craftbeerpi4-pione/venv/lib/python3.8/site-packages/pandas/tests/indexes/test_datetimelike.py

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"""
Tests shared for DatetimeIndex/TimedeltaIndex/PeriodIndex
"""
from datetime import datetime, timedelta
import numpy as np
import pytest
import pandas as pd
from pandas import (
CategoricalIndex,
DatetimeIndex,
Index,
PeriodIndex,
TimedeltaIndex,
date_range,
period_range,
)
import pandas._testing as tm
class EqualsTests:
def test_not_equals_numeric(self, index):
assert not index.equals(Index(index.asi8))
assert not index.equals(Index(index.asi8.astype("u8")))
assert not index.equals(Index(index.asi8).astype("f8"))
def test_equals(self, index):
assert index.equals(index)
assert index.equals(index.astype(object))
assert index.equals(CategoricalIndex(index))
assert index.equals(CategoricalIndex(index.astype(object)))
def test_not_equals_non_arraylike(self, index):
assert not index.equals(list(index))
def test_not_equals_strings(self, index):
other = Index([str(x) for x in index], dtype=object)
assert not index.equals(other)
assert not index.equals(CategoricalIndex(other))
def test_not_equals_misc_strs(self, index):
other = Index(list("abc"))
assert not index.equals(other)
class TestPeriodIndexEquals(EqualsTests):
@pytest.fixture
def index(self):
return period_range("2013-01-01", periods=5, freq="D")
# TODO: de-duplicate with other test_equals2 methods
@pytest.mark.parametrize("freq", ["D", "M"])
def test_equals2(self, freq):
# GH#13107
idx = PeriodIndex(["2011-01-01", "2011-01-02", "NaT"], freq=freq)
assert idx.equals(idx)
assert idx.equals(idx.copy())
assert idx.equals(idx.astype(object))
assert idx.astype(object).equals(idx)
assert idx.astype(object).equals(idx.astype(object))
assert not idx.equals(list(idx))
assert not idx.equals(pd.Series(idx))
idx2 = PeriodIndex(["2011-01-01", "2011-01-02", "NaT"], freq="H")
assert not idx.equals(idx2)
assert not idx.equals(idx2.copy())
assert not idx.equals(idx2.astype(object))
assert not idx.astype(object).equals(idx2)
assert not idx.equals(list(idx2))
assert not idx.equals(pd.Series(idx2))
# same internal, different tz
idx3 = PeriodIndex._simple_new(
idx._values._simple_new(idx._values.asi8, freq="H")
)
tm.assert_numpy_array_equal(idx.asi8, idx3.asi8)
assert not idx.equals(idx3)
assert not idx.equals(idx3.copy())
assert not idx.equals(idx3.astype(object))
assert not idx.astype(object).equals(idx3)
assert not idx.equals(list(idx3))
assert not idx.equals(pd.Series(idx3))
class TestDatetimeIndexEquals(EqualsTests):
@pytest.fixture
def index(self):
return date_range("2013-01-01", periods=5)
def test_equals2(self):
# GH#13107
idx = DatetimeIndex(["2011-01-01", "2011-01-02", "NaT"])
assert idx.equals(idx)
assert idx.equals(idx.copy())
assert idx.equals(idx.astype(object))
assert idx.astype(object).equals(idx)
assert idx.astype(object).equals(idx.astype(object))
assert not idx.equals(list(idx))
assert not idx.equals(pd.Series(idx))
idx2 = DatetimeIndex(["2011-01-01", "2011-01-02", "NaT"], tz="US/Pacific")
assert not idx.equals(idx2)
assert not idx.equals(idx2.copy())
assert not idx.equals(idx2.astype(object))
assert not idx.astype(object).equals(idx2)
assert not idx.equals(list(idx2))
assert not idx.equals(pd.Series(idx2))
# same internal, different tz
idx3 = DatetimeIndex(idx.asi8, tz="US/Pacific")
tm.assert_numpy_array_equal(idx.asi8, idx3.asi8)
assert not idx.equals(idx3)
assert not idx.equals(idx3.copy())
assert not idx.equals(idx3.astype(object))
assert not idx.astype(object).equals(idx3)
assert not idx.equals(list(idx3))
assert not idx.equals(pd.Series(idx3))
# check that we do not raise when comparing with OutOfBounds objects
oob = Index([datetime(2500, 1, 1)] * 3, dtype=object)
assert not idx.equals(oob)
assert not idx2.equals(oob)
assert not idx3.equals(oob)
# check that we do not raise when comparing with OutOfBounds dt64
oob2 = oob.map(np.datetime64)
assert not idx.equals(oob2)
assert not idx2.equals(oob2)
assert not idx3.equals(oob2)
@pytest.mark.parametrize("freq", ["B", "C"])
def test_not_equals_bday(self, freq):
rng = date_range("2009-01-01", "2010-01-01", freq=freq)
assert not rng.equals(list(rng))
class TestTimedeltaIndexEquals(EqualsTests):
@pytest.fixture
def index(self):
return tm.makeTimedeltaIndex(10)
def test_equals2(self):
# GH#13107
idx = TimedeltaIndex(["1 days", "2 days", "NaT"])
assert idx.equals(idx)
assert idx.equals(idx.copy())
assert idx.equals(idx.astype(object))
assert idx.astype(object).equals(idx)
assert idx.astype(object).equals(idx.astype(object))
assert not idx.equals(list(idx))
assert not idx.equals(pd.Series(idx))
idx2 = TimedeltaIndex(["2 days", "1 days", "NaT"])
assert not idx.equals(idx2)
assert not idx.equals(idx2.copy())
assert not idx.equals(idx2.astype(object))
assert not idx.astype(object).equals(idx2)
assert not idx.astype(object).equals(idx2.astype(object))
assert not idx.equals(list(idx2))
assert not idx.equals(pd.Series(idx2))
# Check that we dont raise OverflowError on comparisons outside the
# implementation range
oob = Index([timedelta(days=10 ** 6)] * 3, dtype=object)
assert not idx.equals(oob)
assert not idx2.equals(oob)
# FIXME: oob.apply(np.timedelta64) incorrectly overflows
oob2 = Index([np.timedelta64(x) for x in oob], dtype=object)
assert not idx.equals(oob2)
assert not idx2.equals(oob2)