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test_to_datetime.py
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""" test to_datetime """
import calendar
from collections import deque
from datetime import (
date,
datetime,
timedelta,
timezone,
)
from decimal import Decimal
import locale
from dateutil.parser import parse
from dateutil.tz.tz import tzoffset
import numpy as np
import pytest
import pytz
from pandas._libs import tslib
from pandas._libs.tslibs import (
iNaT,
parsing,
)
from pandas._libs.tslibs.dtypes import NpyDatetimeUnit
from pandas.errors import (
OutOfBoundsDatetime,
OutOfBoundsTimedelta,
)
import pandas.util._test_decorators as td
from pandas.core.dtypes.common import is_datetime64_ns_dtype
import pandas as pd
from pandas import (
DataFrame,
DatetimeIndex,
Index,
NaT,
Series,
Timestamp,
date_range,
isna,
to_datetime,
)
import pandas._testing as tm
from pandas.core.arrays import DatetimeArray
from pandas.core.tools import datetimes as tools
from pandas.core.tools.datetimes import start_caching_at
from pandas.util.version import Version
@pytest.fixture(params=[True, False])
def cache(request):
"""
cache keyword to pass to to_datetime.
"""
return request.param
class TestTimeConversionFormats:
@pytest.mark.parametrize("readonly", [True, False])
def test_to_datetime_readonly(self, readonly):
# GH#34857
arr = np.array([], dtype=object)
if readonly:
arr.setflags(write=False)
result = to_datetime(arr)
expected = to_datetime([])
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize(
"format, expected",
[
[
"%d/%m/%Y",
[Timestamp("20000101"), Timestamp("20000201"), Timestamp("20000301")],
],
[
"%m/%d/%Y",
[Timestamp("20000101"), Timestamp("20000102"), Timestamp("20000103")],
],
],
)
def test_to_datetime_format(self, cache, index_or_series, format, expected):
values = index_or_series(["1/1/2000", "1/2/2000", "1/3/2000"])
result = to_datetime(values, format=format, cache=cache)
expected = index_or_series(expected)
if isinstance(expected, Series):
tm.assert_series_equal(result, expected)
else:
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize(
"arg, expected, format",
[
["1/1/2000", "20000101", "%d/%m/%Y"],
["1/1/2000", "20000101", "%m/%d/%Y"],
["1/2/2000", "20000201", "%d/%m/%Y"],
["1/2/2000", "20000102", "%m/%d/%Y"],
["1/3/2000", "20000301", "%d/%m/%Y"],
["1/3/2000", "20000103", "%m/%d/%Y"],
],
)
def test_to_datetime_format_scalar(self, cache, arg, expected, format):
result = to_datetime(arg, format=format, cache=cache)
expected = Timestamp(expected)
assert result == expected
def test_to_datetime_format_YYYYMMDD(self, cache):
ser = Series([19801222, 19801222] + [19810105] * 5)
expected = Series([Timestamp(x) for x in ser.apply(str)])
result = to_datetime(ser, format="%Y%m%d", cache=cache)
tm.assert_series_equal(result, expected)
result = to_datetime(ser.apply(str), format="%Y%m%d", cache=cache)
tm.assert_series_equal(result, expected)
def test_to_datetime_format_YYYYMMDD_with_nat(self, cache):
ser = Series([19801222, 19801222] + [19810105] * 5)
# with NaT
expected = Series(
[Timestamp("19801222"), Timestamp("19801222")] + [Timestamp("19810105")] * 5
)
expected[2] = np.nan
ser[2] = np.nan
result = to_datetime(ser, format="%Y%m%d", cache=cache)
tm.assert_series_equal(result, expected)
# string with NaT
ser2 = ser.apply(str)
ser2[2] = "nat"
result = to_datetime(ser2, format="%Y%m%d", cache=cache)
tm.assert_series_equal(result, expected)
def test_to_datetime_format_YYYYMM_with_nat(self, cache):
# https://github.com/pandas-dev/pandas/issues/50237
ser = Series([198012, 198012] + [198101] * 5)
expected = Series(
[Timestamp("19801201"), Timestamp("19801201")] + [Timestamp("19810101")] * 5
)
expected[2] = np.nan
ser[2] = np.nan
result = to_datetime(ser, format="%Y%m", cache=cache)
tm.assert_series_equal(result, expected)
def test_to_datetime_format_YYYYMMDD_ignore(self, cache):
# coercion
# GH 7930
ser = Series([20121231, 20141231, 99991231])
result = to_datetime(ser, format="%Y%m%d", errors="ignore", cache=cache)
expected = Series(
[datetime(2012, 12, 31), datetime(2014, 12, 31), datetime(9999, 12, 31)],
dtype=object,
)
tm.assert_series_equal(result, expected)
def test_to_datetime_format_YYYYMMDD_coercion(self, cache):
# coercion
# GH 7930
ser = Series([20121231, 20141231, 99991231])
result = to_datetime(ser, format="%Y%m%d", errors="coerce", cache=cache)
expected = Series(["20121231", "20141231", "NaT"], dtype="M8[ns]")
tm.assert_series_equal(result, expected)
@pytest.mark.parametrize(
"input_s",
[
# Null values with Strings
["19801222", "20010112", None],
["19801222", "20010112", np.nan],
["19801222", "20010112", NaT],
["19801222", "20010112", "NaT"],
# Null values with Integers
[19801222, 20010112, None],
[19801222, 20010112, np.nan],
[19801222, 20010112, NaT],
[19801222, 20010112, "NaT"],
],
)
def test_to_datetime_format_YYYYMMDD_with_none(self, input_s):
# GH 30011
# format='%Y%m%d'
# with None
expected = Series([Timestamp("19801222"), Timestamp("20010112"), NaT])
result = Series(to_datetime(input_s, format="%Y%m%d"))
tm.assert_series_equal(result, expected)
@pytest.mark.parametrize(
"input_s, expected",
[
# NaN before strings with invalid date values
[
Series(["19801222", np.nan, "20010012", "10019999"]),
Series([Timestamp("19801222"), np.nan, np.nan, np.nan]),
],
# NaN after strings with invalid date values
[
Series(["19801222", "20010012", "10019999", np.nan]),
Series([Timestamp("19801222"), np.nan, np.nan, np.nan]),
],
# NaN before integers with invalid date values
[
Series([20190813, np.nan, 20010012, 20019999]),
Series([Timestamp("20190813"), np.nan, np.nan, np.nan]),
],
# NaN after integers with invalid date values
[
Series([20190813, 20010012, np.nan, 20019999]),
Series([Timestamp("20190813"), np.nan, np.nan, np.nan]),
],
],
)
def test_to_datetime_format_YYYYMMDD_overflow(self, input_s, expected):
# GH 25512
# format='%Y%m%d', errors='coerce'
result = to_datetime(input_s, format="%Y%m%d", errors="coerce")
tm.assert_series_equal(result, expected)
@pytest.mark.parametrize(
"data, format, expected",
[
([pd.NA], "%Y%m%d%H%M%S", DatetimeIndex(["NaT"])),
([pd.NA], None, DatetimeIndex(["NaT"])),
(
[pd.NA, "20210202202020"],
"%Y%m%d%H%M%S",
DatetimeIndex(["NaT", "2021-02-02 20:20:20"]),
),
(["201010", pd.NA], "%y%m%d", DatetimeIndex(["2020-10-10", "NaT"])),
(["201010", pd.NA], "%d%m%y", DatetimeIndex(["2010-10-20", "NaT"])),
([None, np.nan, pd.NA], None, DatetimeIndex(["NaT", "NaT", "NaT"])),
([None, np.nan, pd.NA], "%Y%m%d", DatetimeIndex(["NaT", "NaT", "NaT"])),
],
)
def test_to_datetime_with_NA(self, data, format, expected):
# GH#42957
result = to_datetime(data, format=format)
tm.assert_index_equal(result, expected)
def test_to_datetime_with_NA_with_warning(self):
# GH#42957
with tm.assert_produces_warning(UserWarning, match="Could not infer format"):
result = to_datetime(["201010", pd.NA])
expected = DatetimeIndex(["2010-10-20", "NaT"])
tm.assert_index_equal(result, expected)
def test_to_datetime_format_integer(self, cache):
# GH 10178
ser = Series([2000, 2001, 2002])
expected = Series([Timestamp(x) for x in ser.apply(str)])
result = to_datetime(ser, format="%Y", cache=cache)
tm.assert_series_equal(result, expected)
ser = Series([200001, 200105, 200206])
expected = Series([Timestamp(x[:4] + "-" + x[4:]) for x in ser.apply(str)])
result = to_datetime(ser, format="%Y%m", cache=cache)
tm.assert_series_equal(result, expected)
@pytest.mark.parametrize(
"int_date, expected",
[
# valid date, length == 8
[20121030, datetime(2012, 10, 30)],
# short valid date, length == 6
[199934, datetime(1999, 3, 4)],
# long integer date partially parsed to datetime(2012,1,1), length > 8
[2012010101, 2012010101],
# invalid date partially parsed to datetime(2012,9,9), length == 8
[20129930, 20129930],
# short integer date partially parsed to datetime(2012,9,9), length < 8
[2012993, 2012993],
# short invalid date, length == 4
[2121, 2121],
],
)
def test_int_to_datetime_format_YYYYMMDD_typeerror(self, int_date, expected):
# GH 26583
result = to_datetime(int_date, format="%Y%m%d", errors="ignore")
assert result == expected
def test_to_datetime_format_microsecond(self, cache):
month_abbr = calendar.month_abbr[4]
val = f"01-{month_abbr}-2011 00:00:01.978"
format = "%d-%b-%Y %H:%M:%S.%f"
result = to_datetime(val, format=format, cache=cache)
exp = datetime.strptime(val, format)
assert result == exp
@pytest.mark.parametrize(
"value, format, dt",
[
["01/10/2010 15:20", "%m/%d/%Y %H:%M", Timestamp("2010-01-10 15:20")],
["01/10/2010 05:43", "%m/%d/%Y %I:%M", Timestamp("2010-01-10 05:43")],
[
"01/10/2010 13:56:01",
"%m/%d/%Y %H:%M:%S",
Timestamp("2010-01-10 13:56:01"),
],
# The 3 tests below are locale-dependent.
# They pass, except when the machine locale is zh_CN or it_IT .
pytest.param(
"01/10/2010 08:14 PM",
"%m/%d/%Y %I:%M %p",
Timestamp("2010-01-10 20:14"),
marks=pytest.mark.xfail(
locale.getlocale()[0] in ("zh_CN", "it_IT"),
reason="fail on a CI build with LC_ALL=zh_CN.utf8/it_IT.utf8",
strict=False,
),
),
pytest.param(
"01/10/2010 07:40 AM",
"%m/%d/%Y %I:%M %p",
Timestamp("2010-01-10 07:40"),
marks=pytest.mark.xfail(
locale.getlocale()[0] in ("zh_CN", "it_IT"),
reason="fail on a CI build with LC_ALL=zh_CN.utf8/it_IT.utf8",
strict=False,
),
),
pytest.param(
"01/10/2010 09:12:56 AM",
"%m/%d/%Y %I:%M:%S %p",
Timestamp("2010-01-10 09:12:56"),
marks=pytest.mark.xfail(
locale.getlocale()[0] in ("zh_CN", "it_IT"),
reason="fail on a CI build with LC_ALL=zh_CN.utf8/it_IT.utf8",
strict=False,
),
),
],
)
def test_to_datetime_format_time(self, cache, value, format, dt):
assert to_datetime(value, format=format, cache=cache) == dt
@td.skip_if_not_us_locale
def test_to_datetime_with_non_exact(self, cache):
# GH 10834
# 8904
# exact kw
ser = Series(
["19MAY11", "foobar19MAY11", "19MAY11:00:00:00", "19MAY11 00:00:00Z"]
)
result = to_datetime(ser, format="%d%b%y", exact=False, cache=cache)
expected = to_datetime(
ser.str.extract(r"(\d+\w+\d+)", expand=False), format="%d%b%y", cache=cache
)
tm.assert_series_equal(result, expected)
@pytest.mark.parametrize(
"arg",
[
"2012-01-01 09:00:00.000000001",
"2012-01-01 09:00:00.000001",
"2012-01-01 09:00:00.001",
"2012-01-01 09:00:00.001000",
"2012-01-01 09:00:00.001000000",
],
)
def test_parse_nanoseconds_with_formula(self, cache, arg):
# GH8989
# truncating the nanoseconds when a format was provided
expected = to_datetime(arg, cache=cache)
result = to_datetime(arg, format="%Y-%m-%d %H:%M:%S.%f", cache=cache)
assert result == expected
@pytest.mark.parametrize(
"value,fmt,expected",
[
["2009324", "%Y%W%w", Timestamp("2009-08-13")],
["2013020", "%Y%U%w", Timestamp("2013-01-13")],
],
)
def test_to_datetime_format_weeks(self, value, fmt, expected, cache):
assert to_datetime(value, format=fmt, cache=cache) == expected
@pytest.mark.parametrize(
"fmt,dates,expected_dates",
[
[
"%Y-%m-%d %H:%M:%S %Z",
["2010-01-01 12:00:00 UTC"] * 2,
[Timestamp("2010-01-01 12:00:00", tz="UTC")] * 2,
],
[
"%Y-%m-%d %H:%M:%S %Z",
[
"2010-01-01 12:00:00 UTC",
"2010-01-01 12:00:00 GMT",
"2010-01-01 12:00:00 US/Pacific",
],
[
Timestamp("2010-01-01 12:00:00", tz="UTC"),
Timestamp("2010-01-01 12:00:00", tz="GMT"),
Timestamp("2010-01-01 12:00:00", tz="US/Pacific"),
],
],
[
"%Y-%m-%d %H:%M:%S%z",
["2010-01-01 12:00:00+0100"] * 2,
[
Timestamp(
"2010-01-01 12:00:00", tzinfo=timezone(timedelta(minutes=60))
)
]
* 2,
],
[
"%Y-%m-%d %H:%M:%S %z",
["2010-01-01 12:00:00 +0100"] * 2,
[
Timestamp(
"2010-01-01 12:00:00", tzinfo=timezone(timedelta(minutes=60))
)
]
* 2,
],
[
"%Y-%m-%d %H:%M:%S %z",
["2010-01-01 12:00:00 +0100", "2010-01-01 12:00:00 -0100"],
[
Timestamp(
"2010-01-01 12:00:00", tzinfo=timezone(timedelta(minutes=60))
),
Timestamp(
"2010-01-01 12:00:00", tzinfo=timezone(timedelta(minutes=-60))
),
],
],
[
"%Y-%m-%d %H:%M:%S %z",
["2010-01-01 12:00:00 Z", "2010-01-01 12:00:00 Z"],
[
Timestamp(
"2010-01-01 12:00:00", tzinfo=pytz.FixedOffset(0)
), # pytz coerces to UTC
Timestamp("2010-01-01 12:00:00", tzinfo=pytz.FixedOffset(0)),
],
],
],
)
def test_to_datetime_parse_tzname_or_tzoffset(self, fmt, dates, expected_dates):
# GH 13486
result = to_datetime(dates, format=fmt)
expected = Index(expected_dates)
tm.assert_equal(result, expected)
def test_to_datetime_parse_tzname_or_tzoffset_different_tz_to_utc(self):
# GH 32792
dates = [
"2010-01-01 12:00:00 +0100",
"2010-01-01 12:00:00 -0100",
"2010-01-01 12:00:00 +0300",
"2010-01-01 12:00:00 +0400",
]
expected_dates = [
"2010-01-01 11:00:00+00:00",
"2010-01-01 13:00:00+00:00",
"2010-01-01 09:00:00+00:00",
"2010-01-01 08:00:00+00:00",
]
fmt = "%Y-%m-%d %H:%M:%S %z"
result = to_datetime(dates, format=fmt, utc=True)
expected = DatetimeIndex(expected_dates)
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize(
"offset", ["+0", "-1foo", "UTCbar", ":10", "+01:000:01", ""]
)
def test_to_datetime_parse_timezone_malformed(self, offset):
fmt = "%Y-%m-%d %H:%M:%S %z"
date = "2010-01-01 12:00:00 " + offset
msg = "|".join(
[
r'^time data ".*" at position 0 doesn\'t match format ".*"$',
r'^unconverted data remains at position 0: ".*"$',
]
)
with pytest.raises(ValueError, match=msg):
to_datetime([date], format=fmt)
def test_to_datetime_parse_timezone_keeps_name(self):
# GH 21697
fmt = "%Y-%m-%d %H:%M:%S %z"
arg = Index(["2010-01-01 12:00:00 Z"], name="foo")
result = to_datetime(arg, format=fmt)
expected = DatetimeIndex(["2010-01-01 12:00:00"], tz="UTC", name="foo")
tm.assert_index_equal(result, expected)
class TestToDatetime:
def test_to_datetime_mixed_datetime_and_string(self):
# GH#47018 adapted old doctest with new behavior
d1 = datetime(2020, 1, 1, 17, tzinfo=timezone(-timedelta(hours=1)))
d2 = datetime(2020, 1, 1, 18, tzinfo=timezone(-timedelta(hours=1)))
res = to_datetime(["2020-01-01 17:00 -0100", d2])
expected = to_datetime([d1, d2]).tz_convert(timezone(timedelta(minutes=-60)))
tm.assert_index_equal(res, expected)
@pytest.mark.parametrize(
"format", ["%Y-%m-%d", "%Y-%d-%m"], ids=["ISO8601", "non-ISO8601"]
)
def test_to_datetime_mixed_date_and_string(self, format):
# https://github.com/pandas-dev/pandas/issues/50108
d1 = date(2020, 1, 2)
res = to_datetime(["2020-01-01", d1], format=format)
expected = DatetimeIndex(["2020-01-01", "2020-01-02"])
tm.assert_index_equal(res, expected)
@pytest.mark.parametrize(
"fmt",
["%Y-%d-%m %H:%M:%S%z", "%Y-%m-%d %H:%M:%S%z"],
ids=["non-ISO8601 format", "ISO8601 format"],
)
@pytest.mark.parametrize(
"utc, args, expected",
[
pytest.param(
True,
["2000-01-01 01:00:00-08:00", "2000-01-01 02:00:00-08:00"],
DatetimeIndex(
["2000-01-01 09:00:00+00:00", "2000-01-01 10:00:00+00:00"],
dtype="datetime64[ns, UTC]",
),
id="all tz-aware, with utc",
),
pytest.param(
False,
["2000-01-01 01:00:00+00:00", "2000-01-01 02:00:00+00:00"],
DatetimeIndex(
["2000-01-01 01:00:00+00:00", "2000-01-01 02:00:00+00:00"],
),
id="all tz-aware, without utc",
),
pytest.param(
True,
["2000-01-01 01:00:00-08:00", "2000-01-01 02:00:00+00:00"],
DatetimeIndex(
["2000-01-01 09:00:00+00:00", "2000-01-01 02:00:00+00:00"],
dtype="datetime64[ns, UTC]",
),
id="all tz-aware, mixed offsets, with utc",
),
],
)
@pytest.mark.parametrize(
"constructor",
[Timestamp, lambda x: Timestamp(x).to_pydatetime()],
)
def test_to_datetime_mixed_datetime_and_string_with_format(
self, fmt, utc, args, expected, constructor
):
# https://github.com/pandas-dev/pandas/issues/49298
# note: ISO8601 formats go down a fastpath, so we need to check both
# a ISO8601 format and a non-ISO8601 one
ts1 = constructor(args[0])
ts2 = args[1]
result = to_datetime([ts1, ts2], format=fmt, utc=utc)
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize(
"fmt",
["%Y-%d-%m %H:%M:%S%z", "%Y-%m-%d %H:%M:%S%z"],
ids=["non-ISO8601 format", "ISO8601 format"],
)
@pytest.mark.parametrize(
"args",
[
pytest.param(
["2000-01-01 01:00:00-08:00", "2000-01-01 02:00:00-07:00"],
id="all tz-aware, mixed timezones, without utc",
),
],
)
@pytest.mark.parametrize(
"constructor",
[Timestamp, lambda x: Timestamp(x).to_pydatetime()],
)
def test_to_datetime_mixed_datetime_and_string_with_format_raises(
self, fmt, args, constructor
):
# https://github.com/pandas-dev/pandas/issues/49298
# note: ISO8601 formats go down a fastpath, so we need to check both
# a ISO8601 format and a non-ISO8601 one
ts1 = constructor(args[0])
ts2 = constructor(args[1])
with pytest.raises(
ValueError, match="cannot be converted to datetime64 unless utc=True"
):
to_datetime([ts1, ts2], format=fmt, utc=False)
def test_to_datetime_np_str(self):
# GH#32264
# GH#48969
value = np.str_("2019-02-04 10:18:46.297000+0000")
ser = Series([value])
exp = Timestamp("2019-02-04 10:18:46.297000", tz="UTC")
assert to_datetime(value) == exp
assert to_datetime(ser.iloc[0]) == exp
res = to_datetime([value])
expected = Index([exp])
tm.assert_index_equal(res, expected)
res = to_datetime(ser)
expected = Series(expected)
tm.assert_series_equal(res, expected)
@pytest.mark.parametrize(
"s, _format, dt",
[
["2015-1-1", "%G-%V-%u", datetime(2014, 12, 29, 0, 0)],
["2015-1-4", "%G-%V-%u", datetime(2015, 1, 1, 0, 0)],
["2015-1-7", "%G-%V-%u", datetime(2015, 1, 4, 0, 0)],
],
)
def test_to_datetime_iso_week_year_format(self, s, _format, dt):
# See GH#16607
assert to_datetime(s, format=_format) == dt
@pytest.mark.parametrize(
"msg, s, _format",
[
[
"ISO week directive '%V' is incompatible with the year directive "
"'%Y'. Use the ISO year '%G' instead.",
"1999 50",
"%Y %V",
],
[
"ISO year directive '%G' must be used with the ISO week directive "
"'%V' and a weekday directive '%A', '%a', '%w', or '%u'.",
"1999 51",
"%G %V",
],
[
"ISO year directive '%G' must be used with the ISO week directive "
"'%V' and a weekday directive '%A', '%a', '%w', or '%u'.",
"1999 Monday",
"%G %A",
],
[
"ISO year directive '%G' must be used with the ISO week directive "
"'%V' and a weekday directive '%A', '%a', '%w', or '%u'.",
"1999 Mon",
"%G %a",
],
[
"ISO year directive '%G' must be used with the ISO week directive "
"'%V' and a weekday directive '%A', '%a', '%w', or '%u'.",
"1999 6",
"%G %w",
],
[
"ISO year directive '%G' must be used with the ISO week directive "
"'%V' and a weekday directive '%A', '%a', '%w', or '%u'.",
"1999 6",
"%G %u",
],
[
"ISO year directive '%G' must be used with the ISO week directive "
"'%V' and a weekday directive '%A', '%a', '%w', or '%u'.",
"2051",
"%G",
],
[
"Day of the year directive '%j' is not compatible with ISO year "
"directive '%G'. Use '%Y' instead.",
"1999 51 6 256",
"%G %V %u %j",
],
[
"ISO week directive '%V' is incompatible with the year directive "
"'%Y'. Use the ISO year '%G' instead.",
"1999 51 Sunday",
"%Y %V %A",
],
[
"ISO week directive '%V' is incompatible with the year directive "
"'%Y'. Use the ISO year '%G' instead.",
"1999 51 Sun",
"%Y %V %a",
],
[
"ISO week directive '%V' is incompatible with the year directive "
"'%Y'. Use the ISO year '%G' instead.",
"1999 51 1",
"%Y %V %w",
],
[
"ISO week directive '%V' is incompatible with the year directive "
"'%Y'. Use the ISO year '%G' instead.",
"1999 51 1",
"%Y %V %u",
],
[
"ISO week directive '%V' must be used with the ISO year directive "
"'%G' and a weekday directive '%A', '%a', '%w', or '%u'.",
"20",
"%V",
],
[
"ISO week directive '%V' must be used with the ISO year directive "
"'%G' and a weekday directive '%A', '%a', '%w', or '%u'.",
"1999 51 Sunday",
"%V %A",
],
[
"ISO week directive '%V' must be used with the ISO year directive "
"'%G' and a weekday directive '%A', '%a', '%w', or '%u'.",
"1999 51 Sun",
"%V %a",
],
[
"ISO week directive '%V' must be used with the ISO year directive "
"'%G' and a weekday directive '%A', '%a', '%w', or '%u'.",
"1999 51 1",
"%V %w",
],
[
"ISO week directive '%V' must be used with the ISO year directive "
"'%G' and a weekday directive '%A', '%a', '%w', or '%u'.",
"1999 51 1",
"%V %u",
],
[
"Day of the year directive '%j' is not compatible with ISO year "
"directive '%G'. Use '%Y' instead.",
"1999 50",
"%G %j",
],
[
"ISO week directive '%V' must be used with the ISO year directive "
"'%G' and a weekday directive '%A', '%a', '%w', or '%u'.",
"20 Monday",
"%V %A",
],
],
)
@pytest.mark.parametrize("errors", ["raise", "coerce", "ignore"])
def test_error_iso_week_year(self, msg, s, _format, errors):
# See GH#16607, GH#50308
# This test checks for errors thrown when giving the wrong format
# However, as discussed on PR#25541, overriding the locale
# causes a different error to be thrown due to the format being
# locale specific, but the test data is in english.
# Therefore, the tests only run when locale is not overwritten,
# as a sort of solution to this problem.
if locale.getlocale() != ("zh_CN", "UTF-8") and locale.getlocale() != (
"it_IT",
"UTF-8",
):
with pytest.raises(ValueError, match=msg):
to_datetime(s, format=_format, errors=errors)
@pytest.mark.parametrize("tz", [None, "US/Central"])
def test_to_datetime_dtarr(self, tz):
# DatetimeArray
dti = date_range("1965-04-03", periods=19, freq="2W", tz=tz)
arr = DatetimeArray(dti)
result = to_datetime(arr)
assert result is arr
def test_to_datetime_pydatetime(self):
actual = to_datetime(datetime(2008, 1, 15))
assert actual == datetime(2008, 1, 15)
def test_to_datetime_YYYYMMDD(self):
actual = to_datetime("20080115")
assert actual == datetime(2008, 1, 15)
def test_to_datetime_unparsable_ignore(self):
# unparsable
ser = "Month 1, 1999"
with tm.assert_produces_warning(UserWarning, match="Could not infer format"):
assert to_datetime(ser, errors="ignore") == ser
@td.skip_if_windows # `tm.set_timezone` does not work in windows
def test_to_datetime_now(self):
# See GH#18666
with tm.set_timezone("US/Eastern"):
# GH#18705
now = Timestamp("now")
pdnow = to_datetime("now")
pdnow2 = to_datetime(["now"])[0]
# These should all be equal with infinite perf; this gives
# a generous margin of 10 seconds
assert abs(pdnow.value - now.value) < 1e10
assert abs(pdnow2.value - now.value) < 1e10
assert pdnow.tzinfo is None
assert pdnow2.tzinfo is None
@td.skip_if_windows # `tm.set_timezone` does not work in windows
@pytest.mark.parametrize("tz", ["Pacific/Auckland", "US/Samoa"])
def test_to_datetime_today(self, tz):
# See GH#18666
# Test with one timezone far ahead of UTC and another far behind, so
# one of these will _almost_ always be in a different day from UTC.
# Unfortunately this test between 12 and 1 AM Samoa time
# this both of these timezones _and_ UTC will all be in the same day,
# so this test will not detect the regression introduced in #18666.
with tm.set_timezone(tz):
nptoday = np.datetime64("today").astype("datetime64[ns]").astype(np.int64)
pdtoday = to_datetime("today")
pdtoday2 = to_datetime(["today"])[0]
tstoday = Timestamp("today")
tstoday2 = Timestamp.today().as_unit("ns")
# These should all be equal with infinite perf; this gives
# a generous margin of 10 seconds
assert abs(pdtoday.normalize().value - nptoday) < 1e10
assert abs(pdtoday2.normalize().value - nptoday) < 1e10
assert abs(pdtoday.value - tstoday.value) < 1e10
assert abs(pdtoday.value - tstoday2.value) < 1e10
assert pdtoday.tzinfo is None
assert pdtoday2.tzinfo is None
@pytest.mark.parametrize("arg", ["now", "today"])
def test_to_datetime_today_now_unicode_bytes(self, arg):
to_datetime([arg])
@pytest.mark.parametrize(
"dt", [np.datetime64("2000-01-01"), np.datetime64("2000-01-02")]
)
def test_to_datetime_dt64s(self, cache, dt):
assert to_datetime(dt, cache=cache) == Timestamp(dt)
@pytest.mark.parametrize(
"arg, format",
[
("2001-01-01", "%Y-%m-%d"),
("01-01-2001", "%d-%m-%Y"),
],
)
def test_to_datetime_dt64s_and_str(self, arg, format):
# https://github.com/pandas-dev/pandas/issues/50036
result = to_datetime([arg, np.datetime64("2020-01-01")], format=format)
expected = DatetimeIndex(["2001-01-01", "2020-01-01"])
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize(
"dt", [np.datetime64("1000-01-01"), np.datetime64("5000-01-02")]
)
def test_to_datetime_dt64s_out_of_bounds(self, cache, dt):
msg = "Out of bounds .* present at position 0"
with pytest.raises(OutOfBoundsDatetime, match=msg):
to_datetime(dt, errors="raise")
# TODO(2.0): The Timestamp and to_datetime behaviors should match;
# as of 2022-09-28, the Timestamp constructor has been updated
# to cast to M8[s] but to_datetime has not
ts = Timestamp(dt)
assert ts._creso == NpyDatetimeUnit.NPY_FR_s.value
assert ts.asm8 == dt
msg = "Out of bounds nanosecond timestamp"
with pytest.raises(OutOfBoundsDatetime, match=msg):
Timestamp(np.datetime64(np.iinfo(np.int64).max, "D"))
assert to_datetime(dt, errors="coerce", cache=cache) is NaT
@pytest.mark.parametrize("unit", ["s", "D"])
def test_to_datetime_array_of_dt64s(self, cache, unit):
# https://github.com/pandas-dev/pandas/issues/31491
# Need at least 50 to ensure cache is used.
dts = [
np.datetime64("2000-01-01", unit),
np.datetime64("2000-01-02", unit),
] * 30
# Assuming all datetimes are in bounds, to_datetime() returns
# an array that is equal to Timestamp() parsing
result = to_datetime(dts, cache=cache)
expected = DatetimeIndex([Timestamp(x).asm8 for x in dts], dtype="M8[ns]")
tm.assert_index_equal(result, expected)
# A list of datetimes where the last one is out of bounds
dts_with_oob = dts + [np.datetime64("9999-01-01")]
msg = "Out of bounds nanosecond timestamp: 9999-01-01 00:00:00"
with pytest.raises(OutOfBoundsDatetime, match=msg):
to_datetime(dts_with_oob, errors="raise")
tm.assert_index_equal(
to_datetime(dts_with_oob, errors="coerce", cache=cache),
DatetimeIndex(
[Timestamp(dts_with_oob[0]).asm8, Timestamp(dts_with_oob[1]).asm8] * 30
+ [NaT],
),
)
# With errors='ignore', out of bounds datetime64s
# are converted to their .item(), which depending on the version of
# numpy is either a python datetime.datetime or datetime.date
tm.assert_index_equal(
to_datetime(dts_with_oob, errors="ignore", cache=cache),
Index([dt.item() for dt in dts_with_oob]),
)
def test_to_datetime_tz(self, cache):
# xref 8260
# uniform returns a DatetimeIndex
arr = [
Timestamp("2013-01-01 13:00:00-0800", tz="US/Pacific"),
Timestamp("2013-01-02 14:00:00-0800", tz="US/Pacific"),
]
result = to_datetime(arr, cache=cache)
expected = DatetimeIndex(
["2013-01-01 13:00:00", "2013-01-02 14:00:00"], tz="US/Pacific"
)
tm.assert_index_equal(result, expected)
def test_to_datetime_tz_mixed_raises(self, cache):
# mixed tzs will raise
arr = [
Timestamp("2013-01-01 13:00:00", tz="US/Pacific"),
Timestamp("2013-01-02 14:00:00", tz="US/Eastern"),
]
msg = (
"Tz-aware datetime.datetime cannot be "
"converted to datetime64 unless utc=True"
)
with pytest.raises(ValueError, match=msg):
to_datetime(arr, cache=cache)
def test_to_datetime_different_offsets(self, cache):
# inspired by asv timeseries.ToDatetimeNONISO8601 benchmark
# see GH-26097 for more
ts_string_1 = "March 1, 2018 12:00:00+0400"
ts_string_2 = "March 1, 2018 12:00:00+0500"
arr = [ts_string_1] * 5 + [ts_string_2] * 5
expected = Index([parse(x) for x in arr])
result = to_datetime(arr, cache=cache)
tm.assert_index_equal(result, expected)
def test_to_datetime_tz_pytz(self, cache):
# see gh-8260
us_eastern = pytz.timezone("US/Eastern")
arr = np.array(
[
us_eastern.localize(
datetime(year=2000, month=1, day=1, hour=3, minute=0)
),
us_eastern.localize(
datetime(year=2000, month=6, day=1, hour=3, minute=0)
),
],
dtype=object,
)
result = to_datetime(arr, utc=True, cache=cache)
expected = DatetimeIndex(
["2000-01-01 08:00:00+00:00", "2000-06-01 07:00:00+00:00"],
dtype="datetime64[ns, UTC]",
freq=None,
)
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize(
"init_constructor, end_constructor",
[
(Index, DatetimeIndex),
(list, DatetimeIndex),
(np.array, DatetimeIndex),
(Series, Series),
],
)
def test_to_datetime_utc_true(self, cache, init_constructor, end_constructor):
# See gh-11934 & gh-6415
data = ["20100102 121314", "20100102 121315"]
expected_data = [
Timestamp("2010-01-02 12:13:14", tz="utc"),
Timestamp("2010-01-02 12:13:15", tz="utc"),
]
result = to_datetime(
init_constructor(data), format="%Y%m%d %H%M%S", utc=True, cache=cache
)
expected = end_constructor(expected_data)
tm.assert_equal(result, expected)
@pytest.mark.parametrize(
"scalar, expected",
[