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@0taj 0taj commented Oct 21, 2023

PR summary

Smoke test for Axes.step using datetime data in lib/matplotlib/tests/test_datetime.py. This PR addresses one of the tasks listed in #26864

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test_step

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@ksunden ksunden left a comment

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Could be simplified a bit, but it is largely fine:

  • Use np.arange instead of np.array(range(...))
  • Could even use np.arange for the dates e.g.:
np.arange(start_date, start_date+datetime.timedelta(weeks=1), datetime.timedelta(days=1))

Does work

Also the last axes using the data arg I don't think really needs to be tested here, its not wrong, but it is testing a broader functionality that is largely orthogonal.

@scottshambaugh
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Hi @0taj thank you for your contribution! Unfortunately it looks like #27091 also implemented this test and was opened as a PR first, so I'm closing this one as a duplicate. However I would encourage you to pick out another of the functions from the list in #26864 and take a shot at it!

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3 participants