Excel sort
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"。From its SKILL.md
npx -y skills add YuYY2004/excel-skills --skill excel-sortAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
6.4 KB, ~1.9k tokens by cl100k_base, as published. Nobody here has run it
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
| 要素 | 常见表述 | 默认值 |
|---|---|---|
| 排序列 | "按公开日排序""E列排序" | 必须明确 |
| 方向 | "从小到大""升序""asc" → asc;"从大到小""降序""desc" → desc | asc |
| 多列排序 | "先按A列再按B列" | 按优先级排列 |
| 数据范围 | 默认包含表头行(第1行),自动识别数据区 | 有表头 |
解析示例
| 用户说 | 提取 |
|---|---|
| "按公开日升序排列" | 列=公开日, asc |
| "按金额从大到小排序" | 列=金额, desc |
| "先按类别排,再按日期排" | 列=[类别,日期], 默认asc |
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()
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
- None 值始终排到最后(无论升序降序)
- 表头不参与排序,固定在原位
- 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
- 格式保留 vs 速度:
- < 1万行:默认保留全部格式(几秒)
- 1万~5万行:保留格式(~1分钟)
- > 5万行:询问用户——「格式保留需要约 N 分钟,是否保留原格式?」
- 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
- 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
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.