notebooks/aggregate-data.ipynb

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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from bikeshares.programs.nyc import CitiBike\n",
      "from bikeshares.programs.chicago import Divvy\n",
      "from bikeshares.programs.boston import Hubway\n",
      "from bikeshares.program import TripSubset\n",
      "import sys\n",
      "import pandas as pd\n",
      "import matplotlib as mpl\n",
      "import mplstyle"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# NOTE: Restricting data to time common to all three programs\n",
      "DATE_RANGE = (\"2013-07-01\", \"2013-11-30\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def get_gendered_trips(program, date_range=DATE_RANGE):\n",
      "    trips = program.trips.between_times(*date_range)\n",
      "    gender_constraint = trips[\"rider_gender\"].notnull()\n",
      "    gendered_subset = TripSubset(trips[gender_constraint])\n",
      "    return gendered_subset"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def load_gendered(klass, trips_path):\n",
      "    program = klass().load_trips(trips_path)\n",
      "    trips = get_gendered_trips(program)\n",
      "    return trips"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def get_female_pct(subset):\n",
      "    return (subset[\"rider_gender\"] == \"F\").mean() * 100"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "citibike = load_gendered(CitiBike, \"../raw-data/nyc-merged.csv\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "divvy = load_gendered(Divvy, \"../raw-data/Divvy_Stations_Trips_2013/Divvy_Trips_2013.csv\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "hubway = load_gendered(Hubway, \"../raw-data/hubway-updated-26-feb-2014/hubwaydata_10_12_to_11_13.csv\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "programs = pd.DataFrame([\n",
      "    dict(name=\"Citi Bike\", subset=citibike),\n",
      "    dict(name=\"Divvy\", subset=divvy),\n",
      "    dict(name=\"Hubway\", subset=hubway)\n",
      "]).set_index(\"name\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Female Ridership by Program"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "programs[\"subset\"].apply(get_female_pct).order()\\\n",
      "    .apply(lambda x: \"{0}%\".format(round(x, 1)))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "name\n",
        "Divvy        21.4%\n",
        "Citi Bike    24.0%\n",
        "Hubway       25.0%\n",
        "Name: subset, dtype: object"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Female Ridership by Day-of-Week"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from mplstyle.styles import simple"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mplstyle.set(simple)\n",
      "mplstyle.set({\n",
      "    \"figure.figsize\": (14, 8),\n",
      "    \"lines.linewidth\": 0\n",
      "})\n",
      "BUZZRED = \"#ee3322\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekdays = [ \"Mon.\", \"Tues.\", \"Weds.\", \"Thurs.\", \"Fri.\", \"Sat.\", \"Sun.\" ]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def gender_by_dow(subset):\n",
      "    dow = subset[\"start_time\"].apply(lambda x: x.dayofweek)\n",
      "    grouped = subset.groupby(dow)\n",
      "    by_dow = grouped.apply(get_female_pct)\n",
      "    df = pd.DataFrame({\n",
      "        \"Female Ridership\": by_dow,\n",
      "        \"Day\": weekdays\n",
      "    })\n",
      "    return df.set_index(\"Day\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def weekday_vs_weekend(subset):\n",
      "    dow = subset[\"start_time\"].apply(lambda x: x.dayofweek)\n",
      "    is_weekday = dow < 5\n",
      "    fpct = subset.groupby(is_weekday).apply(get_female_pct)\n",
      "    return pd.Series({\n",
      "        \"Weekday\": fpct[True],\n",
      "        \"Weekend\": fpct[False],\n",
      "        \"diff\": fpct[False] - fpct[True]\n",
      "    })"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def plot_gender_by_dow(df, program_name):\n",
      "    ax = df.plot(kind=\"bar\", color=BUZZRED, legend=None)\n",
      "    ax.set_xlabel(\"\")\n",
      "    ax.set_title(\"Female Ridership on {0} by Day of Week\\n\".format(program_name),\n",
      "        fontsize=\"30\",\n",
      "        fontweight=\"bold\")\n",
      "    ax.set_ylabel(\"Trips Taken by Female Riders,\\nas a Percentage of All Trips\\n\",\n",
      "        fontsize=\"18\")\n",
      "    ax.xaxis.grid(False)\n",
      "    ax.set_ylim(0, 30)\n",
      "    ax.set_yticklabels([ \"{0:.0f}%\".format(y)\n",
      "        for y in ax.get_yticks() ], fontsize=\"x-large\")\n",
      "    ax.set_xticklabels(weekdays, rotation=0,\n",
      "        fontsize=\"18\", fontweight=\"bold\")\n",
      "    return ax"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Citi Bike"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ax = plot_gender_by_dow(gender_by_dow(citibike), \"Citi Bike\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Z4e7du+oDpiE/bd9L1LRdu3ZJhg0aNAhz5syBn5+fxsW2Ke+6uLu7y17I//zz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mpKdQisXLkSj8dzU8ZxLtXznASCYtFdb2WyWq28++67lJWVcerUKTXT6KpVq0hLS+OBBx7QrTlz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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1056acd10>"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekday_vs_weekend(citibike)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "Weekday    22.825038\n",
        "Weekend    27.908529\n",
        "diff        5.083491\n",
        "dtype: float64"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Divvy"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ax = plot_gender_by_dow(gender_by_dow(divvy), \"Divvy\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
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3bl0NtVeKi4tTTBs8eDDmzp2LgIAAnYttfU0hysPb21t6Ib99+3aTtuNrr71m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JAAAQ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\nAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1082c09d0>"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekday_vs_weekend(divvy)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "Weekday    20.087651\n",
        "Weekend    27.536099\n",
        "diff        7.448447\n",
        "dtype: float64"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Hubway"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ax = plot_gender_by_dow(gender_by_dow(hubway), \"Hubway\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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My8vLw5w5c2qVv9w7Xvref1LzbtT9eny2aNECsbGx+Prrr5GSkoLCwkKkpaVh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\ndB6gynO/nQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x130ddd290>"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekday_vs_weekend(hubway)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "Weekday    24.544104\n",
        "Weekend    27.025979\n",
        "diff        2.481875\n",
        "dtype: float64"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 23
    }
   ],
   "metadata": {}
  }
 ]
}