diff git a/_episodes/01numpy.md b/_episodes/01numpy.md
index 5c725e49d72c7f43ea111716f4a7af60e1192e48..2f99a5d844c7941206714496ed272a180012b619 100644
 a/_episodes/01numpy.md
+++ b/_episodes/01numpy.md
@@ 740,26 +740,7 @@ matplotlib.pyplot.show()
![Heatmap of the Data](../fig/inflammation01imshow.svg)
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 40day period.

> ## 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
> ~~~
> {: .languagepython}
>
> 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:
+can see, inflammation rises and falls over a 40day period. Let's take a look at the average inflammation over time:
~~~
ave_inflammation = numpy.mean(data, axis=0)