def test_missing(self, ndq_series):
a = ndq_series
a = ndq_series.where(~((a.time.dt.dayofyear == 5) * (a.time.dt.year == 1902)))
assert a.shape == (5000, 2, 3)
out = land.stats(a, op="max", month=1)
np.testing.assert_array_equal(out.sel(time="1900").isnull(), False)
np.testing.assert_array_equal(out.sel(time="1902").isnull(), True)
def test_simple(self, ndq_series):
ts = land.stats(ndq_series, freq="YS", op="max")
p = land.fit(ts, dist="gumbel_r")
assert p.attrs["estimator"] == "Maximum likelihood"
def test_simple(self, ndq_series):
out = land.stats(ndq_series, freq="YS", op="min", season="MAM")
assert out.attrs["units"] == "m^3 s-1"
