database_engineering.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Import SQLAlchemy 'automap' and other dependencies\n",
    "import sqlalchemy\n",
    "from sqlalchemy.ext.automap import automap_base\n",
    "from sqlalchemy.orm import session\n",
    "from sqlalchemy.orm import sessionmaker, relationship\n",
    "from sqlalchemy import MetaData, create_engine, inspect, Column, Integer, String, Numeric, Text, Float, Date\n",
    "import sqlite3\n",
    "\n",
    "from sqlalchemy.ext.declarative import declarative_base\n",
    "Base = declarative_base()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Read in cleaned (CSV) data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "file_path_measurements = \"output/clean_hawaii_measurements.csv\"\n",
    "file_path_stations = \"output/clean_hawaii_stations.csv\"\n",
    "\n",
    "clean_data_measurements = pd.read_csv(file_path_measurements)\n",
    "clean_data_stations = pd.read_csv(file_path_stations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Give the first column in each table the header 'id'\n",
    "clean_data_measurements = clean_data_measurements.rename(columns={'Unnamed: 0': 'id'})\n",
    "clean_data_stations = clean_data_stations.rename(columns={'Unnamed: 0': 'id'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>station</th>\n",
       "      <th>date</th>\n",
       "      <th>prcp</th>\n",
       "      <th>tobs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>USC00519397</td>\n",
       "      <td>2010-01-01</td>\n",
       "      <td>0.08</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>USC00519397</td>\n",
       "      <td>2010-01-02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>USC00519397</td>\n",
       "      <td>2010-01-03</td>\n",
       "      <td>0.00</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>USC00519397</td>\n",
       "      <td>2010-01-04</td>\n",
       "      <td>0.00</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>USC00519397</td>\n",
       "      <td>2010-01-07</td>\n",
       "      <td>0.06</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   id      station        date  prcp  tobs\n",
       "0   0  USC00519397  2010-01-01  0.08    65\n",
       "1   1  USC00519397  2010-01-02  0.00    63\n",
       "2   2  USC00519397  2010-01-03  0.00    74\n",
       "3   3  USC00519397  2010-01-04  0.00    76\n",
       "4   5  USC00519397  2010-01-07  0.06    70"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clean_data_measurements.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 18103 entries, 0 to 18102\n",
      "Data columns (total 5 columns):\n",
      "id         18103 non-null int64\n",
      "station    18103 non-null object\n",
      "date       18103 non-null object\n",
      "prcp       18103 non-null float64\n",
      "tobs       18103 non-null int64\n",
      "dtypes: float64(1), int64(2), object(2)\n",
      "memory usage: 707.2+ KB\n"
     ]
    }
   ],
   "source": [
    "clean_data_measurements.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>id</th>\n",
       "      <th>station</th>\n",
       "      <th>name</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>elevation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>USC00519397</td>\n",
       "      <td>WAIKIKI 717.2, HI US</td>\n",
       "      <td>21.27160</td>\n",
       "      <td>-157.81680</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>USC00513117</td>\n",
       "      <td>KANEOHE 838.1, HI US</td>\n",
       "      <td>21.42340</td>\n",
       "      <td>-157.80150</td>\n",
       "      <td>14.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>USC00514830</td>\n",
       "      <td>KUALOA RANCH HEADQUARTERS 886.9, HI US</td>\n",
       "      <td>21.52130</td>\n",
       "      <td>-157.83740</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>USC00517948</td>\n",
       "      <td>PEARL CITY, HI US</td>\n",
       "      <td>21.39340</td>\n",
       "      <td>-157.97510</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>USC00518838</td>\n",
       "      <td>UPPER WAHIAWA 874.3, HI US</td>\n",
       "      <td>21.49920</td>\n",
       "      <td>-158.01110</td>\n",
       "      <td>306.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>USC00519523</td>\n",
       "      <td>WAIMANALO EXPERIMENTAL FARM, HI US</td>\n",
       "      <td>21.33556</td>\n",
       "      <td>-157.71139</td>\n",
       "      <td>19.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>USC00519281</td>\n",
       "      <td>WAIHEE 837.5, HI US</td>\n",
       "      <td>21.45167</td>\n",
       "      <td>-157.84889</td>\n",
       "      <td>32.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>USC00511918</td>\n",
       "      <td>HONOLULU OBSERVATORY 702.2, HI US</td>\n",
       "      <td>21.31520</td>\n",
       "      <td>-157.99920</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>USC00516128</td>\n",
       "      <td>MANOA LYON ARBO 785.2, HI US</td>\n",
       "      <td>21.33310</td>\n",
       "      <td>-157.80250</td>\n",
       "      <td>152.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id      station                                    name  latitude  \\\n",
       "0   0  USC00519397                    WAIKIKI 717.2, HI US  21.27160   \n",
       "1   1  USC00513117                    KANEOHE 838.1, HI US  21.42340   \n",
       "2   2  USC00514830  KUALOA RANCH HEADQUARTERS 886.9, HI US  21.52130   \n",
       "3   3  USC00517948                       PEARL CITY, HI US  21.39340   \n",
       "4   4  USC00518838              UPPER WAHIAWA 874.3, HI US  21.49920   \n",
       "5   5  USC00519523      WAIMANALO EXPERIMENTAL FARM, HI US  21.33556   \n",
       "6   6  USC00519281                     WAIHEE 837.5, HI US  21.45167   \n",
       "7   7  USC00511918       HONOLULU OBSERVATORY 702.2, HI US  21.31520   \n",
       "8   8  USC00516128            MANOA LYON ARBO 785.2, HI US  21.33310   \n",
       "\n",
       "   longitude  elevation  \n",
       "0 -157.81680        3.0  \n",
       "1 -157.80150       14.6  \n",
       "2 -157.83740        7.0  \n",
       "3 -157.97510       11.9  \n",
       "4 -158.01110      306.6  \n",
       "5 -157.71139       19.5  \n",
       "6 -157.84889       32.9  \n",
       "7 -157.99920        0.9  \n",
       "8 -157.80250      152.4  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clean_data_stations.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create the database for later use"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define our measurements table\n",
    "class Measurement(Base):\n",
    "    __tablename__ = 'measurement'\n",
    "    id = Column(Integer, primary_key=True)\n",
    "    station = Column(Text)\n",
    "    date = Column(Date)\n",
    "    prcp = Column(Float)\n",
    "    tobs = Column(Float)\n",
    "    \n",
    "    def __repr__(self):\n",
    "        return f\"id={self.id}, name={self.measurement}\"\n",
    "    \n",
    "# Define our stations table\n",
    "class Station(Base):\n",
    "    __tablename__ = 'station'\n",
    "    id = Column(Integer, primary_key=True)\n",
    "    station = Column(String)\n",
    "    name = Column(String)\n",
    "    latitude = Column(Float)\n",
    "    longitude = Column(Float)\n",
    "    elevation = Column(Float)\n",
    "    \n",
    "    def __repr__(self):\n",
    "        return f\"id={self.id}, name={self.station}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "engine = create_engine(\"sqlite:///output/hawaii.sqlite\")\n",
    "\n",
    "#Create the database\n",
    "Base.metadata.create_all(engine)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['measurement', 'station']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Check that table names are correct\n",
    "engine.table_names()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import csv data into sqlite database\n",
    "clean_data_measurements.to_sql('measurement', con=engine, if_exists='append', index=False)\n",
    "clean_data_stations.to_sql('station', con=engine, if_exists='append', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 'USC00519397', '2010-01-01', 0.08, 65.0),\n",
       " (1, 'USC00519397', '2010-01-02', 0.0, 63.0),\n",
       " (2, 'USC00519397', '2010-01-03', 0.0, 74.0),\n",
       " (3, 'USC00519397', '2010-01-04', 0.0, 76.0),\n",
       " (5, 'USC00519397', '2010-01-07', 0.06, 70.0)]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Check that data was imported correctly\n",
    "engine.execute(\"SELECT * FROM measurement LIMIT 5\").fetchall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 'USC00519397', 'WAIKIKI 717.2, HI US', 21.2716, -157.8168, 3.0),\n",
       " (1, 'USC00513117', 'KANEOHE 838.1, HI US', 21.4234, -157.8015, 14.6),\n",
       " (2, 'USC00514830', 'KUALOA RANCH HEADQUARTERS 886.9, HI US', 21.5213, -157.8374, 7.0),\n",
       " (3, 'USC00517948', 'PEARL CITY, HI US', 21.3934, -157.9751, 11.9),\n",
       " (4, 'USC00518838', 'UPPER WAHIAWA 874.3, HI US', 21.4992, -158.0111, 306.6)]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "engine.execute(\"SELECT * FROM station LIMIT 5\").fetchall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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