Seaborn.countplot:按计数排序类别? [英] Seaborn.countplot : order categories by count?

问题描述

我知道 seaborn.countplot 具有属性order，该属性可以设置以确定类别的顺序.但是我想做的是按降序排列类别.我知道我可以通过手动计算计数(在原始数据帧上使用groupby操作等)来完成此操作，但是我想知道seaborn.countplot是否存在此功能.令人惊讶的是，我在任何地方都找不到这个问题的答案.

I know that seaborn.countplot has the attribute order which can be set to determine the order of the categories. But what I would like to do is have the categories be in order of descending count. I know that I can accomplish this by computing the count manually (using a groupby operation on the original dataframe, etc.) but I am wondering if this functionality exists with seaborn.countplot. Surprisingly, I cannot find an answer to this question anywhere.

推荐答案

据我所知，此功能未内置在seaborn.countplot中-order参数仅接受类别字符串的列表，并保留用户的订购逻辑.

This functionality is not built into seaborn.countplot as far as I know - the order parameter only accepts a list of strings for the categories, and leaves the ordering logic to the user.

使用 value_counts()并不难，但前提是您有一个DataFrame.例如

This is not hard to do with value_counts() provided you have a DataFrame though. For example,

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

sns.set(style='darkgrid')

titanic = sns.load_dataset('titanic')
sns.countplot(x = 'class',
              data = titanic,
              order = titanic['class'].value_counts().index)
plt.show()

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