{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
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    {
     "data": {
      "text/plain": [
       "['工作表1', 'Sheet1']"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "res = list()\n",
    "\n",
    "plain = pd.ExcelFile('TestA.xlsx')\n",
    "for sheet_name in plain.sheet_names:\n",
    "    df1 = pd.read_excel('TestA.xlsx', sheet_name=sheet_name)\n",
    "    df2 = pd.read_excel('TestB.xlsx', sheet_name=sheet_name)\n",
    "\n",
    "    comparison_values = df1.values == df2.values\n",
    "    comparison_values\n",
    "\n",
    "    rows,cols=np.where(comparison_values==False)\n",
    "\n",
    "    for item in zip(rows,cols):\n",
    "        df1.iloc[item[0], item[1]] = '{} --> {}'.format(df1.iloc[item[0], item[1]],df2.iloc[item[0], item[1]])\n",
    "    \n",
    "    res.append(df1)\n",
    "    # df1.to_excel('new.xlsx', sheet_name=sheet_name)\n",
    "    \n",
    "\n",
    "with pd.ExcelWriter('new.xlsx') as writer:\n",
    "    for index in range(len(res)):\n",
    "        res[index].to_excel(writer, sheet_name=plain.sheet_names[index])\n",
    "\n",
    "pd.ExcelFile('new.xlsx').sheet_names"
   ]
  }
 ],
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