pandas/excel_to_multi_sheet.ipynb

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    "import pandas as pd\n",
    "\n",
    "data = [[1,2],[2,3],[3,4]]\n",
    "index = [1,2,3]\n",
    "column = ['c1','c2']\n",
    "df1 = pd.DataFrame(data,index,column)"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "data = [[11,22],[22,33],[33,44]]\n",
    "index = [1,2,3]\n",
    "column = ['c11','c22']\n",
    "df2 = pd.DataFrame(data,index,column)"
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  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
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   "source": [
    "data = [[111,222],[222,333],[333,444]]\n",
    "index = [1,2,3]\n",
    "column = ['c111','c222']\n",
    "df3 = pd.DataFrame(data,index,column)"
   ]
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   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a Pandas Excel writer using XlsxWriter as the engine.\n",
    "writer = pd.ExcelWriter('pandas_multiple.xlsx')\n",
    "\n",
    "# Write each dataframe to a different worksheet.\n",
    "df1.to_excel(writer, sheet_name='Sheet1')\n",
    "df2.to_excel(writer, sheet_name='Sheet2')\n",
    "df3.to_excel(writer, sheet_name='Sheet3')\n",
    "\n",
    "# Close the Pandas Excel writer and output the Excel file.\n",
    "writer.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "collapsed": true
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   "outputs": [],
   "source": []
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