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Fix wording and links lifecycle tutorial #24003

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merged 4 commits into from
Sep 26, 2022
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Fix wording and links lifecycle tutorial #24003

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d6ba935
Fix wording and links lifecycle tutorial
oscargus Sep 25, 2022
61208b4
Apply suggestions from code review
oscargus Sep 25, 2022
7bee9ae
Update tutorials/introductory/lifecycle.py
oscargus Sep 26, 2022
748a95c
Update tutorials/introductory/lifecycle.py
oscargus Sep 26, 2022
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10 changes: 5 additions & 5 deletions tutorials/introductory/lifecycle.py
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Expand Up @@ -26,24 +26,24 @@
In the explicit object-oriented (OO) interface we directly utilize instances of
:class:`axes.Axes` to build up the visualization in an instance of
:class:`figure.Figure`. In the implicit interface, inspired by and modeled on
MATLAB, uses an global state-based interface which is encapsulated in the
MATLAB, we use a global state-based interface which is encapsulated in the
:mod:`.pyplot` module to plot to the "current Axes". See the :doc:`pyplot
tutorials </tutorials/introductory/pyplot>` for a more in-depth look at the
pyplot interface.

Most of the terms are straightforward but the main thing to remember
is that:

* The Figure is the final image that may contain 1 or more Axes.
* The Axes represent an individual plot (don't confuse this with the word
"axis", which refers to the x/y axis of a plot).
* The `.Figure` is the final image, and may contain one or more `~.axes.Axes`.
* The `~.axes.Axes` represents an individual plot (not to be confused with
`~.axis.Axis`, which refers to the x/y axis of a plot).

We call methods that do the plotting directly from the Axes, which gives
us much more flexibility and power in customizing our plot.

.. note::

In general prefer the explicit interface over the implicit pyplot interface
In general, use the explicit interface over the implicit pyplot interface
for plotting.

Our data
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