python3使用matplotlib和seaborn生成带有扰动点的箱型图

import csvimport seaborn as snsimport matplotlib.pyplot as plt# 解决中文不显示和负号不显示问题rc = {    'font.family': 'Microsoft YaHei', 'axes.unicode_minus': False } fig = plt.figure(figsize=(20, 5)) sns.set(style="darkgrid", rc=rc)# ------------------------------------------------------------------------------------------------------# 实例程序 加载示例数据集# df = sns.load_dataset('iris',data_home="E:\code\learn-python3\seaborn-data-master")# df.head()# ax = sns.boxplot(x='species', y='sepal_length', data=df)# ax = sns.stripplot(x='species', y='sepal_length', data=df, color="orange", jitter=0.2, size=4)# plt.title("Boxplot with jitter", loc="center")# plt.show()# ------------------------------------------------------------------------------------------------------# 读取csv文件获取原始数据并处理数据xData = [] yData = [] num = 2with open('./files/test.csv', encoding='utf-8-sig') as f:    reader = csv.reader(f, skipinitialspace=True)    headers = next(reader)    for row in reader:        for i in range(0, num, 1):            if (len(row) == 12):                xData.append(headers[6+i*2])                yData.append(float(row[6+i*2]))# boxplotax = sns.boxplot(x=xData, y=yData)# 添加扰动点ax = sns.stripplot(x=xData, y=yData, color="orange", jitter=0.2, size=4) plt.xlabel('code') plt.ylabel('value') plt.title("Boxplot with jitter", loc="center")# plt.show()plt.savefig('./files/1.jpg')

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