编写Python程序，从score.json读取成绩数据，计算本人成绩的平均学分绩点（保留两位小数）、学分加权平均成绩（保留两位小数）、必修课程曾不及格学分，并保存到Excel文件中，名称为score.xlsx

在Python中，我们可以使用`json`模块读取JSON文件，`pandas`处理数据，`openpyxl`或`xlsxwriter`库来写入Excel。以下是一个示例程序：

import json
import pandas as pd

# 1. 读取 JSON 文件
def read_score_json(file_name):
    with open(file_name, 'r') as f:
        data = json.load(f)
    return data

# 2. 计算学生成绩
def calculate_average(data):
    grades = [item['grade'] for item in data]
    credits = [item['credit'] for item in data]

    # 平均学分绩点 (GPA)
    gpa = sum(grade * credit for grade, credit in zip(grades, credits)) / sum(credits)

    # 学分加权平均成绩
    weighted_avg = sum(grade * credit for grade, credit in zip(grades, credits))

    # 找出必修课中曾不及格的学分
    required_courses = [item for item in data if item.get('required', False)]
    failed_credits = len([grade for grade in [g['grade'] for g in required_courses] if grade < 60])

    return round(gpa, 2), round(weighted_avg, 2), failed_credits

# 3. 写入 Excel
def write_to_excel(df, output_file):
    df.to_excel(output_file, index=False)

# 使用函数
data = read_score_json('score.json')
average_gpa, weighted_avg, failed_credits = calculate_average(data)

# 将结果整理成 DataFrame
df = pd.DataFrame(data=[{'Average GPA': average_gpa, 'Weighted Average Score': weighted_avg, 'Failed Credits in Required Courses': failed_credits}])
output_file = 'score.xlsx'
write_to_excel(df, output_file)