python绘制帕累托图

要在Python中绘制帕累托图，可以按照以下步骤进行操作:

1. 首先，需要导入所需的模块:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

2. 设置中文字体以确保在Matplotlib中显示中文:

plt.rcParams["font.family"] = 'Arial Unicode MS'

3. 准备数据，将目标数据导入为Series对象:

df = pd.read_csv('/Users/chenxiaogang/Desktop/data.csv',encoding='gb2312')
data = pd.Series(df['stastic'].values, index=df['city_name'])

4. 对数据进行排序，以便根据累计占比绘制帕累托图:

data.sort_values(ascending=False, inplace=True)

5. 计算累计占比，并找到累计占比大于0.8的第一个索引名称:

p = data.cumsum() / data.sum()
key = p[p > 0.8].index<span class="em">1</span>
#### 引用[.reference_title]
-  *1* [学习笔记—使用python画帕累托分布图](https://blog.csdn.net/weixin_44896621/article/details/115030682)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 100%"]
[ .reference_list ]