DEPR: deprecate Index.is_interval by ShisuiUzumaki · Pull Request #50196 · pandas-dev/pandas (original) (raw)

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ShisuiUzumaki

@ShisuiUzumaki

@topper-123

Looks good. The failure looks unrelated, but the ARM tests should be run again just in case.

Like @phofl said in #50178, it may be a while before we merge. I can keep an eye on this getting in in due time, if you want to focus on other things.

datapythonista

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lgtm, thanks @ShisuiUzumaki

@phofl I see there are just few deprecations in #30228 pending enforcement. Are we still waiting for them to merge PRs with new deprecations?

@ShisuiUzumaki You'll have to merge main and fix the conflicts in what's new before we can merge.

@phofl

cc @jbrockmendel I think we talked about this as well. Haven't followed the deprecations that closely, do you think we can merge new ones?

@jbrockmendel

Ideally I'd like to get #49560 and #49715 in before adding new deprecations, but not a huge deal. Other than that I'm fine with it as long as @mroeschke is.

@mroeschke

Yeah ideally I would like to get all the old 1.x deprecations out before adding new ones, but that might not be realistic to block given wanting to release 2.0 next month or so.

I would be fine with merging new ones soon as long as we start a new deprecation tracker for 3.0 issue documenting these new ones

@ShisuiUzumaki

@ShisuiUzumaki

lgtm, thanks @ShisuiUzumaki

@phofl I see there are just few deprecations in #30228 pending enforcement. Are we still waiting for them to merge PRs with new deprecations?

@ShisuiUzumaki You'll have to merge main and fix the conflicts in what's new before we can merge.

Which branch do I have to merge main into? Are you referring to ShisuiUzumaki:index_dtype_api_deprecation? But the merge seems to create a lot of errors, I mean that many checks are falling on the GitHub side

This was referenced

Jan 5, 2023

@datapythonista

I would be fine with merging new ones soon as long as we start a new deprecation tracker for 3.0 issue documenting these new ones

I created #50578 to track new deprecations. I also created #50579 to keep track of deprecations pending enforcement. What it makes sense to me is to have a detailed look at the code base, see what else is pending enforcement, update #50579, and when we're confident we've got everything pending enforcement under control, then we can start merging PRs with new deprecations. @mroeschke @phofl @jbrockmendel is this more or less what you have in mind to hold merging new deprecations before the rest are enforced? To make it easier to verify we don't forget any?

@phofl

Needs a rebase, good to merge afterwards

@ShisuiUzumaki

@ShisuiUzumaki

@topper-123

@ShisuiUzumaki

Ping. Can you rebase.

On it!

@ShisuiUzumaki

@ShisuiUzumaki

Ping. Can you rebase.

Could you have a look? Also, I should mention that there were some conflicts in the .pre-commit-config.yaml file.

@ShisuiUzumaki

@topper-123

YEah, you need to fix the ‘. pre-commit-config.yaml ‘, else looks good and ready to merge.

@ShisuiUzumaki

YEah, you need to fix the ‘. pre-commit-config.yaml ‘, else looks good and ready to merge.

I think it is done

@topper-123

There is still a change in '.pre-commit-config.yaml' in this PR?

@ShisuiUzumaki

There is still a change in '.pre-commit-config.yaml' in this PR?

You mean from the main branch?

@topper-123

@ShisuiUzumaki

@ShisuiUzumaki

@ShisuiUzumaki

topper-123

@topper-123

pooja-subramaniam pushed a commit to pooja-subramaniam/pandas that referenced this pull request

Jan 25, 2023

@ShisuiUzumaki @pooja-subramaniam

Labels

Deprecate

Functionality to remove in pandas

Index

Related to the Index class or subclasses