how to divide text after symbol into rows in pandas

im trying to divide text from each symbol from one long text.

and i need to tranform this long text into this table

im expecting to divide each symbol to each row and then divide text from each row into 3 different column (team,pb_phase, and map)

Use Series.str.split with DataFrame.explode, agins split and set new columns names by DataFrame.set_axis:

out = (df['Column 1'].str.split(';\s*')
                    .explode()
                    .str.split(expand=True)
                    .set_axis(['Team','pb_phase','Map'], axis=1)
                    .reset_index(drop=True))

Or add expand=True for first split and use DataFrame.stack:

out = (df['Column 1'].str.split(';\s*', expand=True)
                     .stack()
                    .str.split(expand=True)
                    .set_axis(['Team','pb_phase','Map'], axis=1)
                    .reset_index(drop=True))

Or use list comprehension for lists and pass to Dataframe constructor:

out = pd.DataFrame([y.split() for x in df['Column 1'] for y in x.split('; ')],
                   columns=['Team','pb_phase','Map'])

print (out)
   Team pb_phase       Map
0    C9      ban     Pearl
1   LEV      ban  Fracture
2    C9     pick     Lotus
3   LEV     pick     Haven
4    C9      ban     Split
5   LEV      ban    Ascent
6  Bind  remains      None