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added np.timedelta64 for series arithmatic methods #432

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Merged
merged 21 commits into from
Nov 23, 2022
Merged

added np.timedelta64 for series arithmatic methods #432

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14 changes: 9 additions & 5 deletions pandas-stubs/core/series.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -1211,7 +1211,7 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
def __add__(self, other: Timestamp) -> TimestampSeries: ...
@overload
def __add__(
self, other: num | _str | Timedelta | _ListLike | Series[S1]
self, other: num | _str | Timedelta | _ListLike | Series[S1] | np.timedelta64
) -> Series: ...
# ignore needed for mypy as we want different results based on the arguments
@overload
Expand Down Expand Up @@ -1243,7 +1243,9 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
def __le__(self, other: S1 | _ListLike | Series[S1]) -> Series[_bool]: ...
def __lt__(self, other: S1 | _ListLike | Series[S1]) -> Series[_bool]: ...
@overload
def __mul__(self, other: Timedelta | TimedeltaSeries) -> TimedeltaSeries: ...
def __mul__(
self, other: Timedelta | TimedeltaSeries | np.timedelta64
) -> TimedeltaSeries: ...
@overload
def __mul__(self, other: num | _ListLike | Series) -> Series: ...
def __mod__(self, other: num | _ListLike | Series[S1]) -> Series[S1]: ...
Expand Down Expand Up @@ -1304,17 +1306,19 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
) -> TimedeltaSeries: ...
@overload
def __sub__(
self: Series[Timestamp], other: Timedelta | TimedeltaSeries | TimedeltaIndex
self: Series[Timestamp],
other: Timedelta | TimedeltaSeries | TimedeltaIndex | np.timedelta64,
) -> TimestampSeries: ...
@overload
def __sub__(
self: Series[Timedelta], other: Timedelta | TimedeltaSeries | TimedeltaIndex
self: Series[Timedelta],
other: Timedelta | TimedeltaSeries | TimedeltaIndex | np.timedelta64,
) -> TimedeltaSeries: ...
@overload
def __sub__(self, other: num | _ListLike | Series) -> Series: ...
@overload
def __truediv__(
self, other: Timedelta | TimedeltaSeries | TimedeltaIndex
self, other: Timedelta | TimedeltaSeries | TimedeltaIndex | np.timedelta64
) -> Series[float]: ...
@overload
def __truediv__(self, other: num | _ListLike | Series[S1]) -> Series: ...
Expand Down
25 changes: 25 additions & 0 deletions tests/test_timefuncs.py
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Expand Up @@ -1035,3 +1035,28 @@ def test_timedelta_range() -> None:
def test_dateoffset_freqstr() -> None:
offset = DateOffset(minutes=10)
check(assert_type(offset.freqstr, str), str)


def timedelta64_and_arithmatic_operator() -> None:
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the name of any test function must begin with test_. If you make that change, you will see that the tests will fail. They were never getting tested.

You will have to change the tests as well. See example.

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Sir even after adding the test_ the poe mypy test doesn't fail on my system

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Do poe test to run all tests or poe pytest to just run pytest which is where the failures will occur

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yes sir there were errors, I'll fix it then

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"))
check(assert_type((s1 - np.timedelta64(1, "M")), np.timedelta64), np.timedelta64)
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Just create a variable td = np.timedelta64(1, "M") and reuse it

check(assert_type((s1 + np.timedelta64(1, "M")), np.timedelta64), np.timedelta64)
check(assert_type(((s1 * np.timedelta64(1, "M")), np.timedelta64), np.timedelta64))
check(assert_type(((s1 / np.timedelta64(1, "M")), np.timedelta64), np.timedelta64))
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The results here are wrong, because s1 is a TimeStampSeries, so adding and subtracting a np.timedelta64 will produce the same. Have to try each one out locally and see what the right type is.

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Sir it's worling fine with addition,substraction only problem is with multiplication,division any suggestions for that

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Sir it's worling fine with addition,substraction only problem is with multiplication,division any suggestions for that

Doesn't seem that it is working. Look at the log files from the CI runs (or run locally) and you can then see the error messages and fix the code.

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Yes sir

check(
assert_type(((s1 - s2) - np.timedelta64(1, "M")), np.timedelta64),
np.timedelta64,
)
check(
assert_type(((s1 + s2) / np.timedelta64(1, "M")), np.timedelta64),
np.timedelta64,
)
check(
assert_type(((s1 * s2) / np.timedelta64(1, "M")), np.timedelta64),
np.timedelta64,
)
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for above 2 checks, add pd.Timedelta to the last argument of check

check(
assert_type(((s1 / s2) / np.timedelta64(1, "M")), np.timedelta64),
np.timedelta64,
)
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add float to last argument of check . (Might need to be np.float)