辅助处理excel表格,按指定要求排序
此技能遵循 [excel-seafe-work flow] 四步法.是一项面向实际任务的技能,主要用于执行前必须先进行侦察并确认排序列和范围, 并验证之后的正确顺序;[[excel-sefefect- workflow] ]。
从功能定位来看,该技能强调把分散的操作要求整理成清晰、可复用的处理流程,使用户能够围绕既定目标快速准备输入、选择执行方式并获得结构化结果。实际使用前应先确认任务范围、数据来源、运行环境、必要权限和关键参数,再依据技能说明逐步执行;
若输入条件不完整,应先补齐信息或采用保守配置,避免因错误假设导致结果偏离需求。执行过程中需要关注工具调用是否成功、接口或依赖是否可用、输出格式是否符合预期,并对异常提示、缺失字段和边界情况进行处理;涉及批量任务时,还应保存进度,避免中断后重复操作。
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。
| 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 |
| 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 |
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()
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')
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()
相关专题
热门下载
相关下载
精品课程
共162课时 | 45.3万人学习
共15课时 | 1.8万人学习
共28课时 | 3.6万人学习
最新文章