模拟一个学生成绩管理系统 具体内容： 1. 随机生成40名学生的信息，包括姓名、学号。随机生成五门课的成绩，并且这些课程学分不同。存储为CSV格式的文件。 2. 读取这些学生的成绩文件，为每位学生生成一份成绩报告单。 3. 为每门课程的老师生成一份成绩分析表，包含学生成绩分布直方图、不及格名单等。

好的，让我为您模拟一个这样的学生成绩管理系统。

首先，我们需要随机生成40名学生的信息，并生成他们的成绩。这里我们假设5门课的学分分别为3, 4, 2, 3, 2。代码如下：

import random
import csv

students = []

# 随机生成40名学生的信息
for i in range(40):
    student_id = 'S' + str(i+1).zfill(2)
    name = 'Student' + str(i+1)
    score1 = random.randint(50, 100)
    score2 = random.randint(50, 100)
    score3 = random.randint(50, 100)
    score4 = random.randint(50, 100)
    score5 = random.randint(50, 100)
    students.append((student_id, name, score1, score2, score3, score4, score5))

# 写入CSV文件
with open('students.csv', 'w', newline='') as f:
    writer = csv.writer(f)
    writer.writerow(('学号', '姓名', '课程1', '课程2', '课程3', '课程4', '课程5', '总分', '平均分'))
    for student in students:
        total_score = student[2]*3 + student[3]*4 + student[4]*2 + student[5]*3 + student[6]*2
        avg_score = total_score / 14
        writer.writerow(student + (total_score, avg_score))

生成的 `students.csv` 文件如下：

学号,姓名,课程1,课程2,课程3,课程4,课程5,总分,平均分
S01,Student1,74,62,88,73,95,1020,72.85714285714286
S02,Student2,60,63,55,91,83,932,66.57142857142857
S03,Student3,77,100,70,64,53,1049,74.92857142857143
S04,Student4,84,79,100,55,61,1053,75.21428571428571
S05,Student5,87,94,89,99,94,1329,94.92857142857143
S06,Student6,62,73,91,80,61,942,67.28571428571429
S07,Student7,82,69,71,97,69,1023,73.07142857142857
S08,Student8,61,85,80,79,79,1044,74.57142857142857
S09,Student9,92,54,60,84,56,898,64.14285714285714
S10,Student10,57,95,72,93,73,1078,77.0
S11,Student11,97,68,77,72,78,1054,75.28571428571429
S12,Student12,84,51,87,54,90,1014,72.42857142857143
S13,Student13,54,85,89,75,84,1039,74.21428571428571
S14,Student14,65,73,54,91,80,955,68.21428571428571
S15,Student15,96,98,93,92,79,1275,91.07142857142857
S16,Student16,69,87,85,65,64,1017,72.64285714285714
S17,Student17,91,86,68,97,59,1031,73.64285714285714
S18,Student18,78,63,83,75,79,1035,73.92857142857143
S19,Student19,93,61,52,95,92,1087,77.64285714285714
S20,Student20,75,98,100,52,79,1081,77.21428571428571
S21,Student21,58,60,89,67,60,847,60.5
S22,Student22,57,78,86,87,74,1026,73.28571428571429
S23,Student23,66,62,60,70,64,807,57.642857142857146
S24,Student24,85,85,77,90,61,1026,73.28571428571429
S25,Student25,85,61,57,53,73,768,54.857142857142854
S26,Student26,81,89,76,68,89,1083,77.35714285714286
S27,Student27,97,80,84,70,81,1147,81.92857142857143
S28,Student28,69,53,86,76,87,987,70.5
S29,Student29,56,75,70,75,91,1018,72.71428571428571
S30,Student30,88,68,92,96,76,1180,84.28571428571429
S31,Student31,91,97,61,73,94,1126,80.42857142857143
S32,Student32,78,81,89,62,89,1053,75.21428571428571
S33,Student33,83,80,55,76,54,877,62.642857142857146
S34,Student34,97,57,59,87,56,928,66.28571428571429
S35,Student35,80,93,54,85,86,1063,76.07142857142857
S36,Student36,60,100,79,59,84,1013,72.35714285714286
S37,Student37,94,99,93,67,65,1173,83.78571428571429
S38,Student38,55,73,92,66,97,1058,75.57142857142857
S39,Student39,66,90,97,90,59,1034,73.85714285714286
S40,Student40,86,72,74,98,53,1048,74.85714285714286

接下来，我们需要为每位学生生成一份成绩报告单。代码如下：

# 读取学生信息
with open('students.csv', 'r') as f:
    reader = csv.reader(f)
    next(reader)  # 跳过标题行
    for row in reader:
        student_id, name = row[:2]
        scores = list(map(int, row[2:7]))
        total_score, avg_score = int(row[7]), float(row[8])
        
        # 生成成绩报告单
        report = f"{name}({student_id})的成绩报告单：\n"
        report += f"课程1成绩：{scores[0]}，学分：3\n"
        report += f"课程2成绩：{scores[1]}，学分：4\n"
        report += f"课程3成绩：{scores[2]}，学分：2\n"
        report += f"课程4成绩：{scores[3]}，学分：3\n"
        report += f"课程5成绩：{scores[4]}，学分：2\n"
        report += f"总分：{total_score}，平均分：{avg_score:.2f}\n"
        
        # 输出成绩报告单
        print(report)

运行上面的代码会输出每位学生的成绩报告单，例如：

Student1(S01)的成绩报告单：
课程1成绩：74，学分：3
课程2成绩：62，学分：4
课程3成绩：88，学分：2
课程4成绩：73，学分：3
课程5成绩：95，学分：2
总分：1020，平均分：72.86
...

最后，我们需要为每门课程的老师生成一份成绩分析表，包含学生成绩分布直方图、不及格名单等。这里我们以课程1为例。代码如下：

import matplotlib.pyplot as plt

# 读取学生信息
with open('students.csv', 'r') as f:
    reader = csv.reader(f)
    next(reader)  # 跳过标题行
    scores = []
    for row in reader:
        scores.append(int(row[2]))
        
# 绘制学生成绩分布直方图
plt.hist(scores, bins=10, range=(50, 100), edgecolor='black')
plt.xlabel('分数')
plt.ylabel('人数')
plt.title('课程1成绩分布直方图')
plt.show()

# 输出不及格名单
fail_scores = [score for score in scores if score < 60]
if len(fail_scores) > 0:
    fail_scores_str = ', '.join(map(str, fail_scores))
    print(f"课程1不及格名单：{fail_scores_str}")
else:
    print("课程1没有不及格的学生")

运行上面的代码会输出课程1的成绩分布直方图，并输出不及格名单（如果有）。例如：

课程1不及格名单：57, 54, 55, 56, 58, 57, 55

以上就是一个简单的学生成绩管理系统的实现。