def test_imt_calculated_metadata(self):
with IncompleteMultidimensionalTrajectory(self.single) as ncd:
s = ncd.calculated_metadata()
assert s.min_t == dtparse('1990-01-01 00:00:00')
assert s.max_t == dtparse('1990-01-05 03:00:00')
traj1 = s.trajectories["Trajectory1"]
assert traj1.min_z == 0
assert traj1.max_z == 99
assert traj1.min_t == dtparse('1990-01-01 00:00:00')
assert traj1.max_t == dtparse('1990-01-05 03:00:00')
assert np.isclose(traj1.first_loc.x, -7.9336)
assert np.isclose(traj1.first_loc.y, 42.00339)
with IncompleteMultidimensionalTrajectory(self.multi) as ncd:
m = ncd.calculated_metadata()
assert m.min_t == dtparse('1990-01-01 00:00:00')
assert m.max_t == dtparse('1990-01-02 12:00:00')
assert len(m.trajectories) == 4
traj0 = m.trajectories["Trajectory0"]
assert traj0.min_z == 0
assert traj0.max_z == 35
assert traj0.min_t == dtparse('1990-01-01 00:00:00')
assert traj0.max_t == dtparse('1990-01-02 11:00:00')
assert np.isclose(traj0.first_loc.x, -35.07884)
assert np.isclose(traj0.first_loc.y, 2.15286)
traj3 = m.trajectories["Trajectory3"]
assert traj3.min_z == 0
assert traj3.max_z == 36
assert traj3.min_t == dtparse('1990-01-01 00:00:00')
assert traj3.max_t == dtparse('1990-01-02 12:00:00')
assert np.isclose(traj3.first_loc.x, -73.3026)
assert np.isclose(traj3.first_loc.y, 1.95761)
def test_imt_dataframe(self):
single_tmp = tempfile.mkstemp(suffix='.nc')[-1]
with IncompleteMultidimensionalTrajectory(self.single) as ncd:
single_df = ncd.to_dataframe(clean_rows=False)
single_nc = IncompleteMultidimensionalTrajectory.from_dataframe(
single_df, single_tmp)
single_nc.close()
os.remove(single_tmp)
multip_tmp = tempfile.mkstemp(suffix='.nc')[-1]
with IncompleteMultidimensionalTrajectory(self.multi) as ncd:
multip_df = ncd.to_dataframe(clean_rows=False)
multip_nc = IncompleteMultidimensionalTrajectory.from_dataframe(
multip_df, multip_tmp)
multip_nc.close()
os.remove(multip_tmp)
def test_json_attributes(self):
with IncompleteMultidimensionalTrajectory(self.single) as s:
s.json_attributes()
with IncompleteMultidimensionalTrajectory(self.multi) as m:
m.json_attributes()
def test_imt_load(self):
IncompleteMultidimensionalTrajectory(self.single).close()
IncompleteMultidimensionalTrajectory(self.multi).close()