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

import csv
import seaborn as sns
import 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 = 2
with 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]))

# boxplot
ax = 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')