How to create multiple dataframes using multiple functions

Question

I quite often write a function to return different dataframes based on the parameters I enter. Here\'s an example dataframe:

np.random.seed(1111)
df = pd.Dat         


        

Answer 1

A dictionary would be my first choice:

variations = ([('Units Sold', list_one), ('Dollars_Sold',list_two), 
              ..., ('Title', some_list)])

df_variations = {}

for i, v in enumerate(variations):
     name = v[0]
     data = v[1]
     df_variations[i] = some_fun(df, name, data)

You might further consider setting the keys to unique / helpful titles for the variations, that goes beyond something like 'Units Sold', which isn't unique in your case.