gistfile1.txt

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   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
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   "source": [
    "''''\n",
    "Jonathan Kessous 454517\n",
    "Diunique Williams 950184\n",
    "Aundre Price 989670\n",
    "Larry Jackson 265408\n",
    "Josie Djach 577911\n",
    "'''\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_clipboard(names=[\"Name\", \"temp\", \"id\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Names</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jonathan Kessous</td>\n",
       "      <td>454517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Diunique Williams</td>\n",
       "      <td>950184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aundre Price</td>\n",
       "      <td>989670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Larry Jackson</td>\n",
       "      <td>265408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Josie Djach</td>\n",
       "      <td>577911</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Names      id\n",
       "0   Jonathan Kessous  454517\n",
       "1  Diunique Williams  950184\n",
       "2       Aundre Price  989670\n",
       "3      Larry Jackson  265408\n",
       "4        Josie Djach  577911"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.DataFrame(df['Name'] +' '+ df['temp'])\n",
    "df2 = df1.assign(id=df['id'].values)\n",
    "df2.columns = ['Names', 'id']\n",
    "df2\n",
    "#df2.to_excel(\"output.xlsx\", index=False) "
   ]
  }
 ],
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