xref #11960

Create libpandas to support current user-facing API and container API (currently only numpy). - ImmutableArray, single immutable dtyped container with a pandas.DataType dtype mirroring numpy/python scalars as well as current pandas extension types (Categorical, datetime w/tz), integer/boolean NA support, future types (string w/encoding, var-len), maybe ragged array etc. - cached-properties: - isnull/notnull - is_monotonic_increasing/is_monotonic_decreasing - methods: - indexing getitem ops (positional, slicing, fancy) - Array - mutable sub-class of ImmutableArray - cached-properties above are now just properties - indexing supports setitem as well - Table - ordered-dict-like container of Array

Comment From: jreback

cc @wesm

Comment From: nickeubank

@jreback @wesm I see this is xref'd to the copy on write PRs, but I'm not quite clear on how they relate -will this include copy-on-write behavior instead of the SettingOnACopy error?

Also, will it obviate anything added through #11500 / should I stop working on that?

Comment From: shoyer

@nickeubank This is a proposed major refactor of pandas internals, which would indeed remove the need for #11500. Probably best to take a break on that for now, though I suppose it depends on how close you are -- this refactor will take quite some time :).

Comment From: nickeubank

@shoyer OK, thanks for heads up. I'm not quite clear on how far I am... I think all the core components are in place but I am still figuring out how many edge-case problems are lurking in the tests that still fail.

Any chance you could re-open #11500? I may play with it a little more, but won't spend much time on it and will probably close if doesn't look like I'm really close. Just happy will make it into next version! :)

Comment From: shoyer

You should have permissions to reopen #11500 yourself. If not, we can take care of that for you.

On Wed, Jan 13, 2016 at 11:52 AM, Nick Eubank notifications@github.com wrote:

@shoyer https://github.com/shoyer OK, thanks for heads up. I'm not quite clear on how far I am... I think all the core components are in place but I am still figuring out how many edge-case problems are lurking in the tests that still fail.

Any chance you could re-open #11500 https://github.com/pydata/pandas/pull/11500? I may play with it a little more, but won't spend much time on it and will probably close if doesn't look like I'm really close. Just happy will make it into next version! :)

— Reply to this email directly or view it on GitHub https://github.com/pydata/pandas/issues/11970#issuecomment-171413657.

Comment From: nickeubank

can't seem to find -- used to be button at bottom, right? not there now, and pushes don't propagate, even after rebasing.

Comment From: jreback

a lot of this is already happening in various forms, closing.