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test_scalar_compat.py
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test_scalar_compat.py
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# -*- coding: utf-8 -*-
"""
Tests for DatetimeIndex methods behaving like their Timestamp counterparts
"""
from datetime import datetime
import numpy as np
import pytest
import pandas.util.testing as tm
import pandas as pd
from pandas import date_range, Timestamp, DatetimeIndex
@pytest.fixture(params=[None, 'UTC', 'Asia/Tokyo',
'US/Eastern', 'dateutil/Asia/Singapore',
'dateutil/US/Pacific'])
def tz(request):
return request.param
class TestDatetimeIndexOps(object):
def test_dti_time(self):
rng = date_range('1/1/2000', freq='12min', periods=10)
result = pd.Index(rng).time
expected = [t.time() for t in rng]
assert (result == expected).all()
def test_dti_date(self):
rng = date_range('1/1/2000', freq='12H', periods=10)
result = pd.Index(rng).date
expected = [t.date() for t in rng]
assert (result == expected).all()
def test_dti_date_out_of_range(self):
# GH#1475
pytest.raises(ValueError, DatetimeIndex, ['1400-01-01'])
pytest.raises(ValueError, DatetimeIndex, [datetime(1400, 1, 1)])
@pytest.mark.parametrize('field', [
'dayofweek', 'dayofyear', 'week', 'weekofyear', 'quarter',
'days_in_month', 'is_month_start', 'is_month_end',
'is_quarter_start', 'is_quarter_end', 'is_year_start',
'is_year_end', 'weekday_name'])
def test_dti_timestamp_fields(self, field):
# extra fields from DatetimeIndex like quarter and week
idx = tm.makeDateIndex(100)
expected = getattr(idx, field)[-1]
if field == 'weekday_name':
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
result = getattr(Timestamp(idx[-1]), field)
else:
result = getattr(Timestamp(idx[-1]), field)
assert result == expected
def test_dti_timestamp_freq_fields(self):
# extra fields from DatetimeIndex like quarter and week
idx = tm.makeDateIndex(100)
assert idx.freq == Timestamp(idx[-1], idx.freq).freq
assert idx.freqstr == Timestamp(idx[-1], idx.freq).freqstr
# ----------------------------------------------------------------
# DatetimeIndex.round
def test_round_daily(self):
dti = date_range('20130101 09:10:11', periods=5)
result = dti.round('D')
expected = date_range('20130101', periods=5)
tm.assert_index_equal(result, expected)
dti = dti.tz_localize('UTC').tz_convert('US/Eastern')
result = dti.round('D')
expected = date_range('20130101',
periods=5).tz_localize('US/Eastern')
tm.assert_index_equal(result, expected)
result = dti.round('s')
tm.assert_index_equal(result, dti)
# invalid
for freq in ['Y', 'M', 'foobar']:
pytest.raises(ValueError, lambda: dti.round(freq))
def test_round(self, tz):
rng = date_range(start='2016-01-01', periods=5,
freq='30Min', tz=tz)
elt = rng[1]
expected_rng = DatetimeIndex([
Timestamp('2016-01-01 00:00:00', tz=tz, freq='30T'),
Timestamp('2016-01-01 00:00:00', tz=tz, freq='30T'),
Timestamp('2016-01-01 01:00:00', tz=tz, freq='30T'),
Timestamp('2016-01-01 02:00:00', tz=tz, freq='30T'),
Timestamp('2016-01-01 02:00:00', tz=tz, freq='30T'),
])
expected_elt = expected_rng[1]
tm.assert_index_equal(rng.round(freq='H'), expected_rng)
assert elt.round(freq='H') == expected_elt
msg = pd._libs.tslibs.frequencies._INVALID_FREQ_ERROR
with tm.assert_raises_regex(ValueError, msg):
rng.round(freq='foo')
with tm.assert_raises_regex(ValueError, msg):
elt.round(freq='foo')
msg = "<MonthEnd> is a non-fixed frequency"
tm.assert_raises_regex(ValueError, msg, rng.round, freq='M')
tm.assert_raises_regex(ValueError, msg, elt.round, freq='M')
# GH#14440 & GH#15578
index = DatetimeIndex(['2016-10-17 12:00:00.0015'], tz=tz)
result = index.round('ms')
expected = DatetimeIndex(['2016-10-17 12:00:00.002000'], tz=tz)
tm.assert_index_equal(result, expected)
for freq in ['us', 'ns']:
tm.assert_index_equal(index, index.round(freq))
index = DatetimeIndex(['2016-10-17 12:00:00.00149'], tz=tz)
result = index.round('ms')
expected = DatetimeIndex(['2016-10-17 12:00:00.001000'], tz=tz)
tm.assert_index_equal(result, expected)
index = DatetimeIndex(['2016-10-17 12:00:00.001501031'])
result = index.round('10ns')
expected = DatetimeIndex(['2016-10-17 12:00:00.001501030'])
tm.assert_index_equal(result, expected)
with tm.assert_produces_warning():
ts = '2016-10-17 12:00:00.001501031'
DatetimeIndex([ts]).round('1010ns')
@pytest.mark.parametrize('test_input, rounder, freq, expected', [
(['2117-01-01 00:00:45'], 'floor', '15s', ['2117-01-01 00:00:45']),
(['2117-01-01 00:00:45'], 'ceil', '15s', ['2117-01-01 00:00:45']),
(['2117-01-01 00:00:45.000000012'], 'floor', '10ns',
['2117-01-01 00:00:45.000000010']),
(['1823-01-01 00:00:01.000000012'], 'ceil', '10ns',
['1823-01-01 00:00:01.000000020']),
(['1823-01-01 00:00:01'], 'floor', '1s', ['1823-01-01 00:00:01']),
(['1823-01-01 00:00:01'], 'ceil', '1s', ['1823-01-01 00:00:01']),
(('NaT', '1823-01-01 00:00:01'), 'floor', '1s',
('NaT', '1823-01-01 00:00:01')),
(('NaT', '1823-01-01 00:00:01'), 'ceil', '1s',
('NaT', '1823-01-01 00:00:01'))
])
def test_ceil_floor_edge(self, tz, test_input, rounder, freq, expected):
dt = DatetimeIndex(list(test_input))
func = getattr(dt, rounder)
result = func(freq)
expected = DatetimeIndex(list(expected))
assert expected.equals(result)
# ----------------------------------------------------------------
# DatetimeIndex.normalize
def test_normalize(self):
rng = date_range('1/1/2000 9:30', periods=10, freq='D')
result = rng.normalize()
expected = date_range('1/1/2000', periods=10, freq='D')
tm.assert_index_equal(result, expected)
arr_ns = np.array([1380585623454345752,
1380585612343234312]).astype("datetime64[ns]")
rng_ns = DatetimeIndex(arr_ns)
rng_ns_normalized = rng_ns.normalize()
arr_ns = np.array([1380585600000000000,
1380585600000000000]).astype("datetime64[ns]")
expected = DatetimeIndex(arr_ns)
tm.assert_index_equal(rng_ns_normalized, expected)
assert result.is_normalized
assert not rng.is_normalized
class TestDateTimeIndexToJulianDate(object):
def test_1700(self):
dr = date_range(start=Timestamp('1710-10-01'), periods=5, freq='D')
r1 = pd.Index([x.to_julian_date() for x in dr])
r2 = dr.to_julian_date()
assert isinstance(r2, pd.Float64Index)
tm.assert_index_equal(r1, r2)
def test_2000(self):
dr = date_range(start=Timestamp('2000-02-27'), periods=5, freq='D')
r1 = pd.Index([x.to_julian_date() for x in dr])
r2 = dr.to_julian_date()
assert isinstance(r2, pd.Float64Index)
tm.assert_index_equal(r1, r2)
def test_hour(self):
dr = date_range(start=Timestamp('2000-02-27'), periods=5, freq='H')
r1 = pd.Index([x.to_julian_date() for x in dr])
r2 = dr.to_julian_date()
assert isinstance(r2, pd.Float64Index)
tm.assert_index_equal(r1, r2)
def test_minute(self):
dr = date_range(start=Timestamp('2000-02-27'), periods=5, freq='T')
r1 = pd.Index([x.to_julian_date() for x in dr])
r2 = dr.to_julian_date()
assert isinstance(r2, pd.Float64Index)
tm.assert_index_equal(r1, r2)
def test_second(self):
dr = date_range(start=Timestamp('2000-02-27'), periods=5, freq='S')
r1 = pd.Index([x.to_julian_date() for x in dr])
r2 = dr.to_julian_date()
assert isinstance(r2, pd.Float64Index)
tm.assert_index_equal(r1, r2)