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   "source": [
    "# Excel\n",
    "\n",
    "pandas also supports reading table data stored in Excel 2003 (and higher) files, either with the `ExcelFile` class or the `pandas.read_excel` function. Internally, these tools use the add-on packages [xlrd](https://xlrd.readthedocs.io/en/latest/) and [openpyxl](https://openpyxl.readthedocs.io/en/stable/) to read XLS and XLSX files respectively. These must be installed separately from pandas with uv.\n",
    "\n",
    "To use `ExcelFile`, create an instance by passing a path to an xls or xlsx file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f183dfbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "40329ed1",
   "metadata": {},
   "outputs": [],
   "source": [
    "xlsx = pd.ExcelFile(\"library.xlsx\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cf907fa",
   "metadata": {},
   "source": [
    "You can then display the sheets of the file with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2cc064ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['books']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xlsx.sheet_names"
   ]
  },
  {
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   ],
   "source": [
    "books = pd.read_excel(xlsx, \"books\")\n",
    "\n",
    "books"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52a2a7a6",
   "metadata": {},
   "source": [
    "If you are reading in multiple sheets of a file, it is quicker to create the Excel file, but you can also just pass the file name to `pandas.read_excel`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "47bcb108",
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   "outputs": [
    {
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       "1  Jupyter Tutorial      en  Veit Schiele  BSD-3-Clause             2019-06-27\n",
       "2  Jupyter Tutorial      de  Veit Schiele  BSD-3-Clause             2020-10-26\n",
       "3    PyViz Tutorial      en  Veit Schiele  BSD-3-Clause             2020-04-13"
      ]
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     "execution_count": 5,
     "metadata": {},
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    }
   ],
   "source": [
    "pd.read_excel(\"library.xlsx\", \"books\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fcf9add3",
   "metadata": {},
   "source": [
    "To write pandas data in Excel format, you must first create an `ExcelWriter` and then write data to it using [pandas.DataFrame.to_excel](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_excel.html):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f14bcd9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "writer = pd.ExcelWriter(\"library.xlsx\")\n",
    "books.to_excel(writer, \"books\")\n",
    "writer.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e28801c",
   "metadata": {},
   "source": [
    "You can also pass a file path `to_excel` and thus bypass the `ExcelWriter`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "79d7b65a",
   "metadata": {},
   "outputs": [],
   "source": [
    "books.to_excel(\"library.xlsx\")"
   ]
  }
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