def test_speed_01(self):
from_axis = DailyTimeAxisBuilder(start_date=date(2000, 1, 1),
end_date=date(2020, 1, 1)).build()
to_axis = MonthlyTimeAxisBuilder(start_year=2000,
end_year=2019).build()
tc = AxisRemapper(from_axis=from_axis, to_axis=to_axis)
from_data = np.random.random((from_axis.nelem, 100, 100))
import time
start = time.time()
for i in range(1):
tc.min(from_data)
end = time.time()
print(f"Took: %f [s]", end - start)
import time
start = time.time()
for i in range(1):
tc.min(from_data)
end = time.time()
print(f"Took: %f [s]", end - start)
def test_dask_min(self):
from_axis = DailyTimeAxisBuilder(start_date=date(2019, 1, 1),
n_interval=14).build()
to_axis = WeeklyTimeAxisBuilder(start_date=date(2019, 1, 1),
n_interval=3).build()
tc = AxisRemapper(from_axis=from_axis,
to_axis=to_axis,
assure_no_bound_mismatch=False)
from_data = da.arange(14, dtype='float64')
to_data = tc.min(from_data).compute()
np.testing.assert_almost_equal(
to_data,
np.array([0.0, 7.0, np.nan]).reshape(3, 1))
def test_min_01(self):
from_axis = DailyTimeAxisBuilder(start_date=date(2019, 1, 1),
n_interval=14).build()
to_axis = WeeklyTimeAxisBuilder(start_date=date(2019, 1, 1),
n_interval=2).build()
tc = AxisRemapper(from_axis=from_axis, to_axis=to_axis)
from_data = list(range(1, 15))
to_data = tc.min(from_data)
self.assertAlmostEqual(1.0, to_data[0, 0], 0)
self.assertAlmostEqual(8.0, to_data[1, 0], 0)
def test_min_05(self):
from_axis = DailyTimeAxisBuilder(start_date=date(2019, 1, 1),
n_interval=14).build()
to_axis = WeeklyTimeAxisBuilder(start_date=date(2019, 1, 1),
n_interval=3).build()
tc = AxisRemapper(from_axis=from_axis,
to_axis=to_axis,
assure_no_bound_mismatch=False)
from_data = list(range(1, 15))
to_data = tc.min(from_data)
self.assertAlmostEqual(1.0, to_data[0, 0], 0)
self.assertAlmostEqual(8.0, to_data[1, 0], 0)
self.assertTrue(np.isnan(to_data[2, 0]))
def test_min_02(self):
from_axis = DailyTimeAxisBuilder(start_date=date(2019, 1, 1),
n_interval=14).build()
to_axis = WeeklyTimeAxisBuilder(start_date=date(2019, 1, 1),
n_interval=2).build()
tc = AxisRemapper(from_axis=from_axis, to_axis=to_axis)
from_data = np.moveaxis(
np.asarray(list(range(1, 15)) * 12).reshape((3, 4, 14)), 2,
0).tolist()
to_data = tc.min(from_data)
self.assertTrue(
np.all(np.ones((3, 4), dtype="int") - to_data[0].round() == 0.0))
self.assertTrue(
np.all(
np.ones((3, 4), dtype="int") * 8 - to_data[1].round() == 0.0))
def test_min_04(self):
from_axis = DailyTimeAxisBuilder(start_date=date(2019, 1, 1),
n_interval=14).build()
to_axis = RollingWindowTimeAxisBuilder(start_date=date(2019, 1, 1),
end_date=date(2019, 1, 15),
window_size=7).build()
tc = AxisRemapper(from_axis=from_axis, to_axis=to_axis)
from_data = np.moveaxis(
np.asarray(list(range(1, 15)) * 12).reshape((3, 4, 14)), 2,
1).tolist()
to_data = tc.min(from_data, dimension=1)
for i in range(tc.to_nelem):
self.assertTrue(
np.all(
np.ones((3, 4), dtype="int") * (1 + i) -
to_data[:, i, :].round() == 0.0))