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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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ramvikrams Nov 18, 2022
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4 changes: 3 additions & 1 deletion pandas-stubs/core/series.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -1743,6 +1743,8 @@ class TimestampSeries(Series[Timestamp]):
# ignore needed because of mypy
@property
def dt(self) -> TimestampProperties: ... # type: ignore[override]
@overload
def __add__(self, other: Timedelta | np.timedelta64) -> TimedeltaSeries: ...
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result here of adding TimestampSeries plus a timedelta is TimestampSeries

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sir here there is no TimestampSeries

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Look at line 1742


class TimedeltaSeries(Series[Timedelta]):
# ignores needed because of mypy
Expand All @@ -1753,7 +1755,7 @@ class TimedeltaSeries(Series[Timedelta]):
@overload
def __add__(self, other: Timedelta | np.timedelta64) -> TimedeltaSeries: ...
def __radd__(self, pther: Timestamp | TimestampSeries) -> TimestampSeries: ... # type: ignore[override]
def __mul__(self, other: num | np.timedelta64) -> TimedeltaSeries: ... # type: ignore[override]
def __mul__(self, other: num) -> TimedeltaSeries: ... # type: ignore[override]
def __sub__( # type: ignore[override]
self, other: Timedelta | TimedeltaSeries | TimedeltaIndex | np.timedelta64
) -> TimedeltaSeries: ...
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28 changes: 8 additions & 20 deletions tests/test_timefuncs.py
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Expand Up @@ -1042,23 +1042,11 @@ def timedelta64_and_arithmatic_operator() -> None:
s2 = pd.Series(data=pd.date_range("1/1/2021", "2/1/2021"))
s3 = s2 - s1
td = np.timedelta64(1, "M")
check(assert_type((s1 - td), TimestampSeries), np.timedelta64)
check(assert_type((s1 + td), pd.Series[Any]), np.timedelta64)
check(assert_type((s1 * td), TimedeltaSeries), np.timedelta64)
check(assert_type((s1 / td), pd.Series[float]), np.timedelta64)
check(
assert_type((s3 - td), TimedeltaSeries),
pd.Series,
)
check(
assert_type((s3 + td), TimedeltaSeries),
pd.Series,
)
check(
assert_type((s3 * td), TimedeltaSeries),
pd.Series,
)
check(
assert_type((s3 / td), pd.Series[float]),
pd.Series,
)
check(assert_type((s1 - td), TimestampSeries), pd.Series, pd.Timestamp)
check(assert_type((s1 + td), TimestampSeries), pd.Series, pd.Timestamp)
check(assert_type((s1 * td), TimedeltaSeries), pd.Series, pd.Timestamp)
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multipying a TimestampSeries times a Timedelta is not allowed, so have to fix that.

In TimestampSeries, put in a method for __mul__() that takes the two timedelta arguments, and returns Never from typing_extensions

Change the test to assert the type, but do not do the check part.

check(assert_type((s1 / td), TimestampSeries), pd.Series, pd.Timestamp)
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dividing a TimestampSEries by a Timedelta is not allowed, so have to fix that

In TimestampSeries, put in a method for __truediv__() that takes the two timedelta arguments, and returns Never from typing_extensions

Change the test to assert the type, but do not do the check part.

check(assert_type((s3 - td), TimedeltaSeries), pd.Series, pd.Timedelta)
check(assert_type((s3 + td), TimedeltaSeries), pd.Series, pd.Timedelta)
check(assert_type((s3 * td), TimedeltaSeries), pd.Series, pd.Timedelta)
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multiplying a TimedeltaSeries by a timedelta fails, so have to fix that

In TimedeltaSeries, put in a method for __mul__() that takes the two timedelta arguments, and returns Never from typing_extensions

Change the test to assert the type, but do not do the check part.

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@ramvikrams ramvikrams Nov 21, 2022 •
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Sir in TimedeltaSeries should a __trudiv__() be added because it is showing errors

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and sir __mul__() it is still showing errors after adding it.

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Sir in TimedeltaSeries should a __trudiv__() be added because it is showing errors

Yes, you should add that. It is valid to divide TimedeltaSeries by Timedelta or np.timedelta64 to get a Series[float], and to divde by a float to get TimedeltaSeries

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and sir __mul__() it is still showing errors after adding it.

Your job to fix them!

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Sir just not able to fix this error: Name "__mul__" already defined on line 1761 [no-redef] could not find about it over internet also

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You probably have __mul__() defined in there twice, with different arguments. You need to put a @overload before each def __mul__() statement

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Sir still mypy hows the same error

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Without seeing your code, I can't see what you are doing wrong. You can push and it will fail and I will tell you what you did wrong.

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yes sir

check(assert_type((s3 / td), TimedeltaSeries), pd.Series, np.float)