How To Show Second Row Using Pandas in Python With Duplicate Row Names

I am writing a script to read from an Excel sheet, that I can't modify, that has several duplicate rows.

The issue I am having is that it appears to stop adding to the index after finding the first row.

I can't figure out how to get it skip the first row and index only the second.

 df = pd.read_excel(aisc_excel_file)    # Open the profiles.lis file for writing    with open(profiles_lis_file, 'w') as profiles_lis:        # Write the header to the profiles.lis file        profiles_lis.write("PROFILE\tWIDTH\tHEIGHT\n")        # Iterate through rows in the AISC DataFrame and write to profiles.lis        for index, row in df.iterrows():            profile_name = row['AISC_Manual_Label']            width = row['h, in']            height = row['b, in']            # Write the profile data to the profiles.lis file            profiles_lis.write(f"{profile_name}\t{width}\t{height}\n")

Here is the AISC Excel sheet:https://www.aisc.org/globalassets/product-files-not-searched/manuals/aisc-shapes-database-v16.0.xlsx

I have two "AISC_Manual_Label" row labels, I need the data from the second.

I have tried the df.Duplicated but it always returns a boolean and the index stays the same.

I also read something about series but was not able to get the second row.

Any help would be greatly appreciated.

Thank you.