Commit 96e8d34c authored by Iain's avatar Iain Committed by Maxim Belkin

01-numpy.md: Remove paragraph about '%matplotlib inline' magic (#733)

Resolves: swcarpentry/python-novice-inflammation#716
parent ab3246cc
...@@ -740,26 +740,7 @@ matplotlib.pyplot.show() ...@@ -740,26 +740,7 @@ matplotlib.pyplot.show()
![Heatmap of the Data](../fig/inflammation-01-imshow.svg) ![Heatmap of the Data](../fig/inflammation-01-imshow.svg)
Blue pixels in this heat map represent low values, while yellow pixels represent high values. As we Blue pixels in this heat map represent low values, while yellow pixels represent high values. As we
can see, inflammation rises and falls over a 40-day period. can see, inflammation rises and falls over a 40-day period. Let's take a look at the average inflammation over time:
> ## Some IPython Magic
>
> If you're using a Jupyter notebook,
> you'll need to execute the following command
> in order for your matplotlib images to appear
> in the notebook when `show()` is called:
>
> ~~~
> %matplotlib inline
> ~~~
> {: .language-python}
>
> The `%` indicates an IPython magic function -
> a function that is only valid within the notebook environment.
> Note that you only have to execute this function once per notebook.
{: .callout}
Let's take a look at the average inflammation over time:
~~~ ~~~
ave_inflammation = numpy.mean(data, axis=0) ave_inflammation = numpy.mean(data, axis=0)
......
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