NYC_CitiBike_Challenge.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. Create a DataFrame for the 201908-citibike-tripdata data. \n",
    "bike_data = pd.read_csv(f'C://Users\\CFlynn3\\OneDrive - KNEX\\Desktop\\MSU_Bootcamp\\MSU_Week14/201908-citibike-tripdata.csv')\n",
    "bike_df = pd.DataFrame(bike_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\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>tripduration</th>\n",
       "      <th>starttime</th>\n",
       "      <th>stoptime</th>\n",
       "      <th>start station id</th>\n",
       "      <th>start station name</th>\n",
       "      <th>start station latitude</th>\n",
       "      <th>start station longitude</th>\n",
       "      <th>end station id</th>\n",
       "      <th>end station name</th>\n",
       "      <th>end station latitude</th>\n",
       "      <th>end station longitude</th>\n",
       "      <th>bikeid</th>\n",
       "      <th>usertype</th>\n",
       "      <th>birth year</th>\n",
       "      <th>gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>393</td>\n",
       "      <td>2019-08-01 00:00:01.4680</td>\n",
       "      <td>2019-08-01 00:06:35.3780</td>\n",
       "      <td>531.0</td>\n",
       "      <td>Forsyth St &amp; Broome St</td>\n",
       "      <td>40.718939</td>\n",
       "      <td>-73.992663</td>\n",
       "      <td>408.0</td>\n",
       "      <td>Market St &amp; Cherry St</td>\n",
       "      <td>40.710762</td>\n",
       "      <td>-73.994004</td>\n",
       "      <td>35305</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1996</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>627</td>\n",
       "      <td>2019-08-01 00:00:01.9290</td>\n",
       "      <td>2019-08-01 00:10:29.7840</td>\n",
       "      <td>274.0</td>\n",
       "      <td>Lafayette Ave &amp; Fort Greene Pl</td>\n",
       "      <td>40.686919</td>\n",
       "      <td>-73.976682</td>\n",
       "      <td>3409.0</td>\n",
       "      <td>Bergen St &amp; Smith St</td>\n",
       "      <td>40.686744</td>\n",
       "      <td>-73.990632</td>\n",
       "      <td>38822</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1998</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1132</td>\n",
       "      <td>2019-08-01 00:00:04.0480</td>\n",
       "      <td>2019-08-01 00:18:56.1650</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>Front St &amp; Washington St</td>\n",
       "      <td>40.702551</td>\n",
       "      <td>-73.989402</td>\n",
       "      <td>3388.0</td>\n",
       "      <td>President St &amp; Henry St</td>\n",
       "      <td>40.682800</td>\n",
       "      <td>-73.999904</td>\n",
       "      <td>18373</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1988</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1780</td>\n",
       "      <td>2019-08-01 00:00:04.1630</td>\n",
       "      <td>2019-08-01 00:29:44.7940</td>\n",
       "      <td>479.0</td>\n",
       "      <td>9 Ave &amp; W 45 St</td>\n",
       "      <td>40.760193</td>\n",
       "      <td>-73.991255</td>\n",
       "      <td>473.0</td>\n",
       "      <td>Rivington St &amp; Chrystie St</td>\n",
       "      <td>40.721101</td>\n",
       "      <td>-73.991925</td>\n",
       "      <td>25002</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1988</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1517</td>\n",
       "      <td>2019-08-01 00:00:05.4580</td>\n",
       "      <td>2019-08-01 00:25:23.4550</td>\n",
       "      <td>3312.0</td>\n",
       "      <td>1 Ave &amp; E 94 St</td>\n",
       "      <td>40.781721</td>\n",
       "      <td>-73.945940</td>\n",
       "      <td>3312.0</td>\n",
       "      <td>1 Ave &amp; E 94 St</td>\n",
       "      <td>40.781721</td>\n",
       "      <td>-73.945940</td>\n",
       "      <td>31198</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1965</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   tripduration                 starttime                  stoptime  \\\n",
       "0           393  2019-08-01 00:00:01.4680  2019-08-01 00:06:35.3780   \n",
       "1           627  2019-08-01 00:00:01.9290  2019-08-01 00:10:29.7840   \n",
       "2          1132  2019-08-01 00:00:04.0480  2019-08-01 00:18:56.1650   \n",
       "3          1780  2019-08-01 00:00:04.1630  2019-08-01 00:29:44.7940   \n",
       "4          1517  2019-08-01 00:00:05.4580  2019-08-01 00:25:23.4550   \n",
       "\n",
       "   start station id              start station name  start station latitude  \\\n",
       "0             531.0          Forsyth St & Broome St               40.718939   \n",
       "1             274.0  Lafayette Ave & Fort Greene Pl               40.686919   \n",
       "2            2000.0        Front St & Washington St               40.702551   \n",
       "3             479.0                 9 Ave & W 45 St               40.760193   \n",
       "4            3312.0                 1 Ave & E 94 St               40.781721   \n",
       "\n",
       "   start station longitude  end station id            end station name  \\\n",
       "0               -73.992663           408.0       Market St & Cherry St   \n",
       "1               -73.976682          3409.0        Bergen St & Smith St   \n",
       "2               -73.989402          3388.0     President St & Henry St   \n",
       "3               -73.991255           473.0  Rivington St & Chrystie St   \n",
       "4               -73.945940          3312.0             1 Ave & E 94 St   \n",
       "\n",
       "   end station latitude  end station longitude  bikeid    usertype  \\\n",
       "0             40.710762             -73.994004   35305  Subscriber   \n",
       "1             40.686744             -73.990632   38822  Subscriber   \n",
       "2             40.682800             -73.999904   18373  Subscriber   \n",
       "3             40.721101             -73.991925   25002  Subscriber   \n",
       "4             40.781721             -73.945940   31198  Subscriber   \n",
       "\n",
       "   birth year  gender  \n",
       "0        1996       2  \n",
       "1        1998       2  \n",
       "2        1988       1  \n",
       "3        1988       1  \n",
       "4        1965       2  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bike_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2. Check the datatypes of your columns. \n",
    "bike_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "type(bike_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "type(bike_df['tripduration'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bike_df.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3. Convert the 'tripduration' column to datetime datatype.\n",
    "bike_df['tripduration'] = pd.to_datetime(bike_df['tripduration'], unit='s')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 4. Check the datatypes of your columns. \n",
    "bike_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 5. Export the Dataframe as a new CSV file without the index.\n",
    "# bike_df.to_csv\n",
    "bike_df.to_csv('bike_data_clean.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bike_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "type(bike_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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