def test_doctest_ndims(self):
"""Replicates doctest to facilitate debugging."""
tas = open_dataset("ERA5/daily_surface_cancities_1990-1993.nc").tas
t90 = percentile_doy(tas.sel(time=slice("1990-01-01", "1991-12-31")),
window=5,
per=90)
tg90p(tas=tas, t90=t90.isel(percentiles=0), freq="YS", bootstrap=True)
tg90p(tas=tas, t90=t90, freq="YS", bootstrap=True)
def test_bootstrap_tg90p(self, tas_series, use_dask):
self.bootstrap_testor(
tas_series,
98,
lambda x, y, z: tg90p(x, y, freq="MS", bootstrap=z),
use_dask=use_dask,
)
def test_multi_per(self):
tas = open_dataset("ERA5/daily_surface_cancities_1990-1993.nc").tas
t90 = percentile_doy(tas.sel(time=slice("1990-01-01", "1991-12-31")),
window=5,
per=[90, 91])
res = tg90p(tas=tas, t90=t90, freq="YS", bootstrap=True)
np.testing.assert_array_equal([90, 91], res.percentiles)
def test_tg90p_simple(self, tas_series):
i = 366
tas = np.array(range(i))
tas = tas_series(tas, start="1/1/2000")
t90 = percentile_doy(tas, per=0.1)
# create cold spell in june
tas[175:180] = 1
out = xci.tg90p(tas, t90, freq="MS")
assert out[0] == 30
assert out[1] == 29
assert out[5] == 25