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Merge pull request #24686 from rcomer/backport-24003-doc
Backport PR #24003 on branch v3.6.2-doc: Fix wording and links lifecycle tutorial
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tutorials/introductory/lifecycle.py

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In the explicit object-oriented (OO) interface we directly utilize instances of
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:class:`axes.Axes` to build up the visualization in an instance of
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:class:`figure.Figure`. In the implicit interface, inspired by and modeled on
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MATLAB, uses an global state-based interface which is is encapsulated in the
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MATLAB, we use a global state-based interface which is encapsulated in the
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:mod:`.pyplot` module to plot to the "current Axes". See the :doc:`pyplot
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tutorials </tutorials/introductory/pyplot>` for a more in-depth look at the
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pyplot interface.
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Most of the terms are straightforward but the main thing to remember
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is that:
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* The Figure is the final image that may contain 1 or more Axes.
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* The Axes represent an individual plot (don't confuse this with the word
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"axis", which refers to the x/y axis of a plot).
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* The `.Figure` is the final image, and may contain one or more `~.axes.Axes`.
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* The `~.axes.Axes` represents an individual plot (not to be confused with
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`~.axis.Axis`, which refers to the x/y axis of a plot).
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We call methods that do the plotting directly from the Axes, which gives
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us much more flexibility and power in customizing our plot.
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.. note::
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In general prefer the explicit interface over the implicit pyplot interface
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In general, use the explicit interface over the implicit pyplot interface
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for plotting.
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