def test_missing_period(self, tas_series):
tas = tas_series(np.ones(366), start="2000-01-01")
tas = tas.sel(time=tas.time.dt.month.isin([1, 2, 3, 4, 12]))
out = missing.missing_pct(tas,
freq="MS",
tolerance=0.9,
src_timestep="D")
np.testing.assert_array_equal(out, [False] * 4 + [True] * 7 + [False])
def test_missing_days(self, tas_series):
a = np.arange(360.0)
a[5:7] = np.nan # Number of missing values under acceptable limit in a month
a[40:45] = np.nan # Too many missing values
ts = tas_series(a)
out = missing.missing_pct(ts, freq="MS", tolerance=0.1)
assert not out[0]
assert out[1]
def test_pct(self, pr_hr_series):
pr = self.pr(pr_hr_series)
out = missing.missing_pct(pr, "D", src_timestep="H", tolerance=0.1)
np.testing.assert_array_equal(
out,
9 * [
False,
] + [
True,
],
)
def test_hourly(self, pr_hr_series):
a = np.arange(2.0 * 32 * 24)
a[5:50] = np.nan
pr = pr_hr_series(a)
out = missing.missing_pct(pr, freq="MS", tolerance=0.01)
np.testing.assert_array_equal(out, [True, False, True])