Delete DataBase

Delete.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sqlalchemy as db\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "engine = db.create_engine('sqlite:///test.sqlite')\n",
    "metadata = db.MetaData()\n",
    "connection = engine.connect()\n",
    "emp = db.Table('emp', metadata, autoload=True, autoload_with=engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>name</th>\n",
       "      <th>salary</th>\n",
       "      <th>active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>vinay</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>satvik</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>naveen</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>rahul</td>\n",
       "      <td>80000.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "   Id    name    salary  active\n",
       "0   1   vinay  100000.0    True\n",
       "1   1  satvik  100000.0    True\n",
       "2   1  naveen  100000.0    True\n",
       "3   2   rahul   80000.0   False"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = connection.execute(db.select([emp])).fetchall()\n",
    "df = pd.DataFrame(results)\n",
    "df.columns = results[0].keys()\n",
    "df.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build a statement to delete where salary < 100000\n",
    "query = db.delete(emp)\n",
    "query = query.where(emp.columns.salary < 100000)\n",
    "results = connection.execute(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>name</th>\n",
       "      <th>salary</th>\n",
       "      <th>active</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>vinay</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>satvik</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>naveen</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "   Id    name    salary  active\n",
       "0   1   vinay  100000.0    True\n",
       "1   1  satvik  100000.0    True\n",
       "2   1  naveen  100000.0    True"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = connection.execute(db.select([emp])).fetchall()\n",
    "df = pd.DataFrame(results)\n",
    "df.columns = results[0].keys()\n",
    "df.head(4)"
   ]
  }
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