有关pandas value_counts函数的说明 [英] Explanation about pandas value_counts function

问题描述

有人可以解释一下这行是什么

Can someone please explain what does the line

result = data.apply(pd.value_counts).fillna(0)  

在这里吗?

import pandas as pd 
from pandas import Series, DataFrame

data = DataFrame({'Qu1': [1, 3, 4, 3, 4],
                  'Qu2': [2, 3, 1, 2, 3],
                  'Qu3': [1, 5, 2, 4, 4]})

result = data.apply(pd.value_counts).fillna(0)  

In [26]:data
Out[26]:
Qu1 Qu2 Qu3
0 1 2 1
1 3 3 5
2 4 1 2
3 3 2 4
4 4 3 4

In [27]:result
Out[28]:
Qu1 Qu2 Qu3
1 1 1 1
2 0 2 1
3 2 2 0
4 2 0 2
5 0 0 1

推荐答案

从文档中生成非空值的直方图.仅查看result的Qu1列，我们可以知道原始列data.Qu1中有一个1、0 2，两个3，两个4和0 5.

From the docs, it produces a histogram of non-null values. Looking just at column Qu1 of result, we can tell that there is one 1, zero 2's, two 3's, two 4's, and zero 5's in the original column data.Qu1.

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