I have a dataframe and I am pulling out a specific column with the index. I want to perform a split on that column and get the  value.
The column looks like;
Name t_alpaha_omega t_bravo_omega d_charlie_omega t_delta_omega
I need to split on _ and get alpha, bravo, charlie, delta. Then add those values as a new column in my dataframe.
I am getting the name column like;
I can do the splitting, I just don’t know how to insert the data as a new column.
I am playing with this and seeing if I can use a variation of it.
final_df.insert(1, "Test", final_df.loc[:,"Name"], True)
For this purpose we could use pd.Series.str.extract and define a named capturing group like
df['Value'] = df.Name.str.extract('(?P<Value>(?<=_)w+(?=_))') df Name Value 0 t_alpaha_omega alpaha 1 t_bravo_omega bravo 2 t_charlie_omega charlie 3 t_delta_omega delta
If you would like to change the position of the column. We could first extract it with pd.Series.pop and the we insert it at the column index we would like:
new_column = df.pop('Value') df.insert(0, 'Value', new_column) Value Name 0 alpaha t_alpaha_omega 1 bravo t_bravo_omega 2 charlie t_charlie_omega 3 delta t_delta_omega