1259 lines
43 KiB
Python
1259 lines
43 KiB
Python
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"""
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test date_range, bdate_range construction from the convenience range functions
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"""
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from datetime import (
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datetime,
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time,
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timedelta,
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)
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import numpy as np
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import pytest
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import pytz
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from pytz import timezone
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from pandas._libs.tslibs import timezones
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from pandas._libs.tslibs.offsets import (
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BDay,
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CDay,
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DateOffset,
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MonthEnd,
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prefix_mapping,
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)
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from pandas.errors import OutOfBoundsDatetime
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import pandas.util._test_decorators as td
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import pandas as pd
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from pandas import (
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DatetimeIndex,
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Timedelta,
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Timestamp,
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bdate_range,
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date_range,
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offsets,
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)
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import pandas._testing as tm
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from pandas.core.arrays.datetimes import _generate_range as generate_range
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START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
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def _get_expected_range(
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begin_to_match,
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end_to_match,
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both_range,
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inclusive_endpoints,
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):
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"""Helper to get expected range from a both inclusive range"""
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left_match = begin_to_match == both_range[0]
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right_match = end_to_match == both_range[-1]
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if inclusive_endpoints == "left" and right_match:
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expected_range = both_range[:-1]
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elif inclusive_endpoints == "right" and left_match:
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expected_range = both_range[1:]
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elif inclusive_endpoints == "neither" and left_match and right_match:
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expected_range = both_range[1:-1]
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elif inclusive_endpoints == "neither" and right_match:
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expected_range = both_range[:-1]
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elif inclusive_endpoints == "neither" and left_match:
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expected_range = both_range[1:]
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elif inclusive_endpoints == "both":
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expected_range = both_range[:]
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else:
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expected_range = both_range[:]
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return expected_range
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class TestTimestampEquivDateRange:
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# Older tests in TestTimeSeries constructed their `stamp` objects
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# using `date_range` instead of the `Timestamp` constructor.
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# TestTimestampEquivDateRange checks that these are equivalent in the
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# pertinent cases.
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def test_date_range_timestamp_equiv(self):
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rng = date_range("20090415", "20090519", tz="US/Eastern")
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stamp = rng[0]
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ts = Timestamp("20090415", tz="US/Eastern")
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assert ts == stamp
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def test_date_range_timestamp_equiv_dateutil(self):
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rng = date_range("20090415", "20090519", tz="dateutil/US/Eastern")
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stamp = rng[0]
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ts = Timestamp("20090415", tz="dateutil/US/Eastern")
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assert ts == stamp
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def test_date_range_timestamp_equiv_explicit_pytz(self):
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rng = date_range("20090415", "20090519", tz=pytz.timezone("US/Eastern"))
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stamp = rng[0]
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ts = Timestamp("20090415", tz=pytz.timezone("US/Eastern"))
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assert ts == stamp
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@td.skip_if_windows
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def test_date_range_timestamp_equiv_explicit_dateutil(self):
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from pandas._libs.tslibs.timezones import dateutil_gettz as gettz
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rng = date_range("20090415", "20090519", tz=gettz("US/Eastern"))
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stamp = rng[0]
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ts = Timestamp("20090415", tz=gettz("US/Eastern"))
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assert ts == stamp
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def test_date_range_timestamp_equiv_from_datetime_instance(self):
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datetime_instance = datetime(2014, 3, 4)
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# build a timestamp with a frequency, since then it supports
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# addition/subtraction of integers
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timestamp_instance = date_range(datetime_instance, periods=1, freq="D")[0]
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ts = Timestamp(datetime_instance)
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assert ts == timestamp_instance
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def test_date_range_timestamp_equiv_preserve_frequency(self):
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timestamp_instance = date_range("2014-03-05", periods=1, freq="D")[0]
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ts = Timestamp("2014-03-05")
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assert timestamp_instance == ts
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class TestDateRanges:
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@pytest.mark.parametrize("freq", ["N", "U", "L", "T", "S", "H", "D"])
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def test_date_range_edges(self, freq):
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# GH#13672
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td = Timedelta(f"1{freq}")
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ts = Timestamp("1970-01-01")
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idx = date_range(
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start=ts + td,
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end=ts + 4 * td,
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freq=freq,
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)
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exp = DatetimeIndex(
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[ts + n * td for n in range(1, 5)],
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freq=freq,
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)
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tm.assert_index_equal(idx, exp)
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# start after end
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idx = date_range(
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start=ts + 4 * td,
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end=ts + td,
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freq=freq,
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)
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exp = DatetimeIndex([], freq=freq)
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tm.assert_index_equal(idx, exp)
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# start matches end
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idx = date_range(
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start=ts + td,
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end=ts + td,
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freq=freq,
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)
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exp = DatetimeIndex([ts + td], freq=freq)
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tm.assert_index_equal(idx, exp)
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def test_date_range_near_implementation_bound(self):
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# GH#???
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freq = Timedelta(1)
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with pytest.raises(OutOfBoundsDatetime, match="Cannot generate range with"):
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date_range(end=Timestamp.min, periods=2, freq=freq)
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def test_date_range_nat(self):
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# GH#11587
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msg = "Neither `start` nor `end` can be NaT"
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with pytest.raises(ValueError, match=msg):
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date_range(start="2016-01-01", end=pd.NaT, freq="D")
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with pytest.raises(ValueError, match=msg):
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date_range(start=pd.NaT, end="2016-01-01", freq="D")
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def test_date_range_multiplication_overflow(self):
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# GH#24255
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# check that overflows in calculating `addend = periods * stride`
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# are caught
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with tm.assert_produces_warning(None):
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# we should _not_ be seeing a overflow RuntimeWarning
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dti = date_range(start="1677-09-22", periods=213503, freq="D")
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assert dti[0] == Timestamp("1677-09-22")
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assert len(dti) == 213503
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msg = "Cannot generate range with"
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with pytest.raises(OutOfBoundsDatetime, match=msg):
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date_range("1969-05-04", periods=200000000, freq="30000D")
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def test_date_range_unsigned_overflow_handling(self):
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# GH#24255
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# case where `addend = periods * stride` overflows int64 bounds
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# but not uint64 bounds
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dti = date_range(start="1677-09-22", end="2262-04-11", freq="D")
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dti2 = date_range(start=dti[0], periods=len(dti), freq="D")
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assert dti2.equals(dti)
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dti3 = date_range(end=dti[-1], periods=len(dti), freq="D")
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assert dti3.equals(dti)
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def test_date_range_int64_overflow_non_recoverable(self):
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# GH#24255
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# case with start later than 1970-01-01, overflow int64 but not uint64
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msg = "Cannot generate range with"
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with pytest.raises(OutOfBoundsDatetime, match=msg):
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date_range(start="1970-02-01", periods=106752 * 24, freq="H")
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# case with end before 1970-01-01, overflow int64 but not uint64
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with pytest.raises(OutOfBoundsDatetime, match=msg):
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date_range(end="1969-11-14", periods=106752 * 24, freq="H")
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@pytest.mark.slow
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def test_date_range_int64_overflow_stride_endpoint_different_signs(self):
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# cases where stride * periods overflow int64 and stride/endpoint
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# have different signs
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start = Timestamp("2262-02-23")
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end = Timestamp("1969-11-14")
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expected = date_range(start=start, end=end, freq="-1H")
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assert expected[0] == start
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assert expected[-1] == end
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dti = date_range(end=end, periods=len(expected), freq="-1H")
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tm.assert_index_equal(dti, expected)
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start2 = Timestamp("1970-02-01")
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end2 = Timestamp("1677-10-22")
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expected2 = date_range(start=start2, end=end2, freq="-1H")
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assert expected2[0] == start2
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assert expected2[-1] == end2
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dti2 = date_range(start=start2, periods=len(expected2), freq="-1H")
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tm.assert_index_equal(dti2, expected2)
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def test_date_range_out_of_bounds(self):
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# GH#14187
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msg = "Cannot generate range"
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with pytest.raises(OutOfBoundsDatetime, match=msg):
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date_range("2016-01-01", periods=100000, freq="D")
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with pytest.raises(OutOfBoundsDatetime, match=msg):
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date_range(end="1763-10-12", periods=100000, freq="D")
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def test_date_range_gen_error(self):
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rng = date_range("1/1/2000 00:00", "1/1/2000 00:18", freq="5min")
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assert len(rng) == 4
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@pytest.mark.parametrize("freq", ["AS", "YS"])
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def test_begin_year_alias(self, freq):
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# see gh-9313
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rng = date_range("1/1/2013", "7/1/2017", freq=freq)
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exp = DatetimeIndex(
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["2013-01-01", "2014-01-01", "2015-01-01", "2016-01-01", "2017-01-01"],
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freq=freq,
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)
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tm.assert_index_equal(rng, exp)
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@pytest.mark.parametrize("freq", ["A", "Y"])
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def test_end_year_alias(self, freq):
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# see gh-9313
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rng = date_range("1/1/2013", "7/1/2017", freq=freq)
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exp = DatetimeIndex(
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["2013-12-31", "2014-12-31", "2015-12-31", "2016-12-31"], freq=freq
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)
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tm.assert_index_equal(rng, exp)
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@pytest.mark.parametrize("freq", ["BA", "BY"])
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def test_business_end_year_alias(self, freq):
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# see gh-9313
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rng = date_range("1/1/2013", "7/1/2017", freq=freq)
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exp = DatetimeIndex(
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["2013-12-31", "2014-12-31", "2015-12-31", "2016-12-30"], freq=freq
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)
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tm.assert_index_equal(rng, exp)
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def test_date_range_negative_freq(self):
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# GH 11018
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rng = date_range("2011-12-31", freq="-2A", periods=3)
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exp = DatetimeIndex(["2011-12-31", "2009-12-31", "2007-12-31"], freq="-2A")
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tm.assert_index_equal(rng, exp)
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assert rng.freq == "-2A"
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rng = date_range("2011-01-31", freq="-2M", periods=3)
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exp = DatetimeIndex(["2011-01-31", "2010-11-30", "2010-09-30"], freq="-2M")
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tm.assert_index_equal(rng, exp)
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assert rng.freq == "-2M"
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def test_date_range_bms_bug(self):
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# #1645
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rng = date_range("1/1/2000", periods=10, freq="BMS")
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ex_first = Timestamp("2000-01-03")
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assert rng[0] == ex_first
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def test_date_range_normalize(self):
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snap = datetime.today()
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n = 50
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rng = date_range(snap, periods=n, normalize=False, freq="2D")
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offset = timedelta(2)
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values = DatetimeIndex([snap + i * offset for i in range(n)], freq=offset)
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tm.assert_index_equal(rng, values)
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rng = date_range("1/1/2000 08:15", periods=n, normalize=False, freq="B")
|
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the_time = time(8, 15)
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for val in rng:
|
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assert val.time() == the_time
|
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def test_date_range_fy5252(self):
|
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dr = date_range(
|
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start="2013-01-01",
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periods=2,
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freq=offsets.FY5253(startingMonth=1, weekday=3, variation="nearest"),
|
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)
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assert dr[0] == Timestamp("2013-01-31")
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assert dr[1] == Timestamp("2014-01-30")
|
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|
|
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||
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def test_date_range_ambiguous_arguments(self):
|
||
|
|
# #2538
|
||
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start = datetime(2011, 1, 1, 5, 3, 40)
|
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end = datetime(2011, 1, 1, 8, 9, 40)
|
||
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|
||
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msg = (
|
||
|
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"Of the four parameters: start, end, periods, and "
|
||
|
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"freq, exactly three must be specified"
|
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)
|
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with pytest.raises(ValueError, match=msg):
|
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date_range(start, end, periods=10, freq="s")
|
||
|
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||
|
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def test_date_range_convenience_periods(self):
|
||
|
|
# GH 20808
|
||
|
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result = date_range("2018-04-24", "2018-04-27", periods=3)
|
||
|
|
expected = DatetimeIndex(
|
||
|
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["2018-04-24 00:00:00", "2018-04-25 12:00:00", "2018-04-27 00:00:00"],
|
||
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freq=None,
|
||
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)
|
||
|
|
|
||
|
|
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_date_range_timedelta(self):
|
||
|
|
start = "2020-01-01"
|
||
|
|
end = "2020-01-11"
|
||
|
|
rng1 = date_range(start, end, freq="3D")
|
||
|
|
rng2 = date_range(start, end, freq=timedelta(days=3))
|
||
|
|
tm.assert_index_equal(rng1, rng2)
|
||
|
|
|
||
|
|
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"), 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, inclusive_endpoints_fixture):
|
||
|
|
begin = datetime(2011, 1, 1)
|
||
|
|
end = datetime(2014, 1, 1)
|
||
|
|
|
||
|
|
result_range = date_range(
|
||
|
|
begin, end, inclusive=inclusive_endpoints_fixture, freq=freq
|
||
|
|
)
|
||
|
|
both_range = date_range(begin, end, inclusive="both", freq=freq)
|
||
|
|
expected_range = _get_expected_range(
|
||
|
|
begin, end, both_range, inclusive_endpoints_fixture
|
||
|
|
)
|
||
|
|
|
||
|
|
tm.assert_index_equal(expected_range, result_range)
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("freq", ["1D", "3D", "2M", "7W", "3H", "A"])
|
||
|
|
def test_range_closed_with_tz_aware_start_end(
|
||
|
|
self, freq, inclusive_endpoints_fixture
|
||
|
|
):
|
||
|
|
# GH12409, GH12684
|
||
|
|
begin = Timestamp("2011/1/1", tz="US/Eastern")
|
||
|
|
end = Timestamp("2014/1/1", tz="US/Eastern")
|
||
|
|
|
||
|
|
result_range = date_range(
|
||
|
|
begin, end, inclusive=inclusive_endpoints_fixture, freq=freq
|
||
|
|
)
|
||
|
|
both_range = date_range(begin, end, inclusive="both", freq=freq)
|
||
|
|
expected_range = _get_expected_range(
|
||
|
|
begin,
|
||
|
|
end,
|
||
|
|
both_range,
|
||
|
|
inclusive_endpoints_fixture,
|
||
|
|
)
|
||
|
|
|
||
|
|
tm.assert_index_equal(expected_range, result_range)
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("freq", ["1D", "3D", "2M", "7W", "3H", "A"])
|
||
|
|
def test_range_with_tz_closed_with_tz_aware_start_end(
|
||
|
|
self, freq, inclusive_endpoints_fixture
|
||
|
|
):
|
||
|
|
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")
|
||
|
|
|
||
|
|
result_range = date_range(
|
||
|
|
begin,
|
||
|
|
end,
|
||
|
|
inclusive=inclusive_endpoints_fixture,
|
||
|
|
freq=freq,
|
||
|
|
tz="US/Eastern",
|
||
|
|
)
|
||
|
|
both_range = date_range(
|
||
|
|
begin, end, inclusive="both", freq=freq, tz="US/Eastern"
|
||
|
|
)
|
||
|
|
expected_range = _get_expected_range(
|
||
|
|
begintz,
|
||
|
|
endtz,
|
||
|
|
both_range,
|
||
|
|
inclusive_endpoints_fixture,
|
||
|
|
)
|
||
|
|
|
||
|
|
tm.assert_index_equal(expected_range, result_range)
|
||
|
|
|
||
|
|
def test_range_closed_boundary(self, inclusive_endpoints_fixture):
|
||
|
|
# GH#11804
|
||
|
|
right_boundary = date_range(
|
||
|
|
"2015-09-12",
|
||
|
|
"2015-12-01",
|
||
|
|
freq="QS-MAR",
|
||
|
|
inclusive=inclusive_endpoints_fixture,
|
||
|
|
)
|
||
|
|
left_boundary = date_range(
|
||
|
|
"2015-09-01",
|
||
|
|
"2015-09-12",
|
||
|
|
freq="QS-MAR",
|
||
|
|
inclusive=inclusive_endpoints_fixture,
|
||
|
|
)
|
||
|
|
both_boundary = date_range(
|
||
|
|
"2015-09-01",
|
||
|
|
"2015-12-01",
|
||
|
|
freq="QS-MAR",
|
||
|
|
inclusive=inclusive_endpoints_fixture,
|
||
|
|
)
|
||
|
|
neither_boundary = date_range(
|
||
|
|
"2015-09-11",
|
||
|
|
"2015-09-12",
|
||
|
|
freq="QS-MAR",
|
||
|
|
inclusive=inclusive_endpoints_fixture,
|
||
|
|
)
|
||
|
|
|
||
|
|
expected_right = both_boundary
|
||
|
|
expected_left = both_boundary
|
||
|
|
expected_both = both_boundary
|
||
|
|
|
||
|
|
if inclusive_endpoints_fixture == "right":
|
||
|
|
expected_left = both_boundary[1:]
|
||
|
|
elif inclusive_endpoints_fixture == "left":
|
||
|
|
expected_right = both_boundary[:-1]
|
||
|
|
elif inclusive_endpoints_fixture == "both":
|
||
|
|
expected_right = both_boundary[1:]
|
||
|
|
expected_left = both_boundary[:-1]
|
||
|
|
|
||
|
|
expected_neither = both_boundary[1:-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)
|
||
|
|
tm.assert_index_equal(neither_boundary, expected_neither)
|
||
|
|
|
||
|
|
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_comparison_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_comparison_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 = date_range(start="2011-06-01", end="2011-01-01", freq="-1MS", tz=tz)
|
||
|
|
expected = date_range(end="2011-06-01", start="2011-01-01", freq="1MS", tz=tz)[
|
||
|
|
::-1
|
||
|
|
]
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
def test_range_where_start_equal_end(self, inclusive_endpoints_fixture):
|
||
|
|
# GH 43394
|
||
|
|
start = "2021-09-02"
|
||
|
|
end = "2021-09-02"
|
||
|
|
result = date_range(
|
||
|
|
start=start, end=end, freq="D", inclusive=inclusive_endpoints_fixture
|
||
|
|
)
|
||
|
|
|
||
|
|
both_range = date_range(start=start, end=end, freq="D", inclusive="both")
|
||
|
|
if inclusive_endpoints_fixture == "neither":
|
||
|
|
expected = both_range[1:-1]
|
||
|
|
elif inclusive_endpoints_fixture in ("left", "right", "both"):
|
||
|
|
expected = both_range[:]
|
||
|
|
|
||
|
|
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, dtype="int32")
|
||
|
|
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, periods=None, offset=BDay(), unit="ns"))
|
||
|
|
rng2 = list(generate_range(START, END, periods=None, offset="B", unit="ns"))
|
||
|
|
assert rng1 == rng2
|
||
|
|
|
||
|
|
def test_generate_cday(self):
|
||
|
|
rng1 = list(generate_range(START, END, periods=None, offset=CDay(), unit="ns"))
|
||
|
|
rng2 = list(generate_range(START, END, periods=None, offset="C", unit="ns"))
|
||
|
|
assert rng1 == rng2
|
||
|
|
|
||
|
|
def test_1(self):
|
||
|
|
rng = list(
|
||
|
|
generate_range(
|
||
|
|
start=datetime(2009, 3, 25),
|
||
|
|
end=None,
|
||
|
|
periods=2,
|
||
|
|
offset=BDay(),
|
||
|
|
unit="ns",
|
||
|
|
)
|
||
|
|
)
|
||
|
|
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),
|
||
|
|
periods=None,
|
||
|
|
offset=BDay(),
|
||
|
|
unit="ns",
|
||
|
|
)
|
||
|
|
)
|
||
|
|
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),
|
||
|
|
periods=None,
|
||
|
|
offset=BDay(),
|
||
|
|
unit="ns",
|
||
|
|
)
|
||
|
|
)
|
||
|
|
expected = []
|
||
|
|
assert rng == expected
|
||
|
|
|
||
|
|
def test_precision_finer_than_offset(self):
|
||
|
|
# GH#9907
|
||
|
|
result1 = date_range(
|
||
|
|
start="2015-04-15 00:00:03", end="2016-04-22 00:00:00", freq="Q"
|
||
|
|
)
|
||
|
|
result2 = 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",
|
||
|
|
[
|
||
|
|
(Timestamp(dt1, tz=tz1), Timestamp(dt2)),
|
||
|
|
(Timestamp(dt1), Timestamp(dt2, tz=tz2)),
|
||
|
|
(Timestamp(dt1, tz=tz1), Timestamp(dt2, tz=tz2)),
|
||
|
|
(Timestamp(dt1, tz=tz2), 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):
|
||
|
|
date_range(start, end)
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
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 = "Unknown datetime string format, unable to parse: 2007/100/1"
|
||
|
|
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("inclusive", ["left", "right", "neither", "both"])
|
||
|
|
def test_bdays_and_open_boundaries(self, inclusive):
|
||
|
|
# GH 6673
|
||
|
|
start = "2018-07-21" # Saturday
|
||
|
|
end = "2018-07-29" # Sunday
|
||
|
|
result = date_range(start, end, freq="B", inclusive=inclusive)
|
||
|
|
|
||
|
|
bday_start = "2018-07-23" # Monday
|
||
|
|
bday_end = "2018-07-27" # Friday
|
||
|
|
expected = 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 = Timestamp.max.floor("D").to_pydatetime()
|
||
|
|
rng = date_range(start, end=None, periods=1, freq="B")
|
||
|
|
expected = 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 = Timestamp.max.floor("D").to_pydatetime()
|
||
|
|
with pytest.raises(OutOfBoundsDatetime, match=msg):
|
||
|
|
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 = date_range(start=start, end=end, periods=2, inclusive="left")
|
||
|
|
expected = DatetimeIndex([start])
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"start,period,expected",
|
||
|
|
[
|
||
|
|
("2022-07-23 00:00:00+02:00", 1, ["2022-07-25 00:00:00+02:00"]),
|
||
|
|
("2022-07-22 00:00:00+02:00", 1, ["2022-07-22 00:00:00+02:00"]),
|
||
|
|
(
|
||
|
|
"2022-07-22 00:00:00+02:00",
|
||
|
|
2,
|
||
|
|
["2022-07-22 00:00:00+02:00", "2022-07-25 00:00:00+02:00"],
|
||
|
|
),
|
||
|
|
],
|
||
|
|
)
|
||
|
|
def test_range_with_timezone_and_custombusinessday(self, start, period, expected):
|
||
|
|
# GH49441
|
||
|
|
result = date_range(start=start, periods=period, freq="C")
|
||
|
|
expected = DatetimeIndex(expected)
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_date_range_with_custom_holidays():
|
||
|
|
# GH 30593
|
||
|
|
freq = offsets.CustomBusinessHour(start="15:00", holidays=["2020-11-26"])
|
||
|
|
result = date_range(start="2020-11-25 15:00", periods=4, freq=freq)
|
||
|
|
expected = 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)
|
||
|
|
|
||
|
|
|
||
|
|
class TestDateRangeNonNano:
|
||
|
|
def test_date_range_reso_validation(self):
|
||
|
|
msg = "'unit' must be one of 's', 'ms', 'us', 'ns'"
|
||
|
|
with pytest.raises(ValueError, match=msg):
|
||
|
|
date_range("2016-01-01", "2016-03-04", periods=3, unit="h")
|
||
|
|
|
||
|
|
def test_date_range_freq_higher_than_reso(self):
|
||
|
|
# freq being higher-resolution than reso is a problem
|
||
|
|
msg = "Use a lower freq or a higher unit instead"
|
||
|
|
with pytest.raises(ValueError, match=msg):
|
||
|
|
# # TODO give a more useful or informative message?
|
||
|
|
date_range("2016-01-01", "2016-01-02", freq="ns", unit="ms")
|
||
|
|
|
||
|
|
def test_date_range_freq_matches_reso(self):
|
||
|
|
# GH#49106 matching reso is OK
|
||
|
|
dti = date_range("2016-01-01", "2016-01-01 00:00:01", freq="ms", unit="ms")
|
||
|
|
rng = np.arange(1_451_606_400_000, 1_451_606_401_001, dtype=np.int64)
|
||
|
|
expected = DatetimeIndex(rng.view("M8[ms]"), freq="ms")
|
||
|
|
tm.assert_index_equal(dti, expected)
|
||
|
|
|
||
|
|
dti = date_range("2016-01-01", "2016-01-01 00:00:01", freq="us", unit="us")
|
||
|
|
rng = np.arange(1_451_606_400_000_000, 1_451_606_401_000_001, dtype=np.int64)
|
||
|
|
expected = DatetimeIndex(rng.view("M8[us]"), freq="us")
|
||
|
|
tm.assert_index_equal(dti, expected)
|
||
|
|
|
||
|
|
dti = date_range("2016-01-01", "2016-01-01 00:00:00.001", freq="ns", unit="ns")
|
||
|
|
rng = np.arange(
|
||
|
|
1_451_606_400_000_000_000, 1_451_606_400_001_000_001, dtype=np.int64
|
||
|
|
)
|
||
|
|
expected = DatetimeIndex(rng.view("M8[ns]"), freq="ns")
|
||
|
|
tm.assert_index_equal(dti, expected)
|
||
|
|
|
||
|
|
def test_date_range_freq_lower_than_endpoints(self):
|
||
|
|
start = Timestamp("2022-10-19 11:50:44.719781")
|
||
|
|
end = Timestamp("2022-10-19 11:50:47.066458")
|
||
|
|
|
||
|
|
# start and end cannot be cast to "s" unit without lossy rounding,
|
||
|
|
# so we do not allow this in date_range
|
||
|
|
with pytest.raises(ValueError, match="Cannot losslessly convert units"):
|
||
|
|
date_range(start, end, periods=3, unit="s")
|
||
|
|
|
||
|
|
# but we can losslessly cast to "us"
|
||
|
|
dti = date_range(start, end, periods=2, unit="us")
|
||
|
|
rng = np.array(
|
||
|
|
[start.as_unit("us")._value, end.as_unit("us")._value], dtype=np.int64
|
||
|
|
)
|
||
|
|
expected = DatetimeIndex(rng.view("M8[us]"))
|
||
|
|
tm.assert_index_equal(dti, expected)
|
||
|
|
|
||
|
|
def test_date_range_non_nano(self):
|
||
|
|
start = np.datetime64("1066-10-14") # Battle of Hastings
|
||
|
|
end = np.datetime64("2305-07-13") # Jean-Luc Picard's birthday
|
||
|
|
|
||
|
|
dti = date_range(start, end, freq="D", unit="s")
|
||
|
|
assert dti.freq == "D"
|
||
|
|
assert dti.dtype == "M8[s]"
|
||
|
|
|
||
|
|
exp = np.arange(
|
||
|
|
start.astype("M8[s]").view("i8"),
|
||
|
|
(end + 1).astype("M8[s]").view("i8"),
|
||
|
|
24 * 3600,
|
||
|
|
).view("M8[s]")
|
||
|
|
|
||
|
|
tm.assert_numpy_array_equal(dti.to_numpy(), exp)
|