Comments (7)
And I have made the repo public.
from pandas-stubs.
@Dr-Irv i've split off the technical issues into separate issues for discussion. I see these issues as required before publishing the stubs not making this repo public. To allow public engagement and contributions, what's preventing us making this repo public?
from pandas-stubs.
@Dr-Irv i've split off the technical issues into separate issues for discussion. I see these issues as required before publishing the stubs not making this repo public. To allow public engagement and contributions, what's preventing us making this repo public?
Possibly three things (although I'm willing to be convinced otherwise):
- Some documentation related to how we want this to evolve, standards, testing mechanism, etc.
- Having to manage differences between how this would evolve versus the Microsoft stubs. At some point, they will cut over and take what we have here.
- I also think we should get #3 working before making it public. Then if we get contributions, we know it is getting properly tested.
from pandas-stubs.
- Some documentation related to how we want this to evolve, standards, testing mechanism, etc.
maybe something basic in the first instance to get us up and running
- Having to manage differences between how this would evolve versus the Microsoft stubs. At some point, they will cut over and take what we have here.
maybe need a dedicated issue to discuss the inter-project relationship
- I also think we should get Set up CI as in the MS project to automatically test the stubs #3 working before making it public. Then if we get contributions, we know it is getting properly tested.
that's a fair point, but also happy not to block on this. maybe we should put a timescale on this, say if we have not got something up and running in say 4 weeks, then we should move forward regardless.
from pandas-stubs.
- I also think we should get Set up CI as in the MS project to automatically test the stubs #3 working before making it public. Then if we get contributions, we know it is getting properly tested.
that's a fair point, but also happy not to block on this. maybe we should put a timescale on this, say if we have not got something up and running in say 4 weeks, then we should move forward regardless.
I just need to find some time to do this.....
from pandas-stubs.
- I also think we should get Set up CI as in the MS project to automatically test the stubs #3 working before making it public. Then if we get contributions, we know it is getting properly tested.
that's a fair point, but also happy not to block on this. maybe we should put a timescale on this, say if we have not got something up and running in say 4 weeks, then we should move forward regardless.
I just need to find some time to do this.....
I have CI working now. So we now have an equivalent repo to what is in the MS repo.
from pandas-stubs.
And I have made the repo public.
gr8. let's close this then.
and open separate issues for the tasks mentioned in #1 (comment)
from pandas-stubs.
Related Issues (20)
- pd.to_datetime(list[datetime.date]) is wrong input type (mypy), but pandas returns output. HOT 2
- Pandas concat incorrectly marks subsequent code as unreachable HOT 1
- pandas.DataFrame.from_dict : issue with dtype and columns arguments types HOT 2
- Problem accessing `.loc` with tuple for MultiIndex Series HOT 3
- concat still reports unreachable for Iterable[None|Any] corner case HOT 11
- register_dataframe_accessor causes "Untyped class decorator obscures type of class; ignoring decorator" HOT 2
- Return type of pipe not consistent with types at run time HOT 7
- README.md still suggests to join a gitter room HOT 1
- VSCode questions HOT 6
- Use the new TypeIs feature to update the notna/notnull/isna/isnull type guards
- Passing a callable to DataFrame.mask's 'cond' argument results in arg-type error (mypy) HOT 2
- No overload variant of "apply" of "Styler" matches argument types "Callable[[Series[int], str], list[str]]", "str", "int" HOT 2
- Stack method - Unexpected keyword argument HOT 2
- Allow 'integer' in select_dtypes include argument HOT 1
- Unexpected, Misleading mypy Failures After pandas-stubs Update: DataFrame.from_dict() Behavior HOT 5
- Should from_dict be annotated to allow sequence data values? HOT 8
- Index.rename() should return Self HOT 3
- Annotation of `get_loc` does no longer fit to `iloc` resulting in many false positive type errors. HOT 2
- Can't pass `dict` to `DataFrame.apply` HOT 1
- `Series.map()` needs type for `arg` and result HOT 3
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