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
def test_normalize_nat(self):
dti = DatetimeIndex([pd.NaT, Timestamp('2018-01-01 01:00:00')])
result = dti.normalize()
expected = DatetimeIndex([pd.NaT, Timestamp('2018-01-01')])
tm.assert_index_equal(result, expected)
def test_normalize_nat(self):
dti = DatetimeIndex([pd.NaT, Timestamp("2018-01-01 01:00:00")])
result = dti.normalize()
expected = DatetimeIndex([pd.NaT, Timestamp("2018-01-01")])
tm.assert_index_equal(result, expected)
