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"""
test date_range, bdate_range construction from the convenience range functions
"""
from datetime import datetime, time, timedelta
import numpy as np
import pytest
import pytz
from pytz import timezone
from pandas._libs.tslibs import timezones
from pandas._libs.tslibs.offsets import BDay, CDay, DateOffset, MonthEnd, prefix_mapping
from pandas.errors import OutOfBoundsDatetime
import pandas.util._test_decorators as td
import pandas as pd
from pandas import DatetimeIndex, Timestamp, bdate_range, date_range, offsets
import pandas._testing as tm
from pandas.core.arrays.datetimes import generate_range
START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
class TestTimestampEquivDateRange:
# Older tests in TestTimeSeries constructed their `stamp` objects
# using `date_range` instead of the `Timestamp` constructor.
# TestTimestampEquivDateRange checks that these are equivalent in the
# pertinent cases.
def test_date_range_timestamp_equiv(self):
rng = date_range("20090415", "20090519", tz="US/Eastern")
stamp = rng[0]
ts = Timestamp("20090415", tz="US/Eastern", freq="D")
assert ts == stamp
def test_date_range_timestamp_equiv_dateutil(self):
rng = date_range("20090415", "20090519", tz="dateutil/US/Eastern")
stamp = rng[0]
ts = Timestamp("20090415", tz="dateutil/US/Eastern", freq="D")
assert ts == stamp
def test_date_range_timestamp_equiv_explicit_pytz(self):
rng = date_range("20090415", "20090519", tz=pytz.timezone("US/Eastern"))
stamp = rng[0]
ts = Timestamp("20090415", tz=pytz.timezone("US/Eastern"), freq="D")
assert ts == stamp
@td.skip_if_windows_python_3
def test_date_range_timestamp_equiv_explicit_dateutil(self):
from pandas._libs.tslibs.timezones import dateutil_gettz as gettz
rng = date_range("20090415", "20090519", tz=gettz("US/Eastern"))
stamp = rng[0]
ts = Timestamp("20090415", tz=gettz("US/Eastern"), freq="D")
assert ts == stamp
def test_date_range_timestamp_equiv_from_datetime_instance(self):
datetime_instance = datetime(2014, 3, 4)
# build a timestamp with a frequency, since then it supports
# addition/subtraction of integers
timestamp_instance = date_range(datetime_instance, periods=1, freq="D")[0]
ts = Timestamp(datetime_instance, freq="D")
assert ts == timestamp_instance
def test_date_range_timestamp_equiv_preserve_frequency(self):
timestamp_instance = date_range("2014-03-05", periods=1, freq="D")[0]
ts = Timestamp("2014-03-05", freq="D")
assert timestamp_instance == ts
class TestDateRanges:
def test_date_range_nat(self):
# GH#11587
msg = "Neither `start` nor `end` can be NaT"
with pytest.raises(ValueError, match=msg):
date_range(start="2016-01-01", end=pd.NaT, freq="D")
with pytest.raises(ValueError, match=msg):
date_range(start=pd.NaT, end="2016-01-01", freq="D")
def test_date_range_multiplication_overflow(self):
# GH#24255
# check that overflows in calculating `addend = periods * stride`
# are caught
with tm.assert_produces_warning(None):
# we should _not_ be seeing a overflow RuntimeWarning
dti = date_range(start="1677-09-22", periods=213503, freq="D")
assert dti[0] == Timestamp("1677-09-22")
assert len(dti) == 213503
msg = "Cannot generate range with"
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range("1969-05-04", periods=200000000, freq="30000D")
def test_date_range_unsigned_overflow_handling(self):
# GH#24255
# case where `addend = periods * stride` overflows int64 bounds
# but not uint64 bounds
dti = date_range(start="1677-09-22", end="2262-04-11", freq="D")
dti2 = date_range(start=dti[0], periods=len(dti), freq="D")
assert dti2.equals(dti)
dti3 = date_range(end=dti[-1], periods=len(dti), freq="D")
assert dti3.equals(dti)
def test_date_range_int64_overflow_non_recoverable(self):
# GH#24255
# case with start later than 1970-01-01, overflow int64 but not uint64
msg = "Cannot generate range with"
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range(start="1970-02-01", periods=106752 * 24, freq="H")
# case with end before 1970-01-01, overflow int64 but not uint64
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range(end="1969-11-14", periods=106752 * 24, freq="H")
def test_date_range_int64_overflow_stride_endpoint_different_signs(self):
# cases where stride * periods overflow int64 and stride/endpoint
# have different signs
start = Timestamp("2262-02-23")
end = Timestamp("1969-11-14")
expected = date_range(start=start, end=end, freq="-1H")
assert expected[0] == start
assert expected[-1] == end
dti = date_range(end=end, periods=len(expected), freq="-1H")
tm.assert_index_equal(dti, expected)
start2 = Timestamp("1970-02-01")
end2 = Timestamp("1677-10-22")
expected2 = date_range(start=start2, end=end2, freq="-1H")
assert expected2[0] == start2
assert expected2[-1] == end2
dti2 = date_range(start=start2, periods=len(expected2), freq="-1H")
tm.assert_index_equal(dti2, expected2)
def test_date_range_out_of_bounds(self):
# GH#14187
msg = "Cannot generate range"
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range("2016-01-01", periods=100000, freq="D")
with pytest.raises(OutOfBoundsDatetime, match=msg):
date_range(end="1763-10-12", periods=100000, freq="D")
def test_date_range_gen_error(self):
rng = date_range("1/1/2000 00:00", "1/1/2000 00:18", freq="5min")
assert len(rng) == 4
@pytest.mark.parametrize("freq", ["AS", "YS"])
def test_begin_year_alias(self, freq):
# see gh-9313
rng = date_range("1/1/2013", "7/1/2017", freq=freq)
exp = pd.DatetimeIndex(
["2013-01-01", "2014-01-01", "2015-01-01", "2016-01-01", "2017-01-01"],
freq=freq,
)
tm.assert_index_equal(rng, exp)
@pytest.mark.parametrize("freq", ["A", "Y"])
def test_end_year_alias(self, freq):
# see gh-9313
rng = date_range("1/1/2013", "7/1/2017", freq=freq)
exp = pd.DatetimeIndex(
["2013-12-31", "2014-12-31", "2015-12-31", "2016-12-31"], freq=freq
)
tm.assert_index_equal(rng, exp)
@pytest.mark.parametrize("freq", ["BA", "BY"])
def test_business_end_year_alias(self, freq):
# see gh-9313
rng = date_range("1/1/2013", "7/1/2017", freq=freq)
exp = pd.DatetimeIndex(
["2013-12-31", "2014-12-31", "2015-12-31", "2016-12-30"], freq=freq
)
tm.assert_index_equal(rng, exp)
def test_date_range_negative_freq(self):
# GH 11018
rng = date_range("2011-12-31", freq="-2A", periods=3)
exp = pd.DatetimeIndex(["2011-12-31", "2009-12-31", "2007-12-31"], freq="-2A")
tm.assert_index_equal(rng, exp)
assert rng.freq == "-2A"
rng = date_range("2011-01-31", freq="-2M", periods=3)
exp = pd.DatetimeIndex(["2011-01-31", "2010-11-30", "2010-09-30"], freq="-2M")
tm.assert_index_equal(rng, exp)
assert rng.freq == "-2M"
def test_date_range_bms_bug(self):
# #1645
rng = date_range("1/1/2000", periods=10, freq="BMS")
ex_first = Timestamp("2000-01-03")
assert rng[0] == ex_first
def test_date_range_normalize(self):
snap = datetime.today()
n = 50
rng = date_range(snap, periods=n, normalize=False, freq="2D")
offset = timedelta(2)
values = DatetimeIndex([snap + i * offset for i in range(n)], freq=offset)
tm.assert_index_equal(rng, values)
rng = date_range("1/1/2000 08:15", periods=n, normalize=False, freq="B")
the_time = time(8, 15)
for val in rng:
assert val.time() == the_time
def test_date_range_fy5252(self):
dr = date_range(
start="2013-01-01",
periods=2,
freq=offsets.FY5253(startingMonth=1, weekday=3, variation="nearest"),
)
assert dr[0] == Timestamp("2013-01-31")
assert dr[1] == Timestamp("2014-01-30")
def test_date_range_ambiguous_arguments(self):
# #2538
start = datetime(2011, 1, 1, 5, 3, 40)
end = datetime(2011, 1, 1, 8, 9, 40)
msg = (
"Of the four parameters: start, end, periods, and "
"freq, exactly three must be specified"
)
with pytest.raises(ValueError, match=msg):
date_range(start, end, periods=10, freq="s")
def test_date_range_convenience_periods(self):
# GH 20808
result = date_range("2018-04-24", "2018-04-27", periods=3)
expected = DatetimeIndex(
["2018-04-24 00:00:00", "2018-04-25 12:00:00", "2018-04-27 00:00:00"],
freq=None,
)
tm.assert_index_equal(result, expected)
# Test if spacing remains linear if tz changes to dst in range
result = date_range(
"2018-04-01 01:00:00",
"2018-04-01 04:00:00",
tz="Australia/Sydney",
periods=3,
)
expected = DatetimeIndex(
[
Timestamp("2018-04-01 01:00:00+1100", tz="Australia/Sydney"),
Timestamp("2018-04-01 02:00:00+1000", tz="Australia/Sydney"),
Timestamp("2018-04-01 04:00:00+1000", tz="Australia/Sydney"),
]
)
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize(
"start,end,result_tz",
[
["20180101", "20180103", "US/Eastern"],
[datetime(2018, 1, 1), datetime(2018, 1, 3), "US/Eastern"],
[Timestamp("20180101"), Timestamp("20180103"), "US/Eastern"],
[
Timestamp("20180101", tz="US/Eastern"),
Timestamp("20180103", tz="US/Eastern"),
"US/Eastern",
],
[
Timestamp("20180101", tz="US/Eastern"),
Timestamp("20180103", tz="US/Eastern"),
None,
],
],
)
def test_date_range_linspacing_tz(self, start, end, result_tz):
# GH 20983
result = date_range(start, end, periods=3, tz=result_tz)
expected = date_range("20180101", periods=3, freq="D", tz="US/Eastern")
tm.assert_index_equal(result, expected)
def test_date_range_businesshour(self):
idx = DatetimeIndex(
[
"2014-07-04 09:00",
"2014-07-04 10:00",
"2014-07-04 11:00",
"2014-07-04 12:00",
"2014-07-04 13:00",
"2014-07-04 14:00",
"2014-07-04 15:00",
"2014-07-04 16:00",
],
freq="BH",
)
rng = date_range("2014-07-04 09:00", "2014-07-04 16:00", freq="BH")
tm.assert_index_equal(idx, rng)
idx = DatetimeIndex(["2014-07-04 16:00", "2014-07-07 09:00"], freq="BH")
rng = date_range("2014-07-04 16:00", "2014-07-07 09:00", freq="BH")
tm.assert_index_equal(idx, rng)
idx = DatetimeIndex(
[
"2014-07-04 09:00",
"2014-07-04 10:00",
"2014-07-04 11:00",
"2014-07-04 12:00",
"2014-07-04 13:00",
"2014-07-04 14:00",
"2014-07-04 15:00",
"2014-07-04 16:00",
"2014-07-07 09:00",
"2014-07-07 10:00",
"2014-07-07 11:00",
"2014-07-07 12:00",
"2014-07-07 13:00",
"2014-07-07 14:00",
"2014-07-07 15:00",
"2014-07-07 16:00",
"2014-07-08 09:00",
"2014-07-08 10:00",
"2014-07-08 11:00",
"2014-07-08 12:00",
"2014-07-08 13:00",
"2014-07-08 14:00",
"2014-07-08 15:00",
"2014-07-08 16:00",
],
freq="BH",
)
rng = date_range("2014-07-04 09:00", "2014-07-08 16:00", freq="BH")
tm.assert_index_equal(idx, rng)
def test_range_misspecified(self):
# GH #1095
msg = (
"Of the four parameters: start, end, periods, and "
"freq, exactly three must be specified"
)
with pytest.raises(ValueError, match=msg):
date_range(start="1/1/2000")
with pytest.raises(ValueError, match=msg):
date_range(end="1/1/2000")
with pytest.raises(ValueError, match=msg):
date_range(periods=10)
with pytest.raises(ValueError, match=msg):
date_range(start="1/1/2000", freq="H")
with pytest.raises(ValueError, match=msg):
date_range(end="1/1/2000", freq="H")
with pytest.raises(ValueError, match=msg):
date_range(periods=10, freq="H")
with pytest.raises(ValueError, match=msg):
date_range()
def test_compat_replace(self):
# https://github.com/statsmodels/statsmodels/issues/3349
# replace should take ints/longs for compat
result = date_range(
Timestamp("1960-04-01 00:00:00", freq="QS-JAN"), periods=76, freq="QS-JAN"
)
assert len(result) == 76
def test_catch_infinite_loop(self):
offset = offsets.DateOffset(minute=5)
# blow up, don't loop forever
msg = "Offset <DateOffset: minute=5> did not increment date"
with pytest.raises(ValueError, match=msg):
date_range(datetime(2011, 11, 11), datetime(2011, 11, 12), freq=offset)
@pytest.mark.parametrize("periods", (1, 2))
def test_wom_len(self, periods):
# https://github.com/pandas-dev/pandas/issues/20517
res = date_range(start="20110101", periods=periods, freq="WOM-1MON")
assert len(res) == periods
def test_construct_over_dst(self):
# GH 20854
pre_dst = Timestamp("2010-11-07 01:00:00").tz_localize(
"US/Pacific", ambiguous=True
)
pst_dst = Timestamp("2010-11-07 01:00:00").tz_localize(
"US/Pacific", ambiguous=False
)
expect_data = [
Timestamp("2010-11-07 00:00:00", tz="US/Pacific"),
pre_dst,
pst_dst,
]
expected = DatetimeIndex(expect_data, freq="H")
result = date_range(start="2010-11-7", periods=3, freq="H", tz="US/Pacific")
tm.assert_index_equal(result, expected)
def test_construct_with_different_start_end_string_format(self):
# GH 12064
result = date_range(
"2013-01-01 00:00:00+09:00", "2013/01/01 02:00:00+09:00", freq="H"
)
expected = DatetimeIndex(
[
Timestamp("2013-01-01 00:00:00+09:00"),
Timestamp("2013-01-01 01:00:00+09:00"),
Timestamp("2013-01-01 02:00:00+09:00"),
],
freq="H",
)
tm.assert_index_equal(result, expected)
def test_error_with_zero_monthends(self):
msg = r"Offset <0 \* MonthEnds> did not increment date"
with pytest.raises(ValueError, match=msg):
date_range("1/1/2000", "1/1/2001", freq=MonthEnd(0))
def test_range_bug(self):
# GH #770
offset = DateOffset(months=3)
result = date_range("2011-1-1", "2012-1-31", freq=offset)
start = datetime(2011, 1, 1)
expected = DatetimeIndex([start + i * offset for i in range(5)], freq=offset)
tm.assert_index_equal(result, expected)
def test_range_tz_pytz(self):
# see gh-2906
tz = timezone("US/Eastern")
start = tz.localize(datetime(2011, 1, 1))
end = tz.localize(datetime(2011, 1, 3))
dr = date_range(start=start, periods=3)
assert dr.tz.zone == tz.zone
assert dr[0] == start
assert dr[2] == end
dr = date_range(end=end, periods=3)
assert dr.tz.zone == tz.zone
assert dr[0] == start
assert dr[2] == end
dr = date_range(start=start, end=end)
assert dr.tz.zone == tz.zone
assert dr[0] == start
assert dr[2] == end
@pytest.mark.parametrize(
"start, end",
[
[
Timestamp(datetime(2014, 3, 6), tz="US/Eastern"),
Timestamp(datetime(2014, 3, 12), tz="US/Eastern"),
],
[
Timestamp(datetime(2013, 11, 1), tz="US/Eastern"),
Timestamp(datetime(2013, 11, 6), tz="US/Eastern"),
],
],
)
def test_range_tz_dst_straddle_pytz(self, start, end):
dr = date_range(start, end, freq="D")
assert dr[0] == start
assert dr[-1] == end
assert np.all(dr.hour == 0)
dr = date_range(start, end, freq="D", tz="US/Eastern")
assert dr[0] == start
assert dr[-1] == end
assert np.all(dr.hour == 0)
dr = date_range(
start.replace(tzinfo=None),
end.replace(tzinfo=None),
freq="D",
tz="US/Eastern",
)
assert dr[0] == start
assert dr[-1] == end
assert np.all(dr.hour == 0)
def test_range_tz_dateutil(self):
# see gh-2906
# Use maybe_get_tz to fix filename in tz under dateutil.
from pandas._libs.tslibs.timezones import maybe_get_tz
tz = lambda x: maybe_get_tz("dateutil/" + x)
start = datetime(2011, 1, 1, tzinfo=tz("US/Eastern"))
end = datetime(2011, 1, 3, tzinfo=tz("US/Eastern"))
dr = date_range(start=start, periods=3)
assert dr.tz == tz("US/Eastern")
assert dr[0] == start
assert dr[2] == end
dr = date_range(end=end, periods=3)
assert dr.tz == tz("US/Eastern")
assert dr[0] == start
assert dr[2] == end
dr = date_range(start=start, end=end)
assert dr.tz == tz("US/Eastern")
assert dr[0] == start
assert dr[2] == end
@pytest.mark.parametrize("freq", ["1D", "3D", "2M", "7W", "3H", "A"])
def test_range_closed(self, freq):
begin = datetime(2011, 1, 1)
end = datetime(2014, 1, 1)
closed = date_range(begin, end, closed=None, freq=freq)
left = date_range(begin, end, closed="left", freq=freq)
right = date_range(begin, end, closed="right", freq=freq)
expected_left = left
expected_right = right
if end == closed[-1]:
expected_left = closed[:-1]
if begin == closed[0]:
expected_right = closed[1:]
tm.assert_index_equal(expected_left, left)
tm.assert_index_equal(expected_right, right)
def test_range_closed_with_tz_aware_start_end(self):
# GH12409, GH12684
begin = Timestamp("2011/1/1", tz="US/Eastern")
end = Timestamp("2014/1/1", tz="US/Eastern")
for freq in ["1D", "3D", "2M", "7W", "3H", "A"]:
closed = date_range(begin, end, closed=None, freq=freq)
left = date_range(begin, end, closed="left", freq=freq)
right = date_range(begin, end, closed="right", freq=freq)
expected_left = left
expected_right = right
if end == closed[-1]:
expected_left = closed[:-1]
if begin == closed[0]:
expected_right = closed[1:]
tm.assert_index_equal(expected_left, left)
tm.assert_index_equal(expected_right, right)
begin = Timestamp("2011/1/1")
end = Timestamp("2014/1/1")
begintz = Timestamp("2011/1/1", tz="US/Eastern")
endtz = Timestamp("2014/1/1", tz="US/Eastern")
for freq in ["1D", "3D", "2M", "7W", "3H", "A"]:
closed = date_range(begin, end, closed=None, freq=freq, tz="US/Eastern")
left = date_range(begin, end, closed="left", freq=freq, tz="US/Eastern")
right = date_range(begin, end, closed="right", freq=freq, tz="US/Eastern")
expected_left = left
expected_right = right
if endtz == closed[-1]:
expected_left = closed[:-1]
if begintz == closed[0]:
expected_right = closed[1:]
tm.assert_index_equal(expected_left, left)
tm.assert_index_equal(expected_right, right)
@pytest.mark.parametrize("closed", ["right", "left", None])
def test_range_closed_boundary(self, closed):
# GH#11804
right_boundary = date_range(
"2015-09-12", "2015-12-01", freq="QS-MAR", closed=closed
)
left_boundary = date_range(
"2015-09-01", "2015-09-12", freq="QS-MAR", closed=closed
)
both_boundary = date_range(
"2015-09-01", "2015-12-01", freq="QS-MAR", closed=closed
)
expected_right = expected_left = expected_both = both_boundary
if closed == "right":
expected_left = both_boundary[1:]
if closed == "left":
expected_right = both_boundary[:-1]
if closed is None:
expected_right = both_boundary[1:]
expected_left = both_boundary[:-1]
tm.assert_index_equal(right_boundary, expected_right)
tm.assert_index_equal(left_boundary, expected_left)
tm.assert_index_equal(both_boundary, expected_both)
def test_years_only(self):
# GH 6961
dr = date_range("2014", "2015", freq="M")
assert dr[0] == datetime(2014, 1, 31)
assert dr[-1] == datetime(2014, 12, 31)
def test_freq_divides_end_in_nanos(self):
# GH 10885
result_1 = date_range("2005-01-12 10:00", "2005-01-12 16:00", freq="345min")
result_2 = date_range("2005-01-13 10:00", "2005-01-13 16:00", freq="345min")
expected_1 = DatetimeIndex(
["2005-01-12 10:00:00", "2005-01-12 15:45:00"],
dtype="datetime64[ns]",
freq="345T",
tz=None,
)
expected_2 = DatetimeIndex(
["2005-01-13 10:00:00", "2005-01-13 15:45:00"],
dtype="datetime64[ns]",
freq="345T",
tz=None,
)
tm.assert_index_equal(result_1, expected_1)
tm.assert_index_equal(result_2, expected_2)
def test_cached_range_bug(self):
rng = date_range("2010-09-01 05:00:00", periods=50, freq=DateOffset(hours=6))
assert len(rng) == 50
assert rng[0] == datetime(2010, 9, 1, 5)
def test_timezone_comparaison_bug(self):
# smoke test
start = Timestamp("20130220 10:00", tz="US/Eastern")
result = date_range(start, periods=2, tz="US/Eastern")
assert len(result) == 2
def test_timezone_comparaison_assert(self):
start = Timestamp("20130220 10:00", tz="US/Eastern")
msg = "Inferred time zone not equal to passed time zone"
with pytest.raises(AssertionError, match=msg):
date_range(start, periods=2, tz="Europe/Berlin")
def test_negative_non_tick_frequency_descending_dates(self, tz_aware_fixture):
# GH 23270
tz = tz_aware_fixture
result = pd.date_range(start="2011-06-01", end="2011-01-01", freq="-1MS", tz=tz)
expected = pd.date_range(
end="2011-06-01", start="2011-01-01", freq="1MS", tz=tz
)[::-1]
tm.assert_index_equal(result, expected)
class TestDateRangeTZ:
"""Tests for date_range with timezones"""
def test_hongkong_tz_convert(self):
# GH#1673 smoke test
dr = date_range("2012-01-01", "2012-01-10", freq="D", tz="Hongkong")
# it works!
dr.hour
@pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
def test_date_range_span_dst_transition(self, tzstr):
# GH#1778
# Standard -> Daylight Savings Time
dr = date_range("03/06/2012 00:00", periods=200, freq="W-FRI", tz="US/Eastern")
assert (dr.hour == 0).all()
dr = date_range("2012-11-02", periods=10, tz=tzstr)
result = dr.hour
expected = pd.Index([0] * 10)
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
def test_date_range_timezone_str_argument(self, tzstr):
tz = timezones.maybe_get_tz(tzstr)
result = date_range("1/1/2000", periods=10, tz=tzstr)
expected = date_range("1/1/2000", periods=10, tz=tz)
tm.assert_index_equal(result, expected)
def test_date_range_with_fixedoffset_noname(self):
from pandas.tests.indexes.datetimes.test_timezones import fixed_off_no_name
off = fixed_off_no_name
start = datetime(2012, 3, 11, 5, 0, 0, tzinfo=off)
end = datetime(2012, 6, 11, 5, 0, 0, tzinfo=off)
rng = date_range(start=start, end=end)
assert off == rng.tz
idx = pd.Index([start, end])
assert off == idx.tz
@pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
def test_date_range_with_tz(self, tzstr):
stamp = Timestamp("3/11/2012 05:00", tz=tzstr)
assert stamp.hour == 5
rng = date_range("3/11/2012 04:00", periods=10, freq="H", tz=tzstr)
assert stamp == rng[1]
class TestGenRangeGeneration:
def test_generate(self):
rng1 = list(generate_range(START, END, offset=BDay()))
rng2 = list(generate_range(START, END, offset="B"))
assert rng1 == rng2
def test_generate_cday(self):
rng1 = list(generate_range(START, END, offset=CDay()))
rng2 = list(generate_range(START, END, offset="C"))
assert rng1 == rng2
def test_1(self):
rng = list(generate_range(start=datetime(2009, 3, 25), periods=2))
expected = [datetime(2009, 3, 25), datetime(2009, 3, 26)]
assert rng == expected
def test_2(self):
rng = list(generate_range(start=datetime(2008, 1, 1), end=datetime(2008, 1, 3)))
expected = [datetime(2008, 1, 1), datetime(2008, 1, 2), datetime(2008, 1, 3)]
assert rng == expected
def test_3(self):
rng = list(generate_range(start=datetime(2008, 1, 5), end=datetime(2008, 1, 6)))
expected = []
assert rng == expected
def test_precision_finer_than_offset(self):
# GH#9907
result1 = pd.date_range(
start="2015-04-15 00:00:03", end="2016-04-22 00:00:00", freq="Q"
)
result2 = pd.date_range(
start="2015-04-15 00:00:03", end="2015-06-22 00:00:04", freq="W"
)
expected1_list = [
"2015-06-30 00:00:03",
"2015-09-30 00:00:03",
"2015-12-31 00:00:03",
"2016-03-31 00:00:03",
]
expected2_list = [
"2015-04-19 00:00:03",
"2015-04-26 00:00:03",
"2015-05-03 00:00:03",
"2015-05-10 00:00:03",
"2015-05-17 00:00:03",
"2015-05-24 00:00:03",
"2015-05-31 00:00:03",
"2015-06-07 00:00:03",
"2015-06-14 00:00:03",
"2015-06-21 00:00:03",
]
expected1 = DatetimeIndex(
expected1_list, dtype="datetime64[ns]", freq="Q-DEC", tz=None
)
expected2 = DatetimeIndex(
expected2_list, dtype="datetime64[ns]", freq="W-SUN", tz=None
)
tm.assert_index_equal(result1, expected1)
tm.assert_index_equal(result2, expected2)
dt1, dt2 = "2017-01-01", "2017-01-01"
tz1, tz2 = "US/Eastern", "Europe/London"
@pytest.mark.parametrize(
"start,end",
[
(pd.Timestamp(dt1, tz=tz1), pd.Timestamp(dt2)),
(pd.Timestamp(dt1), pd.Timestamp(dt2, tz=tz2)),
(pd.Timestamp(dt1, tz=tz1), pd.Timestamp(dt2, tz=tz2)),
(pd.Timestamp(dt1, tz=tz2), pd.Timestamp(dt2, tz=tz1)),
],
)
def test_mismatching_tz_raises_err(self, start, end):
# issue 18488
msg = "Start and end cannot both be tz-aware with different timezones"
with pytest.raises(TypeError, match=msg):
pd.date_range(start, end)
with pytest.raises(TypeError, match=msg):
pd.date_range(start, end, freq=BDay())
class TestBusinessDateRange:
def test_constructor(self):
bdate_range(START, END, freq=BDay())
bdate_range(START, periods=20, freq=BDay())
bdate_range(end=START, periods=20, freq=BDay())
msg = "periods must be a number, got B"
with pytest.raises(TypeError, match=msg):
date_range("2011-1-1", "2012-1-1", "B")
with pytest.raises(TypeError, match=msg):
bdate_range("2011-1-1", "2012-1-1", "B")
msg = "freq must be specified for bdate_range; use date_range instead"
with pytest.raises(TypeError, match=msg):
bdate_range(START, END, periods=10, freq=None)
def test_misc(self):
end = datetime(2009, 5, 13)
dr = bdate_range(end=end, periods=20)
firstDate = end - 19 * BDay()
assert len(dr) == 20
assert dr[0] == firstDate
assert dr[-1] == end
def test_date_parse_failure(self):
badly_formed_date = "2007/100/1"
msg = "could not convert string to Timestamp"
with pytest.raises(ValueError, match=msg):
Timestamp(badly_formed_date)
with pytest.raises(ValueError, match=msg):
bdate_range(start=badly_formed_date, periods=10)
with pytest.raises(ValueError, match=msg):
bdate_range(end=badly_formed_date, periods=10)
with pytest.raises(ValueError, match=msg):
bdate_range(badly_formed_date, badly_formed_date)
def test_daterange_bug_456(self):
# GH #456
rng1 = bdate_range("12/5/2011", "12/5/2011")
rng2 = bdate_range("12/2/2011", "12/5/2011")
assert rng2._data.freq == BDay()
result = rng1.union(rng2)
assert isinstance(result, DatetimeIndex)
@pytest.mark.parametrize("closed", ["left", "right"])
def test_bdays_and_open_boundaries(self, closed):
# GH 6673
start = "2018-07-21" # Saturday
end = "2018-07-29" # Sunday
result = pd.date_range(start, end, freq="B", closed=closed)
bday_start = "2018-07-23" # Monday
bday_end = "2018-07-27" # Friday
expected = pd.date_range(bday_start, bday_end, freq="D")
tm.assert_index_equal(result, expected)
# Note: we do _not_ expect the freqs to match here
def test_bday_near_overflow(self):
# GH#24252 avoid doing unnecessary addition that _would_ overflow
start = pd.Timestamp.max.floor("D").to_pydatetime()
rng = pd.date_range(start, end=None, periods=1, freq="B")
expected = pd.DatetimeIndex([start], freq="B")
tm.assert_index_equal(rng, expected)
def test_bday_overflow_error(self):
# GH#24252 check that we get OutOfBoundsDatetime and not OverflowError
msg = "Out of bounds nanosecond timestamp"
start = pd.Timestamp.max.floor("D").to_pydatetime()
with pytest.raises(OutOfBoundsDatetime, match=msg):
pd.date_range(start, periods=2, freq="B")
class TestCustomDateRange:
def test_constructor(self):
bdate_range(START, END, freq=CDay())
bdate_range(START, periods=20, freq=CDay())
bdate_range(end=START, periods=20, freq=CDay())
msg = "periods must be a number, got C"
with pytest.raises(TypeError, match=msg):
date_range("2011-1-1", "2012-1-1", "C")
with pytest.raises(TypeError, match=msg):
bdate_range("2011-1-1", "2012-1-1", "C")
def test_misc(self):
end = datetime(2009, 5, 13)
dr = bdate_range(end=end, periods=20, freq="C")
firstDate = end - 19 * CDay()
assert len(dr) == 20
assert dr[0] == firstDate
assert dr[-1] == end
def test_daterange_bug_456(self):
# GH #456
rng1 = bdate_range("12/5/2011", "12/5/2011", freq="C")
rng2 = bdate_range("12/2/2011", "12/5/2011", freq="C")
assert rng2._data.freq == CDay()
result = rng1.union(rng2)
assert isinstance(result, DatetimeIndex)
def test_cdaterange(self):
result = bdate_range("2013-05-01", periods=3, freq="C")
expected = DatetimeIndex(["2013-05-01", "2013-05-02", "2013-05-03"], freq="C")
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
def test_cdaterange_weekmask(self):
result = bdate_range(
"2013-05-01", periods=3, freq="C", weekmask="Sun Mon Tue Wed Thu"
)
expected = DatetimeIndex(
["2013-05-01", "2013-05-02", "2013-05-05"], freq=result.freq
)
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
# raise with non-custom freq
msg = (
"a custom frequency string is required when holidays or "
"weekmask are passed, got frequency B"
)
with pytest.raises(ValueError, match=msg):
bdate_range("2013-05-01", periods=3, weekmask="Sun Mon Tue Wed Thu")
def test_cdaterange_holidays(self):
result = bdate_range("2013-05-01", periods=3, freq="C", holidays=["2013-05-01"])
expected = DatetimeIndex(
["2013-05-02", "2013-05-03", "2013-05-06"], freq=result.freq
)
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
# raise with non-custom freq
msg = (
"a custom frequency string is required when holidays or "
"weekmask are passed, got frequency B"
)
with pytest.raises(ValueError, match=msg):
bdate_range("2013-05-01", periods=3, holidays=["2013-05-01"])
def test_cdaterange_weekmask_and_holidays(self):
result = bdate_range(
"2013-05-01",
periods=3,
freq="C",
weekmask="Sun Mon Tue Wed Thu",
holidays=["2013-05-01"],
)
expected = DatetimeIndex(
["2013-05-02", "2013-05-05", "2013-05-06"], freq=result.freq
)
tm.assert_index_equal(result, expected)
assert result.freq == expected.freq
# raise with non-custom freq
msg = (
"a custom frequency string is required when holidays or "
"weekmask are passed, got frequency B"
)
with pytest.raises(ValueError, match=msg):
bdate_range(
"2013-05-01",
periods=3,
weekmask="Sun Mon Tue Wed Thu",
holidays=["2013-05-01"],
)
@pytest.mark.parametrize(
"freq", [freq for freq in prefix_mapping if freq.startswith("C")]
)
def test_all_custom_freq(self, freq):
# should not raise
bdate_range(
START, END, freq=freq, weekmask="Mon Wed Fri", holidays=["2009-03-14"]
)
bad_freq = freq + "FOO"
msg = f"invalid custom frequency string: {bad_freq}"
with pytest.raises(ValueError, match=msg):
bdate_range(START, END, freq=bad_freq)
@pytest.mark.parametrize(
"start_end",
[
("2018-01-01T00:00:01.000Z", "2018-01-03T00:00:01.000Z"),
("2018-01-01T00:00:00.010Z", "2018-01-03T00:00:00.010Z"),
("2001-01-01T00:00:00.010Z", "2001-01-03T00:00:00.010Z"),
],
)
def test_range_with_millisecond_resolution(self, start_end):
# https://github.com/pandas-dev/pandas/issues/24110
start, end = start_end
result = pd.date_range(start=start, end=end, periods=2, closed="left")
expected = DatetimeIndex([start])
tm.assert_index_equal(result, expected)
def test_date_range_with_custom_holidays():
# GH 30593
freq = pd.offsets.CustomBusinessHour(start="15:00", holidays=["2020-11-26"])
result = pd.date_range(start="2020-11-25 15:00", periods=4, freq=freq)
expected = pd.DatetimeIndex(
[
"2020-11-25 15:00:00",
"2020-11-25 16:00:00",
"2020-11-27 15:00:00",
"2020-11-27 16:00:00",
],
freq=freq,
)
tm.assert_index_equal(result, expected)