Static Covariates after from fill_missing_values

[nydaniel]

When using the function fill_missing_values the returned TimeSeries does not have the static covariates of the original TimeSeries

values = np.array([0, 1, 2, np.nan])
static_series = pd.Series([10, 20, 30], index=['a', 'b', 'c'])
ts = darts.TimeSeries.from_values(values, static_covariates=static_series)
print(ts.has_static_covariates)
new_ts = fill_missing_values(ts, fill=0.0)
print(new_ts.has_static_covariates)

This code outputs True for the first print statement and False for the second print statement.

[hrzn]

Good catch, that's a bug, will fix, thanks!

[nydaniel]

Happy to help and thanks a lot for the development effort

[hrzn]

This one was fixed in #1076 and released.