There is a Pandas dataframe with missing column names 0 0 0 61 spi_score 32.5 67.434320 92.63 73.45 basic_human_needs 29.91 76.142959 96.85 83.0 foundations_of_wellbeing 34.17 67.774379 93.8 79.4 opportunity 23.37 58.381657 89.3 57.94 Write a function that adds the names of columns A, B, C, D to this dataframe

def add_Columns(df):
  df.columns = ['A', 'B', 'C', 'D']
  return df

add_Columns(df)