name: excel-replace description: | Safely replace content in Excel — entire columns, rows, or condition-matched cells. Supports replacing with fixed values, Excel formulas, or Python transform functions. 安全替換 Excel 中的內容——整列、整行、或指定條件的單元格。支援替換為固定值、Excel 公式、或 Python 轉換函式。 Trigger keywords: "replace column" "overwrite column" "entire column to" "replace row" "batch replace" "conditional replace" "cell replace" "clean" "change all to" 觸發詞包括"替換列""覆蓋列""整列改成""替換行""批次替換""條件替換""單元格替換""清洗""全部改為"。
This skill follows [[excel-safe-workflow]] four-step method. Must complete Requirement Parsing→Scout→Plan before execution, and Verify after. Must confirm before overwriting. 本技能遵循 [[excel-safe-workflow]] 四步法。執行前必須完成 需求解析→勘察→規劃,執行後必須驗證。替換覆蓋前必須確認。
| 使用者說 | 判定 |
|---|---|
| "這列全改成""E列替換為""整列" | → 整列模式 |
| "這行全改成""第5行替換為""整行" | → 整行模式 |
| "把所有空值改成""xxxx的替換為""條件替換" | → 條件單元格模式 |
| "B5改成""這個單元格" | → 單單元格模式 |
| 要素 | 說明 | 預設值 |
|---|---|---|
| 範圍 | 整列/整行/條件/單格 | 從使用者話中判定 |
| 目標 | 列號/列名/行號/單元格座標 | 必須明確 |
| 新內容 | 固定值 / =開頭的公式 / 自定義轉換 |
必須明確 |
| 條件 | (僅條件模式)"等於xx的""包含xx的""為空的" | 必須明確 |
| 使用者說 | 提取 |
|---|---|
| "把E列全部替換成'已確認'" | 整列, E, 值='已確認' |
| "第3行整行清空" | 整行, 3, 值=None |
| "狀態列裡所有'待審'改成'已審'" | 條件, 狀態列, 匹配='待審'→'已審' |
| "把空單元格全填上0" | 條件(全域性), 匹配=None→0 |
| "B5改成'總計'" | 單格, B5, 值='總計' |
| "金額列換成公式 =C2*D2" | 整列, 金額列, 公式='=C2*D2' |
import os, sys
sys.stdout.reconfigure(encoding='utf-8')
from openpyxl import load_workbook
from datetime import datetime
FILE = '目標檔案.xlsx'
size_mb = os.path.getsize(FILE) / 1024 / 1024
print(f'檔案大小: {size_mb:.1f} MB')
wb = load_workbook(FILE)
ws = wb.active
print(f'工作表: {ws.title}, 行: {ws.max_row}, 列: {ws.max_column}')
# 定位目標
target_col = None # 整列模式
target_row = None # 整行模式
target_cell = None # 單格模式
# 整列模式:定位列號
if SCOPE == 'column':
if isinstance(target_spec, str):
for col_idx in range(1, ws.max_column + 1):
if ws.cell(row=1, column=col_idx).value == target_spec:
target_col = col_idx
break
else:
target_col = int(target_spec)
print(f'\n目標列: 列{target_col} "{ws.cell(row=1, column=target_col).value}"')
# 抽樣展示
for row in range(2, min(10, ws.max_row + 1)):
v = ws.cell(row=row, column=target_col).value
print(f' 行{row}: {repr(v)[:50]}')
# 條件模式:統計匹配數
if SCOPE == 'condition':
match_count = 0
for row in range(2, ws.max_row + 1):
for col in range(1, ws.max_column + 1):
v = ws.cell(row=row, column=col).value
if CONDITION(v): # 使用者定義的條件
match_count += 1
print(f'\n條件匹配: {match_count} 個單元格(共 {ws.max_row * ws.max_column} 個)')
# 雙重掃描
print('\n=== 雙重掃描 ===')
wb2 = load_workbook(FILE, data_only=True)
ws2 = wb2.active
# ... 對比 target 區域
wb2.close()
| 模式 | 遍歷方式 | 效能 |
|---|---|---|
| 整列 (openpyxl) | for row in range(2, max_row+1) |
~0.5ms/格 |
| 整列 (XML, value/formula) | sheet XML 層 + 列號限定 + inline | 快 3-5x |
| 整行 | for col in range(1, max_col+1) |
很快 |
| 條件 | 巢狀迴圈 + 條件判斷 | 取決於掃描範圍 |
| 單格 | 直接賦值 | 瞬時 |
XML 方案限制:僅
整列 + value/formula模式下可用。transform/condition模式因需要執行 Python 邏輯判斷,不走 XML。
⚠️ XML 方案必須在 sheet 層 + 列號限定,不碰 sharedStrings。僅整列+值/公式模式下可用。
import time, os, shutil
from openpyxl import load_workbook
from openpyxl.utils import get_column_letter
# ===== 使用者配置 =====
SCOPE = 'column' # 'column' / 'row' / 'condition' / 'cell'
TARGET_COL = None # 整列模式:列號(1-based)
TARGET_ROW = None # 整行模式
TARGET_CELL = None # 單格模式: (row, col)
REPLACE_MODE = 'value' # 'value' / 'formula' / 'condition' / 'transform'
NEW_VALUE = None # value/formula 模式下的新值
# ====================
SIZE_MB = os.path.getsize(FILE) / 1024 / 1024
USE_XML = (SCOPE == 'column' and REPLACE_MODE in ('value', 'formula') and SIZE_MB > 10)
if USE_XML:
# ====== XML 快速路徑(整列 + value/formula,大檔案)======
print(f'\n替換中(XML sheet 層方案, {SIZE_MB:.0f}MB)...')
import zipfile
from lxml import etree
t0 = time.time()
col_letter = get_column_letter(TARGET_COL)
TMP = FILE.replace('.xlsx', '_rep_tmp')
if os.path.exists(TMP): shutil.rmtree(TMP)
os.makedirs(TMP)
with zipfile.ZipFile(FILE, 'r') as z:
z.extractall(TMP)
S_NS = 'http://schemas.openxmlformats.org/spreadsheetml/2006/main'
parser = etree.XMLParser(remove_blank_text=False, huge_tree=True)
ns = {'s': S_NS}
ws_dir = os.path.join(TMP, 'xl', 'worksheets')
count = 0
for sf in sorted(os.listdir(ws_dir)):
if not sf.endswith('.xml'): continue
sp = os.path.join(ws_dir, sf)
tree = etree.parse(sp, parser)
root = tree.getroot()
for row_elem in root.findall('.//s:row', ns):
if row_elem.get('r') == '1': continue # 跳過表頭
for cell in row_elem.findall('s:c', ns):
# 限定列號
if not cell.get('r', '').startswith(col_letter):
continue
# 改為 inline 字串
cell.set('t', 'inlineStr')
for child in list(cell):
tag = child.tag.split('}')[-1]
if tag in ('v', 'f', 'is'): cell.remove(child)
is_new = etree.SubElement(cell, '{'+S_NS+'}is')
t_new = etree.SubElement(is_new, '{'+S_NS+'}t')
t_new.text = str(NEW_VALUE) if NEW_VALUE is not None else ''
count += 1
sheet_xml = etree.tostring(root, xml_declaration=True, encoding='UTF-8', standalone=True)
with open(sp, 'wb') as f: f.write(sheet_xml)
print(f' 替換 {count} 個單元格')
# 打包
with zipfile.ZipFile(FILE, 'w', zipfile.ZIP_DEFLATED) as zout:
for dirpath, _, filenames in os.walk(TMP):
for fn in filenames:
full = os.path.join(dirpath, fn)
zout.write(full, os.path.relpath(full, TMP).replace('\\\\', '/'))
shutil.rmtree(TMP)
print(f' 耗時: {time.time()-t0:.0f}s')
else:
# ====== openpyxl 方案(預設)======
t0 = time.time()
wb = load_workbook(FILE)
ws = wb.active
count = 0
if SCOPE == 'column':
# 整列替換
print(f'替換列{TARGET_COL}...')
for row in range(2, ws.max_row + 1):
if REPLACE_MODE == 'value':
ws.cell(row=row, column=TARGET_COL).value = NEW_VALUE
elif REPLACE_MODE == 'formula':
ws.cell(row=row, column=TARGET_COL).value = NEW_VALUE # 以 = 開頭
elif REPLACE_MODE == 'transform':
old = ws.cell(row=row, column=TARGET_COL).value
ws.cell(row=row, column=TARGET_COL).value = transform(old)
count += 1
if row % 50000 == 0:
print(f' 進度: {row}/{ws.max_row}')
elif SCOPE == 'row':
# 整行替換
print(f'替換行{TARGET_ROW}...')
for col in range(1, ws.max_column + 1):
if REPLACE_MODE == 'value':
ws.cell(row=TARGET_ROW, column=col).value = NEW_VALUE
elif REPLACE_MODE == 'transform':
old = ws.cell(row=TARGET_ROW, column=col).value
ws.cell(row=TARGET_ROW, column=col).value = transform(old)
count += 1
elif SCOPE == 'condition':
# 條件替換
print(f'條件替換: {CONDITION_DESC}...')
for row in range(1, ws.max_row + 1):
for col in range(1, ws.max_column + 1):
val = ws.cell(row=row, column=col).value
if condition_match(val):
if REPLACE_MODE == 'value':
ws.cell(row=row, column=col).value = NEW_VALUE
elif REPLACE_MODE == 'transform':
ws.cell(row=row, column=col).value = transform(val)
count += 1
if row % 50000 == 0:
print(f' 進度: {row}/{ws.max_row}')
elif SCOPE == 'cell':
# 單格替換
row, col = TARGET_CELL
ws.cell(row=row, column=col).value = NEW_VALUE
count = 1
print(f'替換 {chr(64+col)}{row} → {NEW_VALUE}')
print(f'替換 {count} 個單元格')
print(f'\n儲存中...')
wb.save(FILE)
wb.close()
print(f'完成,耗時 {time.time()-t0:.1f}s')
wb = load_workbook(FILE, read_only=True, data_only=True)
ws = wb.active
if SCOPE == 'column':
# 抽查整列
print(f'=== 列{TARGET_COL}替換後抽樣 ===')
for row in [2, 3, 4, ws.max_row // 2, ws.max_row - 2, ws.max_row]:
v = ws.cell(row=row, column=TARGET_COL).value
print(f' 行{row}: {repr(v)[:40] if v else "(空)"}')
# 全部校驗
if REPLACE_MODE == 'value':
ok = all(
ws.cell(row=row, column=TARGET_COL).value == NEW_VALUE
for row in range(2, ws.max_row + 1)
)
print(f'{"✅ 全部一致" if ok else "❌ 存在不一致"}')
elif SCOPE == 'condition':
# 驗證不再有匹配舊條件的單元格
remaining = 0
for row in range(1, ws.max_row + 1):
for col in range(1, ws.max_column + 1):
if old_condition(ws.cell(row=row, column=col).value):
remaining += 1
print(f'剩餘匹配舊條件的單元格: {remaining} {"✅" if remaining == 0 else "⚠️"}')
wb.close()
cell.get('r').startswith(col_letter) 限定,不會誤傷其他列<is><t> 內聯字串,不產生新的 sharedString 引用SCOPE = 'column'; TARGET_COL = 5
REPLACE_MODE = 'value'; NEW_VALUE = '已確認'
SCOPE = 'column'; TARGET_COL = 7
REPLACE_MODE = 'formula'; NEW_VALUE = '=C2*D2'
SCOPE = 'condition'
def condition_match(val):
return val is None or (isinstance(val, str) and val.strip() == '')
REPLACE_MODE = 'value'; NEW_VALUE = 0
7w4.net收錄了海量優質技能外掛。
SCOPE = 'condition'
def condition_match(val):
return val == '待審'
REPLACE_MODE = 'value'; NEW_VALUE = '已審'
SCOPE = 'row'; TARGET_ROW = 5
REPLACE_MODE = 'value'; NEW_VALUE = None
SCOPE = 'cell'; TARGET_CELL = (5, 2) # B5
REPLACE_MODE = 'value'; NEW_VALUE = '總計'
這個 Skill 內容豐富、覆蓋面廣,提供了完整的中英文文件和多場景解決方案,安全性考慮也比較周到(操作前確認、備份恢復等)。但實際程式碼是半成品模板,需要使用者自行修改配置才能使用,對新手不夠友好。如果你是需要立即使用的使用者,可能會失望;如果你有一定基礎,把它當作參考指南還是不錯的。