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 ans

Answer 1

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

count() return number of row. so it will return 2.

simple :)

Answer 2

count() It's a string function, which count the total number of individual category. And that's the reason we put this in quotes while using it in aggregate function.

Ex

grouped = order_products_all.groupby("product_id")["reordered"].aggregate(
    {'reorder_sum': sum,'reorder_total': 'count'}
).reset_index()

sum() It's a integer function, which sum the number of unique category.

Answer 3

count() will just count number of rows.

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