How to reorder rows in pandas dataframe by factor level in python?

I've created a small dataset comparing coffee drink prices per cup size.

When I pivot my dataset the output automatically reorders the index (the 'Size' column) alphabetically.

Is there a way to assign the different sizes a numerical level (e.g. small = 0, medium = 1, large = 2) and reorder the rows this way instead?

I'm know this can be done in R using the forcats library (using fct_relevel for example), but I'm not aware of how to do this in python. I would prefer to keep the solution to using numpy and pandas.

data = {'Item': np.repeat(['Latte', 'Americano', 'Cappuccino'], 3),
        'Size': ['Small', 'Medium', 'Large']*3,
        'Price': [2.25, 2.60, 2.85, 1.95, 2.25, 2.45, 2.65, 2.95, 3.25]
       }

df = pd.DataFrame(data, columns = ['Item', 'Size', 'Price'])
df = pd.pivot_table(df, index = ['Size'], columns = 'Item')
df

#         Price
# Item    Americano Cappuccino  Latte
#   Size            
#  Large       2.45       3.25   2.85
# Medium       2.25       2.95   2.60
#  Small       1.95       2.65   2.25

source https://stackoverflow.com/questions/70174054/how-to-reorder-rows-in-pandas-dataframe-by-factor-level-in-python

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