Using PANDAS to conditionally manipulate specific cells based on another cell

Question

'''if andrew_ramirez[andrew_ramirez['Datacenter'] == 'ACT1']:
andrew_ramirez[andrew_ramirez['payout']] * .25
   elif andrew_ramirez[andrew_ramirez['Datacenter'] == 'ATL2']:
andrew_ramirez[andrew_ramirez['payout']] * .25
   else:
andrew_ramirez[andrew_ramirez['payout']] * 1
ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().'''

I am trying to find the most efficient way to manipulate the 'payout' column based on the corresponding "Datacenter" cell within the row. Thank you in advance!