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timhoffm merged 1 commit into from
Feb 17, 2026
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Copy-edit the transform tutorial. #31167

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25 changes: 12 additions & 13 deletions galleries/users_explain/artists/transforms_tutorial.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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``::
#
# 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
# 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` is more complex than 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 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
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