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test_period.py
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# Arithmetc tests for DataFrame/Series/Index/Array classes that should
# behave identically.
# Specifically for Period dtype
import operator
import numpy as np
import pytest
from pandas._libs.tslibs.period import IncompatibleFrequency
from pandas.errors import PerformanceWarning
import pandas as pd
from pandas import Period, PeriodIndex, Series, period_range
from pandas.core import ops
import pandas.util.testing as tm
from pandas.tseries.frequencies import to_offset
# ------------------------------------------------------------------
# Comparisons
class TestPeriodIndexComparisons:
@pytest.mark.parametrize("other", ["2017", 2017])
def test_eq(self, other):
idx = PeriodIndex(['2017', '2017', '2018'], freq="D")
expected = np.array([True, True, False])
result = idx == other
tm.assert_numpy_array_equal(result, expected)
def test_pi_cmp_period(self):
idx = period_range('2007-01', periods=20, freq='M')
result = idx < idx[10]
exp = idx.values < idx.values[10]
tm.assert_numpy_array_equal(result, exp)
# TODO: moved from test_datetime64; de-duplicate with version below
def test_parr_cmp_period_scalar2(self, box_with_array):
xbox = box_with_array if box_with_array is not pd.Index else np.ndarray
pi = pd.period_range('2000-01-01', periods=10, freq='D')
val = Period('2000-01-04', freq='D')
expected = [x > val for x in pi]
ser = tm.box_expected(pi, box_with_array)
expected = tm.box_expected(expected, xbox)
result = ser > val
tm.assert_equal(result, expected)
val = pi[5]
result = ser > val
expected = [x > val for x in pi]
expected = tm.box_expected(expected, xbox)
tm.assert_equal(result, expected)
@pytest.mark.parametrize('freq', ['M', '2M', '3M'])
def test_parr_cmp_period_scalar(self, freq, box_with_array):
# GH#13200
xbox = np.ndarray if box_with_array is pd.Index else box_with_array
base = PeriodIndex(['2011-01', '2011-02', '2011-03', '2011-04'],
freq=freq)
base = tm.box_expected(base, box_with_array)
per = Period('2011-02', freq=freq)
exp = np.array([False, True, False, False])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base == per, exp)
tm.assert_equal(per == base, exp)
exp = np.array([True, False, True, True])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base != per, exp)
tm.assert_equal(per != base, exp)
exp = np.array([False, False, True, True])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base > per, exp)
tm.assert_equal(per < base, exp)
exp = np.array([True, False, False, False])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base < per, exp)
tm.assert_equal(per > base, exp)
exp = np.array([False, True, True, True])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base >= per, exp)
tm.assert_equal(per <= base, exp)
exp = np.array([True, True, False, False])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base <= per, exp)
tm.assert_equal(per >= base, exp)
@pytest.mark.parametrize('freq', ['M', '2M', '3M'])
def test_parr_cmp_pi(self, freq, box_with_array):
# GH#13200
xbox = np.ndarray if box_with_array is pd.Index else box_with_array
base = PeriodIndex(['2011-01', '2011-02', '2011-03', '2011-04'],
freq=freq)
base = tm.box_expected(base, box_with_array)
# TODO: could also box idx?
idx = PeriodIndex(['2011-02', '2011-01', '2011-03', '2011-05'],
freq=freq)
exp = np.array([False, False, True, False])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base == idx, exp)
exp = np.array([True, True, False, True])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base != idx, exp)
exp = np.array([False, True, False, False])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base > idx, exp)
exp = np.array([True, False, False, True])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base < idx, exp)
exp = np.array([False, True, True, False])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base >= idx, exp)
exp = np.array([True, False, True, True])
exp = tm.box_expected(exp, xbox)
tm.assert_equal(base <= idx, exp)
@pytest.mark.parametrize('freq', ['M', '2M', '3M'])
def test_parr_cmp_pi_mismatched_freq_raises(self, freq, box_with_array):
# GH#13200
# different base freq
base = PeriodIndex(['2011-01', '2011-02', '2011-03', '2011-04'],
freq=freq)
base = tm.box_expected(base, box_with_array)
msg = "Input has different freq=A-DEC from "
with pytest.raises(IncompatibleFrequency, match=msg):
base <= Period('2011', freq='A')
with pytest.raises(IncompatibleFrequency, match=msg):
Period('2011', freq='A') >= base
# TODO: Could parametrize over boxes for idx?
idx = PeriodIndex(['2011', '2012', '2013', '2014'], freq='A')
rev_msg = (r'Input has different freq=(M|2M|3M) from '
r'PeriodArray\(freq=A-DEC\)')
idx_msg = rev_msg if box_with_array is tm.to_array else msg
with pytest.raises(IncompatibleFrequency, match=idx_msg):
base <= idx
# Different frequency
msg = "Input has different freq=4M from "
with pytest.raises(IncompatibleFrequency, match=msg):
base <= Period('2011', freq='4M')
with pytest.raises(IncompatibleFrequency, match=msg):
Period('2011', freq='4M') >= base
idx = PeriodIndex(['2011', '2012', '2013', '2014'], freq='4M')
rev_msg = (r'Input has different freq=(M|2M|3M) from '
r'PeriodArray\(freq=4M\)')
idx_msg = rev_msg if box_with_array is tm.to_array else msg
with pytest.raises(IncompatibleFrequency, match=idx_msg):
base <= idx
@pytest.mark.parametrize('freq', ['M', '2M', '3M'])
def test_pi_cmp_nat(self, freq):
idx1 = PeriodIndex(['2011-01', '2011-02', 'NaT', '2011-05'], freq=freq)
result = idx1 > Period('2011-02', freq=freq)
exp = np.array([False, False, False, True])
tm.assert_numpy_array_equal(result, exp)
result = Period('2011-02', freq=freq) < idx1
tm.assert_numpy_array_equal(result, exp)
result = idx1 == Period('NaT', freq=freq)
exp = np.array([False, False, False, False])
tm.assert_numpy_array_equal(result, exp)
result = Period('NaT', freq=freq) == idx1
tm.assert_numpy_array_equal(result, exp)
result = idx1 != Period('NaT', freq=freq)
exp = np.array([True, True, True, True])
tm.assert_numpy_array_equal(result, exp)
result = Period('NaT', freq=freq) != idx1
tm.assert_numpy_array_equal(result, exp)
idx2 = PeriodIndex(['2011-02', '2011-01', '2011-04', 'NaT'], freq=freq)
result = idx1 < idx2
exp = np.array([True, False, False, False])
tm.assert_numpy_array_equal(result, exp)
result = idx1 == idx2
exp = np.array([False, False, False, False])
tm.assert_numpy_array_equal(result, exp)
result = idx1 != idx2
exp = np.array([True, True, True, True])
tm.assert_numpy_array_equal(result, exp)
result = idx1 == idx1
exp = np.array([True, True, False, True])
tm.assert_numpy_array_equal(result, exp)
result = idx1 != idx1
exp = np.array([False, False, True, False])
tm.assert_numpy_array_equal(result, exp)
@pytest.mark.parametrize('freq', ['M', '2M', '3M'])
def test_pi_cmp_nat_mismatched_freq_raises(self, freq):
idx1 = PeriodIndex(['2011-01', '2011-02', 'NaT', '2011-05'], freq=freq)
diff = PeriodIndex(['2011-02', '2011-01', '2011-04', 'NaT'], freq='4M')
msg = "Input has different freq=4M from Period(Array|Index)"
with pytest.raises(IncompatibleFrequency, match=msg):
idx1 > diff
with pytest.raises(IncompatibleFrequency, match=msg):
idx1 == diff
# TODO: De-duplicate with test_pi_cmp_nat
@pytest.mark.parametrize('dtype', [object, None])
def test_comp_nat(self, dtype):
left = pd.PeriodIndex([pd.Period('2011-01-01'), pd.NaT,
pd.Period('2011-01-03')])
right = pd.PeriodIndex([pd.NaT, pd.NaT, pd.Period('2011-01-03')])
if dtype is not None:
left = left.astype(dtype)
right = right.astype(dtype)
result = left == right
expected = np.array([False, False, True])
tm.assert_numpy_array_equal(result, expected)
result = left != right
expected = np.array([True, True, False])
tm.assert_numpy_array_equal(result, expected)
expected = np.array([False, False, False])
tm.assert_numpy_array_equal(left == pd.NaT, expected)
tm.assert_numpy_array_equal(pd.NaT == right, expected)
expected = np.array([True, True, True])
tm.assert_numpy_array_equal(left != pd.NaT, expected)
tm.assert_numpy_array_equal(pd.NaT != left, expected)
expected = np.array([False, False, False])
tm.assert_numpy_array_equal(left < pd.NaT, expected)
tm.assert_numpy_array_equal(pd.NaT > left, expected)
class TestPeriodSeriesComparisons:
def test_cmp_series_period_series_mixed_freq(self):
# GH#13200
base = Series([Period('2011', freq='A'),
Period('2011-02', freq='M'),
Period('2013', freq='A'),
Period('2011-04', freq='M')])
ser = Series([Period('2012', freq='A'),
Period('2011-01', freq='M'),
Period('2013', freq='A'),
Period('2011-05', freq='M')])
exp = Series([False, False, True, False])
tm.assert_series_equal(base == ser, exp)
exp = Series([True, True, False, True])
tm.assert_series_equal(base != ser, exp)
exp = Series([False, True, False, False])
tm.assert_series_equal(base > ser, exp)
exp = Series([True, False, False, True])
tm.assert_series_equal(base < ser, exp)
exp = Series([False, True, True, False])
tm.assert_series_equal(base >= ser, exp)
exp = Series([True, False, True, True])
tm.assert_series_equal(base <= ser, exp)
class TestPeriodIndexSeriesComparisonConsistency:
""" Test PeriodIndex and Period Series Ops consistency """
# TODO: needs parametrization+de-duplication
def _check(self, values, func, expected):
# Test PeriodIndex and Period Series Ops consistency
idx = pd.PeriodIndex(values)
result = func(idx)
# check that we don't pass an unwanted type to tm.assert_equal
assert isinstance(expected, (pd.Index, np.ndarray))
tm.assert_equal(result, expected)
s = pd.Series(values)
result = func(s)
exp = pd.Series(expected, name=values.name)
tm.assert_series_equal(result, exp)
def test_pi_comp_period(self):
idx = PeriodIndex(['2011-01', '2011-02', '2011-03',
'2011-04'], freq='M', name='idx')
f = lambda x: x == pd.Period('2011-03', freq='M')
exp = np.array([False, False, True, False], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: pd.Period('2011-03', freq='M') == x
self._check(idx, f, exp)
f = lambda x: x != pd.Period('2011-03', freq='M')
exp = np.array([True, True, False, True], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: pd.Period('2011-03', freq='M') != x
self._check(idx, f, exp)
f = lambda x: pd.Period('2011-03', freq='M') >= x
exp = np.array([True, True, True, False], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: x > pd.Period('2011-03', freq='M')
exp = np.array([False, False, False, True], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: pd.Period('2011-03', freq='M') >= x
exp = np.array([True, True, True, False], dtype=np.bool)
self._check(idx, f, exp)
def test_pi_comp_period_nat(self):
idx = PeriodIndex(['2011-01', 'NaT', '2011-03',
'2011-04'], freq='M', name='idx')
f = lambda x: x == pd.Period('2011-03', freq='M')
exp = np.array([False, False, True, False], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: pd.Period('2011-03', freq='M') == x
self._check(idx, f, exp)
f = lambda x: x == pd.NaT
exp = np.array([False, False, False, False], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: pd.NaT == x
self._check(idx, f, exp)
f = lambda x: x != pd.Period('2011-03', freq='M')
exp = np.array([True, True, False, True], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: pd.Period('2011-03', freq='M') != x
self._check(idx, f, exp)
f = lambda x: x != pd.NaT
exp = np.array([True, True, True, True], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: pd.NaT != x
self._check(idx, f, exp)
f = lambda x: pd.Period('2011-03', freq='M') >= x
exp = np.array([True, False, True, False], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: x < pd.Period('2011-03', freq='M')
exp = np.array([True, False, False, False], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: x > pd.NaT
exp = np.array([False, False, False, False], dtype=np.bool)
self._check(idx, f, exp)
f = lambda x: pd.NaT >= x
exp = np.array([False, False, False, False], dtype=np.bool)
self._check(idx, f, exp)
# ------------------------------------------------------------------
# Arithmetic
class TestPeriodFrameArithmetic:
def test_ops_frame_period(self):
# GH#13043
df = pd.DataFrame({'A': [pd.Period('2015-01', freq='M'),
pd.Period('2015-02', freq='M')],
'B': [pd.Period('2014-01', freq='M'),
pd.Period('2014-02', freq='M')]})
assert df['A'].dtype == 'Period[M]'
assert df['B'].dtype == 'Period[M]'
p = pd.Period('2015-03', freq='M')
off = p.freq
# dtype will be object because of original dtype
exp = pd.DataFrame({'A': np.array([2 * off, 1 * off], dtype=object),
'B': np.array([14 * off, 13 * off], dtype=object)})
tm.assert_frame_equal(p - df, exp)
tm.assert_frame_equal(df - p, -1 * exp)
df2 = pd.DataFrame({'A': [pd.Period('2015-05', freq='M'),
pd.Period('2015-06', freq='M')],
'B': [pd.Period('2015-05', freq='M'),
pd.Period('2015-06', freq='M')]})
assert df2['A'].dtype == 'Period[M]'
assert df2['B'].dtype == 'Period[M]'
exp = pd.DataFrame({'A': np.array([4 * off, 4 * off], dtype=object),
'B': np.array([16 * off, 16 * off], dtype=object)})
tm.assert_frame_equal(df2 - df, exp)
tm.assert_frame_equal(df - df2, -1 * exp)
class TestPeriodIndexArithmetic:
# ---------------------------------------------------------------
# __add__/__sub__ with PeriodIndex
# PeriodIndex + other is defined for integers and timedelta-like others
# PeriodIndex - other is defined for integers, timedelta-like others,
# and PeriodIndex (with matching freq)
def test_parr_add_iadd_parr_raises(self, box_with_array):
rng = pd.period_range('1/1/2000', freq='D', periods=5)
other = pd.period_range('1/6/2000', freq='D', periods=5)
# TODO: parametrize over boxes for other?
rng = tm.box_expected(rng, box_with_array)
# An earlier implementation of PeriodIndex addition performed
# a set operation (union). This has since been changed to
# raise a TypeError. See GH#14164 and GH#13077 for historical
# reference.
with pytest.raises(TypeError):
rng + other
with pytest.raises(TypeError):
rng += other
def test_pi_sub_isub_pi(self):
# GH#20049
# For historical reference see GH#14164, GH#13077.
# PeriodIndex subtraction originally performed set difference,
# then changed to raise TypeError before being implemented in GH#20049
rng = pd.period_range('1/1/2000', freq='D', periods=5)
other = pd.period_range('1/6/2000', freq='D', periods=5)
off = rng.freq
expected = pd.Index([-5 * off] * 5)
result = rng - other
tm.assert_index_equal(result, expected)
rng -= other
tm.assert_index_equal(rng, expected)
def test_pi_sub_pi_with_nat(self):
rng = pd.period_range('1/1/2000', freq='D', periods=5)
other = rng[1:].insert(0, pd.NaT)
assert other[1:].equals(rng[1:])
result = rng - other
off = rng.freq
expected = pd.Index([pd.NaT, 0 * off, 0 * off, 0 * off, 0 * off])
tm.assert_index_equal(result, expected)
def test_parr_sub_pi_mismatched_freq(self, box_with_array):
rng = pd.period_range('1/1/2000', freq='D', periods=5)
other = pd.period_range('1/6/2000', freq='H', periods=5)
# TODO: parametrize over boxes for other?
rng = tm.box_expected(rng, box_with_array)
with pytest.raises(IncompatibleFrequency):
rng - other
@pytest.mark.parametrize('n', [1, 2, 3, 4])
def test_sub_n_gt_1_ticks(self, tick_classes, n):
# GH 23878
p1_d = '19910905'
p2_d = '19920406'
p1 = pd.PeriodIndex([p1_d], freq=tick_classes(n))
p2 = pd.PeriodIndex([p2_d], freq=tick_classes(n))
expected = (pd.PeriodIndex([p2_d], freq=p2.freq.base)
- pd.PeriodIndex([p1_d], freq=p1.freq.base))
tm.assert_index_equal((p2 - p1), expected)
@pytest.mark.parametrize('n', [1, 2, 3, 4])
@pytest.mark.parametrize('offset, kwd_name', [
(pd.offsets.YearEnd, 'month'),
(pd.offsets.QuarterEnd, 'startingMonth'),
(pd.offsets.MonthEnd, None),
(pd.offsets.Week, 'weekday')
])
def test_sub_n_gt_1_offsets(self, offset, kwd_name, n):
# GH 23878
kwds = {kwd_name: 3} if kwd_name is not None else {}
p1_d = '19910905'
p2_d = '19920406'
freq = offset(n, normalize=False, **kwds)
p1 = pd.PeriodIndex([p1_d], freq=freq)
p2 = pd.PeriodIndex([p2_d], freq=freq)
result = p2 - p1
expected = (pd.PeriodIndex([p2_d], freq=freq.base)
- pd.PeriodIndex([p1_d], freq=freq.base))
tm.assert_index_equal(result, expected)
# -------------------------------------------------------------
# Invalid Operations
@pytest.mark.parametrize('other', [3.14, np.array([2.0, 3.0])])
@pytest.mark.parametrize('op', [operator.add, ops.radd,
operator.sub, ops.rsub])
def test_parr_add_sub_float_raises(self, op, other, box_with_array):
dti = pd.DatetimeIndex(['2011-01-01', '2011-01-02'], freq='D')
pi = dti.to_period('D')
pi = tm.box_expected(pi, box_with_array)
with pytest.raises(TypeError):
op(pi, other)
@pytest.mark.parametrize('other', [pd.Timestamp.now(),
pd.Timestamp.now().to_pydatetime(),
pd.Timestamp.now().to_datetime64()])
def test_parr_add_sub_datetime_scalar(self, other, box_with_array):
# GH#23215
rng = pd.period_range('1/1/2000', freq='D', periods=3)
rng = tm.box_expected(rng, box_with_array)
with pytest.raises(TypeError):
rng + other
with pytest.raises(TypeError):
other + rng
with pytest.raises(TypeError):
rng - other
with pytest.raises(TypeError):
other - rng
# -----------------------------------------------------------------
# __add__/__sub__ with ndarray[datetime64] and ndarray[timedelta64]
def test_parr_add_sub_dt64_array_raises(self, box_with_array):
rng = pd.period_range('1/1/2000', freq='D', periods=3)
dti = pd.date_range('2016-01-01', periods=3)
dtarr = dti.values
rng = tm.box_expected(rng, box_with_array)
with pytest.raises(TypeError):
rng + dtarr
with pytest.raises(TypeError):
dtarr + rng
with pytest.raises(TypeError):
rng - dtarr
with pytest.raises(TypeError):
dtarr - rng
def test_pi_add_sub_td64_array_non_tick_raises(self):
rng = pd.period_range('1/1/2000', freq='Q', periods=3)
tdi = pd.TimedeltaIndex(['-1 Day', '-1 Day', '-1 Day'])
tdarr = tdi.values
with pytest.raises(IncompatibleFrequency):
rng + tdarr
with pytest.raises(IncompatibleFrequency):
tdarr + rng
with pytest.raises(IncompatibleFrequency):
rng - tdarr
with pytest.raises(TypeError):
tdarr - rng
def test_pi_add_sub_td64_array_tick(self):
# PeriodIndex + Timedelta-like is allowed only with
# tick-like frequencies
rng = pd.period_range('1/1/2000', freq='90D', periods=3)
tdi = pd.TimedeltaIndex(['-1 Day', '-1 Day', '-1 Day'])
tdarr = tdi.values
expected = pd.period_range('12/31/1999', freq='90D', periods=3)
result = rng + tdi
tm.assert_index_equal(result, expected)
result = rng + tdarr
tm.assert_index_equal(result, expected)
result = tdi + rng
tm.assert_index_equal(result, expected)
result = tdarr + rng
tm.assert_index_equal(result, expected)
expected = pd.period_range('1/2/2000', freq='90D', periods=3)
result = rng - tdi
tm.assert_index_equal(result, expected)
result = rng - tdarr
tm.assert_index_equal(result, expected)
with pytest.raises(TypeError):
tdarr - rng
with pytest.raises(TypeError):
tdi - rng
# -----------------------------------------------------------------
# operations with array/Index of DateOffset objects
@pytest.mark.parametrize('box', [np.array, pd.Index])
def test_pi_add_offset_array(self, box):
# GH#18849
pi = pd.PeriodIndex([pd.Period('2015Q1'), pd.Period('2016Q2')])
offs = box([pd.offsets.QuarterEnd(n=1, startingMonth=12),
pd.offsets.QuarterEnd(n=-2, startingMonth=12)])
expected = pd.PeriodIndex([pd.Period('2015Q2'), pd.Period('2015Q4')])
with tm.assert_produces_warning(PerformanceWarning):
res = pi + offs
tm.assert_index_equal(res, expected)
with tm.assert_produces_warning(PerformanceWarning):
res2 = offs + pi
tm.assert_index_equal(res2, expected)
unanchored = np.array([pd.offsets.Hour(n=1),
pd.offsets.Minute(n=-2)])
# addition/subtraction ops with incompatible offsets should issue
# a PerformanceWarning and _then_ raise a TypeError.
with pytest.raises(IncompatibleFrequency):
with tm.assert_produces_warning(PerformanceWarning):
pi + unanchored
with pytest.raises(IncompatibleFrequency):
with tm.assert_produces_warning(PerformanceWarning):
unanchored + pi
@pytest.mark.parametrize('box', [np.array, pd.Index])
def test_pi_sub_offset_array(self, box):
# GH#18824
pi = pd.PeriodIndex([pd.Period('2015Q1'), pd.Period('2016Q2')])
other = box([pd.offsets.QuarterEnd(n=1, startingMonth=12),
pd.offsets.QuarterEnd(n=-2, startingMonth=12)])
expected = PeriodIndex([pi[n] - other[n] for n in range(len(pi))])
with tm.assert_produces_warning(PerformanceWarning):
res = pi - other
tm.assert_index_equal(res, expected)
anchored = box([pd.offsets.MonthEnd(), pd.offsets.Day(n=2)])
# addition/subtraction ops with anchored offsets should issue
# a PerformanceWarning and _then_ raise a TypeError.
with pytest.raises(IncompatibleFrequency):
with tm.assert_produces_warning(PerformanceWarning):
pi - anchored
with pytest.raises(IncompatibleFrequency):
with tm.assert_produces_warning(PerformanceWarning):
anchored - pi
def test_pi_add_iadd_int(self, one):
# Variants of `one` for #19012
rng = pd.period_range('2000-01-01 09:00', freq='H', periods=10)
result = rng + one
expected = pd.period_range('2000-01-01 10:00', freq='H', periods=10)
tm.assert_index_equal(result, expected)
rng += one
tm.assert_index_equal(rng, expected)
def test_pi_sub_isub_int(self, one):
"""
PeriodIndex.__sub__ and __isub__ with several representations of
the integer 1, e.g. int, np.int64, np.uint8, ...
"""
rng = pd.period_range('2000-01-01 09:00', freq='H', periods=10)
result = rng - one
expected = pd.period_range('2000-01-01 08:00', freq='H', periods=10)
tm.assert_index_equal(result, expected)
rng -= one
tm.assert_index_equal(rng, expected)
@pytest.mark.parametrize('five', [5, np.array(5, dtype=np.int64)])
def test_pi_sub_intlike(self, five):
rng = period_range('2007-01', periods=50)
result = rng - five
exp = rng + (-five)
tm.assert_index_equal(result, exp)
def test_pi_sub_isub_offset(self):
# offset
# DateOffset
rng = pd.period_range('2014', '2024', freq='A')
result = rng - pd.offsets.YearEnd(5)
expected = pd.period_range('2009', '2019', freq='A')
tm.assert_index_equal(result, expected)
rng -= pd.offsets.YearEnd(5)
tm.assert_index_equal(rng, expected)
rng = pd.period_range('2014-01', '2016-12', freq='M')
result = rng - pd.offsets.MonthEnd(5)
expected = pd.period_range('2013-08', '2016-07', freq='M')
tm.assert_index_equal(result, expected)
rng -= pd.offsets.MonthEnd(5)
tm.assert_index_equal(rng, expected)
def test_pi_add_offset_n_gt1(self, box_transpose_fail):
# GH#23215
# add offset to PeriodIndex with freq.n > 1
box, transpose = box_transpose_fail
per = pd.Period('2016-01', freq='2M')
pi = pd.PeriodIndex([per])
expected = pd.PeriodIndex(['2016-03'], freq='2M')
pi = tm.box_expected(pi, box, transpose=transpose)
expected = tm.box_expected(expected, box, transpose=transpose)
result = pi + per.freq
tm.assert_equal(result, expected)
result = per.freq + pi
tm.assert_equal(result, expected)
def test_pi_add_offset_n_gt1_not_divisible(self, box_with_array):
# GH#23215
# PeriodIndex with freq.n > 1 add offset with offset.n % freq.n != 0
pi = pd.PeriodIndex(['2016-01'], freq='2M')
expected = pd.PeriodIndex(['2016-04'], freq='2M')
# FIXME: with transposing these tests fail
pi = tm.box_expected(pi, box_with_array, transpose=False)
expected = tm.box_expected(expected, box_with_array, transpose=False)
result = pi + to_offset('3M')
tm.assert_equal(result, expected)
result = to_offset('3M') + pi
tm.assert_equal(result, expected)
# ---------------------------------------------------------------
# __add__/__sub__ with integer arrays
@pytest.mark.parametrize('int_holder', [np.array, pd.Index])
@pytest.mark.parametrize('op', [operator.add, ops.radd])
def test_pi_add_intarray(self, int_holder, op):
# GH#19959
pi = pd.PeriodIndex([pd.Period('2015Q1'), pd.Period('NaT')])
other = int_holder([4, -1])
result = op(pi, other)
expected = pd.PeriodIndex([pd.Period('2016Q1'), pd.Period('NaT')])
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize('int_holder', [np.array, pd.Index])
def test_pi_sub_intarray(self, int_holder):
# GH#19959
pi = pd.PeriodIndex([pd.Period('2015Q1'), pd.Period('NaT')])
other = int_holder([4, -1])
result = pi - other
expected = pd.PeriodIndex([pd.Period('2014Q1'), pd.Period('NaT')])
tm.assert_index_equal(result, expected)
with pytest.raises(TypeError):
other - pi
# ---------------------------------------------------------------
# Timedelta-like (timedelta, timedelta64, Timedelta, Tick)
# TODO: Some of these are misnomers because of non-Tick DateOffsets
def test_pi_add_timedeltalike_minute_gt1(self, three_days):
# GH#23031 adding a time-delta-like offset to a PeriodArray that has
# minute frequency with n != 1. A more general case is tested below
# in test_pi_add_timedeltalike_tick_gt1, but here we write out the
# expected result more explicitly.
other = three_days
rng = pd.period_range('2014-05-01', periods=3, freq='2D')
expected = pd.PeriodIndex(['2014-05-04', '2014-05-06', '2014-05-08'],
freq='2D')
result = rng + other
tm.assert_index_equal(result, expected)
result = other + rng
tm.assert_index_equal(result, expected)
# subtraction
expected = pd.PeriodIndex(['2014-04-28', '2014-04-30', '2014-05-02'],
freq='2D')
result = rng - other
tm.assert_index_equal(result, expected)
with pytest.raises(TypeError):
other - rng
@pytest.mark.parametrize('freqstr', ['5ns', '5us', '5ms',
'5s', '5T', '5h', '5d'])
def test_pi_add_timedeltalike_tick_gt1(self, three_days, freqstr):
# GH#23031 adding a time-delta-like offset to a PeriodArray that has
# tick-like frequency with n != 1
other = three_days
rng = pd.period_range('2014-05-01', periods=6, freq=freqstr)
expected = pd.period_range(rng[0] + other, periods=6, freq=freqstr)
result = rng + other
tm.assert_index_equal(result, expected)
result = other + rng
tm.assert_index_equal(result, expected)
# subtraction
expected = pd.period_range(rng[0] - other, periods=6, freq=freqstr)
result = rng - other
tm.assert_index_equal(result, expected)
with pytest.raises(TypeError):
other - rng
def test_pi_add_iadd_timedeltalike_daily(self, three_days):
# Tick
other = three_days
rng = pd.period_range('2014-05-01', '2014-05-15', freq='D')
expected = pd.period_range('2014-05-04', '2014-05-18', freq='D')
result = rng + other
tm.assert_index_equal(result, expected)
rng += other
tm.assert_index_equal(rng, expected)
def test_pi_sub_isub_timedeltalike_daily(self, three_days):
# Tick-like 3 Days
other = three_days
rng = pd.period_range('2014-05-01', '2014-05-15', freq='D')
expected = pd.period_range('2014-04-28', '2014-05-12', freq='D')
result = rng - other
tm.assert_index_equal(result, expected)
rng -= other
tm.assert_index_equal(rng, expected)
def test_pi_add_sub_timedeltalike_freq_mismatch_daily(self, not_daily):
other = not_daily
rng = pd.period_range('2014-05-01', '2014-05-15', freq='D')
msg = 'Input has different freq(=.+)? from Period.*?\\(freq=D\\)'
with pytest.raises(IncompatibleFrequency, match=msg):
rng + other
with pytest.raises(IncompatibleFrequency, match=msg):
rng += other
with pytest.raises(IncompatibleFrequency, match=msg):
rng - other
with pytest.raises(IncompatibleFrequency, match=msg):
rng -= other
def test_pi_add_iadd_timedeltalike_hourly(self, two_hours):
other = two_hours
rng = pd.period_range('2014-01-01 10:00', '2014-01-05 10:00', freq='H')
expected = pd.period_range('2014-01-01 12:00', '2014-01-05 12:00',
freq='H')
result = rng + other
tm.assert_index_equal(result, expected)
rng += other
tm.assert_index_equal(rng, expected)
def test_pi_add_timedeltalike_mismatched_freq_hourly(self, not_hourly):
other = not_hourly
rng = pd.period_range('2014-01-01 10:00', '2014-01-05 10:00', freq='H')
msg = 'Input has different freq(=.+)? from Period.*?\\(freq=H\\)'
with pytest.raises(IncompatibleFrequency, match=msg):
rng + other
with pytest.raises(IncompatibleFrequency, match=msg):
rng += other
def test_pi_sub_isub_timedeltalike_hourly(self, two_hours):
other = two_hours
rng = pd.period_range('2014-01-01 10:00', '2014-01-05 10:00', freq='H')
expected = pd.period_range('2014-01-01 08:00', '2014-01-05 08:00',
freq='H')
result = rng - other
tm.assert_index_equal(result, expected)
rng -= other
tm.assert_index_equal(rng, expected)
def test_add_iadd_timedeltalike_annual(self):
# offset
# DateOffset
rng = pd.period_range('2014', '2024', freq='A')
result = rng + pd.offsets.YearEnd(5)
expected = pd.period_range('2019', '2029', freq='A')
tm.assert_index_equal(result, expected)
rng += pd.offsets.YearEnd(5)
tm.assert_index_equal(rng, expected)
def test_pi_add_sub_timedeltalike_freq_mismatch_annual(self,
mismatched_freq):
other = mismatched_freq
rng = pd.period_range('2014', '2024', freq='A')
msg = ('Input has different freq(=.+)? '
'from Period.*?\\(freq=A-DEC\\)')
with pytest.raises(IncompatibleFrequency, match=msg):
rng + other
with pytest.raises(IncompatibleFrequency, match=msg):
rng += other
with pytest.raises(IncompatibleFrequency, match=msg):
rng - other
with pytest.raises(IncompatibleFrequency, match=msg):
rng -= other
def test_pi_add_iadd_timedeltalike_M(self):
rng = pd.period_range('2014-01', '2016-12', freq='M')
expected = pd.period_range('2014-06', '2017-05', freq='M')
result = rng + pd.offsets.MonthEnd(5)
tm.assert_index_equal(result, expected)
rng += pd.offsets.MonthEnd(5)
tm.assert_index_equal(rng, expected)
def test_pi_add_sub_timedeltalike_freq_mismatch_monthly(self,
mismatched_freq):
other = mismatched_freq
rng = pd.period_range('2014-01', '2016-12', freq='M')
msg = 'Input has different freq(=.+)? from Period.*?\\(freq=M\\)'
with pytest.raises(IncompatibleFrequency, match=msg):
rng + other
with pytest.raises(IncompatibleFrequency, match=msg):
rng += other
with pytest.raises(IncompatibleFrequency, match=msg):
rng - other
with pytest.raises(IncompatibleFrequency, match=msg):
rng -= other
def test_parr_add_sub_td64_nat(self, box_transpose_fail):
# GH#23320 special handling for timedelta64("NaT")
box, transpose = box_transpose_fail
pi = pd.period_range("1994-04-01", periods=9, freq="19D")
other = np.timedelta64("NaT")
expected = pd.PeriodIndex(["NaT"] * 9, freq="19D")
obj = tm.box_expected(pi, box, transpose=transpose)
expected = tm.box_expected(expected, box, transpose=transpose)
result = obj + other
tm.assert_equal(result, expected)
result = other + obj
tm.assert_equal(result, expected)
result = obj - other
tm.assert_equal(result, expected)
with pytest.raises(TypeError):
other - obj
class TestPeriodSeriesArithmetic:
def test_ops_series_timedelta(self):
# GH#13043
ser = pd.Series([pd.Period('2015-01-01', freq='D'),
pd.Period('2015-01-02', freq='D')], name='xxx')
assert ser.dtype == 'Period[D]'
expected = pd.Series([pd.Period('2015-01-02', freq='D'),
pd.Period('2015-01-03', freq='D')], name='xxx')
result = ser + pd.Timedelta('1 days')
tm.assert_series_equal(result, expected)
result = pd.Timedelta('1 days') + ser
tm.assert_series_equal(result, expected)
result = ser + pd.tseries.offsets.Day()
tm.assert_series_equal(result, expected)
result = pd.tseries.offsets.Day() + ser
tm.assert_series_equal(result, expected)
def test_ops_series_period(self):
# GH#13043
ser = pd.Series([pd.Period('2015-01-01', freq='D'),
pd.Period('2015-01-02', freq='D')], name='xxx')
assert ser.dtype == "Period[D]"
per = pd.Period('2015-01-10', freq='D')
off = per.freq
# dtype will be object because of original dtype
expected = pd.Series([9 * off, 8 * off], name='xxx', dtype=object)