数据分析，统计缺失变量，箱式图判断异常点

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv(r"C:\Users\22392\PycharmProjects\数据分析\数据\catering_sale.csv", encoding=‘utf-8‘, engine=‘python‘)

plt.rcParams[‘font.sans-serif‘] = [‘KaiTi‘]
plt.rcParams[‘axes.unicode_minus‘] = False
fig,axes = plt.subplots()
df.boxplot(column=‘销量‘,ax=axes)
axes.set_ylable(‘values of tip_pct‘)
fig.savefig(r‘c:\p3.png‘)