diff --git a/tutorials/introductory/lifecycle.py b/tutorials/introductory/lifecycle.py index 59cb55831fe1..da976a39de3e 100644 --- a/tutorials/introductory/lifecycle.py +++ b/tutorials/introductory/lifecycle.py @@ -26,7 +26,7 @@ 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 ` for a more in-depth look at the pyplot interface. @@ -34,16 +34,16 @@ 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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