Author: Alex Goodman <agoodm@users.noreply.github.com> Closes #1534 from agoodm/ZEPPELIN-1345 and squashes the following commits: |
