Pandas 按列值计算百分比

Question

The dataframe is like below dataframe 如下所示

id ID	age年龄
a一个	30-40 30-40
b b	30-40 30-40
c c	30-40 30-40
d d	40-50 40-50
e e	40-50 40-50

The count of '30-40' is 3, the count of '40-50' is 2. The output I want is just value, I don't care about the format. '30-40'的计数是3，'40-50'的计数是2。我想要的output只是值，我不在乎格式。 Here is the output这是 output

age年龄	percentage百分比
30-40 30-40	60.00% 60.00%
40-50 40-50	40.00% 40.00%

Answer 1

Use Series.value_counts with normalize=True , then multiple by 100 and change format to DataFrame :使用Series.value_counts和normalize=True ，然后乘以100并将格式更改为DataFrame ：

df1 = (df['age'].value_counts(normalize=True)
                .mul(100)
                .rename_axis('age')
                .reset_index(name='percentage'))
print (df1)
     age  percentage
0  30-40        60.0
1  40-50        40.0

Pandas 按列值计算百分比

问题描述

1 个解决方案

解决方案1
1 已采纳 2021-01-26 05:57:16

Pandas 按列值计算百分比

问题描述

1 个解决方案

解决方案1 1 已采纳 2021-01-26 05:57:16

解决方案1
1 已采纳 2021-01-26 05:57:16