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2323Matplotlib has two interfaces. For an explanation of the trade-offs between the
24- implicit and explicit interfaces see :ref:`api_interfaces`.
24+ explicit and implicit interfaces see :ref:`api_interfaces`.
2525
26- The first is an explicit object-oriented (OO) interface. In this case, we
27- utilize an instance of :class:`axes.Axes` in order to render visualizations on
28- an instance of :class:`figure.Figure`. The second is based on MATLAB and uses
29- an implicit global state-based interface. This is encapsulated in the
30- :mod:`.pyplot` module. See the :doc:`pyplot tutorials
31- </tutorials/introductory/pyplot>` for a more in-depth look at the pyplot
32- interface.
26+ In the explicit object-oriented (OO) interface we directly utilize instances of
27+ :class:`axes.Axes` to build up the visualization in an instance of
28+ :class:`figure.Figure`. In the implicit interface, inspired by and modeled on
29+ MATLAB, uses an global state-based interface which is is encapsulated in the
30+ :mod:`.pyplot` module to plot to the "current Axes". See the :doc:`pyplot
31+ tutorials </tutorials/introductory/pyplot>` for a more in-depth look at the
32+ pyplot interface.
3333
3434Most of the terms are straightforward but the main thing to remember
3535is that:
4343
4444.. note::
4545
46- In general, try to use the explicit interface over the implicit pyplot
47- interface for plotting.
46+ In general prefer the explicit interface over the implicit pyplot interface
47+ for plotting.
4848
4949Our data
5050========
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