sqlite.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b979d1c4",
   "metadata": {},
   "source": [
    "# SQLite "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f7e27e4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "conn = sqlite3.connect('example.db')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "91742aeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = conn.cursor()\n",
    "\n",
    "c.execute(\n",
    "    '''CREATE TABLE demo_table (name VARCHAR(20), age INT)'''\n",
    ")\n",
    "\n",
    "c.execute(\n",
    "    '''INSERT INTO demo_table VALUES (\"ram\", 20), (\"shyam\", 30);'''\n",
    ")\n",
    "\n",
    "conn.commit()\n",
    "conn.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3131e315",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "conn = sqlite3.connect('example.db')\n",
    "c = conn.cursor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "686f1c9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('ram', 20)\n",
      "('shyam', 30)\n"
     ]
    }
   ],
   "source": [
    "for row in c.execute('SELECT * FROM demo_table'):\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c2d647c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "26f355f7",
   "metadata": {},
   "source": [
    "# Jupyter Extensions "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a95daf9",
   "metadata": {},
   "source": [
    "```\n",
    "# !pip install ipython-sql\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "42124c22",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext sql\n",
    "%sql sqlite:///example.db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "09410316",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///example.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>name</th>\n",
       "        <th>age</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>ram</td>\n",
       "        <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>shyam</td>\n",
       "        <td>30</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('ram', 20), ('shyam', 30)]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT * FROM demo_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "79108b04",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///example.db\n",
      "2 rows affected.\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>name</th>\n",
       "        <th>age</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>ram</td>\n",
       "        <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>shyam</td>\n",
       "        <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>sarswati</td>\n",
       "        <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>padhma</td>\n",
       "        <td>50</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('ram', 20), ('shyam', 30), ('sarswati', 40), ('padhma', 50)]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "INSERT INTO demo_table VALUES \n",
    "    ('sarswati', 40), \n",
    "    ('padhma', 50); \n",
    "    \n",
    "SELECT * FROM demo_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "728b36b9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "84f855fe",
   "metadata": {},
   "source": [
    "# Pandas to Database "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a0cf5c98",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "356564da",
   "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>Name</th>\n",
       "      <th>Age</th>\n",
       "      <th>Wife</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ram</td>\n",
       "      <td>10</td>\n",
       "      <td>Sita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shyam</td>\n",
       "      <td>20</td>\n",
       "      <td>Radha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Gobinda</td>\n",
       "      <td>30</td>\n",
       "      <td>Devi</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Name  Age   Wife\n",
       "0      Ram   10   Sita\n",
       "1    Shyam   20  Radha\n",
       "2  Gobinda   30   Devi"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame({\n",
    "    'Name': ['Ram', 'Shyam', 'Gobinda'], \n",
    "    'Age': [10, 20, 30], \n",
    "    'Wife': ['Sita', 'Radha', 'Devi']\n",
    "})\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "563fce2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.to_sql('gods', conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "458222cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///example.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>index</th>\n",
       "        <th>Name</th>\n",
       "        <th>Age</th>\n",
       "        <th>Wife</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>0</td>\n",
       "        <td>Ram</td>\n",
       "        <td>10</td>\n",
       "        <td>Sita</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>1</td>\n",
       "        <td>Shyam</td>\n",
       "        <td>20</td>\n",
       "        <td>Radha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2</td>\n",
       "        <td>Gobinda</td>\n",
       "        <td>30</td>\n",
       "        <td>Devi</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(0, 'Ram', 10, 'Sita'), (1, 'Shyam', 20, 'Radha'), (2, 'Gobinda', 30, 'Devi')]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT * FROM gods;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c229ba54",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3 (ipykernel)",
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  "language_info": {
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