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 problem? Please describe
The statsmodels.tsa.seasonal.seasonal_decompose method throws errors for not specifying a frequency and having NaN values, which can be conveniently addressed within the method by inferring frequencies and dropna() respectively.
Describe the solution you'd like
Quality of life improvements: include the relevant pandas transformations within the seasonal_decompose method. Include detailed error messages when DateTimeIndex is broken, etc.
Describe alternatives you have considered
NIL
Additional context
I can work on this, but I would like to understand reasons behind the current implementation first.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe
The
statsmodels.tsa.seasonal.seasonal_decompose
method throws errors for not specifying a frequency and having NaN values, which can be conveniently addressed within the method by inferring frequencies anddropna()
respectively.Describe the solution you'd like
Quality of life improvements: include the relevant pandas transformations within the
seasonal_decompose
method. Include detailed error messages when DateTimeIndex is broken, etc.Describe alternatives you have considered
NIL
Additional context
I can work on this, but I would like to understand reasons behind the current implementation first.
The text was updated successfully, but these errors were encountered: