df16c98366
공공기관2 작업 중. _temp 몽타주(재생성가능)는 제외. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
32 lines
1.4 KiB
Python
32 lines
1.4 KiB
Python
import sys, io
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sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
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import openpyxl
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PKG = r'D:\01.프로젝트\DB수집\작업파일\_제출패키지_2026-06-03\프리랜서1\충청남도_부여군.xlsx'
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ws = openpyxl.load_workbook(PKG).active
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def anyb(cell):
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b=cell.border
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return any([b.left.style, b.right.style, b.top.style, b.bottom.style])
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def allb(cell):
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b=cell.border
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return all([b.left.style, b.right.style, b.top.style, b.bottom.style])
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# Use col K(11), L(12), G(7), B(2) as probes
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for probe,name in [(2,'B'),(7,'G'),(11,'K'),(12,'L'),(14,'N'),(15,'O')]:
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no=[r for r in range(3,ws.max_row+1) if not anyb(ws.cell(r,probe))]
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def ranges(lst):
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out=[]
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for x in lst:
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if out and x==out[-1][1]+1: out[-1][1]=x
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else: out.append([x,x])
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return [(a,b) for a,b in out]
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print(f'col {name}: NO-border rows={len(no)} ranges={ranges(no)[:12]}')
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# detailed: full row border completeness using probe cells that should be thin all-sides (B,F..Q,L..)
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# Compare a "good" row 233 set vs others: which rows differ from having thin on K
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print('\n=== K(11) border per 40-row buckets (count with border) ===')
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for start in range(3, ws.max_row+1, 40):
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end=min(start+39, ws.max_row)
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cnt=sum(1 for r in range(start,end+1) if anyb(ws.cell(r,11)))
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print(f' rows {start}-{end}: K-bordered {cnt}/{end-start+1}')
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