pandas 中的 sum() 和 count() 有什么区别?

What is the difference between sum() and count() in pandas?( pandas 中的 sum() 和 count() 有什么区别?)

问题描述

你能帮我理解下面提到的陈述之间的区别吗?鉴于 Survived 列包含二进制数据 (0,1)，它们给出了不同的答案:

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()

推荐答案

sum() for like 1+0 = 1. 如果数据是 3 和 3 则返回 6.

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

count() 返回行数.所以它会返回 2.

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

简单:)

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