Alternative to using np.where with list to yield a series instead of an ndarray to be more amenable to converting into a dataframe?

Question

Is there an alternative to use np.where with a list so that I can work with a series instead of an ndarray?

animal = ['Buffalo', 'Gazelle']

df.one = np.where(df.one.isin(animal),'Herding Animal', df.one) 

Answer 1

df = pd.DataFrame({'one':['Buffalo','Gazelle','Leopard']})

print(df)
       one
0  Buffalo
1  Gazelle
2  Leopard

animal = ['Buffalo', 'Gazelle']
df.one.mask(df.one.isin(animal),'Herding Animal')
print (df)
              one
0  Herding Animal
1  Herding Animal
2         Leopard

df.to_frame()