def test_bad_frequency(self, date_range):
with pytest.raises(ValidationError):
n = 365
times = date_range("2000-01-01", freq="12H", periods=n)
da = xr.DataArray(np.arange(n), [("time", times)],
attrs=self.tas_attrs)
tg_mean(da)
def test_decreasing_index(self, date_range):
with pytest.raises(ValidationError):
n = 365
times = date_range("2000-01-01", freq="12H", periods=n)
da = xr.DataArray(np.arange(n), [("time", times[::-1])],
attrs=self.tas_attrs)
tg_mean(da)
def test_bad_frequency(self):
with pytest.raises(ValueError):
n = 365
times = pd.date_range("2000-01-01", freq="12H", periods=n)
da = xr.DataArray(np.arange(n), [("time", times)],
attrs={"units": "K"})
tg_mean(da)
def test_duplicate_dates(self, date_range):
with pytest.raises(ValidationError):
n = 365
times = date_range("2000-01-01", freq="1D", periods=n)
times = times.append(date_range("2000-12-29", freq="1D",
periods=n))
da = xr.DataArray(np.arange(2 * n), [("time", times)],
attrs=self.tas_attrs)
tg_mean(da)
def test_missing_one_day_between_two_years(self, date_range):
with pytest.raises(ValidationError):
n = 365
times = date_range("2000-01-01", freq="1D", periods=n)
times = times.append(date_range("2001-01-01", freq="1D",
periods=n))
da = xr.DataArray(np.arange(2 * n), [("time", times)],
attrs=self.tas_attrs)
tg_mean(da)
def test_duplicate_dates(self):
with pytest.raises(ValueError):
n = 365
times = pd.date_range("2000-01-01", freq="1D", periods=n)
times = times.append(
pd.date_range("2000-12-29", freq="1D", periods=n))
da = xr.DataArray(np.arange(2 * n), [("time", times)],
attrs={"units": "K"})
tg_mean(da)
def test_missing_one_day_between_two_years(self):
with pytest.raises(ValueError):
n = 365
times = pd.date_range("2000-01-01", freq="1D", periods=n)
times = times.append(
pd.date_range("2001-01-01", freq="1D", periods=n))
da = xr.DataArray(np.arange(2 * n), [("time", times)],
attrs={"units": "K"})
tg_mean(da)
def test_assert_daily(self, date_range):
n = 365 # one day short of a full year
times = date_range("2000-01-01", freq="1D", periods=n)
da = xr.DataArray(np.arange(n), [("time", times)],
attrs=self.tas_attrs)
tg_mean(da)
def test_assert_daily(self):
n = 365 # one day short of a full year
times = pd.date_range("2000-01-01", freq="1D", periods=n)
da = xr.DataArray(np.arange(n), [("time", times)],
attrs={"units": "K"})
tg_mean(da)
