import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
# 读取数据
data= pd.read_csv('StudentPerformance.csv',encoding='gb18030')
#with open('data.csv', 'r', encoding='gbk') as f:
#data = f.read()
print(data.head())

plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
plt.style.use('bmh')
plt.rcParams['axes.prop_cycle'] = plt.cycler('color', ['r', 'g', 'b'])


fig, axs = plt.subplots(2, 2, figsize=(10, 10), hspace=0.5)


for i, score in enumerate(['A', 'B', 'C']):
axs[0, 0].scatter(df[df['score'] == score]['courseware_views'], df[df['score'] == score]['raise_hands'], color=plt.cm.bright(i))
axs[0, 0].legend(['A', 'B', 'C'])
axs[0, 0].set_title('成绩类别与浏览课件次数和举手次数的散点图')
axs[0, 0].set_xlabel('浏览课件次数')
axs[0, 0].set_ylabel('举手次数')