Pivot table visualization simple case

import pandas as pd
import numpy as np
import os
basepath='/Users/kangyongqing/Documents/kangyq/202307/标准版学期制C2/'

path=os.path.join(basepath,'02freetime.csv')
dt=pd.read_csv(path,dtype={'shifen':'object'})
print(dt.head())
import matplotlib.pyplot as plt

for i in range(1,8):
    dtt=dt[dt['dttype']==i]
    pvt=dtt.pivot_table(values='tutor_user_id',index='shifen',aggfunc='count')
    #数据透视表
    print(pvt)
    x=pvt.index
    y=pvt['tutor_user_id']
    #x，y赋值
    fig=plt.figure(figsize=(20,8))
    #设置画布大小
    p1=plt.bar(x,y,label='freetutorcnt',color='blue')
    #做条形图，添加图例，设置颜色
    plt.legend(loc=1)
    plt.xticks(fontsize=6)
    #设置X轴字体大小
    plt.bar_label(p1,labels=y,padding=0.2)
    #添加y值为数据标签
    plt.title(f'workday{i}')
    #添加标题
    plt.savefig(basepath+"可视化/星期"+f"{i}.png")
    #save要在show之前，因为show会自动调用clear（）清除缓存
    plt.show()

The result display:

attached data source