Python pandas：使用 groupby 计算组的百分比

Question

I have a data frame which contains the information of customer type. I used groupby to count the type of customer within each category using following command:

df.groupby('Classification')['customer'].count()

It produces following result:

Classification
Agriculture     2366
Commercial     21904
Council          414
Industrial       911
Residential    51018
Name: ICP, dtype: int64

Now I want to calculate the percentage of each type of classification. I used follwoing command to calculate:

df.groupby(level=0).apply(lambda x: 100 * x/float(x.sum()))

But it produces following output:

Classification
Agriculture    100.0
Commercial     100.0
Council        100.0
Industrial     100.0
Residential    100.0
Name: ICP, dtype: float64

I want to show the percentage of each type of classification. Not sure where am I making the mistake. Any help would be really appreciated.

Answer 1

以下应该工作：

df.groupby('Classification')['customer'].count()/df['customer'].count()