def test_make_timeseries_from_continuous_var(self):
table = Table.from_url(
"http://file.biolab.si/datasets/slovenian-national-assembly-eng.tab"
)
time_series = Timeseries.make_timeseries_from_continuous_var(
table, 'date of birth')
self.assertEqual(time_series.time_variable.name, 'date of birth')
self.assertTrue(time_series.time_variable in time_series.domain.metas)
def commit(self):
data = self.data
self.Information.clear()
if data is None or (self.selected_attr not in data.domain
and not self.radio_sequential):
self.Outputs.time_series.send(None)
return
if self.radio_sequential:
ts = Timeseries.make_timeseries_from_sequence(data)
else:
ts = Timeseries.make_timeseries_from_continuous_var(
data, self.selected_attr)
# Check if NaNs were present in data
time_var = data.domain[self.selected_attr]
values = Table.from_table(Domain([], [], [time_var]),
source=data).metas.ravel()
if np.isnan(values).any():
self.Information.nan_times(time_var.name)
self.Outputs.time_series.send(ts)
