Copy-edit the transform tutorial.

anntzer · anntzer · commit 017bc89dc702 · 2026-02-16T23:06:09.000+01:00
diff --git a/galleries/users_explain/artists/transforms_tutorial.py b/galleries/users_explain/artists/transforms_tutorial.py
@@ -563,19 +563,18 @@
 # you call ``ax.set_xscale('log')``, the xaxis updates its scale to a
 # :class:`matplotlib.scale.LogScale` instance.
 #
-# For non-separable axes the PolarAxes, there is one more piece to
-# consider, the projection transformation.  The ``transData``
-# :class:`matplotlib.projections.polar.PolarAxes` is similar to that for
-# the typical separable matplotlib Axes, with one additional piece
-# ``transProjection``::
+# For non-separable axes, there are some more pieces to consider, in
+# particular the projection transformation.  For example, the ``transData`` of
+# `matplotlib.projections.polar.PolarAxes` includes some additional pieces over
+# that of a typical separable Axes::
 #
 #        self.transData = (
 #            self.transScale + self.transShift + self.transProjection +
 #            (self.transProjectionAffine + self.transWedge + self.transAxes))
 #
-# ``transProjection`` handles the projection from the space,
-# e.g., latitude and longitude for map data, or radius and theta for polar
-# data, to a separable Cartesian coordinate system.  There are several
+# ``transProjection`` handles the projection from data coordinates
+# (e.g., latitude and longitude for map data, or radius and theta for polar
+# data), to a separable Cartesian coordinate system.  There are several
 # projection examples in the :mod:`matplotlib.projections` package, and the
 # best way to learn more is to open the source for those packages and
 # see how to make your own, since Matplotlib supports extensible axes
