8th day of python challenges 111-117

This commit is contained in:
abd.shallal
2019-08-04 15:26:35 +03:00
parent b04c1b055f
commit 627802c383
3215 changed files with 760227 additions and 491 deletions

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from datetime import datetime, timedelta
import numpy as np
import pytest
from pandas import Timedelta, Timestamp
import pandas.util.testing as tm
from pandas.tseries import offsets
from pandas.tseries.frequencies import to_offset
class TestTimestampArithmetic:
def test_overflow_offset(self):
# no overflow expected
stamp = Timestamp("2000/1/1")
offset_no_overflow = to_offset("D") * 100
expected = Timestamp("2000/04/10")
assert stamp + offset_no_overflow == expected
assert offset_no_overflow + stamp == expected
expected = Timestamp("1999/09/23")
assert stamp - offset_no_overflow == expected
def test_overflow_offset_raises(self):
# xref https://github.com/statsmodels/statsmodels/issues/3374
# ends up multiplying really large numbers which overflow
stamp = Timestamp("2017-01-13 00:00:00", freq="D")
offset_overflow = 20169940 * offsets.Day(1)
msg = (
"the add operation between "
r"\<-?\d+ \* Days\> and \d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2} "
"will overflow"
)
with pytest.raises(OverflowError, match=msg):
stamp + offset_overflow
with pytest.raises(OverflowError, match=msg):
offset_overflow + stamp
with pytest.raises(OverflowError, match=msg):
stamp - offset_overflow
# xref https://github.com/pandas-dev/pandas/issues/14080
# used to crash, so check for proper overflow exception
stamp = Timestamp("2000/1/1")
offset_overflow = to_offset("D") * 100 ** 25
with pytest.raises(OverflowError, match=msg):
stamp + offset_overflow
with pytest.raises(OverflowError, match=msg):
offset_overflow + stamp
with pytest.raises(OverflowError, match=msg):
stamp - offset_overflow
def test_delta_preserve_nanos(self):
val = Timestamp(1337299200000000123)
result = val + timedelta(1)
assert result.nanosecond == val.nanosecond
def test_timestamp_sub_datetime(self):
dt = datetime(2013, 10, 12)
ts = Timestamp(datetime(2013, 10, 13))
assert (ts - dt).days == 1
assert (dt - ts).days == -1
def test_addition_subtraction_types(self):
# Assert on the types resulting from Timestamp +/- various date/time
# objects
dt = datetime(2014, 3, 4)
td = timedelta(seconds=1)
# build a timestamp with a frequency, since then it supports
# addition/subtraction of integers
ts = Timestamp(dt, freq="D")
with tm.assert_produces_warning(FutureWarning):
# GH#22535 add/sub with integers is deprecated
assert type(ts + 1) == Timestamp
assert type(ts - 1) == Timestamp
# Timestamp + datetime not supported, though subtraction is supported
# and yields timedelta more tests in tseries/base/tests/test_base.py
assert type(ts - dt) == Timedelta
assert type(ts + td) == Timestamp
assert type(ts - td) == Timestamp
# Timestamp +/- datetime64 not supported, so not tested (could possibly
# assert error raised?)
td64 = np.timedelta64(1, "D")
assert type(ts + td64) == Timestamp
assert type(ts - td64) == Timestamp
@pytest.mark.parametrize(
"freq, td, td64",
[
("S", timedelta(seconds=1), np.timedelta64(1, "s")),
("min", timedelta(minutes=1), np.timedelta64(1, "m")),
("H", timedelta(hours=1), np.timedelta64(1, "h")),
("D", timedelta(days=1), np.timedelta64(1, "D")),
("W", timedelta(weeks=1), np.timedelta64(1, "W")),
("M", None, np.timedelta64(1, "M")),
],
)
def test_addition_subtraction_preserve_frequency(self, freq, td, td64):
ts = Timestamp("2014-03-05 00:00:00", freq=freq)
original_freq = ts.freq
with tm.assert_produces_warning(FutureWarning):
# GH#22535 add/sub with integers is deprecated
assert (ts + 1).freq == original_freq
assert (ts - 1).freq == original_freq
assert (ts + 1 * original_freq).freq == original_freq
assert (ts - 1 * original_freq).freq == original_freq
if td is not None:
# timedelta does not support months as unit
assert (ts + td).freq == original_freq
assert (ts - td).freq == original_freq
assert (ts + td64).freq == original_freq
assert (ts - td64).freq == original_freq
@pytest.mark.parametrize(
"td", [Timedelta(hours=3), np.timedelta64(3, "h"), timedelta(hours=3)]
)
def test_radd_tdscalar(self, td):
# GH#24775 timedelta64+Timestamp should not raise
ts = Timestamp.now()
assert td + ts == ts + td
@pytest.mark.parametrize(
"other,expected_difference",
[
(np.timedelta64(-123, "ns"), -123),
(np.timedelta64(1234567898, "ns"), 1234567898),
(np.timedelta64(-123, "us"), -123000),
(np.timedelta64(-123, "ms"), -123000000),
],
)
def test_timestamp_add_timedelta64_unit(self, other, expected_difference):
ts = Timestamp(datetime.utcnow())
result = ts + other
valdiff = result.value - ts.value
assert valdiff == expected_difference

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from datetime import datetime
import operator
import numpy as np
import pytest
from pandas import Timestamp
class TestTimestampComparison:
def test_comparison_object_array(self):
# GH#15183
ts = Timestamp("2011-01-03 00:00:00-0500", tz="US/Eastern")
other = Timestamp("2011-01-01 00:00:00-0500", tz="US/Eastern")
naive = Timestamp("2011-01-01 00:00:00")
arr = np.array([other, ts], dtype=object)
res = arr == ts
expected = np.array([False, True], dtype=bool)
assert (res == expected).all()
# 2D case
arr = np.array([[other, ts], [ts, other]], dtype=object)
res = arr != ts
expected = np.array([[True, False], [False, True]], dtype=bool)
assert res.shape == expected.shape
assert (res == expected).all()
# tzaware mismatch
arr = np.array([naive], dtype=object)
with pytest.raises(TypeError):
arr < ts
def test_comparison(self):
# 5-18-2012 00:00:00.000
stamp = 1337299200000000000
val = Timestamp(stamp)
assert val == val
assert not val != val
assert not val < val
assert val <= val
assert not val > val
assert val >= val
other = datetime(2012, 5, 18)
assert val == other
assert not val != other
assert not val < other
assert val <= other
assert not val > other
assert val >= other
other = Timestamp(stamp + 100)
assert val != other
assert val != other
assert val < other
assert val <= other
assert other > val
assert other >= val
def test_compare_invalid(self):
# GH#8058
val = Timestamp("20130101 12:01:02")
assert not val == "foo"
assert not val == 10.0
assert not val == 1
assert not val == []
assert not val == {"foo": 1}
assert not val == np.float64(1)
assert not val == np.int64(1)
assert val != "foo"
assert val != 10.0
assert val != 1
assert val != []
assert val != {"foo": 1}
assert val != np.float64(1)
assert val != np.int64(1)
def test_cant_compare_tz_naive_w_aware(self, utc_fixture):
# see GH#1404
a = Timestamp("3/12/2012")
b = Timestamp("3/12/2012", tz=utc_fixture)
with pytest.raises(TypeError):
a == b
with pytest.raises(TypeError):
a != b
with pytest.raises(TypeError):
a < b
with pytest.raises(TypeError):
a <= b
with pytest.raises(TypeError):
a > b
with pytest.raises(TypeError):
a >= b
with pytest.raises(TypeError):
b == a
with pytest.raises(TypeError):
b != a
with pytest.raises(TypeError):
b < a
with pytest.raises(TypeError):
b <= a
with pytest.raises(TypeError):
b > a
with pytest.raises(TypeError):
b >= a
assert not a == b.to_pydatetime()
assert not a.to_pydatetime() == b
def test_timestamp_compare_scalars(self):
# case where ndim == 0
lhs = np.datetime64(datetime(2013, 12, 6))
rhs = Timestamp("now")
nat = Timestamp("nat")
ops = {"gt": "lt", "lt": "gt", "ge": "le", "le": "ge", "eq": "eq", "ne": "ne"}
for left, right in ops.items():
left_f = getattr(operator, left)
right_f = getattr(operator, right)
expected = left_f(lhs, rhs)
result = right_f(rhs, lhs)
assert result == expected
expected = left_f(rhs, nat)
result = right_f(nat, rhs)
assert result == expected
def test_timestamp_compare_with_early_datetime(self):
# e.g. datetime.min
stamp = Timestamp("2012-01-01")
assert not stamp == datetime.min
assert not stamp == datetime(1600, 1, 1)
assert not stamp == datetime(2700, 1, 1)
assert stamp != datetime.min
assert stamp != datetime(1600, 1, 1)
assert stamp != datetime(2700, 1, 1)
assert stamp > datetime(1600, 1, 1)
assert stamp >= datetime(1600, 1, 1)
assert stamp < datetime(2700, 1, 1)
assert stamp <= datetime(2700, 1, 1)
def test_compare_zerodim_array(self):
# GH#26916
ts = Timestamp.now()
dt64 = np.datetime64("2016-01-01", "ns")
arr = np.array(dt64)
assert arr.ndim == 0
result = arr < ts
assert result is True
result = arr > ts
assert result is False
def test_rich_comparison_with_unsupported_type():
# Comparisons with unsupported objects should return NotImplemented
# (it previously raised TypeError, see #24011)
class Inf:
def __lt__(self, o):
return False
def __le__(self, o):
return isinstance(o, Inf)
def __gt__(self, o):
return not isinstance(o, Inf)
def __ge__(self, o):
return True
def __eq__(self, o):
return isinstance(o, Inf)
inf = Inf()
timestamp = Timestamp("2018-11-30")
for left, right in [(inf, timestamp), (timestamp, inf)]:
assert left > right or left < right
assert left >= right or left <= right
assert not (left == right)
assert left != right

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import pprint
import pytest
import pytz # noqa # a test below uses pytz but only inside a `eval` call
from pandas import Timestamp
class TestTimestampRendering:
timezones = ["UTC", "Asia/Tokyo", "US/Eastern", "dateutil/US/Pacific"]
@pytest.mark.parametrize("tz", timezones)
@pytest.mark.parametrize("freq", ["D", "M", "S", "N"])
@pytest.mark.parametrize(
"date", ["2014-03-07", "2014-01-01 09:00", "2014-01-01 00:00:00.000000001"]
)
def test_repr(self, date, freq, tz):
# avoid to match with timezone name
freq_repr = "'{0}'".format(freq)
if tz.startswith("dateutil"):
tz_repr = tz.replace("dateutil", "")
else:
tz_repr = tz
date_only = Timestamp(date)
assert date in repr(date_only)
assert tz_repr not in repr(date_only)
assert freq_repr not in repr(date_only)
assert date_only == eval(repr(date_only))
date_tz = Timestamp(date, tz=tz)
assert date in repr(date_tz)
assert tz_repr in repr(date_tz)
assert freq_repr not in repr(date_tz)
assert date_tz == eval(repr(date_tz))
date_freq = Timestamp(date, freq=freq)
assert date in repr(date_freq)
assert tz_repr not in repr(date_freq)
assert freq_repr in repr(date_freq)
assert date_freq == eval(repr(date_freq))
date_tz_freq = Timestamp(date, tz=tz, freq=freq)
assert date in repr(date_tz_freq)
assert tz_repr in repr(date_tz_freq)
assert freq_repr in repr(date_tz_freq)
assert date_tz_freq == eval(repr(date_tz_freq))
def test_repr_utcoffset(self):
# This can cause the tz field to be populated, but it's redundant to
# include this information in the date-string.
date_with_utc_offset = Timestamp("2014-03-13 00:00:00-0400", tz=None)
assert "2014-03-13 00:00:00-0400" in repr(date_with_utc_offset)
assert "tzoffset" not in repr(date_with_utc_offset)
assert "pytz.FixedOffset(-240)" in repr(date_with_utc_offset)
expr = repr(date_with_utc_offset).replace(
"'pytz.FixedOffset(-240)'", "pytz.FixedOffset(-240)"
)
assert date_with_utc_offset == eval(expr)
def test_timestamp_repr_pre1900(self):
# pre-1900
stamp = Timestamp("1850-01-01", tz="US/Eastern")
repr(stamp)
iso8601 = "1850-01-01 01:23:45.012345"
stamp = Timestamp(iso8601, tz="US/Eastern")
result = repr(stamp)
assert iso8601 in result
def test_pprint(self):
# GH#12622
nested_obj = {"foo": 1, "bar": [{"w": {"a": Timestamp("2011-01-01")}}] * 10}
result = pprint.pformat(nested_obj, width=50)
expected = r"""{'bar': [{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}},
{'w': {'a': Timestamp('2011-01-01 00:00:00')}}],
'foo': 1}"""
assert result == expected

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"""
Tests for Timestamp timezone-related methods
"""
from datetime import date, datetime, timedelta
import dateutil
from dateutil.tz import gettz, tzoffset
import pytest
import pytz
from pytz.exceptions import AmbiguousTimeError, NonExistentTimeError
from pandas._libs.tslibs import timezones
from pandas.errors import OutOfBoundsDatetime
import pandas.util._test_decorators as td
from pandas import NaT, Timestamp
import pandas.util.testing as tm
class TestTimestampTZOperations:
# --------------------------------------------------------------
# Timestamp.tz_localize
def test_tz_localize_pushes_out_of_bounds(self):
# GH#12677
# tz_localize that pushes away from the boundary is OK
pac = Timestamp.min.tz_localize("US/Pacific")
assert pac.value > Timestamp.min.value
pac.tz_convert("Asia/Tokyo") # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.min.tz_localize("Asia/Tokyo")
# tz_localize that pushes away from the boundary is OK
tokyo = Timestamp.max.tz_localize("Asia/Tokyo")
assert tokyo.value < Timestamp.max.value
tokyo.tz_convert("US/Pacific") # tz_convert doesn't change value
with pytest.raises(OutOfBoundsDatetime):
Timestamp.max.tz_localize("US/Pacific")
def test_tz_localize_ambiguous_bool(self):
# make sure that we are correctly accepting bool values as ambiguous
# GH#14402
ts = Timestamp("2015-11-01 01:00:03")
expected0 = Timestamp("2015-11-01 01:00:03-0500", tz="US/Central")
expected1 = Timestamp("2015-11-01 01:00:03-0600", tz="US/Central")
with pytest.raises(pytz.AmbiguousTimeError):
ts.tz_localize("US/Central")
result = ts.tz_localize("US/Central", ambiguous=True)
assert result == expected0
result = ts.tz_localize("US/Central", ambiguous=False)
assert result == expected1
def test_tz_localize_ambiguous(self):
ts = Timestamp("2014-11-02 01:00")
ts_dst = ts.tz_localize("US/Eastern", ambiguous=True)
ts_no_dst = ts.tz_localize("US/Eastern", ambiguous=False)
assert (ts_no_dst.value - ts_dst.value) / 1e9 == 3600
with pytest.raises(ValueError):
ts.tz_localize("US/Eastern", ambiguous="infer")
# GH#8025
msg = "Cannot localize tz-aware Timestamp, use tz_convert for conversions"
with pytest.raises(TypeError, match=msg):
Timestamp("2011-01-01", tz="US/Eastern").tz_localize("Asia/Tokyo")
msg = "Cannot convert tz-naive Timestamp, use tz_localize to localize"
with pytest.raises(TypeError, match=msg):
Timestamp("2011-01-01").tz_convert("Asia/Tokyo")
@pytest.mark.parametrize(
"stamp, tz",
[
("2015-03-08 02:00", "US/Eastern"),
("2015-03-08 02:30", "US/Pacific"),
("2015-03-29 02:00", "Europe/Paris"),
("2015-03-29 02:30", "Europe/Belgrade"),
],
)
@pytest.mark.filterwarnings("ignore::FutureWarning")
def test_tz_localize_nonexistent(self, stamp, tz):
# GH#13057
ts = Timestamp(stamp)
with pytest.raises(NonExistentTimeError):
ts.tz_localize(tz)
# GH 22644
with pytest.raises(NonExistentTimeError):
with tm.assert_produces_warning(FutureWarning):
ts.tz_localize(tz, errors="raise")
with tm.assert_produces_warning(FutureWarning):
assert ts.tz_localize(tz, errors="coerce") is NaT
def test_tz_localize_errors_ambiguous(self):
# GH#13057
ts = Timestamp("2015-11-1 01:00")
with pytest.raises(AmbiguousTimeError):
with tm.assert_produces_warning(FutureWarning):
ts.tz_localize("US/Pacific", errors="coerce")
@pytest.mark.filterwarnings("ignore::FutureWarning")
def test_tz_localize_errors_invalid_arg(self):
# GH 22644
tz = "Europe/Warsaw"
ts = Timestamp("2015-03-29 02:00:00")
with pytest.raises(ValueError):
with tm.assert_produces_warning(FutureWarning):
ts.tz_localize(tz, errors="foo")
def test_tz_localize_errors_coerce(self):
# GH 22644
# make sure errors='coerce' gets mapped correctly to nonexistent
tz = "Europe/Warsaw"
ts = Timestamp("2015-03-29 02:00:00")
with tm.assert_produces_warning(FutureWarning):
result = ts.tz_localize(tz, errors="coerce")
expected = ts.tz_localize(tz, nonexistent="NaT")
assert result is expected
@pytest.mark.parametrize(
"stamp",
[
"2014-02-01 09:00",
"2014-07-08 09:00",
"2014-11-01 17:00",
"2014-11-05 00:00",
],
)
def test_tz_localize_roundtrip(self, stamp, tz_aware_fixture):
tz = tz_aware_fixture
ts = Timestamp(stamp)
localized = ts.tz_localize(tz)
assert localized == Timestamp(stamp, tz=tz)
with pytest.raises(TypeError):
localized.tz_localize(tz)
reset = localized.tz_localize(None)
assert reset == ts
assert reset.tzinfo is None
def test_tz_localize_ambiguous_compat(self):
# validate that pytz and dateutil are compat for dst
# when the transition happens
naive = Timestamp("2013-10-27 01:00:00")
pytz_zone = "Europe/London"
dateutil_zone = "dateutil/Europe/London"
result_pytz = naive.tz_localize(pytz_zone, ambiguous=0)
result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=0)
assert result_pytz.value == result_dateutil.value
assert result_pytz.value == 1382835600000000000
# fixed ambiguous behavior
# see gh-14621
assert result_pytz.to_pydatetime().tzname() == "GMT"
assert result_dateutil.to_pydatetime().tzname() == "BST"
assert str(result_pytz) != str(result_dateutil)
# 1 hour difference
result_pytz = naive.tz_localize(pytz_zone, ambiguous=1)
result_dateutil = naive.tz_localize(dateutil_zone, ambiguous=1)
assert result_pytz.value == result_dateutil.value
assert result_pytz.value == 1382832000000000000
# see gh-14621
assert str(result_pytz) == str(result_dateutil)
assert (
result_pytz.to_pydatetime().tzname()
== result_dateutil.to_pydatetime().tzname()
)
@pytest.mark.parametrize(
"tz",
[
pytz.timezone("US/Eastern"),
gettz("US/Eastern"),
"US/Eastern",
"dateutil/US/Eastern",
],
)
def test_timestamp_tz_localize(self, tz):
stamp = Timestamp("3/11/2012 04:00")
result = stamp.tz_localize(tz)
expected = Timestamp("3/11/2012 04:00", tz=tz)
assert result.hour == expected.hour
assert result == expected
@pytest.mark.parametrize(
"start_ts, tz, end_ts, shift",
[
["2015-03-29 02:20:00", "Europe/Warsaw", "2015-03-29 03:00:00", "forward"],
[
"2015-03-29 02:20:00",
"Europe/Warsaw",
"2015-03-29 01:59:59.999999999",
"backward",
],
[
"2015-03-29 02:20:00",
"Europe/Warsaw",
"2015-03-29 03:20:00",
timedelta(hours=1),
],
[
"2015-03-29 02:20:00",
"Europe/Warsaw",
"2015-03-29 01:20:00",
timedelta(hours=-1),
],
["2018-03-11 02:33:00", "US/Pacific", "2018-03-11 03:00:00", "forward"],
[
"2018-03-11 02:33:00",
"US/Pacific",
"2018-03-11 01:59:59.999999999",
"backward",
],
[
"2018-03-11 02:33:00",
"US/Pacific",
"2018-03-11 03:33:00",
timedelta(hours=1),
],
[
"2018-03-11 02:33:00",
"US/Pacific",
"2018-03-11 01:33:00",
timedelta(hours=-1),
],
],
)
@pytest.mark.parametrize("tz_type", ["", "dateutil/"])
def test_timestamp_tz_localize_nonexistent_shift(
self, start_ts, tz, end_ts, shift, tz_type
):
# GH 8917, 24466
tz = tz_type + tz
if isinstance(shift, str):
shift = "shift_" + shift
ts = Timestamp(start_ts)
result = ts.tz_localize(tz, nonexistent=shift)
expected = Timestamp(end_ts).tz_localize(tz)
assert result == expected
@pytest.mark.parametrize("offset", [-1, 1])
@pytest.mark.parametrize("tz_type", ["", "dateutil/"])
def test_timestamp_tz_localize_nonexistent_shift_invalid(self, offset, tz_type):
# GH 8917, 24466
tz = tz_type + "Europe/Warsaw"
ts = Timestamp("2015-03-29 02:20:00")
msg = "The provided timedelta will relocalize on a nonexistent time"
with pytest.raises(ValueError, match=msg):
ts.tz_localize(tz, nonexistent=timedelta(seconds=offset))
@pytest.mark.parametrize("tz", ["Europe/Warsaw", "dateutil/Europe/Warsaw"])
def test_timestamp_tz_localize_nonexistent_NaT(self, tz):
# GH 8917
ts = Timestamp("2015-03-29 02:20:00")
result = ts.tz_localize(tz, nonexistent="NaT")
assert result is NaT
@pytest.mark.parametrize("tz", ["Europe/Warsaw", "dateutil/Europe/Warsaw"])
def test_timestamp_tz_localize_nonexistent_raise(self, tz):
# GH 8917
ts = Timestamp("2015-03-29 02:20:00")
with pytest.raises(pytz.NonExistentTimeError):
ts.tz_localize(tz, nonexistent="raise")
with pytest.raises(ValueError):
ts.tz_localize(tz, nonexistent="foo")
# ------------------------------------------------------------------
# Timestamp.tz_convert
@pytest.mark.parametrize(
"stamp",
[
"2014-02-01 09:00",
"2014-07-08 09:00",
"2014-11-01 17:00",
"2014-11-05 00:00",
],
)
def test_tz_convert_roundtrip(self, stamp, tz_aware_fixture):
tz = tz_aware_fixture
ts = Timestamp(stamp, tz="UTC")
converted = ts.tz_convert(tz)
reset = converted.tz_convert(None)
assert reset == Timestamp(stamp)
assert reset.tzinfo is None
assert reset == converted.tz_convert("UTC").tz_localize(None)
@pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
def test_astimezone(self, tzstr):
# astimezone is an alias for tz_convert, so keep it with
# the tz_convert tests
utcdate = Timestamp("3/11/2012 22:00", tz="UTC")
expected = utcdate.tz_convert(tzstr)
result = utcdate.astimezone(tzstr)
assert expected == result
assert isinstance(result, Timestamp)
@td.skip_if_windows
def test_tz_convert_utc_with_system_utc(self):
from pandas._libs.tslibs.timezones import maybe_get_tz
# from system utc to real utc
ts = Timestamp("2001-01-05 11:56", tz=maybe_get_tz("dateutil/UTC"))
# check that the time hasn't changed.
assert ts == ts.tz_convert(dateutil.tz.tzutc())
# from system utc to real utc
ts = Timestamp("2001-01-05 11:56", tz=maybe_get_tz("dateutil/UTC"))
# check that the time hasn't changed.
assert ts == ts.tz_convert(dateutil.tz.tzutc())
# ------------------------------------------------------------------
# Timestamp.__init__ with tz str or tzinfo
def test_timestamp_constructor_tz_utc(self):
utc_stamp = Timestamp("3/11/2012 05:00", tz="utc")
assert utc_stamp.tzinfo is pytz.utc
assert utc_stamp.hour == 5
utc_stamp = Timestamp("3/11/2012 05:00").tz_localize("utc")
assert utc_stamp.hour == 5
def test_timestamp_to_datetime_tzoffset(self):
tzinfo = tzoffset(None, 7200)
expected = Timestamp("3/11/2012 04:00", tz=tzinfo)
result = Timestamp(expected.to_pydatetime())
assert expected == result
def test_timestamp_constructor_near_dst_boundary(self):
# GH#11481 & GH#15777
# Naive string timestamps were being localized incorrectly
# with tz_convert_single instead of tz_localize_to_utc
for tz in ["Europe/Brussels", "Europe/Prague"]:
result = Timestamp("2015-10-25 01:00", tz=tz)
expected = Timestamp("2015-10-25 01:00").tz_localize(tz)
assert result == expected
with pytest.raises(pytz.AmbiguousTimeError):
Timestamp("2015-10-25 02:00", tz=tz)
result = Timestamp("2017-03-26 01:00", tz="Europe/Paris")
expected = Timestamp("2017-03-26 01:00").tz_localize("Europe/Paris")
assert result == expected
with pytest.raises(pytz.NonExistentTimeError):
Timestamp("2017-03-26 02:00", tz="Europe/Paris")
# GH#11708
naive = Timestamp("2015-11-18 10:00:00")
result = naive.tz_localize("UTC").tz_convert("Asia/Kolkata")
expected = Timestamp("2015-11-18 15:30:00+0530", tz="Asia/Kolkata")
assert result == expected
# GH#15823
result = Timestamp("2017-03-26 00:00", tz="Europe/Paris")
expected = Timestamp("2017-03-26 00:00:00+0100", tz="Europe/Paris")
assert result == expected
result = Timestamp("2017-03-26 01:00", tz="Europe/Paris")
expected = Timestamp("2017-03-26 01:00:00+0100", tz="Europe/Paris")
assert result == expected
with pytest.raises(pytz.NonExistentTimeError):
Timestamp("2017-03-26 02:00", tz="Europe/Paris")
result = Timestamp("2017-03-26 02:00:00+0100", tz="Europe/Paris")
naive = Timestamp(result.value)
expected = naive.tz_localize("UTC").tz_convert("Europe/Paris")
assert result == expected
result = Timestamp("2017-03-26 03:00", tz="Europe/Paris")
expected = Timestamp("2017-03-26 03:00:00+0200", tz="Europe/Paris")
assert result == expected
@pytest.mark.parametrize(
"tz",
[
pytz.timezone("US/Eastern"),
gettz("US/Eastern"),
"US/Eastern",
"dateutil/US/Eastern",
],
)
def test_timestamp_constructed_by_date_and_tz(self, tz):
# GH#2993, Timestamp cannot be constructed by datetime.date
# and tz correctly
result = Timestamp(date(2012, 3, 11), tz=tz)
expected = Timestamp("3/11/2012", tz=tz)
assert result.hour == expected.hour
assert result == expected
@pytest.mark.parametrize(
"tz",
[
pytz.timezone("US/Eastern"),
gettz("US/Eastern"),
"US/Eastern",
"dateutil/US/Eastern",
],
)
def test_timestamp_add_timedelta_push_over_dst_boundary(self, tz):
# GH#1389
# 4 hours before DST transition
stamp = Timestamp("3/10/2012 22:00", tz=tz)
result = stamp + timedelta(hours=6)
# spring forward, + "7" hours
expected = Timestamp("3/11/2012 05:00", tz=tz)
assert result == expected
def test_timestamp_timetz_equivalent_with_datetime_tz(self, tz_naive_fixture):
# GH21358
tz = timezones.maybe_get_tz(tz_naive_fixture)
stamp = Timestamp("2018-06-04 10:20:30", tz=tz)
_datetime = datetime(2018, 6, 4, hour=10, minute=20, second=30, tzinfo=tz)
result = stamp.timetz()
expected = _datetime.timetz()
assert result == expected

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from datetime import datetime
from dateutil.tz import gettz
import pytest
import pytz
from pytz import utc
from pandas._libs.tslibs import conversion
from pandas._libs.tslibs.frequencies import INVALID_FREQ_ERR_MSG
from pandas.compat import PY36
import pandas.util._test_decorators as td
from pandas import NaT, Timestamp
import pandas.util.testing as tm
from pandas.tseries.frequencies import to_offset
class TestTimestampUnaryOps:
# --------------------------------------------------------------
# Timestamp.round
@pytest.mark.parametrize(
"timestamp, freq, expected",
[
("20130101 09:10:11", "D", "20130101"),
("20130101 19:10:11", "D", "20130102"),
("20130201 12:00:00", "D", "20130202"),
("20130104 12:00:00", "D", "20130105"),
("2000-01-05 05:09:15.13", "D", "2000-01-05 00:00:00"),
("2000-01-05 05:09:15.13", "H", "2000-01-05 05:00:00"),
("2000-01-05 05:09:15.13", "S", "2000-01-05 05:09:15"),
],
)
def test_round_frequencies(self, timestamp, freq, expected):
dt = Timestamp(timestamp)
result = dt.round(freq)
expected = Timestamp(expected)
assert result == expected
def test_round_tzaware(self):
dt = Timestamp("20130101 09:10:11", tz="US/Eastern")
result = dt.round("D")
expected = Timestamp("20130101", tz="US/Eastern")
assert result == expected
dt = Timestamp("20130101 09:10:11", tz="US/Eastern")
result = dt.round("s")
assert result == dt
def test_round_30min(self):
# round
dt = Timestamp("20130104 12:32:00")
result = dt.round("30Min")
expected = Timestamp("20130104 12:30:00")
assert result == expected
def test_round_subsecond(self):
# GH#14440 & GH#15578
result = Timestamp("2016-10-17 12:00:00.0015").round("ms")
expected = Timestamp("2016-10-17 12:00:00.002000")
assert result == expected
result = Timestamp("2016-10-17 12:00:00.00149").round("ms")
expected = Timestamp("2016-10-17 12:00:00.001000")
assert result == expected
ts = Timestamp("2016-10-17 12:00:00.0015")
for freq in ["us", "ns"]:
assert ts == ts.round(freq)
result = Timestamp("2016-10-17 12:00:00.001501031").round("10ns")
expected = Timestamp("2016-10-17 12:00:00.001501030")
assert result == expected
def test_round_nonstandard_freq(self):
with tm.assert_produces_warning(False):
Timestamp("2016-10-17 12:00:00.001501031").round("1010ns")
def test_round_invalid_arg(self):
stamp = Timestamp("2000-01-05 05:09:15.13")
with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG):
stamp.round("foo")
@pytest.mark.parametrize(
"test_input, rounder, freq, expected",
[
("2117-01-01 00:00:45", "floor", "15s", "2117-01-01 00:00:45"),
("2117-01-01 00:00:45", "ceil", "15s", "2117-01-01 00:00:45"),
(
"2117-01-01 00:00:45.000000012",
"floor",
"10ns",
"2117-01-01 00:00:45.000000010",
),
(
"1823-01-01 00:00:01.000000012",
"ceil",
"10ns",
"1823-01-01 00:00:01.000000020",
),
("1823-01-01 00:00:01", "floor", "1s", "1823-01-01 00:00:01"),
("1823-01-01 00:00:01", "ceil", "1s", "1823-01-01 00:00:01"),
("NaT", "floor", "1s", "NaT"),
("NaT", "ceil", "1s", "NaT"),
],
)
def test_ceil_floor_edge(self, test_input, rounder, freq, expected):
dt = Timestamp(test_input)
func = getattr(dt, rounder)
result = func(freq)
if dt is NaT:
assert result is NaT
else:
expected = Timestamp(expected)
assert result == expected
@pytest.mark.parametrize(
"test_input, freq, expected",
[
("2018-01-01 00:02:06", "2s", "2018-01-01 00:02:06"),
("2018-01-01 00:02:00", "2T", "2018-01-01 00:02:00"),
("2018-01-01 00:04:00", "4T", "2018-01-01 00:04:00"),
("2018-01-01 00:15:00", "15T", "2018-01-01 00:15:00"),
("2018-01-01 00:20:00", "20T", "2018-01-01 00:20:00"),
("2018-01-01 03:00:00", "3H", "2018-01-01 03:00:00"),
],
)
@pytest.mark.parametrize("rounder", ["ceil", "floor", "round"])
def test_round_minute_freq(self, test_input, freq, expected, rounder):
# Ensure timestamps that shouldn't round dont!
# GH#21262
dt = Timestamp(test_input)
expected = Timestamp(expected)
func = getattr(dt, rounder)
result = func(freq)
assert result == expected
def test_ceil(self):
dt = Timestamp("20130101 09:10:11")
result = dt.ceil("D")
expected = Timestamp("20130102")
assert result == expected
def test_floor(self):
dt = Timestamp("20130101 09:10:11")
result = dt.floor("D")
expected = Timestamp("20130101")
assert result == expected
@pytest.mark.parametrize("method", ["ceil", "round", "floor"])
def test_round_dst_border_ambiguous(self, method):
# GH 18946 round near "fall back" DST
ts = Timestamp("2017-10-29 00:00:00", tz="UTC").tz_convert("Europe/Madrid")
#
result = getattr(ts, method)("H", ambiguous=True)
assert result == ts
result = getattr(ts, method)("H", ambiguous=False)
expected = Timestamp("2017-10-29 01:00:00", tz="UTC").tz_convert(
"Europe/Madrid"
)
assert result == expected
result = getattr(ts, method)("H", ambiguous="NaT")
assert result is NaT
with pytest.raises(pytz.AmbiguousTimeError):
getattr(ts, method)("H", ambiguous="raise")
@pytest.mark.parametrize(
"method, ts_str, freq",
[
["ceil", "2018-03-11 01:59:00-0600", "5min"],
["round", "2018-03-11 01:59:00-0600", "5min"],
["floor", "2018-03-11 03:01:00-0500", "2H"],
],
)
def test_round_dst_border_nonexistent(self, method, ts_str, freq):
# GH 23324 round near "spring forward" DST
ts = Timestamp(ts_str, tz="America/Chicago")
result = getattr(ts, method)(freq, nonexistent="shift_forward")
expected = Timestamp("2018-03-11 03:00:00", tz="America/Chicago")
assert result == expected
result = getattr(ts, method)(freq, nonexistent="NaT")
assert result is NaT
with pytest.raises(pytz.NonExistentTimeError, match="2018-03-11 02:00:00"):
getattr(ts, method)(freq, nonexistent="raise")
@pytest.mark.parametrize(
"timestamp",
[
"2018-01-01 0:0:0.124999360",
"2018-01-01 0:0:0.125000367",
"2018-01-01 0:0:0.125500",
"2018-01-01 0:0:0.126500",
"2018-01-01 12:00:00",
"2019-01-01 12:00:00",
],
)
@pytest.mark.parametrize(
"freq",
[
"2ns",
"3ns",
"4ns",
"5ns",
"6ns",
"7ns",
"250ns",
"500ns",
"750ns",
"1us",
"19us",
"250us",
"500us",
"750us",
"1s",
"2s",
"3s",
"1D",
],
)
def test_round_int64(self, timestamp, freq):
"""check that all rounding modes are accurate to int64 precision
see GH#22591
"""
dt = Timestamp(timestamp)
unit = to_offset(freq).nanos
# test floor
result = dt.floor(freq)
assert result.value % unit == 0, "floor not a {} multiple".format(freq)
assert 0 <= dt.value - result.value < unit, "floor error"
# test ceil
result = dt.ceil(freq)
assert result.value % unit == 0, "ceil not a {} multiple".format(freq)
assert 0 <= result.value - dt.value < unit, "ceil error"
# test round
result = dt.round(freq)
assert result.value % unit == 0, "round not a {} multiple".format(freq)
assert abs(result.value - dt.value) <= unit // 2, "round error"
if unit % 2 == 0 and abs(result.value - dt.value) == unit // 2:
# round half to even
assert result.value // unit % 2 == 0, "round half to even error"
# --------------------------------------------------------------
# Timestamp.replace
def test_replace_naive(self):
# GH#14621, GH#7825
ts = Timestamp("2016-01-01 09:00:00")
result = ts.replace(hour=0)
expected = Timestamp("2016-01-01 00:00:00")
assert result == expected
def test_replace_aware(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
# replacing datetime components with and w/o presence of a timezone
ts = Timestamp("2016-01-01 09:00:00", tz=tz)
result = ts.replace(hour=0)
expected = Timestamp("2016-01-01 00:00:00", tz=tz)
assert result == expected
def test_replace_preserves_nanos(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
result = ts.replace(hour=0)
expected = Timestamp("2016-01-01 00:00:00.000000123", tz=tz)
assert result == expected
def test_replace_multiple(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
# replacing datetime components with and w/o presence of a timezone
# test all
ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
result = ts.replace(
year=2015,
month=2,
day=2,
hour=0,
minute=5,
second=5,
microsecond=5,
nanosecond=5,
)
expected = Timestamp("2015-02-02 00:05:05.000005005", tz=tz)
assert result == expected
def test_replace_invalid_kwarg(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
with pytest.raises(TypeError):
ts.replace(foo=5)
def test_replace_integer_args(self, tz_aware_fixture):
tz = tz_aware_fixture
# GH#14621, GH#7825
ts = Timestamp("2016-01-01 09:00:00.000000123", tz=tz)
with pytest.raises(ValueError):
ts.replace(hour=0.1)
def test_replace_tzinfo_equiv_tz_localize_none(self):
# GH#14621, GH#7825
# assert conversion to naive is the same as replacing tzinfo with None
ts = Timestamp("2013-11-03 01:59:59.999999-0400", tz="US/Eastern")
assert ts.tz_localize(None) == ts.replace(tzinfo=None)
@td.skip_if_windows
def test_replace_tzinfo(self):
# GH#15683
dt = datetime(2016, 3, 27, 1)
tzinfo = pytz.timezone("CET").localize(dt, is_dst=False).tzinfo
result_dt = dt.replace(tzinfo=tzinfo)
result_pd = Timestamp(dt).replace(tzinfo=tzinfo)
# datetime.timestamp() converts in the local timezone
with tm.set_timezone("UTC"):
assert result_dt.timestamp() == result_pd.timestamp()
assert result_dt == result_pd
assert result_dt == result_pd.to_pydatetime()
result_dt = dt.replace(tzinfo=tzinfo).replace(tzinfo=None)
result_pd = Timestamp(dt).replace(tzinfo=tzinfo).replace(tzinfo=None)
# datetime.timestamp() converts in the local timezone
with tm.set_timezone("UTC"):
assert result_dt.timestamp() == result_pd.timestamp()
assert result_dt == result_pd
assert result_dt == result_pd.to_pydatetime()
@pytest.mark.parametrize(
"tz, normalize",
[
(pytz.timezone("US/Eastern"), lambda x: x.tzinfo.normalize(x)),
(gettz("US/Eastern"), lambda x: x),
],
)
def test_replace_across_dst(self, tz, normalize):
# GH#18319 check that 1) timezone is correctly normalized and
# 2) that hour is not incorrectly changed by this normalization
ts_naive = Timestamp("2017-12-03 16:03:30")
ts_aware = conversion.localize_pydatetime(ts_naive, tz)
# Preliminary sanity-check
assert ts_aware == normalize(ts_aware)
# Replace across DST boundary
ts2 = ts_aware.replace(month=6)
# Check that `replace` preserves hour literal
assert (ts2.hour, ts2.minute) == (ts_aware.hour, ts_aware.minute)
# Check that post-replace object is appropriately normalized
ts2b = normalize(ts2)
assert ts2 == ts2b
def test_replace_dst_border(self):
# Gh 7825
t = Timestamp("2013-11-3", tz="America/Chicago")
result = t.replace(hour=3)
expected = Timestamp("2013-11-3 03:00:00", tz="America/Chicago")
assert result == expected
@pytest.mark.skipif(not PY36, reason="Fold not available until PY3.6")
@pytest.mark.parametrize("fold", [0, 1])
@pytest.mark.parametrize("tz", ["dateutil/Europe/London", "Europe/London"])
def test_replace_dst_fold(self, fold, tz):
# GH 25017
d = datetime(2019, 10, 27, 2, 30)
ts = Timestamp(d, tz=tz)
result = ts.replace(hour=1, fold=fold)
expected = Timestamp(datetime(2019, 10, 27, 1, 30)).tz_localize(
tz, ambiguous=not fold
)
assert result == expected
# --------------------------------------------------------------
# Timestamp.normalize
@pytest.mark.parametrize("arg", ["2013-11-30", "2013-11-30 12:00:00"])
def test_normalize(self, tz_naive_fixture, arg):
tz = tz_naive_fixture
ts = Timestamp(arg, tz=tz)
result = ts.normalize()
expected = Timestamp("2013-11-30", tz=tz)
assert result == expected
# --------------------------------------------------------------
@td.skip_if_windows
def test_timestamp(self):
# GH#17329
# tz-naive --> treat it as if it were UTC for purposes of timestamp()
ts = Timestamp.now()
uts = ts.replace(tzinfo=utc)
assert ts.timestamp() == uts.timestamp()
tsc = Timestamp("2014-10-11 11:00:01.12345678", tz="US/Central")
utsc = tsc.tz_convert("UTC")
# utsc is a different representation of the same time
assert tsc.timestamp() == utsc.timestamp()
# datetime.timestamp() converts in the local timezone
with tm.set_timezone("UTC"):
# should agree with datetime.timestamp method
dt = ts.to_pydatetime()
assert dt.timestamp() == ts.timestamp()