You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Is your feature request related to a current problem? Please describe.
I haven't found in the TimeSeries documentation anything similar to a pd.DataFrame .drop() method and I think it would be compfy to have such.
Surely It ait't something critical, but in order to remove some componentes from multivariate TimeSeries, would be more comfy to my opinion.
Describe proposed solution
At the moment I worked around it using set() differences between the set of components of the TimeSeries and the compinent I want to remove: ts[list(set(ts.columns) - set(['stop_time']))]
Describe potential alternatives
I hope not to be wasting your time if such operation is already implemented through slicing operations [ ]
The text was updated successfully, but these errors were encountered:
Awesome! Then I'd redirect you to our contributing guidelines as a place to start. Then, for this issue, I think a good place to start would be to check how other TimeSeries methods are implemented, for instance some of the methods below this line. Once you feel ready about the approach, just go ahead and open a PR. Let me know if you need help :)
Is your feature request related to a current problem? Please describe.
I haven't found in the TimeSeries documentation anything similar to a pd.DataFrame .drop() method and I think it would be compfy to have such.
Surely It ait't something critical, but in order to remove some componentes from multivariate TimeSeries, would be more comfy to my opinion.
Describe proposed solution
At the moment I worked around it using
set()
differences between the set of components of the TimeSeries and the compinent I want to remove:ts[list(set(ts.columns) - set(['stop_time']))]
Describe potential alternatives
I hope not to be wasting your time if such operation is already implemented through slicing operations
[ ]
The text was updated successfully, but these errors were encountered: