Replace column values based on a filter

Question

Given this list

a = [a,d]

Give a dataset as such

id	type
a	cat
b	fish
c	dog
d	cat

If the id items of the dataset are found in the list a, then I need to change the related type item, if not leave the same type item

End result

id	type
a	bird
b	fish
c	dog
d	bird

This code is not working

df["type"] = np.where(df["id"].isin(a), df["type"].replace("bird"), df["type"])

Answer 1

Only set bird if match condition, replace is not necessary here if need set to same values:

df["type"] = np.where(df["id"].isin(a), "bird", df["type"])