excel-bar-chart-visualization

name: excel-bar-chart-visualization description: "读取多工作表Excel文件，自动处理合并单元格与数据清洗，进行交叉分组统计并生成带总计行的结果表，最后绘制支持中英文字体的美化柱状图，适用于多维度数据汇总与可视化分析。"

Skill Steps

This sub-skill covers one capability of the Excel workflow. For reading/counting/Parquet optimization, see the parent workflow SKILL.md.

Step1: 数据合并与清洗

combined_df = pd.concat(data_frames, ignore_index=True)

# 数据清洗：使用正则表达式统一命名
if '题型' in combined_df.columns:
    combined_df['题型'] = combined_df['题型'].astype(str).str.replace('判', '判断题', regex=False)

# 处理合并单元格技巧1：前向填充
if '流程描述' in combined_df.columns:
    combined_df['流程描述'] = combined_df['流程描述'].fillna(method='ffill')

# 处理合并单元格技巧2：通过逻辑判断与手动映射还原完整名称
group_col = '项目阶段'
target_col = '控制要点'
if group_col in combined_df.columns and target_col in combined_df.columns:
    project_stages, control_points = [], []
    current_stage = None
    for _, row in combined_df.iterrows():
        stage = row[group_col]
        point = row[target_col]
        if pd.notna(point) and point != target_col:
            if pd.notna(stage):
                current_stage = stage
            project_stages.append(current_stage)
            control_points.append(point)
    combined_df = pd.DataFrame({
        group_col: project_stages,
        target_col: control_points
    })