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chore: add "typing :: typed" classifier, remove unused testing function
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@MarcoGorelli
MarcoGorelli committed Jan 28, 2025
1 parent 6a3fc59 commit 50433e7
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1 change: 1 addition & 0 deletions py-polars/pyproject.toml
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Expand Up @@ -29,6 +29,7 @@ classifiers = [
"Programming Language :: Python :: 3.13",
"Programming Language :: Rust",
"Topic :: Scientific/Engineering",
"Typing :: Typed",
]
dynamic = ["version"]

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287 changes: 0 additions & 287 deletions py-polars/tests/unit/operations/namespaces/temporal/test_datetime.py
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Expand Up @@ -650,293 +650,6 @@ def test_epoch_matches_timestamp() -> None:
)


def test_replace_expr_datetime() -> None:
df = pl.DataFrame(
{
"dates": [
datetime(2088, 8, 8, 8, 8, 8, 8),
datetime(2088, 8, 8, 8, 8, 8, 8),
datetime(2088, 8, 8, 8, 8, 8, 8),
datetime(2088, 8, 8, 8, 8, 8, 8),
datetime(2088, 8, 8, 8, 8, 8, 8),
datetime(2088, 8, 8, 8, 8, 8, 8),
datetime(2088, 8, 8, 8, 8, 8, 8),
None,
],
"year": [None, 2, 3, 4, 5, 6, 7, 8],
"month": [1, None, 3, 4, 5, 6, 7, 8],
"day": [1, 2, None, 4, 5, 6, 7, 8],
"hour": [1, 2, 3, None, 5, 6, 7, 8],
"minute": [1, 2, 3, 4, None, 6, 7, 8],
"second": [1, 2, 3, 4, 5, None, 7, 8],
"microsecond": [1, 2, 3, 4, 5, 6, None, 8],
}
)

result = df.select(
pl.col("dates").dt.replace(
year="year",
month="month",
day="day",
hour="hour",
minute="minute",
second="second",
microsecond="microsecond",
)
)

expected = pl.DataFrame(
{
"dates": [
datetime(2088, 1, 1, 1, 1, 1, 1),
datetime(2, 8, 2, 2, 2, 2, 2),
datetime(3, 3, 8, 3, 3, 3, 3),
datetime(4, 4, 4, 8, 4, 4, 4),
datetime(5, 5, 5, 5, 8, 5, 5),
datetime(6, 6, 6, 6, 6, 8, 6),
datetime(7, 7, 7, 7, 7, 7, 8),
None,
]
}
)

assert_frame_equal(result, expected)


def test_replace_expr_date() -> None:
df = pl.DataFrame(
{
"dates": [date(2088, 8, 8), date(2088, 8, 8), date(2088, 8, 8), None],
"year": [None, 2, 3, 4],
"month": [1, None, 3, 4],
"day": [1, 2, None, 4],
}
)

result = df.select(
pl.col("dates").dt.replace(year="year", month="month", day="day")
)

expected = pl.DataFrame(
{"dates": [date(2088, 1, 1), date(2, 8, 2), date(3, 3, 8), None]}
)

assert_frame_equal(result, expected)


def test_replace_int_datetime() -> None:
df = pl.DataFrame(
{
"a": [
datetime(1, 1, 1, 1, 1, 1, 1),
datetime(2, 2, 2, 2, 2, 2, 2),
datetime(3, 3, 3, 3, 3, 3, 3),
None,
]
}
)
result = df.select(
pl.col("a").dt.replace().alias("no_change"),
pl.col("a").dt.replace(year=9).alias("year"),
pl.col("a").dt.replace(month=9).alias("month"),
pl.col("a").dt.replace(day=9).alias("day"),
pl.col("a").dt.replace(hour=9).alias("hour"),
pl.col("a").dt.replace(minute=9).alias("minute"),
pl.col("a").dt.replace(second=9).alias("second"),
pl.col("a").dt.replace(microsecond=9).alias("microsecond"),
)
expected = pl.DataFrame(
{
"no_change": [
datetime(1, 1, 1, 1, 1, 1, 1),
datetime(2, 2, 2, 2, 2, 2, 2),
datetime(3, 3, 3, 3, 3, 3, 3),
None,
],
"year": [
datetime(9, 1, 1, 1, 1, 1, 1),
datetime(9, 2, 2, 2, 2, 2, 2),
datetime(9, 3, 3, 3, 3, 3, 3),
None,
],
"month": [
datetime(1, 9, 1, 1, 1, 1, 1),
datetime(2, 9, 2, 2, 2, 2, 2),
datetime(3, 9, 3, 3, 3, 3, 3),
None,
],
"day": [
datetime(1, 1, 9, 1, 1, 1, 1),
datetime(2, 2, 9, 2, 2, 2, 2),
datetime(3, 3, 9, 3, 3, 3, 3),
None,
],
"hour": [
datetime(1, 1, 1, 9, 1, 1, 1),
datetime(2, 2, 2, 9, 2, 2, 2),
datetime(3, 3, 3, 9, 3, 3, 3),
None,
],
"minute": [
datetime(1, 1, 1, 1, 9, 1, 1),
datetime(2, 2, 2, 2, 9, 2, 2),
datetime(3, 3, 3, 3, 9, 3, 3),
None,
],
"second": [
datetime(1, 1, 1, 1, 1, 9, 1),
datetime(2, 2, 2, 2, 2, 9, 2),
datetime(3, 3, 3, 3, 3, 9, 3),
None,
],
"microsecond": [
datetime(1, 1, 1, 1, 1, 1, 9),
datetime(2, 2, 2, 2, 2, 2, 9),
datetime(3, 3, 3, 3, 3, 3, 9),
None,
],
}
)
assert_frame_equal(result, expected)


def test_replace_int_date() -> None:
df = pl.DataFrame(
{
"a": [
date(1, 1, 1),
date(2, 2, 2),
date(3, 3, 3),
None,
]
}
)
result = df.select(
pl.col("a").dt.replace().alias("no_change"),
pl.col("a").dt.replace(year=9).alias("year"),
pl.col("a").dt.replace(month=9).alias("month"),
pl.col("a").dt.replace(day=9).alias("day"),
)
expected = pl.DataFrame(
{
"no_change": [
date(1, 1, 1),
date(2, 2, 2),
date(3, 3, 3),
None,
],
"year": [
date(9, 1, 1),
date(9, 2, 2),
date(9, 3, 3),
None,
],
"month": [
date(1, 9, 1),
date(2, 9, 2),
date(3, 9, 3),
None,
],
"day": [
date(1, 1, 9),
date(2, 2, 9),
date(3, 3, 9),
None,
],
}
)
assert_frame_equal(result, expected)


def test_replace_ambiguous() -> None:
# Value to be replaced by an ambiguous hour.
value = pl.select(
pl.datetime(2020, 10, 25, 5, time_zone="Europe/London")
).to_series()

input = [2020, 10, 25, 1]
tz = "Europe/London"

# earliest
expected = pl.select(
pl.datetime(*input, time_zone=tz, ambiguous="earliest")
).to_series()
result = value.dt.replace(hour=1, ambiguous="earliest")
assert_series_equal(result, expected)

# latest
expected = pl.select(
pl.datetime(*input, time_zone=tz, ambiguous="latest")
).to_series()
result = value.dt.replace(hour=1, ambiguous="latest")
assert_series_equal(result, expected)

# null
expected = pl.select(
pl.datetime(*input, time_zone=tz, ambiguous="null")
).to_series()
result = value.dt.replace(hour=1, ambiguous="null")
assert_series_equal(result, expected)

# raise
with pytest.raises(
ComputeError,
match=(
"datetime '2020-10-25 01:00:00' is ambiguous in time zone 'Europe/London'. "
"Please use `ambiguous` to tell how it should be localized."
),
):
value.dt.replace(hour=1, ambiguous="raise")


def test_replace_datetime_preserve_ns() -> None:
df = pl.DataFrame(
{
"a": pl.Series(["2020-01-01T00:00:00.123456789"] * 2).cast(
pl.Datetime("ns")
),
"year": [2021, None],
"microsecond": [50, None],
}
)

result = df.select(
year=pl.col("a").dt.replace(year="year"),
us=pl.col("a").dt.replace(microsecond="microsecond"),
)

expected = pl.DataFrame(
{
"year": pl.Series(
[
"2021-01-01T00:00:00.123456789",
"2020-01-01T00:00:00.123456789",
]
).cast(pl.Datetime("ns")),
"us": pl.Series(
[
"2020-01-01T00:00:00.000050",
"2020-01-01T00:00:00.123456789",
]
).cast(pl.Datetime("ns")),
}
)

assert_frame_equal(result, expected)


@pytest.mark.parametrize("tu", ["ms", "us", "ns"])
@pytest.mark.parametrize("tzinfo", [None, "Africa/Nairobi", "America/New_York"])
def test_replace_preserve_tu_and_tz(tu: TimeUnit, tzinfo: str) -> None:
s = pl.Series(
[datetime(2024, 1, 1), datetime(2024, 1, 2)],
dtype=pl.Datetime(time_unit=tu, time_zone=tzinfo),
)
result = s.dt.replace(year=2000)
assert result.dtype.time_unit == tu # type: ignore[attr-defined]
assert result.dtype.time_zone == tzinfo # type: ignore[attr-defined]


@pytest.mark.parametrize(
("tzinfo", "time_zone"),
[(None, None), (ZoneInfo("Asia/Kathmandu"), "Asia/Kathmandu")],
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