354 lines
11 KiB
Python
354 lines
11 KiB
Python
import numpy as np
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import pytest
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from pandas._libs.tslibs.period import IncompatibleFrequency
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from pandas import (
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Index,
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NaT,
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Period,
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PeriodIndex,
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Series,
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date_range,
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offsets,
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period_range,
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)
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import pandas._testing as tm
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from pandas.tests.indexes.datetimelike import DatetimeLike
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class TestPeriodIndex(DatetimeLike):
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_index_cls = PeriodIndex
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@pytest.fixture
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def simple_index(self) -> Index:
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return period_range("20130101", periods=5, freq="D")
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@pytest.fixture(
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params=[
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tm.makePeriodIndex(10),
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period_range("20130101", periods=10, freq="D")[::-1],
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],
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ids=["index_inc", "index_dec"],
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)
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def index(self, request):
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return request.param
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def test_where(self):
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# This is handled in test_indexing
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pass
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def test_make_time_series(self):
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index = period_range(freq="A", start="1/1/2001", end="12/1/2009")
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series = Series(1, index=index)
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assert isinstance(series, Series)
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def test_view_asi8(self):
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idx = PeriodIndex([], freq="M")
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exp = np.array([], dtype=np.int64)
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tm.assert_numpy_array_equal(idx.view("i8"), exp)
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tm.assert_numpy_array_equal(idx.asi8, exp)
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idx = PeriodIndex(["2011-01", NaT], freq="M")
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exp = np.array([492, -9223372036854775808], dtype=np.int64)
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tm.assert_numpy_array_equal(idx.view("i8"), exp)
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tm.assert_numpy_array_equal(idx.asi8, exp)
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exp = np.array([14975, -9223372036854775808], dtype=np.int64)
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idx = PeriodIndex(["2011-01-01", NaT], freq="D")
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tm.assert_numpy_array_equal(idx.view("i8"), exp)
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tm.assert_numpy_array_equal(idx.asi8, exp)
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def test_values(self):
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idx = PeriodIndex([], freq="M")
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exp = np.array([], dtype=object)
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tm.assert_numpy_array_equal(idx.values, exp)
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tm.assert_numpy_array_equal(idx.to_numpy(), exp)
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exp = np.array([], dtype=np.int64)
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tm.assert_numpy_array_equal(idx.asi8, exp)
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idx = PeriodIndex(["2011-01", NaT], freq="M")
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exp = np.array([Period("2011-01", freq="M"), NaT], dtype=object)
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tm.assert_numpy_array_equal(idx.values, exp)
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tm.assert_numpy_array_equal(idx.to_numpy(), exp)
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exp = np.array([492, -9223372036854775808], dtype=np.int64)
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tm.assert_numpy_array_equal(idx.asi8, exp)
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idx = PeriodIndex(["2011-01-01", NaT], freq="D")
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exp = np.array([Period("2011-01-01", freq="D"), NaT], dtype=object)
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tm.assert_numpy_array_equal(idx.values, exp)
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tm.assert_numpy_array_equal(idx.to_numpy(), exp)
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exp = np.array([14975, -9223372036854775808], dtype=np.int64)
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tm.assert_numpy_array_equal(idx.asi8, exp)
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def test_period_index_length(self):
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pi = period_range(freq="A", start="1/1/2001", end="12/1/2009")
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assert len(pi) == 9
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pi = period_range(freq="Q", start="1/1/2001", end="12/1/2009")
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assert len(pi) == 4 * 9
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pi = period_range(freq="M", start="1/1/2001", end="12/1/2009")
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assert len(pi) == 12 * 9
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start = Period("02-Apr-2005", "B")
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i1 = period_range(start=start, periods=20)
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assert len(i1) == 20
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assert i1.freq == start.freq
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assert i1[0] == start
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end_intv = Period("2006-12-31", "W")
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i1 = period_range(end=end_intv, periods=10)
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assert len(i1) == 10
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assert i1.freq == end_intv.freq
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assert i1[-1] == end_intv
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end_intv = Period("2006-12-31", "1w")
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i2 = period_range(end=end_intv, periods=10)
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assert len(i1) == len(i2)
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assert (i1 == i2).all()
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assert i1.freq == i2.freq
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msg = "start and end must have same freq"
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with pytest.raises(ValueError, match=msg):
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period_range(start=start, end=end_intv)
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end_intv = Period("2005-05-01", "B")
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i1 = period_range(start=start, end=end_intv)
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msg = (
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"Of the three parameters: start, end, and periods, exactly two "
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"must be specified"
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)
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with pytest.raises(ValueError, match=msg):
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period_range(start=start)
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# infer freq from first element
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i2 = PeriodIndex([end_intv, Period("2005-05-05", "B")])
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assert len(i2) == 2
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assert i2[0] == end_intv
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i2 = PeriodIndex(np.array([end_intv, Period("2005-05-05", "B")]))
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assert len(i2) == 2
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assert i2[0] == end_intv
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# Mixed freq should fail
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vals = [end_intv, Period("2006-12-31", "w")]
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msg = r"Input has different freq=W-SUN from PeriodIndex\(freq=B\)"
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with pytest.raises(IncompatibleFrequency, match=msg):
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PeriodIndex(vals)
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vals = np.array(vals)
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with pytest.raises(ValueError, match=msg):
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PeriodIndex(vals)
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def test_fields(self):
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# year, month, day, hour, minute
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# second, weekofyear, week, dayofweek, weekday, dayofyear, quarter
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# qyear
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pi = period_range(freq="A", start="1/1/2001", end="12/1/2005")
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self._check_all_fields(pi)
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pi = period_range(freq="Q", start="1/1/2001", end="12/1/2002")
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self._check_all_fields(pi)
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pi = period_range(freq="M", start="1/1/2001", end="1/1/2002")
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self._check_all_fields(pi)
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pi = period_range(freq="D", start="12/1/2001", end="6/1/2001")
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self._check_all_fields(pi)
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pi = period_range(freq="B", start="12/1/2001", end="6/1/2001")
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self._check_all_fields(pi)
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pi = period_range(freq="H", start="12/31/2001", end="1/1/2002 23:00")
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self._check_all_fields(pi)
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pi = period_range(freq="Min", start="12/31/2001", end="1/1/2002 00:20")
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self._check_all_fields(pi)
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pi = period_range(
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freq="S", start="12/31/2001 00:00:00", end="12/31/2001 00:05:00"
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)
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self._check_all_fields(pi)
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end_intv = Period("2006-12-31", "W")
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i1 = period_range(end=end_intv, periods=10)
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self._check_all_fields(i1)
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def _check_all_fields(self, periodindex):
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fields = [
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"year",
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"month",
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"day",
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"hour",
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"minute",
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"second",
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"weekofyear",
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"week",
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"dayofweek",
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"day_of_week",
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"dayofyear",
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"day_of_year",
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"quarter",
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"qyear",
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"days_in_month",
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]
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periods = list(periodindex)
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ser = Series(periodindex)
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for field in fields:
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field_idx = getattr(periodindex, field)
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assert len(periodindex) == len(field_idx)
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for x, val in zip(periods, field_idx):
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assert getattr(x, field) == val
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if len(ser) == 0:
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continue
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field_s = getattr(ser.dt, field)
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assert len(periodindex) == len(field_s)
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for x, val in zip(periods, field_s):
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assert getattr(x, field) == val
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def test_is_(self):
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create_index = lambda: period_range(freq="A", start="1/1/2001", end="12/1/2009")
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index = create_index()
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assert index.is_(index)
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assert not index.is_(create_index())
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assert index.is_(index.view())
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assert index.is_(index.view().view().view().view().view())
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assert index.view().is_(index)
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ind2 = index.view()
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index.name = "Apple"
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assert ind2.is_(index)
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assert not index.is_(index[:])
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assert not index.is_(index.asfreq("M"))
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assert not index.is_(index.asfreq("A"))
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assert not index.is_(index - 2)
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assert not index.is_(index - 0)
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def test_index_unique(self):
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idx = PeriodIndex([2000, 2007, 2007, 2009, 2009], freq="A-JUN")
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expected = PeriodIndex([2000, 2007, 2009], freq="A-JUN")
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tm.assert_index_equal(idx.unique(), expected)
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assert idx.nunique() == 3
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def test_shift(self):
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# This is tested in test_arithmetic
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pass
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def test_negative_ordinals(self):
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Period(ordinal=-1000, freq="A")
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Period(ordinal=0, freq="A")
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idx1 = PeriodIndex(ordinal=[-1, 0, 1], freq="A")
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idx2 = PeriodIndex(ordinal=np.array([-1, 0, 1]), freq="A")
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tm.assert_index_equal(idx1, idx2)
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def test_pindex_fieldaccessor_nat(self):
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idx = PeriodIndex(
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["2011-01", "2011-02", "NaT", "2012-03", "2012-04"], freq="D", name="name"
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)
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exp = Index([2011, 2011, -1, 2012, 2012], dtype=np.int64, name="name")
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tm.assert_index_equal(idx.year, exp)
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exp = Index([1, 2, -1, 3, 4], dtype=np.int64, name="name")
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tm.assert_index_equal(idx.month, exp)
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def test_pindex_multiples(self):
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expected = PeriodIndex(
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["2011-01", "2011-03", "2011-05", "2011-07", "2011-09", "2011-11"],
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freq="2M",
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)
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pi = period_range(start="1/1/11", end="12/31/11", freq="2M")
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tm.assert_index_equal(pi, expected)
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assert pi.freq == offsets.MonthEnd(2)
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assert pi.freqstr == "2M"
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pi = period_range(start="1/1/11", periods=6, freq="2M")
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tm.assert_index_equal(pi, expected)
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assert pi.freq == offsets.MonthEnd(2)
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assert pi.freqstr == "2M"
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def test_iteration(self):
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index = period_range(start="1/1/10", periods=4, freq="B")
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result = list(index)
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assert isinstance(result[0], Period)
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assert result[0].freq == index.freq
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def test_with_multi_index(self):
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# #1705
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index = date_range("1/1/2012", periods=4, freq="12H")
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index_as_arrays = [index.to_period(freq="D"), index.hour]
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s = Series([0, 1, 2, 3], index_as_arrays)
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assert isinstance(s.index.levels[0], PeriodIndex)
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assert isinstance(s.index.values[0][0], Period)
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def test_map(self):
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# test_map_dictlike generally tests
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index = PeriodIndex([2005, 2007, 2009], freq="A")
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result = index.map(lambda x: x.ordinal)
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exp = Index([x.ordinal for x in index])
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tm.assert_index_equal(result, exp)
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def test_format_empty(self):
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# GH35712
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empty_idx = self._index_cls([], freq="A")
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assert empty_idx.format() == []
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assert empty_idx.format(name=True) == [""]
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def test_maybe_convert_timedelta():
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pi = PeriodIndex(["2000", "2001"], freq="D")
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offset = offsets.Day(2)
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assert pi._maybe_convert_timedelta(offset) == 2
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assert pi._maybe_convert_timedelta(2) == 2
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offset = offsets.BusinessDay()
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msg = r"Input has different freq=B from PeriodIndex\(freq=D\)"
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with pytest.raises(ValueError, match=msg):
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pi._maybe_convert_timedelta(offset)
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@pytest.mark.parametrize("array", [True, False])
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def test_dunder_array(array):
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obj = PeriodIndex(["2000-01-01", "2001-01-01"], freq="D")
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if array:
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obj = obj._data
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expected = np.array([obj[0], obj[1]], dtype=object)
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result = np.array(obj)
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tm.assert_numpy_array_equal(result, expected)
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result = np.asarray(obj)
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tm.assert_numpy_array_equal(result, expected)
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expected = obj.asi8
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for dtype in ["i8", "int64", np.int64]:
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result = np.array(obj, dtype=dtype)
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tm.assert_numpy_array_equal(result, expected)
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result = np.asarray(obj, dtype=dtype)
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tm.assert_numpy_array_equal(result, expected)
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for dtype in ["float64", "int32", "uint64"]:
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msg = "argument must be"
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with pytest.raises(TypeError, match=msg):
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np.array(obj, dtype=dtype)
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with pytest.raises(TypeError, match=msg):
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np.array(obj, dtype=getattr(np, dtype))
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