name: excel-sort description: | Sort Excel data by specified column(s). Supports single or multi-column sort, ascending/descending, numeric/date/text sorting. 对 Excel 数据按指定列排序，支持单列或多列排序、升序/降序、数值/日期/文本排序。 Trigger keywords: "sort" "ascending" "descending" "sort by column" "from small to large" "newest first" 触发词包括"排序""升序""降序""按xx列排列""从小到大""从新到旧"。

This skill follows [[excel-safe-workflow]] four-step method. Must scout and confirm sort column and range before execution, and verify correct order after. 本技能遵循 [[excel-safe-workflow]] 四步法。执行前必须勘察确认排序列和范围，执行后验证顺序正确。

Excel Sort / Excel 排序

第零步：需求解析

解析示例

第一步：勘察

from openpyxl import load_workbook

FILE = '目标文件.xlsx'
wb = load_workbook(FILE)
ws = wb.active
print(f'{ws.max_row}行 x {ws.max_column}列')

# 定位排序列
print('\n=== 表头 ===')
for col_idx in range(1, ws.max_column + 1):
    h = ws.cell(row=1, column=col_idx).value
    if h:
        print(f'  列{col_idx}: {h}')

# 确认数据类型
sort_col = None  # 排序列号
print(f'\n排序列数据样本:')
for row in [2, 3, 4, ws.max_row // 2, ws.max_row]:
    v = ws.cell(row=row, column=sort_col).value
    print(f'  行{row}: {type(v).__name__} = {repr(v)[:40]}')

wb.close()
这个技能的最新版本可以在7w4.net小葱技能站找到。

第二步：执行

策略：大文件统一走「读格式→pandas处理→刷回格式」三步。

import pandas as pd
from openpyxl import load_workbook
from openpyxl.styles import Font, Alignment, PatternFill
from copy import copy

FILE = '目标文件.xlsx'
SORT_COLS = [('列名或列号', 'asc')]  # asc/desc
HEADER_ROW = 1

# ====== 第一步：读取格式 ======
print('① 读取格式...')
wb = load_workbook(FILE)
ws = wb.active

header_formats, data_formats, col_widths = {}, {}, {}
for col in range(1, ws.max_column + 1):
    header_formats[col] = {
        'font': copy(ws.cell(row=HEADER_ROW, column=col).font),
        'alignment': copy(ws.cell(row=HEADER_ROW, column=col).alignment),
        'fill': copy(ws.cell(row=HEADER_ROW, column=col).fill),
    }
    data_formats[col] = {
        'font': copy(ws.cell(row=HEADER_ROW + 1, column=col).font),
        'alignment': copy(ws.cell(row=HEADER_ROW + 1, column=col).alignment),
        'fill': copy(ws.cell(row=HEADER_ROW + 1, column=col).fill),
    }
    col_letter = chr(64 + col) if col <= 26 else ''
    if col_letter and col_letter in ws.column_dimensions:
        col_widths[col] = ws.column_dimensions[col_letter].width

freeze = ws.freeze_panes
col_names = [ws.cell(row=HEADER_ROW, column=c).value for c in range(1, ws.max_column + 1)]
wb.close()

# ====== 第二步：pandas 排序 ======
print('② 排序...')
df = pd.read_excel(FILE)

# 列名归一化
sort_by = []
ascending = []
for spec, direction in SORT_COLS:
    name = col_names[spec - 1] if isinstance(spec, int) else spec
    sort_by.append(name)
    ascending.append(direction == 'asc')

df = df.sort_values(by=sort_by, ascending=ascending)
print(f'已排序: {list(zip(sort_by, ["asc" if a else "desc" for a in ascending]))}')

# ====== 第三步：写回 + 轻量格式 ======
print('③ 写回并恢复关键格式...')
df.to_excel(FILE, index=False)

wb = load_workbook(FILE)
ws = wb.active

# 核心格式（始终恢复，秒级）
for col in range(1, ws.max_column + 1):
    cl = chr(64 + col) if col <= 26 else ''
    if col in header_formats:
        hf = header_formats[col]
        c = ws.cell(row=HEADER_ROW, column=col)
        c.font, c.alignment, c.fill = hf['font'], hf['alignment'], hf['fill']
    if cl and col in col_widths and col_widths[col]:
        ws.column_dimensions[cl].width = col_widths[col]

# 数据格式：仅小文件(<1万行)逐格恢复
if ws.max_row <= 10000 and data_formats:
    for row in range(HEADER_ROW + 1, ws.max_row + 1):
        for col in range(1, ws.max_column + 1):
            if col in data_formats:
                df2 = data_formats[col]
                c = ws.cell(row=row, column=col)
                c.font, c.alignment, c.fill = df2['font'], df2['alignment'], df2['fill']

if freeze: ws.freeze_panes = freeze
wb.save(FILE)
print('完成')

第三步：验证

wb = load_workbook(FILE, read_only=True, data_only=True)
ws = wb.active

for col_idx, direction in sort_specs:
    print(f'\n验证列{col_idx} ({direction}):')
    prev = None
    ok = True
    for row in range(HEADER_ROW + 1, min(HEADER_ROW + 20, ws.max_row + 1)):
        v = ws.cell(row=row, column=col_idx).value
        if prev is not None and v is not None:
            if direction == 'asc' and v < prev:
                print(f'  ❌ 行{row}: {v} < {prev}')
                ok = False
            elif direction == 'desc' and v > prev:
                print(f'  ❌ 行{row}: {v} > {prev}')
                ok = False
        if v is not None:
            prev = v
        print(f'  行{row}: {v}')
    print(f'  {"✅" if ok else "❌"}')

wb.close()

注意事项

1. None 值始终排到最后（无论升序降序）
2. 表头不参与排序，固定在原位
3. 公式列排序会导致引用错乱——勘察时检查排序列是否为公式，如是则先转为值再排
4. 格式保留 vs 速度：
5. < 1万行：默认保留全部格式（几秒）
6. 1万~5万行：保留格式（~1分钟）
7. > 5万行：询问用户——「格式保留需要约 N 分钟，是否保留原格式？」
8. 列内格式差异：格式以数据首行为模板统一应用。如列内格式不一致，统一后会丢失差异
9. 操作前必备份：遵循 [[excel-safe-workflow]] 第零步——操作前自动备份（时间戳命名），成功后保留最新3份，失误后立即删除损坏文件并从备份恢复

这是一个质量较高的 Excel 排序技能。它能处理单列或多列排序，保留原有的格式和样式，并且有备份机制防止误操作出错。文档写得很详细，步骤清晰，但缺少示例文件和常见问题解答，新手初次使用可能需要花点时间理解。总体来说功能实用、考虑周全，是一个可靠的处理 Excel 排序的工具。