I have a dataframe. This dataframe holds ts data
Every column is a dimension in my ts data. Every row holds an indidual time series. Ts that i have are not eual in length.
I want each element in my dataframe to be converted to a series instead. Meaing that i will still have the same number of rows and same number of columns. However instead the type of each element is an array it will be pandas series
Aslo note that i am trying to change it to that structure to use MiniRocketMultivariateVariable from sktime
I tried using the apply method but no luckdf = df.applymap(pd.Series)
I also tried to change it using pd.series by creating another column df['col_3'] = pd.Series(df['dim_1'])
However the elements of the new column is still a list type
The ouput that i would like is a dataframw with the same number of columns and same number of rows. However each element is a pandas series instead of a list an example of the structure is below