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()
解决方案
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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