def test_take_fill_valid(self, datetime_index, tz_naive_fixture):
dti = datetime_index.tz_localize(tz_naive_fixture)
arr = DatetimeArray(dti)
now = pd.Timestamp.now().tz_localize(dti.tz)
result = arr.take([-1, 1], allow_fill=True, fill_value=now)
assert result[0] == now
msg = f"'fill_value' should be a {self.dtype}. Got '0 days 00:00:00'."
with pytest.raises(ValueError, match=msg):
# fill_value Timedelta invalid
arr.take([-1, 1], allow_fill=True, fill_value=now - now)
msg = f"'fill_value' should be a {self.dtype}. Got '2014Q1'."
with pytest.raises(ValueError, match=msg):
# fill_value Period invalid
arr.take([-1, 1], allow_fill=True, fill_value=pd.Period("2014Q1"))
tz = None if dti.tz is not None else "US/Eastern"
now = pd.Timestamp.now().tz_localize(tz)
msg = "Cannot compare tz-naive and tz-aware datetime-like objects"
with pytest.raises(TypeError, match=msg):
# Timestamp with mismatched tz-awareness
arr.take([-1, 1], allow_fill=True, fill_value=now)
value = pd.NaT.value
msg = f"'fill_value' should be a {self.dtype}. Got '{value}'."
with pytest.raises(ValueError, match=msg):
# require NaT, not iNaT, as it could be confused with an integer
arr.take([-1, 1], allow_fill=True, fill_value=value)
def test_take_fill_valid(self, datetime_index, tz_naive_fixture):
dti = datetime_index.tz_localize(tz_naive_fixture)
arr = DatetimeArray(dti)
now = pd.Timestamp.now().tz_localize(dti.tz)
result = arr.take([-1, 1], allow_fill=True, fill_value=now)
assert result[0] == now
with pytest.raises(ValueError):
# fill_value Timedelta invalid
arr.take([-1, 1], allow_fill=True, fill_value=now - now)
with pytest.raises(ValueError):
# fill_value Period invalid
arr.take([-1, 1], allow_fill=True, fill_value=pd.Period('2014Q1'))
tz = None if dti.tz is not None else 'US/Eastern'
now = pd.Timestamp.now().tz_localize(tz)
with pytest.raises(TypeError):
# Timestamp with mismatched tz-awareness
arr.take([-1, 1], allow_fill=True, fill_value=now)
with pytest.raises(ValueError):
# require NaT, not iNaT, as it could be confused with an integer
arr.take([-1, 1], allow_fill=True, fill_value=pd.NaT.value)
def test_take_fill_valid(self, datetime_index, tz_naive_fixture):
dti = datetime_index.tz_localize(tz_naive_fixture)
arr = DatetimeArray(dti)
now = pd.Timestamp.now().tz_localize(dti.tz)
result = arr.take([-1, 1], allow_fill=True, fill_value=now)
assert result[0] == now
with pytest.raises(ValueError):
# fill_value Timedelta invalid
arr.take([-1, 1], allow_fill=True, fill_value=now - now)
with pytest.raises(ValueError):
# fill_value Period invalid
arr.take([-1, 1], allow_fill=True, fill_value=pd.Period("2014Q1"))
tz = None if dti.tz is not None else "US/Eastern"
now = pd.Timestamp.now().tz_localize(tz)
with pytest.raises(TypeError):
# Timestamp with mismatched tz-awareness
arr.take([-1, 1], allow_fill=True, fill_value=now)
with pytest.raises(ValueError):
# require NaT, not iNaT, as it could be confused with an integer
arr.take([-1, 1], allow_fill=True, fill_value=pd.NaT.value)
def test_take_fill_valid(self, datetime_index, tz_naive_fixture):
dti = datetime_index.tz_localize(tz_naive_fixture)
arr = DatetimeArray(dti)
now = pd.Timestamp.now().tz_localize(dti.tz)
result = arr.take([-1, 1], allow_fill=True, fill_value=now)
assert result[0] == now
with pytest.raises(ValueError):
# fill_value Timedelta invalid
arr.take([-1, 1], allow_fill=True, fill_value=now - now)
with pytest.raises(ValueError):
# fill_value Period invalid
arr.take([-1, 1], allow_fill=True, fill_value=pd.Period('2014Q1'))
tz = None if dti.tz is not None else 'US/Eastern'
now = pd.Timestamp.now().tz_localize(tz)
with pytest.raises(TypeError):
# Timestamp with mismatched tz-awareness
arr.take([-1, 1], allow_fill=True, fill_value=now)