You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
161 lines
4.4 KiB
161 lines
4.4 KiB
6 months ago
|
from datetime import datetime
|
||
|
|
||
|
import numpy as np
|
||
|
import pytest
|
||
|
from pytz import UTC
|
||
|
|
||
|
from pandas._libs.tslibs import (
|
||
|
OutOfBoundsTimedelta,
|
||
|
astype_overflowsafe,
|
||
|
conversion,
|
||
|
iNaT,
|
||
|
timezones,
|
||
|
tz_convert_from_utc,
|
||
|
tzconversion,
|
||
|
)
|
||
|
|
||
|
from pandas import (
|
||
|
Timestamp,
|
||
|
date_range,
|
||
|
)
|
||
|
import pandas._testing as tm
|
||
|
|
||
|
|
||
|
def _compare_utc_to_local(tz_didx):
|
||
|
def f(x):
|
||
|
return tzconversion.tz_convert_from_utc_single(x, tz_didx.tz)
|
||
|
|
||
|
result = tz_convert_from_utc(tz_didx.asi8, tz_didx.tz)
|
||
|
expected = np.vectorize(f)(tz_didx.asi8)
|
||
|
|
||
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
||
|
|
||
|
def _compare_local_to_utc(tz_didx, naive_didx):
|
||
|
# Check that tz_localize behaves the same vectorized and pointwise.
|
||
|
err1 = err2 = None
|
||
|
try:
|
||
|
result = tzconversion.tz_localize_to_utc(naive_didx.asi8, tz_didx.tz)
|
||
|
err1 = None
|
||
|
except Exception as err:
|
||
|
err1 = err
|
||
|
|
||
|
try:
|
||
|
expected = naive_didx.map(lambda x: x.tz_localize(tz_didx.tz)).asi8
|
||
|
except Exception as err:
|
||
|
err2 = err
|
||
|
|
||
|
if err1 is not None:
|
||
|
assert type(err1) == type(err2)
|
||
|
else:
|
||
|
assert err2 is None
|
||
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
||
|
|
||
|
def test_tz_localize_to_utc_copies():
|
||
|
# GH#46460
|
||
|
arr = np.arange(5, dtype="i8")
|
||
|
result = tz_convert_from_utc(arr, tz=UTC)
|
||
|
tm.assert_numpy_array_equal(result, arr)
|
||
|
assert not np.shares_memory(arr, result)
|
||
|
|
||
|
result = tz_convert_from_utc(arr, tz=None)
|
||
|
tm.assert_numpy_array_equal(result, arr)
|
||
|
assert not np.shares_memory(arr, result)
|
||
|
|
||
|
|
||
|
def test_tz_convert_single_matches_tz_convert_hourly(tz_aware_fixture):
|
||
|
tz = tz_aware_fixture
|
||
|
tz_didx = date_range("2014-03-01", "2015-01-10", freq="h", tz=tz)
|
||
|
naive_didx = date_range("2014-03-01", "2015-01-10", freq="h")
|
||
|
|
||
|
_compare_utc_to_local(tz_didx)
|
||
|
_compare_local_to_utc(tz_didx, naive_didx)
|
||
|
|
||
|
|
||
|
@pytest.mark.parametrize("freq", ["D", "YE"])
|
||
|
def test_tz_convert_single_matches_tz_convert(tz_aware_fixture, freq):
|
||
|
tz = tz_aware_fixture
|
||
|
tz_didx = date_range("2018-01-01", "2020-01-01", freq=freq, tz=tz)
|
||
|
naive_didx = date_range("2018-01-01", "2020-01-01", freq=freq)
|
||
|
|
||
|
_compare_utc_to_local(tz_didx)
|
||
|
_compare_local_to_utc(tz_didx, naive_didx)
|
||
|
|
||
|
|
||
|
@pytest.mark.parametrize(
|
||
|
"arr",
|
||
|
[
|
||
|
pytest.param(np.array([], dtype=np.int64), id="empty"),
|
||
|
pytest.param(np.array([iNaT], dtype=np.int64), id="all_nat"),
|
||
|
],
|
||
|
)
|
||
|
def test_tz_convert_corner(arr):
|
||
|
result = tz_convert_from_utc(arr, timezones.maybe_get_tz("Asia/Tokyo"))
|
||
|
tm.assert_numpy_array_equal(result, arr)
|
||
|
|
||
|
|
||
|
def test_tz_convert_readonly():
|
||
|
# GH#35530
|
||
|
arr = np.array([0], dtype=np.int64)
|
||
|
arr.setflags(write=False)
|
||
|
result = tz_convert_from_utc(arr, UTC)
|
||
|
tm.assert_numpy_array_equal(result, arr)
|
||
|
|
||
|
|
||
|
@pytest.mark.parametrize("copy", [True, False])
|
||
|
@pytest.mark.parametrize("dtype", ["M8[ns]", "M8[s]"])
|
||
|
def test_length_zero_copy(dtype, copy):
|
||
|
arr = np.array([], dtype=dtype)
|
||
|
result = astype_overflowsafe(arr, copy=copy, dtype=np.dtype("M8[ns]"))
|
||
|
if copy:
|
||
|
assert not np.shares_memory(result, arr)
|
||
|
elif arr.dtype == result.dtype:
|
||
|
assert result is arr
|
||
|
else:
|
||
|
assert not np.shares_memory(result, arr)
|
||
|
|
||
|
|
||
|
def test_ensure_datetime64ns_bigendian():
|
||
|
# GH#29684
|
||
|
arr = np.array([np.datetime64(1, "ms")], dtype=">M8[ms]")
|
||
|
result = astype_overflowsafe(arr, dtype=np.dtype("M8[ns]"))
|
||
|
|
||
|
expected = np.array([np.datetime64(1, "ms")], dtype="M8[ns]")
|
||
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
||
|
|
||
|
def test_ensure_timedelta64ns_overflows():
|
||
|
arr = np.arange(10).astype("m8[Y]") * 100
|
||
|
msg = r"Cannot convert 300 years to timedelta64\[ns\] without overflow"
|
||
|
with pytest.raises(OutOfBoundsTimedelta, match=msg):
|
||
|
astype_overflowsafe(arr, dtype=np.dtype("m8[ns]"))
|
||
|
|
||
|
|
||
|
class SubDatetime(datetime):
|
||
|
pass
|
||
|
|
||
|
|
||
|
@pytest.mark.parametrize(
|
||
|
"dt, expected",
|
||
|
[
|
||
|
pytest.param(
|
||
|
Timestamp("2000-01-01"), Timestamp("2000-01-01", tz=UTC), id="timestamp"
|
||
|
),
|
||
|
pytest.param(
|
||
|
datetime(2000, 1, 1), datetime(2000, 1, 1, tzinfo=UTC), id="datetime"
|
||
|
),
|
||
|
pytest.param(
|
||
|
SubDatetime(2000, 1, 1),
|
||
|
SubDatetime(2000, 1, 1, tzinfo=UTC),
|
||
|
id="subclassed_datetime",
|
||
|
),
|
||
|
],
|
||
|
)
|
||
|
def test_localize_pydatetime_dt_types(dt, expected):
|
||
|
# GH 25851
|
||
|
# ensure that subclassed datetime works with
|
||
|
# localize_pydatetime
|
||
|
result = conversion.localize_pydatetime(dt, UTC)
|
||
|
assert result == expected
|