category-filtering-and-difficulty-analysis

Skill Steps

Step1 加载数据与环境配置

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import re

# 配置中文字体，确保图表正常显示
plt.rcParams['font.sans-serif'] = ['SimHei', 'DejaVu Sans', 'WenQuanYi Zen Hei']
plt.rcParams['axes.unicode_minus'] = False

def load_excel_data(file_path: str, skip_rows: int = 2):
    """读取并加载Excel文件中的数据，跳过标题行以获取原始数据"""
    # 技巧：处理合并单元格可使用 df.ffill() 等方法
    df = pd.read_excel(file_path, skiprows=skip_rows)
    return df