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test_to_period.py
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import warnings
import dateutil.tz
from dateutil.tz import tzlocal
import pytest
import pytz
from pandas._libs.tslibs.ccalendar import MONTHS
from pandas._libs.tslibs.offsets import MonthEnd
from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
from pandas import (
DatetimeIndex,
Period,
PeriodIndex,
Timestamp,
date_range,
period_range,
)
import pandas._testing as tm
class TestToPeriod:
def test_dti_to_period(self):
dti = date_range(start="1/1/2005", end="12/1/2005", freq="M")
pi1 = dti.to_period()
pi2 = dti.to_period(freq="D")
pi3 = dti.to_period(freq="3D")
assert pi1[0] == Period("Jan 2005", freq="M")
assert pi2[0] == Period("1/31/2005", freq="D")
assert pi3[0] == Period("1/31/2005", freq="3D")
assert pi1[-1] == Period("Nov 2005", freq="M")
assert pi2[-1] == Period("11/30/2005", freq="D")
assert pi3[-1], Period("11/30/2005", freq="3D")
tm.assert_index_equal(pi1, period_range("1/1/2005", "11/1/2005", freq="M"))
tm.assert_index_equal(
pi2, period_range("1/1/2005", "11/1/2005", freq="M").asfreq("D")
)
tm.assert_index_equal(
pi3, period_range("1/1/2005", "11/1/2005", freq="M").asfreq("3D")
)
@pytest.mark.parametrize("month", MONTHS)
def test_to_period_quarterly(self, month):
# make sure we can make the round trip
freq = f"Q-{month}"
rng = period_range("1989Q3", "1991Q3", freq=freq)
stamps = rng.to_timestamp()
result = stamps.to_period(freq)
tm.assert_index_equal(rng, result)
@pytest.mark.parametrize("off", ["BQ", "QS", "BQS"])
def test_to_period_quarterlyish(self, off):
rng = date_range("01-Jan-2012", periods=8, freq=off)
prng = rng.to_period()
assert prng.freq == "Q-DEC"
@pytest.mark.parametrize("off", ["BA", "AS", "BAS"])
def test_to_period_annualish(self, off):
rng = date_range("01-Jan-2012", periods=8, freq=off)
prng = rng.to_period()
assert prng.freq == "A-DEC"
def test_to_period_monthish(self):
offsets = ["MS", "BM"]
for off in offsets:
rng = date_range("01-Jan-2012", periods=8, freq=off)
prng = rng.to_period()
assert prng.freq == "M"
rng = date_range("01-Jan-2012", periods=8, freq="M")
prng = rng.to_period()
assert prng.freq == "M"
with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG):
date_range("01-Jan-2012", periods=8, freq="EOM")
@pytest.mark.parametrize("freq", ["2M", MonthEnd(2)])
def test_dti_to_period_2monthish(self, freq):
dti = date_range("2020-01-01", periods=3, freq=freq)
pi = dti.to_period()
tm.assert_index_equal(pi, period_range("2020-01", "2020-05", freq=freq))
def test_to_period_infer(self):
# https://github.com/pandas-dev/pandas/issues/33358
rng = date_range(
start="2019-12-22 06:40:00+00:00",
end="2019-12-22 08:45:00+00:00",
freq="5min",
)
with tm.assert_produces_warning(None):
# Using simple filter because we are not checking for the warning here
warnings.simplefilter("ignore", UserWarning)
pi1 = rng.to_period("5min")
with tm.assert_produces_warning(None):
# Using simple filter because we are not checking for the warning here
warnings.simplefilter("ignore", UserWarning)
pi2 = rng.to_period()
tm.assert_index_equal(pi1, pi2)
@pytest.mark.filterwarnings(r"ignore:PeriodDtype\[B\] is deprecated:FutureWarning")
def test_period_dt64_round_trip(self):
dti = date_range("1/1/2000", "1/7/2002", freq="B")
pi = dti.to_period()
tm.assert_index_equal(pi.to_timestamp(), dti)
dti = date_range("1/1/2000", "1/7/2002", freq="B")
pi = dti.to_period(freq="H")
tm.assert_index_equal(pi.to_timestamp(), dti)
def test_to_period_millisecond(self):
index = DatetimeIndex(
[
Timestamp("2007-01-01 10:11:12.123456Z"),
Timestamp("2007-01-01 10:11:13.789123Z"),
]
)
with tm.assert_produces_warning(UserWarning):
# warning that timezone info will be lost
period = index.to_period(freq="L")
assert 2 == len(period)
assert period[0] == Period("2007-01-01 10:11:12.123Z", "L")
assert period[1] == Period("2007-01-01 10:11:13.789Z", "L")
def test_to_period_microsecond(self):
index = DatetimeIndex(
[
Timestamp("2007-01-01 10:11:12.123456Z"),
Timestamp("2007-01-01 10:11:13.789123Z"),
]
)
with tm.assert_produces_warning(UserWarning):
# warning that timezone info will be lost
period = index.to_period(freq="U")
assert 2 == len(period)
assert period[0] == Period("2007-01-01 10:11:12.123456Z", "U")
assert period[1] == Period("2007-01-01 10:11:13.789123Z", "U")
@pytest.mark.parametrize(
"tz",
["US/Eastern", pytz.utc, tzlocal(), "dateutil/US/Eastern", dateutil.tz.tzutc()],
)
def test_to_period_tz(self, tz):
ts = date_range("1/1/2000", "2/1/2000", tz=tz)
with tm.assert_produces_warning(UserWarning):
# GH#21333 warning that timezone info will be lost
# filter warning about freq deprecation
result = ts.to_period()[0]
expected = ts[0].to_period(ts.freq)
assert result == expected
expected = date_range("1/1/2000", "2/1/2000").to_period()
with tm.assert_produces_warning(UserWarning):
# GH#21333 warning that timezone info will be lost
result = ts.to_period(ts.freq)
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize("tz", ["Etc/GMT-1", "Etc/GMT+1"])
def test_to_period_tz_utc_offset_consistency(self, tz):
# GH#22905
ts = date_range("1/1/2000", "2/1/2000", tz="Etc/GMT-1")
with tm.assert_produces_warning(UserWarning):
result = ts.to_period()[0]
expected = ts[0].to_period(ts.freq)
assert result == expected
def test_to_period_nofreq(self):
idx = DatetimeIndex(["2000-01-01", "2000-01-02", "2000-01-04"])
msg = "You must pass a freq argument as current index has none."
with pytest.raises(ValueError, match=msg):
idx.to_period()
idx = DatetimeIndex(["2000-01-01", "2000-01-02", "2000-01-03"], freq="infer")
assert idx.freqstr == "D"
expected = PeriodIndex(["2000-01-01", "2000-01-02", "2000-01-03"], freq="D")
tm.assert_index_equal(idx.to_period(), expected)
# GH#7606
idx = DatetimeIndex(["2000-01-01", "2000-01-02", "2000-01-03"])
assert idx.freqstr is None
tm.assert_index_equal(idx.to_period(), expected)