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Adding test for axes.streamplot using datetime#27489

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jhimanish wants to merge 1 commit intomatplotlib:mainfrom
jhimanish:test/streamplot
Open

Adding test for axes.streamplot using datetime#27489
jhimanish wants to merge 1 commit intomatplotlib:mainfrom
jhimanish:test/streamplot

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@jhimanish jhimanish commented Dec 10, 2023

PR summary

I've created a test for Axes.streamplot in test_datetime.py as requested in #26864
I tried using the normal datetime.datetime data type and passing that into np.meshgrid. However, it looks like np.meshgrid doesn't accept the datetime type and only accepts numerical arrays. I tried doing some research and looking into np.meshgrid further but could not find any way to pass in an array of datetime values. Therefore, I had to convert the datetime values into numerical values using date2num. This allows it to be passed into np.meshgrid to create the X and Y arrays which are then passed into the streamplot function.

Note: I am new to working with matplotlib and also new to open-source contributions so I would really appreciate your support and advice on this PR.

The outputted graph is as follows:
image

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Thank you for finding this.

It is actually the the goal of doing this exercise to find the places where we think we should support unitful behavior but do not.

I have opened #27500 to track the underlying problem.

I will block merging this until the underlying problems are addressed.

@melissawm melissawm moved this to Needs decision in First Time Contributors Mar 6, 2026
@melissawm melissawm added the status: autoclose candidate PRs that are not yet ready for review and may be automatically closed in two weeks label Mar 26, 2026
@melissawm melissawm moved this from Needs decision to Waiting for author in First Time Contributors Mar 26, 2026
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⏰ This pull request might be automatically closed in two weeks from now.

Thank you for your contribution to Matplotlib and for the effort you have put into this PR. This pull request does not yet meet the quality and clarity standards needed for an effective review. Project maintainers have limited time for code reviews, and our goal is to prioritize well-prepared contributions to keep Matplotlib maintainable.

Matplotlib maintainers cannot provide one-to-one guidance on this PR. However, if you ask focused, well-researched questions, a community member may be willing to help. 💬

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As the author, you are responsible for driving this PR, which entails doing necessary background research as well as presenting its context and your thought process. If you are a new contributor, or do not know how to fulfill these requirements, we recommend that you familiarize yourself with Matplotlib's development conventions or engage with the community via our Discourse or one of our meetings before submitting code.

If you substantially improve this PR within two weeks, leave a comment and a team member may remove the status: autoclose candidate label and the PR stays open. Cosmetic changes or incomplete fixes will not be sufficient. Maintainers will assess improvements on their own schedule. Please do not ping (@) maintainers.

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