# HG changeset patch # User Henry S. Thompson # Date 1612121791 0 # Node ID 27d73fcbd781022ef886b09c7fd614f430d41f0f # Parent b1ec44d254c6d20408506436468ebc5e29c6699a simple cell-by-cell value comparison of xl spreadsheets diff -r b1ec44d254c6 -r 27d73fcbd781 xldiff.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/xldiff.py Sun Jan 31 19:36:31 2021 +0000 @@ -0,0 +1,64 @@ +#!/usr/bin/python3 +'''Compare two excel books + Courtesy of https://kanoki.org/2019/02/26/compare-two-excel-files-for-difference-using-python/''' +import pandas as pd +import numpy as np +import math, sys +def usage(): + print('''Usage: xldiff.py f1 f2''',file=sys.stderr) + +if len(sys.argv)==3: + f1=sys.argv[1] + f2=sys.argv[2] + try: + with open(f1) as _: + pass + except: + print("Can't open %s"%f1,file=sys.stderr) + exit(2) + try: + with open(f2) as _: + pass + except: + print("Can't open %s"%f2,file=sys.stderr) + exit(2) +else: + usage() + exit(1) + +def check(s1,s2): + lv=(s1.columns==s2.columns) + ii=np.where(lv==False)[0] + for i in ii: + if not(pd.isnull(s1.columns[i]) and + pd.isnull(s2.columns[i])): + print('',"0,%s: |%s| ~= |%s|"%(i, + s1.columns[i], + s2.columns[i])) + cv=(s1.values==s2.values) + rows,cols=np.where(cv==False) + for i,j in zip(rows,cols): + if not(pd.isnull(s1.iloc[i,j]) and + pd.isnull(s2.iloc[i,j])): + print('',"%s,%s: |%s| ~= |%s|"%(i+1,j, + s1.iloc[i,j], + s2.iloc[i,j])) + +b1=pd.read_excel(f1,None) +b2=pd.read_excel(f2,None) + +keys=set(b1.keys()).union(set(b2.keys())) +for k in keys: + if k not in b2: + print("Sheet %s in %s but not in %s"%(k,f1,f2)) + continue + if k not in b1: + print("Sheet %s in %s but not in %s"%(k,f2,f1)) + continue + s1=b1[k] + s2=b2[k] + print(k) + if not s1.equals(s2): + print(" (Sheet not of equal 'shape', may be false positive)") + check(s1,s2) +