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Fix type annotations in pandas.core.indexes.period #26518

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Merged
merged 3 commits into from
May 29, 2019
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Fix type annotations in pandas.core.indexes.period #26518

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92e9769
remove the module from mypy.ini
vaibhavhrt May 25, 2019
b311b66
remove type comment
vaibhavhrt May 25, 2019
3e1a81a
update docstring
vaibhavhrt May 29, 2019
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3 changes: 0 additions & 3 deletions mypy.ini
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Expand Up @@ -7,6 +7,3 @@ ignore_errors=True

[mypy-pandas.core.indexes.datetimelike]
ignore_errors=True

[mypy-pandas.core.indexes.period]
ignore_errors=True
4 changes: 2 additions & 2 deletions pandas/core/indexes/period.py
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Expand Up @@ -80,7 +80,7 @@ class PeriodIndex(DatetimeIndexOpsMixin, Int64Index, PeriodDelegateMixin):

Parameters
----------
data : array-like (1-dimensional), optional
data : array-like (1d integer np.ndarray or PeriodArray), optional
Optional period-like data to construct index with
copy : bool
Make a copy of input ndarray
Expand Down Expand Up @@ -168,7 +168,7 @@ class PeriodIndex(DatetimeIndexOpsMixin, Int64Index, PeriodDelegateMixin):
_is_numeric_dtype = False
_infer_as_myclass = True

_data = None # type: PeriodArray
_data = None
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So what is this getting inferred as now?

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@WillAyd Inferred type is None, which is not correct, but putting the actual type is almost impossible. Because the type of _data in parent/sibling classes (e.g. in class Index, DatetimeIndexOpsMixin, etc.) is different. If we want to properly type this we need to create a type ArrayLike(I guess) in pandas._typing which can contain all possible type for _data then use it everywhere. But I don't know how many of these arraylike types(PeriodArray, DatetimeLikeArray, etc) are there, so someone will have to tell me how to find that, maybe @gfyoung can help with that.
If you want something like this, I would suggest doing that in a separate issue & PR as a lot of files will be changed as _data is in like 100 different files.

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We already have that in the typing module - did that not work?

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Okay, we do have array like in _typing, my bad, didn't saw that.
I think _typing.AnyArrayLike is what we need. Mypy will be happy with whatever type I put for _data, so someone should confirm that AnyArrayLike is the proper type to use for _data, and I will type _data in every class.

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Yea I think that should work here


_engine_type = libindex.PeriodEngine

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