How to pivot dataframe in python

I have a dataset that looks like this

StID          SubClassID   PhOrder     PhAmt        LbOrder      LbAmt4326          200572288    Anti1       23.3         Asprin       13.74326          200572288    Anti2       39.3         Morphin      2.24326          200572288    NULL        NULL         Medine       30.54326          200572288    Anti3       13.5         Kabomin      20.34326          200572288    NULL        NULL         Zorifin      0.20993          200348299    Anti1       8.4          Zorifin      9.70993          200348299    Anti2       10.9         Zorifin      95.60993          200348299    Anti4       48.9         NULL         NULL

I want to flat this table using one hot encoding

so it looks like this

StID          SubClassID   Anti1 Anti2 Anti3 Anti4 Asprin  Morphin Medine Kabomin Zorifin4326          200572288    23.3  39.3  13.5  NULL  13.7    2.2     30.5   20.3    0.20993          200348299    8.4   10.9  NULL  48.9  NULL    NULL    NULL   NULL    52.65

Here is the code I did but I get many duplicated columns with wrong values

data = {'StId': [4326, 4326, 4326, 4326, 4326, 993, 993, 993],'SubClassID': [200572288, 200572288, 200572288, 200572288, 200572288, 200348299, 200348299, 200348299],'PhOrder': ['Anti1', 'Anti2', 'NULL', 'Anti3', 'NULL', 'Anti1', 'Anti2', 'Anti4'],'PhAmt': [23.3, 39.3, None, 13.5, None, 8.4, 10.9, 48.9],'LbOrder': ['Asprin', 'Morphin', 'Medine', 'Kabomin', 'Zorifin', 'Zorifin', 'Zorifin', None],'LbAmt': [13.7, 2.2, 30.5, 20.3, 0.2, 9.7, 95.6, None]}df = pd.DataFrame(data)df_pivot = df.pivot_table(index=['StId', 'SubClassID'], columns=['PhOrder','LbOrder'], values=['PhAmt','LbAmt'], aggfunc='first')