Tutorial 13- Python Pandas Working With XML Tutorials- Part 5.ipynb

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   "source": [
    "## Tutorial 13- Python Pandas Working With XML Tutorials- Part 5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f409537",
   "metadata": {},
   "source": [
    "1. Read XML and get Dataframe\n",
    "2. Convert Dataframe to XML"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c5ff053",
   "metadata": {},
   "source": [
    "What is XML?\n",
    "1. XML stands for eXtensible Markup Language\n",
    "2. XML is a markup language much like HTML\n",
    "3. XML was designed to store and transport data\n",
    "4. XML was designed to be self-descriptive\n",
    "5. XML is a W3C Recommendation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f0dc4719",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shape</th>\n",
       "      <th>degrees</th>\n",
       "      <th>sides</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>square</td>\n",
       "      <td>360</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>circle</td>\n",
       "      <td>360</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>triangle</td>\n",
       "      <td>180</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "      shape  degrees  sides\n",
       "0    square      360    4.0\n",
       "1    circle      360    NaN\n",
       "2  triangle      180    3.0"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "pd.read_xml('test.xml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f1aa09ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "xml = '''<?xml version='1.0' encoding='utf-8'?>\n",
    "<data xmlns=\"http://example.com\">\n",
    " <row>\n",
    "   <shape>square</shape>\n",
    "   <degrees>360</degrees>\n",
    "   <sides>4.0</sides>\n",
    "   <firstname>Krish</firstname>\n",
    " </row>\n",
    " <row>\n",
    "   <shape>circle</shape>\n",
    "   <degrees>360</degrees>\n",
    "   <sides/>\n",
    "   <firstname/>\n",
    " </row>\n",
    " <row>\n",
    "   <shape>triangle</shape>\n",
    "   <degrees>180</degrees>\n",
    "   <sides>3.0</sides>\n",
    "   <firstname/>\n",
    " </row>\n",
    "</data>'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "01cf1e58",
   "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",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shape</th>\n",
       "      <th>degrees</th>\n",
       "      <th>sides</th>\n",
       "      <th>firstname</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>square</td>\n",
       "      <td>360</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Krish</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>circle</td>\n",
       "      <td>360</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>triangle</td>\n",
       "      <td>180</td>\n",
       "      <td>3.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      shape  degrees  sides firstname\n",
       "0    square      360    4.0     Krish\n",
       "1    circle      360    NaN      None\n",
       "2  triangle      180    3.0      None"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_xml(xml)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "c08a4a3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "xml = '''<?xml version='1.0' encoding='utf-8'?>\n",
    "<data>\n",
    "  <row shape=\"square\" degrees=\"360\" sides=\"4.0\" firstname=\"Krish\"/>\n",
    "  <row shape=\"circle\" degrees=\"360\"/>\n",
    "  <row shape=\"triangle\" degrees=\"180\" sides=\"3.0\" lastname=\"Naik\"/>\n",
    "</data>'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "87aaf890",
   "metadata": {},
   "outputs": [
    {
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       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shape</th>\n",
       "      <th>degrees</th>\n",
       "      <th>sides</th>\n",
       "      <th>firstname</th>\n",
       "      <th>lastname</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>square</td>\n",
       "      <td>360</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Krish</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>circle</td>\n",
       "      <td>360</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>triangle</td>\n",
       "      <td>180</td>\n",
       "      <td>3.0</td>\n",
       "      <td>None</td>\n",
       "      <td>Naik</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      shape  degrees  sides firstname lastname\n",
       "0    square      360    4.0     Krish     None\n",
       "1    circle      360    NaN      None     None\n",
       "2  triangle      180    3.0      None     Naik"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_xml(xml,xpath=\".//row\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "7418e5c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "xml = '''<?xml version='1.0' encoding='utf-8'?>\n",
    "<doc:data xmlns:doc=\"https://example.com\">\n",
    "  <doc:row>\n",
    "    <doc:shape>square</doc:shape>\n",
    "    <doc:degrees>360</doc:degrees>\n",
    "    <doc:sides>4.0</doc:sides>\n",
    "  </doc:row>\n",
    "  <doc:row>\n",
    "    <doc:shape>circle</doc:shape>\n",
    "    <doc:degrees>360</doc:degrees>\n",
    "    <doc:sides/>\n",
    "  </doc:row>\n",
    "  <doc:row>\n",
    "    <doc:shape>triangle</doc:shape>\n",
    "    <doc:degrees>180</doc:degrees>\n",
    "    <doc:sides>3.0</doc:sides>\n",
    "  </doc:row>\n",
    "</doc:data>'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "bed850cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_xml(xml,xpath=\".//doc:row\",namespaces={\"doc\": \"https://example.com\"})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "e159c917",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_xml('test1.xml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "64656726",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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