使用seaborn制图（箱型图）

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

# 设置风格，seaborn有5种基本风格，context表示环境

sns.set(style="white", context="notebook")

# 处理中文问题

sns.set_style('whitegrid', {'font.sans-serif':['simhei', 'Arial']})

data = pd.read_csv('D:\\myfiles\\study\\python\\analyse\\数据团\\城市数据团_数据分析师_体验课_课程资料\\数据资料\\地市级党委书记数据库（2000-10）.csv', encoding='gbk')

data_gender2 = data[['省级政区名称','性别']]

data_gender2_re = data_gender2[data_gender2['性别'].notnull()]

pt = pd.crosstab(data_gender2_re['省级政区名称'], data_gender2_re['性别'])

pt['女性占比'] =  pt['女'] / (pt['女'] + pt['男'])

pt2 = pt.sort_values(by = ['女性占比'], ascending = False)

x = ['Percentage of Women leaders_structure']

y = pt2['女性占比'].tolist()

# 设定x，y值

fig = plt.figure(figsize=(6,4))

sns.boxplot(data = y,palette="Greens")

plt.title('Percentage of Women leaders')

plt.ylabel('Per %')

# 数据可视化：箱型图

sns.despine(bottom=True)

plt.show()