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Commit293eff8

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timhoffmMecanerdrcomer
authored
DOC: Recommend constrained_layout over tight_layout (#29584)
* DOC: Recommend constrained_layout over tight_layoutCloses#17339 by addressing the remaining open issue#17339 (comment).* Update lib/matplotlib/layout_engine.pyCo-authored-by: Mecanerd <joshdonath23@hotmail.com>* Update galleries/users_explain/axes/tight_layout_guide.pyCo-authored-by: Ruth Comer <10599679+rcomer@users.noreply.github.com>---------Co-authored-by: Mecanerd <joshdonath23@hotmail.com>Co-authored-by: Ruth Comer <10599679+rcomer@users.noreply.github.com>
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‎galleries/users_explain/axes/tight_layout_guide.py

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How to use tight-layout to fit plots within your figure cleanly.
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.. tip::
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*tight_layout* was the first layout engine in Matplotlib. The more modern
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and more capable :ref:`Constrained Layout <constrainedlayout_guide>` should
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typically be used instead.
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*tight_layout* automatically adjusts subplot params so that the
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subplot(s) fits in to the figure area. This is an experimental
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feature and may not work for some cases. It only checks the extents
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of ticklabels, axis labels, and titles.
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An alternative to *tight_layout* is :ref:`constrained_layout
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<constrainedlayout_guide>`.
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Simple example
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==============
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‎lib/matplotlib/layout_engine.py

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layout engine while the figure is being created. In particular, colorbars are
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made differently with different layout engines (for historical reasons).
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Matplotlib supplies two layout engines, `.TightLayoutEngine` and
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`.ConstrainedLayoutEngine`. Third parties can create their own layout engine
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by subclassing `.LayoutEngine`.
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Matplotlib has two built-in layout engines:
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- `.TightLayoutEngine` was the first layout engine added to Matplotlib.
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See also :ref:`tight_layout_guide`.
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- `.ConstrainedLayoutEngine` is more modern and generally gives better results.
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See also :ref:`constrainedlayout_guide`.
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Third parties can create their own layout engine by subclassing `.LayoutEngine`.
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"""
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fromcontextlibimportnullcontext

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