Question:
When I run the example in the doc:
n_season = 4
y0 = [datetime(2000, 1, 1), datetime(2000, 4, 1), datetime(2000, 7, 1), datetime(2000, 10, 1)]
multi_obs_dts = [np.array([y+timedelta(days=365*item) for item in range(19)]) for y in y0]
multi_obs = [np.array([3.20, 2.92, 3.95, 1.80, 2.45, 2.70, 2.22, 2.10, 2.08, 2.21, 1.93, 2.15, 2.03, 1.82, 1.94, 2.24, 1.67, 1.34, 1.61]),
np.array([3.92, 2.99, 4.37, 3.04, 3.12, 4.07, 3.91, 3.42, 2.94, 3.14, 2.53, 2.80, 2.98, 2.86, 3.22, 2.31, 2.03, 1.59, 2.14]),
np.array([4.56, 4.13, 4.31, 1.83, 3.22, 5.06, 4.39, 4.13, 4.06, 3.20, 4.01, 3.62, 3.78, 3.61, 3.42, 3.65, 2.39, 3.01, 3.03]),
np.array([4.22, 4.78, 2.96, 3.23, 2.82, 2.96, 3.12, 3.49, 2.73, 2.61, 3.00, 2.66, 3.49, 2.58, 2.32, 2.10, 2.38, 2.29, 2.07])]
out = mk.mk_temp_aggr(multi_obs_dts, multi_obs, 0.001)
for n in range(n_season):
print('Season {ind}:'.format(ind=n+1), out[n])
print('Combined yearly trend:', out[n_season])
I get the same result as the doc provided. However, if I run them separately, e.g. mk.mk_temp_aggr(multi_obs_dts[:2], multi_obs[:2], 0.001), the results are different. Why could it be like this? Shouldn't the first four results in out be the same as the standalone MK test for each season?
Question:
When I run the example in the doc:
n_season = 4
y0 = [datetime(2000, 1, 1), datetime(2000, 4, 1), datetime(2000, 7, 1), datetime(2000, 10, 1)]
multi_obs_dts = [np.array([y+timedelta(days=365*item) for item in range(19)]) for y in y0]
multi_obs = [np.array([3.20, 2.92, 3.95, 1.80, 2.45, 2.70, 2.22, 2.10, 2.08, 2.21, 1.93, 2.15, 2.03, 1.82, 1.94, 2.24, 1.67, 1.34, 1.61]),
np.array([3.92, 2.99, 4.37, 3.04, 3.12, 4.07, 3.91, 3.42, 2.94, 3.14, 2.53, 2.80, 2.98, 2.86, 3.22, 2.31, 2.03, 1.59, 2.14]),
np.array([4.56, 4.13, 4.31, 1.83, 3.22, 5.06, 4.39, 4.13, 4.06, 3.20, 4.01, 3.62, 3.78, 3.61, 3.42, 3.65, 2.39, 3.01, 3.03]),
np.array([4.22, 4.78, 2.96, 3.23, 2.82, 2.96, 3.12, 3.49, 2.73, 2.61, 3.00, 2.66, 3.49, 2.58, 2.32, 2.10, 2.38, 2.29, 2.07])]
out = mk.mk_temp_aggr(multi_obs_dts, multi_obs, 0.001)
for n in range(n_season):
print('Season {ind}:'.format(ind=n+1), out[n])
print('Combined yearly trend:', out[n_season])
I get the same result as the doc provided. However, if I run them separately, e.g. mk.mk_temp_aggr(multi_obs_dts[:2], multi_obs[:2], 0.001), the results are different. Why could it be like this? Shouldn't the first four results in out be the same as the standalone MK test for each season?