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Add tutorial about autoscaling #18840

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Merged
merged 10 commits into from
Dec 3, 2020

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deep-jkl
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PR Summary

I hope I have covered basic usage of autoscaling. Maybe there is a need to go more into details, but I suggest to do it in another tutorial, along with suggestions from #18401

Closes #17417

PR Checklist

  • [N/A] Has pytest style unit tests (and pytest passes).
  • Is Flake 8 compliant (run flake8 on changed files to check).
  • [N/A] New features are documented, with examples if plot related.
  • Documentation is sphinx and numpydoc compliant (the docs should build without error).
  • Conforms to Matplotlib style conventions (install flake8-docstrings and run flake8 --docstring-convention=all).
  • [N/A] New features have an entry in doc/users/next_whats_new/ (follow instructions in README.rst there).
  • [N/A] API changes documented in doc/api/next_api_changes/ (follow instructions in README.rst there).

@deep-jkl
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Hi @QuLogic, is it possible to add hacktoberfest-accepted label, so that this PR counts towards the event?

@deep-jkl deep-jkl force-pushed the tutorial-autoscaling-basic branch 2 times, most recently from 7539d20 to 138fd55 Compare October 31, 2020 15:56
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Nice job. I think this is useful, and I learned some things (even if I will never use them because I am pretty comfortable setting axes manually). Suggest more concision...

@deep-jkl deep-jkl force-pushed the tutorial-autoscaling-basic branch from cbe7043 to e798987 Compare November 16, 2020 20:26
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Thank you for review, I hope this type of "change suggestions" is easier to process, just give me thumps up/down and I will add selected changes to the PR, squash it reasonably and prepare for another round of revisions (if needed).

###############################################################################
# Margins
# -------
# The default margin around the data limits is 5%:
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Suggested change
# The default margin around the data limits is 5%:
# The margin setting can be read out, its default value is 5%:

@deep-jkl deep-jkl force-pushed the tutorial-autoscaling-basic branch from 50c7f6d to d01a2a9 Compare November 22, 2020 09:41
@deep-jkl deep-jkl force-pushed the tutorial-autoscaling-basic branch from 4951d9b to d662a23 Compare November 23, 2020 18:43
Jakub Klus and others added 6 commits November 23, 2020 20:13
Many thanks to @jklymak. I accept the suggestions as they are,
but I sense that there will be need for some code fixups.

Co-authored-by: Jody Klymak <[email protected]>
Will be revised.

Co-authored-by: Jody Klymak <[email protected]>
@deep-jkl deep-jkl force-pushed the tutorial-autoscaling-basic branch from d662a23 to 1308b8d Compare November 23, 2020 19:13
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deep-jkl commented Dec 3, 2020

bump

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I'm going to go ahead and merge as an improvement. If anyone has further refinements, we can open a new PR.

Thanks a lot @deep-jkl !

@jklymak jklymak added this to the v3.4.0 milestone Dec 3, 2020
@jklymak jklymak merged commit d1dad03 into matplotlib:master Dec 3, 2020
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Awesome, thank you @deep-jkl

@deep-jkl deep-jkl deleted the tutorial-autoscaling-basic branch April 13, 2022 18:31
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tutorial on how autoscaling works
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