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12 | 12 |
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13 | 13 | First, let's start IPython. It is a most excellent enhancement to the |
14 | 14 | standard Python prompt, and it ties in especially well with |
15 | | -Matplotlib. Start IPython either at a shell, or the IPython Notebook now. |
| 15 | +Matplotlib. Start IPython either directly at a shell, or with the Jupyter |
| 16 | +Notebook (where IPython as a running kernel). |
16 | 17 |
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17 | 18 | With IPython started, we now need to connect to a GUI event loop. This |
18 | 19 | tells IPython where (and how) to display plots. To connect to a GUI |
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21 | 22 | event loops |
22 | 23 | <https://ipython.readthedocs.io/en/stable/interactive/reference.html#gui-event-loop-support>`_. |
23 | 24 |
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24 | | -If you're using IPython Notebook, the same commands are available, but |
| 25 | +If you're using Jupyter Notebook, the same commands are available, but |
25 | 26 | people commonly use a specific argument to the %matplotlib magic: |
26 | 27 |
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27 | 28 | .. sourcecode:: ipython |
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157 | 158 | # |
158 | 159 | # .. note:: |
159 | 160 | # |
160 | | -# However, remember that in the IPython notebook with the inline backend, |
| 161 | +# However, remember that in the Jupyter notebook with the inline backend, |
161 | 162 | # you can't make changes to plots that have already been rendered. If you |
162 | 163 | # create imgplot here in one cell, you cannot call set_cmap() on it in a later |
163 | 164 | # cell and expect the earlier plot to change. Make sure that you enter these |
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208 | 209 | # imshow. You could also do this by calling the |
209 | 210 | # :meth:`~matplotlib.image.Image.set_clim` method of the image plot |
210 | 211 | # object, but make sure that you do so in the same cell as your plot |
211 | | -# command when working with the IPython Notebook - it will not change |
| 212 | +# command when working with the Jupyter Notebook - it will not change |
212 | 213 | # plots from earlier cells. |
213 | 214 | # |
214 | 215 | # You can specify the clim in the call to ``plot``. |
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