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make sub of timedelta work #759

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Merged
merged 6 commits into from
Aug 2, 2023
Merged

make sub of timedelta work #759

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6658660
make sub of timedelta work
Dr-Irv Aug 2, 2023
5a724bf
fix issues due to pyright 1.1.320
Dr-Irv Aug 2, 2023
375fe82
fix for older python with list subscript
Dr-Irv Aug 2, 2023
7595c36
change order of test so ruff does not remove import from typeshed
Dr-Irv Aug 2, 2023
53e2213
get ruff to ignore a line
Dr-Irv Aug 2, 2023
5310eb6
add comments about why testing is special for mypy vs pyright
Dr-Irv Aug 2, 2023
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10 changes: 10 additions & 0 deletions pandas-stubs/core/series.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -1533,6 +1533,16 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
@overload
def __rxor__(self, other: int | np_ndarray_anyint | Series[int]) -> Series[int]: ... # type: ignore[misc]
@overload
def __sub__(
self: Series[Timestamp],
other: Timedelta | TimedeltaSeries | TimedeltaIndex | np.timedelta64,
) -> TimestampSeries: ...
@overload
def __sub__(
self: Series[Timedelta],
other: Timedelta | TimedeltaSeries | TimedeltaIndex | np.timedelta64,
) -> TimedeltaSeries: ...
@overload
def __sub__(
self, other: Timestamp | datetime | TimestampSeries
) -> TimedeltaSeries: ...
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9 changes: 8 additions & 1 deletion tests/test_timefuncs.py
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Expand Up @@ -1130,7 +1130,14 @@ def test_timedelta64_and_arithmatic_operator() -> None:
s1 = pd.Series(data=pd.date_range("1/1/2020", "2/1/2020"))
s2 = pd.Series(data=pd.date_range("1/1/2021", "2/1/2021"))
s3 = s2 - s1
# https://github.com/pandas-dev/pandas/issues/54059 needs to be fixed
check(assert_type(s3, "TimedeltaSeries"), pd.Series, pd.Timedelta)
td1 = pd.Timedelta(1, "D")
check(assert_type(s2 - td1, "TimestampSeries"), pd.Series, pd.Timestamp)
# GH 758
s4 = s1.astype(object)
check(assert_type(s4 - td1, "TimestampSeries"), pd.Series, pd.Timestamp)

# https://github.com/pandas-dev/pandas/issues/54059 says this is invalid
if PD_LTE_20:
td = np.timedelta64(1, "M")
check(assert_type((s1 - td), "TimestampSeries"), pd.Series, pd.Timestamp)
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