# ๊ฐ์ฅ ๋จ์ํ ๋ฐฉ๋ฒ (์ฃผ์๋ก ๋ฐ๋ก ์ ๊ทผ)
from openpyxl import load_workbook
path = "output.xlsx"
wb = load_workbook(path)
ws = wb["log_20250818_(1)"] # ์ํธ ์ด๋ฆ
ws["G2"].value = 3.1415 # G2 ์
๊ฐ ๋ณ๊ฒฝ
ws.cell(row=5, column=2, value="OK") # B5 ์
๊ฐ ๋ณ๊ฒฝ
wb.save(path)
# ํค๋ ์ด๋ฆ ๊ธฐ์ค์ผ๋ก ์ด์ ์ฐพ์์ ํน์ ํ/์ด ์์
from openpyxl import load_workbook
path = "output.xlsx"
sheet_name = "log_20250818_(1)"
target_header = "value" # ์์ ํ ์ปฌ๋ผ ํค๋
target_row = 10 # ์์ ํ ํ ์ธ๋ฑ์ค (ํค๋=1ํ ๊ธฐ์ค)
wb = load_workbook(path)
ws = wb[sheet_name]
# 1ํ ํค๋์์ ์ด ์์น ์ฐพ๊ธฐ
col_idx = None
for cell in ws[1]:
if cell.value == target_header:
col_idx = cell.column # 1-based index
break
if col_idx is None:
raise ValueError(f"ํค๋ '{target_header}' ๋ฅผ ์ฐพ์ ์ ์์ต๋๋ค.")
ws.cell(row=target_row, column=col_idx, value=123.456)
wb.save(path)
# ๋ง์ง๋ง ํ(๋ค์ ๋น ํ) ์ฐพ์์ ์ฐ๊ธฐ
row = ws.max_row + 1
ws.cell(row=row, column=1, value="์ ์นด์ดํธ")
ws.cell(row=row, column=2, value="2025-08-18 17:40:00")
wb.save(path)
# ์ํธ๊ฐ ์์ผ๋ฉด ๋ง๋ค๊ธฐ
if "log_20250818_(1)" not in wb.sheetnames:
ws = wb.create_sheet("log_20250818_(1)")
else:
ws = wb["log_20250818_(1)"]๋ฐ์ํ
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