使用seaborn制图（小提琴图） - 无名小妖

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


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.violinplot(data = y,palette="Oranges")
plt.title(\'Percentage of Women leaders\')
plt.ylabel(\'Per %\')
# 数据可视化：小提琴图

sns.despine(bottom=True)
plt.show()