Difference between map, applymap and apply methods

Question

Can you tell me when to use these vectorization methods with basic examples?

I see that map is a Series method whereas the rest are DataFrame methods. I got confused about apply and applymap methods though. Why do we have two methods for applying a function to a DataFrame? Again, simple examples which illustrate the usage would be great!

Answer 1

Just wanted to point out, as I struggled with this for a bit

def f(x):
    if x < 0:
        x = 0
    elif x > 100000:
        x = 100000
    return x

df.applymap(f)
df.describe()

this does not modify the dataframe itself, has to be reassigned

df = df.applymap(f)
df.describe()