{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "60d26735",
   "metadata": {},
   "source": [
    "![alt text](routemap.png \"SQLite and Pandas quick intro\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "206b0ca9",
   "metadata": {},
   "source": [
    "![alt text](pandas_sqlite1_01.jpg \"Quick Intro\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "310ffd3b",
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "      index    id       name       city    country code  icao   latitude  \\\n",
       "0         0     1     Goroka     Goroka  Papua ...  GKA  AYGA  -6.081689   \n",
       "1         1     2     Madang     Madang  Papua ...  MAG  AYMD  -5.207083   \n",
       "...     ...   ...        ...        ...        ...  ...   ...        ...   \n",
       "8105   8105  9540  Deer H...  Deer H...  United...  DHB    \\N  48.618397   \n",
       "8106   8106  9541  San Di...  San Diego  United...  OLT    \\N    32.7552   \n",
       "\n",
       "      longitude altitude offset dst   timezone  \n",
       "0     145.39...     5282     10   U  Pacifi...  \n",
       "1      145.7887       20     10   U  Pacifi...  \n",
       "...         ...      ...    ...  ..        ...  \n",
       "8105  -123.0...        0     -8   A  Americ...  \n",
       "8106  -117.1995        0     -8   A  Americ...  \n",
       "\n",
       "[8107 rows x 13 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import sqlite3\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "pd.set_option(\"max_colwidth\", 10)\n",
    "pd.set_option(\"display.max_rows\", 5)\n",
    "\n",
    "\n",
    "con = sqlite3.connect(\"flights.db\")\n",
    "airdf = pd.read_sql_query(\"select * from airports;\", con)\n",
    "airdf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ccaf66a",
   "metadata": {},
   "source": [
    "![alt text](pandas_sqlite1_02.jpg \"Filtering in SQL\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "7449e83f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <td>Port M...</td>\n",
       "      <td>Canada</td>\n",
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       "      <td>Sulliv...</td>\n",
       "      <td>Canada</td>\n",
       "      <td>YTG</td>\n",
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       "      <td>Americ...</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>435 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     index    id       name       city country code  icao   latitude  \\\n",
       "0       20    21  Sault ...  Sault ...  Canada  YAM  CYAM  46.485001   \n",
       "1       21    22  Winnip...   Winnipeg  Canada  YAV  CYAV  50.056389   \n",
       "..     ...   ...        ...        ...     ...  ...   ...        ...   \n",
       "433   8103  9538  Port M...  Port M...  Canada  YMP    \\N  50.575556   \n",
       "434   8104  9539  Sulliv...  Sulliv...  Canada  YTG    \\N  50.883333   \n",
       "\n",
       "     longitude altitude offset dst   timezone  \n",
       "0    -84.50...      630     -5   A  Americ...  \n",
       "1     -97.0325      760     -6   A  Americ...  \n",
       "..         ...      ...    ...  ..        ...  \n",
       "433  -127.0...      225     -8   A  Americ...  \n",
       "434  -126.8...        0     -8   A  Americ...  \n",
       "\n",
       "[435 rows x 13 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "candf = pd.read_sql_query(\"select * from airports where country = 'Canada';\", con);\n",
    "candf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62af0322",
   "metadata": {},
   "source": [
    "![alt text](pandas_sqlite1_03.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c3ee1672",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Americ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>435 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      index    id       name       city country code  icao   latitude  longitude altitude offset dst   timezone\n",
       "20       20    21  Sault ...  Sault ...  Canada  YAM  CYAM  46.485001  -84.50...      630     -5   A  Americ...\n",
       "21       21    22  Winnip...   Winnipeg  Canada  YAV  CYAV  50.056389   -97.0325      760     -6   A  Americ...\n",
       "...     ...   ...        ...        ...     ...  ...   ...        ...        ...      ...    ...  ..        ...\n",
       "8103   8103  9538  Port M...  Port M...  Canada  YMP    \\N  50.575556  -127.0...      225     -8   A  Americ...\n",
       "8104   8104  9539  Sulliv...  Sulliv...  Canada  YTG    \\N  50.883333  -126.8...        0     -8   A  Americ...\n",
       "\n",
       "[435 rows x 13 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airdf.loc[airdf.country == \"Canada\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "486c9cda",
   "metadata": {},
   "source": [
    "![alt text](pandas_sqlite1_04.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "79117a6d",
   "metadata": {},
   "outputs": [
    {
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       "      sacode dacode  source_lon  source_lat   dest_lon   dest_lat\n",
       "0        AER    KZN  39.956589   43.449928   49.278728  55.606186\n",
       "1        ASF    KZN  48.006278   46.283333   49.278728  55.606186\n",
       "...      ...    ...        ...         ...         ...        ...\n",
       "67200    FRU    OSS  74.477556   43.061306   72.793269  40.608989\n",
       "67201    OSS    FRU  72.793269   40.608989   74.477556  43.061306\n",
       "\n",
       "[67202 rows x 6 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "routes = pd.read_sql_query(\"\"\"\n",
    "select sa.code as sacode, da.code as dacode, cast(sa.longitude as float) as source_lon,\n",
    "    cast(sa.latitude as float) as source_lat,\n",
    "    cast(da.longitude as float) as dest_lon,\n",
    "    cast(da.latitude as float) as dest_lat\n",
    "from routes\n",
    "    inner join airports sa on sa.id = routes.source_id\n",
    "    inner join airports da on da.id = routes.dest_id;\n",
    "\"\"\",con)\n",
    "routes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "214b9833",
   "metadata": {},
   "source": [
    "![alt text](pandas_sqlite2.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "15f4fb26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.coastlines()\n",
    "\n",
    "for name, row in routes[:3000].iterrows():\n",
    "    distcolor = \"blue\" if abs(row[\"source_lon\"] - row[\"dest_lon\"]) < 30  else \"red\"\n",
    "    plt.plot([row.source_lon, row.dest_lon], [row.source_lat, row.dest_lat],\n",
    "             color=distcolor, linewidth=1,\n",
    "             transform=ccrs.Geodetic(),)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f5132a85",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}