Add test_vlines to test_datetime.py #27410
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| ymax=[np.datetime64('2023-05-01'), np.datetime64('2023-05-16')]) | ||
| ax3.set_xlim(left=datetime.datetime(2023, 7, 1), | ||
| right=datetime.datetime(2023, 12, 31)) | ||
| ax3.vlines(x=[datetime.datetime(2023, 9, 1), datetime.datetime(2023, 12, 10)], |
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Any reason not to re-use dates on this one?
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I wanted to make each graph look fairly different from one other, so I tried to pick different dates and x/y limits. Initially, the dates array was too long to fit on one line which is why I made it a separate variable. If you'd prefer I re-use it, I can make the change but would have to modify the x limit as well because the values in dates fall outside of the current range for ax3. Let me know what you think
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Alternatively, I could get rid of dates altogether and move the array directly into ax1.vlines() but keep each element on a different line like it is right now
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Yea, I think it'd be clearer to not have dates if it's not being reused in other places with dates.
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Got it. Just fixed it
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Thanks @madisonwong210! Congratulations on your first PR to Matplotlib 🎉 We hope to hear from you again. |
PR summary
I have added a datetime smoke test for
Axes.vlinesinlib/matplotlib/tests/test_datetime.py. It includes a combination of dates and floats for the axes as well as scalars and arrays for ymin and ymax.This addresses the
Axes.vlinestask from #26864.Here is an image of the plots:
PR checklist