{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Export Dataset to CSV"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook shows an example of how to export a dataset to a csv file. \n",
    "It assumes you found the dataset using techniques shown in `finding_datasets.ipynb` and loaded the dataset using `loading_datasets.ipynb`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    import openpolicedata as opd   #This import should be last in the try block because the expect block will only try to load it\n",
    "except:\n",
    "    import sys\n",
    "    sys.path.append('../openpolicedata')\n",
    "    import openpolicedata as opd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State</th>\n",
       "      <th>SourceName</th>\n",
       "      <th>Agency</th>\n",
       "      <th>TableType</th>\n",
       "      <th>Year</th>\n",
       "      <th>Description</th>\n",
       "      <th>DataType</th>\n",
       "      <th>URL</th>\n",
       "      <th>date_field</th>\n",
       "      <th>dataset_id</th>\n",
       "      <th>agency_field</th>\n",
       "      <th>min_version</th>\n",
       "      <th>readme</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Maryland</td>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>TRAFFIC STOPS</td>\n",
       "      <td>MULTI</td>\n",
       "      <td>This dataset contains traffic violation inform...</td>\n",
       "      <td>Socrata</td>\n",
       "      <td>data.montgomerycountymd.gov</td>\n",
       "      <td>date_of_stop</td>\n",
       "      <td>4mse-ku6q</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>https://data.montgomerycountymd.gov/Public-Saf...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Maryland</td>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>COMPLAINTS</td>\n",
       "      <td>MULTI</td>\n",
       "      <td>This dataset contains allegations brought to t...</td>\n",
       "      <td>Socrata</td>\n",
       "      <td>data.montgomerycountymd.gov</td>\n",
       "      <td>created_dt</td>\n",
       "      <td>usip-62e2</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>https://data.montgomerycountymd.gov/Public-Saf...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      State         SourceName             Agency      TableType   Year  \\\n",
       "5  Maryland  Montgomery County  Montgomery County  TRAFFIC STOPS  MULTI   \n",
       "6  Maryland  Montgomery County  Montgomery County     COMPLAINTS  MULTI   \n",
       "\n",
       "                                         Description DataType  \\\n",
       "5  This dataset contains traffic violation inform...  Socrata   \n",
       "6  This dataset contains allegations brought to t...  Socrata   \n",
       "\n",
       "                           URL    date_field dataset_id agency_field  \\\n",
       "5  data.montgomerycountymd.gov  date_of_stop  4mse-ku6q         <NA>   \n",
       "6  data.montgomerycountymd.gov    created_dt  usip-62e2         <NA>   \n",
       "\n",
       "  min_version                                             readme  \n",
       "5        <NA>  https://data.montgomerycountymd.gov/Public-Saf...  \n",
       "6        <NA>  https://data.montgomerycountymd.gov/Public-Saf...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To access the data, create a source using a Source Name (usually a police department name). There is an optional state input to clarify ambiguities.\n",
    "# We will use the above cell's information for Maryland to choose the agency \"Montgomery County\" which we select for the source_name\n",
    "\n",
    "src = opd.Source(source_name=\"Montgomery County\", state=\"Maryland\")\n",
    "src.datasets.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load traffic stop data for 2021\n",
    "t = src.load(table_type='TRAFFIC STOPS', year=2021)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2021-01-01</td>\n",
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       "      <td>39.1436583333333</td>\n",
       "      <td>-77.2728533333333</td>\n",
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       "      <td>2021-01-01</td>\n",
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       "                     geometry                                seq_id  \\\n",
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       "\n",
       "  date_of_stop time_of_stop agency                 subagency  \\\n",
       "0   2021-01-01     23:03:00    MCP  5th District, Germantown   \n",
       "1   2021-01-01     23:03:00    MCP  5th District, Germantown   \n",
       "2   2021-01-01     23:03:00    MCP  5th District, Germantown   \n",
       "3   2021-01-01     22:43:00    MCP  5th District, Germantown   \n",
       "4   2021-01-01     22:20:00    MCP  5th District, Germantown   \n",
       "\n",
       "                                         description  \\\n",
       "0  DISPLAYING EXPIRED REGISTRATION PLATE ISSUED B...   \n",
       "1  EXCEEDING POSTED MAXIMUM SPEED LIMIT: 64 MPH I...   \n",
       "2                KNOWINGLY DRIVING UNINSURED VEHICLE   \n",
       "3  DRIVING VEHICLE IN EXCESS OF REASONABLE AND PR...   \n",
       "4                  DRIVER CHANGING LANES WHEN UNSAFE   \n",
       "\n",
       "                       location          latitude          longitude  ...  \\\n",
       "0  GREAT SENECA @ WSSC ENTRANCE  39.1465333333333  -77.2750433333333  ...   \n",
       "1  GREAT SENECA @ WSSC ENTRANCE  39.1465333333333  -77.2750433333333  ...   \n",
       "2  GREAT SENECA @ WSSC ENTRANCE  39.1465333333333  -77.2750433333333  ...   \n",
       "3     GREAT SENECA @ HORN POINT  39.1436583333333  -77.2728533333333  ...   \n",
       "4           118 @ WALTERJOHNSON         39.174195         -77.274045  ...   \n",
       "\n",
       "  driver_state dl_state        arrest_type search_conducted search_outcome  \\\n",
       "0           MD       MD   Q - Marked Laser              NaN            NaN   \n",
       "1           MD       MD   Q - Marked Laser              NaN            NaN   \n",
       "2           MD       MD   Q - Marked Laser              NaN            NaN   \n",
       "3           MD       MD  A - Marked Patrol               No        Warning   \n",
       "4           MD       MD  A - Marked Patrol               No        Warning   \n",
       "\n",
       "  search_reason_for_stop search_disposition search_reason search_type  \\\n",
       "0                    NaN                NaN           NaN         NaN   \n",
       "1                    NaN                NaN           NaN         NaN   \n",
       "2                    NaN                NaN           NaN         NaN   \n",
       "3              21-801(a)                NaN           NaN         NaN   \n",
       "4              21-309(b)                NaN           NaN         NaN   \n",
       "\n",
       "  search_arrest_reason  \n",
       "0                  NaN  \n",
       "1                  NaN  \n",
       "2                  NaN  \n",
       "3                  NaN  \n",
       "4                  NaN  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show the first 5 rows of the table\n",
    "t.table.head(n=5)\n",
    "# Now you are ready for analyzing the data in the table t."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The CSV file will be written to c:\\Users\\matth\\repos\\opd-examples. Make sure this path is okay before running the next cell. If the path is not okay then modify csv_filepath.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "cwd = os.getcwd()\n",
    "csv_filepath = cwd\n",
    "\n",
    "print(f\"The CSV file will be written to {csv_filepath}. Make sure this path is okay before running the next cell. If the path is not okay then modify csv_filepath.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The CSV file was written to c:\\Users\\matth\\repos\\opd-examples\\Maryland_Montgomery_County_TRAFFIC_STOPS_2021.csv.\n"
     ]
    }
   ],
   "source": [
    "# Save to CSV. To specify a custom filename, set the filename input\n",
    "csv_written_filename=t.to_csv(output_dir=csv_filepath)\n",
    "print(f\"The CSV file was written to {csv_written_filename}.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "      <td>GREAT SENECA @ WSSC ENTRANCE</td>\n",
       "      <td>39.146533</td>\n",
       "      <td>-77.275043</td>\n",
       "      <td>...</td>\n",
       "      <td>MD</td>\n",
       "      <td>MD</td>\n",
       "      <td>Q - Marked Laser</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POINT (-77.2728533333333 39.1436583333333)</td>\n",
       "      <td>1b7c9229-d80f-4ed2-9692-d24a6fbda5c7</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>22:43:00</td>\n",
       "      <td>MCP</td>\n",
       "      <td>5th District, Germantown</td>\n",
       "      <td>DRIVING VEHICLE IN EXCESS OF REASONABLE AND PR...</td>\n",
       "      <td>GREAT SENECA @ HORN POINT</td>\n",
       "      <td>39.143658</td>\n",
       "      <td>-77.272853</td>\n",
       "      <td>...</td>\n",
       "      <td>MD</td>\n",
       "      <td>MD</td>\n",
       "      <td>A - Marked Patrol</td>\n",
       "      <td>No</td>\n",
       "      <td>Warning</td>\n",
       "      <td>21-801(a)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POINT (-77.274045 39.174195)</td>\n",
       "      <td>0c6f50ae-d462-4356-8319-e1f035dc00fc</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>22:20:00</td>\n",
       "      <td>MCP</td>\n",
       "      <td>5th District, Germantown</td>\n",
       "      <td>DRIVER CHANGING LANES WHEN UNSAFE</td>\n",
       "      <td>118 @ WALTERJOHNSON</td>\n",
       "      <td>39.174195</td>\n",
       "      <td>-77.274045</td>\n",
       "      <td>...</td>\n",
       "      <td>MD</td>\n",
       "      <td>MD</td>\n",
       "      <td>A - Marked Patrol</td>\n",
       "      <td>No</td>\n",
       "      <td>Warning</td>\n",
       "      <td>21-309(b)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     geometry  \\\n",
       "0  POINT (-77.2750433333333 39.1465333333333)   \n",
       "1  POINT (-77.2750433333333 39.1465333333333)   \n",
       "2  POINT (-77.2750433333333 39.1465333333333)   \n",
       "3  POINT (-77.2728533333333 39.1436583333333)   \n",
       "4                POINT (-77.274045 39.174195)   \n",
       "\n",
       "                                 seq_id date_of_stop time_of_stop agency  \\\n",
       "0  123add05-d3d2-428d-9932-66bc30831388   2021-01-01     23:03:00    MCP   \n",
       "1  123add05-d3d2-428d-9932-66bc30831388   2021-01-01     23:03:00    MCP   \n",
       "2  123add05-d3d2-428d-9932-66bc30831388   2021-01-01     23:03:00    MCP   \n",
       "3  1b7c9229-d80f-4ed2-9692-d24a6fbda5c7   2021-01-01     22:43:00    MCP   \n",
       "4  0c6f50ae-d462-4356-8319-e1f035dc00fc   2021-01-01     22:20:00    MCP   \n",
       "\n",
       "                  subagency  \\\n",
       "0  5th District, Germantown   \n",
       "1  5th District, Germantown   \n",
       "2  5th District, Germantown   \n",
       "3  5th District, Germantown   \n",
       "4  5th District, Germantown   \n",
       "\n",
       "                                         description  \\\n",
       "0  DISPLAYING EXPIRED REGISTRATION PLATE ISSUED B...   \n",
       "1  EXCEEDING POSTED MAXIMUM SPEED LIMIT: 64 MPH I...   \n",
       "2                KNOWINGLY DRIVING UNINSURED VEHICLE   \n",
       "3  DRIVING VEHICLE IN EXCESS OF REASONABLE AND PR...   \n",
       "4                  DRIVER CHANGING LANES WHEN UNSAFE   \n",
       "\n",
       "                       location   latitude  longitude  ... driver_state  \\\n",
       "0  GREAT SENECA @ WSSC ENTRANCE  39.146533 -77.275043  ...           MD   \n",
       "1  GREAT SENECA @ WSSC ENTRANCE  39.146533 -77.275043  ...           MD   \n",
       "2  GREAT SENECA @ WSSC ENTRANCE  39.146533 -77.275043  ...           MD   \n",
       "3     GREAT SENECA @ HORN POINT  39.143658 -77.272853  ...           MD   \n",
       "4           118 @ WALTERJOHNSON  39.174195 -77.274045  ...           MD   \n",
       "\n",
       "  dl_state        arrest_type search_conducted search_outcome  \\\n",
       "0       MD   Q - Marked Laser              NaN            NaN   \n",
       "1       MD   Q - Marked Laser              NaN            NaN   \n",
       "2       MD   Q - Marked Laser              NaN            NaN   \n",
       "3       MD  A - Marked Patrol               No        Warning   \n",
       "4       MD  A - Marked Patrol               No        Warning   \n",
       "\n",
       "  search_reason_for_stop search_disposition search_reason search_type  \\\n",
       "0                    NaN                NaN           NaN         NaN   \n",
       "1                    NaN                NaN           NaN         NaN   \n",
       "2                    NaN                NaN           NaN         NaN   \n",
       "3              21-801(a)                NaN           NaN         NaN   \n",
       "4              21-309(b)                NaN           NaN         NaN   \n",
       "\n",
       "  search_arrest_reason  \n",
       "0                  NaN  \n",
       "1                  NaN  \n",
       "2                  NaN  \n",
       "3                  NaN  \n",
       "4                  NaN  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To load data back in from CSV, create a new source and use load_from_csv\n",
    "# load_from_csv usage is similar to load except for the output_dir\n",
    "# input\n",
    "src = opd.Source(source_name=\"Montgomery County\", state=\"Maryland\")\n",
    "t = src.load_from_csv(year=2021, table_type='TRAFFIC STOPS', output_dir=csv_filepath)\n",
    "t.table.head()"
   ]
  }
 ],
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