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Update python.md for new matplotlib integration

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Alex Goodman 2016-11-03 14:25:32 -07:00
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docs/interpreter/python.md
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@ -86,16 +86,24 @@ print("".join(z.checkbox("f3", [("o1","1"), ("o2","2")],["1"])))
* Code-completion is currently not implemented.
## Matplotlib integration
The python interpreter can display matplotlib figures inline automatically using the `pyplot` module:
```python
```python
%python
import matplotlib.pyplot as plt
plt.plot([1, 2, 3])
```
This is the recommended method for using matplotlib from within a Zeppelin notebook. More details can be found in the included "Zeppelin Tutorial: Python - matplotlib basic" tutorial notebook. If Zeppelin cannot find the matplotlib backend files (which should usually be found in `$ZEPPELIN_HOME/lib/python`) in your `PYTHONPATH`, then the backend will automatically be set to agg, and the (otherwise deprecated) instructions below can be used for more limited inline plotting.
This is the recommended method for using matplotlib from within a Zeppelin notebook. The output of this command will by default be converted to HTML by implicitly making use of the `%html` magic. Additional configuration can be achieved using the builtin `z.configure_mpl()` method. For example,
```python
z.configure_mpl(width=400, height=300, fmt='svg')
plt.plot([1, 2, 3])
```
Will produce a 400x300 image in SVG format, which by default are normally 600x400 and PNG respectively. In the future, another option called `angular` can be used to make it possible to update a plot produced from one paragraph directly from another (the output will be `%angular` instead of `%html`). However, this feature is already available in the `pyspark` interpreter. More details can be found in the included "Zeppelin Tutorial: Python - matplotlib basic" tutorial notebook.
If Zeppelin cannot find the matplotlib backend files (which should usually be found in `$ZEPPELIN_HOME/lib/python`) in your `PYTHONPATH`, then the backend will automatically be set to agg, and the (otherwise deprecated) instructions below can be used for more limited inline plotting.
If you are unable to load the inline backend, use `z.show(plt)`:
```python