What is the difference between sum() and count() in pandas?

Question

Can you help me understand the difference between the statements mentioned below? Given that Survived column contains binary data (0,1), they give different answers:

df_train[df_train.Sex == 'female'].Survived.count()
df_train[df_train.Sex == 'female'].Survived.sum()

Answer 1

sum() is for like 1+0 = 1. if data is 3 and 3 then it will return 6.

count() return number of rows, so it will return 2.

Answer 2

count() will just count number of rows.

sum() will sum the 1's and 0's.