10000 Update IPython's doc link in Image tutorial by bingyao · Pull Request #14666 · matplotlib/matplotlib · GitHub
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Update IPython's doc link in Image tutorial #14666

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Jul 2, 2019
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Update IPython's doc link in Image tutorial #14666

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Update IPython's doc link in Image tutorial
bingyao Jul 1, 2019
5f8643c
Update old refs from IPython Notebook to Jupyter Notebook.
bingyao Jul 2, 2019
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11 changes: 6 additions & 5 deletions tutorials/introductory/images.py
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Expand Up @@ -12,16 +12,17 @@

First, let's start IPython. It is a most excellent enhancement to the
standard Python prompt, and it ties in especially well with
Matplotlib. Start IPython either at a shell, or the IPython Notebook now.
Matplotlib. Start IPython either directly at a shell, or with the Jupyter
Notebook (where IPython as a running kernel).

With IPython started, we now need to connect to a GUI event loop. This
tells IPython where (and how) to display plots. To connect to a GUI
loop, execute the **%matplotlib** magic at your IPython prompt. There's more
detail on exactly what this does at `IPython's documentation on GUI
event loops
<http://ipython.org/ipython-doc/2/interactive/reference.html#gui-event-loop-support>`_.
<https://ipython.readthedocs.io/en/stable/interactive/reference.html#gui-event-loop-support>`_.

If you're using IPython Notebook, the same commands are available, but
If you're using Jupyter Notebook, the same commands are available, but
people commonly use a specific argument to the %matplotlib magic:

.. sourcecode:: ipython
Expand Down Expand Up @@ -157,7 +158,7 @@
#
# .. note::
#
# However, remember that in the IPython notebook with the inline backend,
# However, remember that in the Jupyter Notebook with the inline backend,
# you can't make changes to plots that have already been rendered. If you
# create imgplot here in one cell, you cannot call set_cmap() on it in a later
# cell and expect the earlier plot to change. Make sure that you enter these
Expand Down Expand Up @@ -208,7 +209,7 @@
# imshow. You could also do this by calling the
# :meth:`~matplotlib.image.Image.set_clim` method of the image plot
# object, but make sure that you do so in the same cell as your plot
# command when working with the IPython Notebook - it will not change
# command when working with the Jupyter Notebook - it will not change
# plots from earlier cells.
#
# You can specify the clim in the call to ``plot``.
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