Sensor Time Sequence Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import xarray as xr\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_airpublic = pd.read_csv('airpublic_sensor.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'co_working', u'co_aux', u'no2_working', u'no2_aux', u'gas_temp',\n",
       "       u'sample_flow_rate', u'lonet_bat', u'heading', u'speed', u'altitude',\n",
       "       u'gps_fix', u'date', u'humidity', u'temp', u'sampling_period', u'pm10',\n",
       "       u'pm2_5', u'pm1', u'no2', u'longitude', u'latitude', u'co',\n",
       "       u'timestamp'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_airpublic.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2016-09-14T13:58:15.418Z\n",
       "1    2016-09-14T13:55:42.584Z\n",
       "2    2016-09-14T13:54:23.446Z\n",
       "3    2016-09-14T13:53:06.840Z\n",
       "4    2016-09-14T13:51:55.368Z\n",
       "5    2016-09-14T13:50:43.402Z\n",
       "6    2016-09-14T13:49:30.761Z\n",
       "7    2016-09-14T13:48:17.819Z\n",
       "8    2016-09-14T13:47:05.150Z\n",
       "9    2016-09-14T13:45:53.505Z\n",
       "Name: timestamp, dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_airpublic['timestamp'].head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "**Copying your previous cleaning efforts**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "start = '2016-08-07 00:00:00'\n",
    "end = '2016-09-22 00:00:00'\n",
    "\n",
    "def clean(df):\n",
    "    df['datetime'] = pd.to_datetime(df.timestamp)\n",
    "    df['timestamp'] = pd.to_datetime(df.timestamp)    \n",
    "    \n",
    "    df = df.sort_values(by='datetime')\n",
    "    \n",
    "    sane_gps = (df.latitude > 0) & (df.gps_fix == 1)\n",
    "    # Marylebeone site has code MY1 and these GPS coords\n",
    "    my1_site = (df.longitude > -0.155) & (df.longitude <  -0.154) & (df.latitude > 51.52) &  (df.latitude < 51.53 )\n",
    "    cleaned_df = df[sane_gps & my1_site]\n",
    "    count_clean = len(cleaned_df)\n",
    "    count_all = len(df)\n",
    "    print 'Removed %s rows' % (count_all - count_clean)\n",
    "    print 'Remaining %s rows' % (count_clean)\n",
    "    \n",
    "    # Warning: the computer timezone must be gmt in order to match kings\n",
    "    # assuming only one sensor\n",
    "    cleaned_df = cleaned_df.set_index('datetime')  \n",
    "    \n",
    "    return cleaned_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed 4679 rows\n",
      "Remaining 37247 rows\n"
     ]
    }
   ],
   "source": [
    "airpublic_clean = clean(df_airpublic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "airpub_dtime = airpublic_clean.reset_index()\n",
    "airpub_dtime = airpub_dtime['datetime']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Taking the timestamps and applying .shift()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2016-07-08 18:58:52.413\n",
       "1   2016-07-08 19:00:09.541\n",
       "2   2016-07-08 19:54:59.030\n",
       "3   2016-07-08 19:56:12.047\n",
       "4   2016-07-08 19:57:23.420\n",
       "5   2016-07-08 19:58:35.433\n",
       "6   2016-07-08 19:59:48.979\n",
       "7   2016-07-08 20:02:18.722\n",
       "8   2016-07-08 20:03:25.582\n",
       "9   2016-07-08 20:04:43.165\n",
       "Name: datetime, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airpub_dtime.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "airpub_dtime_shift = airpub_dtime.shift()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                       NaT\n",
       "1   2016-07-08 18:58:52.413\n",
       "2   2016-07-08 19:00:09.541\n",
       "3   2016-07-08 19:54:59.030\n",
       "4   2016-07-08 19:56:12.047\n",
       "5   2016-07-08 19:57:23.420\n",
       "6   2016-07-08 19:58:35.433\n",
       "7   2016-07-08 19:59:48.979\n",
       "8   2016-07-08 20:02:18.722\n",
       "9   2016-07-08 20:03:25.582\n",
       "Name: datetime, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airpub_dtime_shift.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Finding the deltas**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "deltas_time = airpub_dtime - airpub_dtime_shift "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max interval between timestamps: 1 days 02:43:46.415000\n",
      "Min interval between timestamps: 0 days 00:00:01.246000\n",
      "Mean interval between timestamps: 0 days 00:02:37.256161\n",
      "Median interval between timestamps: 0 days 00:01:12.991000\n"
     ]
    }
   ],
   "source": [
    "print 'Max interval between timestamps:', deltas_time.max() \n",
    "print 'Min interval between timestamps:', deltas_time.min()\n",
    "print 'Mean interval between timestamps:',deltas_time.mean()\n",
    "print 'Median interval between timestamps:',deltas_time.median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2016-07-08 18:58:52.413\n",
       "1   2016-07-08 19:00:09.541\n",
       "2   2016-07-08 19:54:59.030\n",
       "3   2016-07-08 19:56:12.047\n",
       "4   2016-07-08 19:57:23.420\n",
       "Name: datetime, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airpub_dtime.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "dtime_deltas = pd.DataFrame(airpub_dtime)\n",
    "dtime_deltas['deltas'] = deltas_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>deltas</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-07-08 18:58:52.413</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-07-08 19:00:09.541</td>\n",
       "      <td>00:01:17.128000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-07-08 19:54:59.030</td>\n",
       "      <td>00:54:49.489000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-07-08 19:56:12.047</td>\n",
       "      <td>00:01:13.017000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-07-08 19:57:23.420</td>\n",
       "      <td>00:01:11.373000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 datetime          deltas\n",
       "0 2016-07-08 18:58:52.413             NaT\n",
       "1 2016-07-08 19:00:09.541 00:01:17.128000\n",
       "2 2016-07-08 19:54:59.030 00:54:49.489000\n",
       "3 2016-07-08 19:56:12.047 00:01:13.017000\n",
       "4 2016-07-08 19:57:23.420 00:01:11.373000"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dtime_deltas.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Graphing the intervals between readings (in hours)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fa6c877af50>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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pPL4AAAuQ3BYO9DAAADgizQqUKwYAGIPiN+FADwMAgCMQ6gAAsKFSdYDH1zvoYQAAcESa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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa6c8824650>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hours = (dtime_deltas['deltas'].astype('timedelta64[s]')/3600)\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "plt.xticks(rotation=70)\n",
    "plt.plot(dtime_deltas['datetime'][1:],(hours[1:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17007   1 days 02:43:46.415000\n",
       "32030   1 days 01:55:47.474000\n",
       "7860    0 days 18:55:32.485000\n",
       "1880    0 days 18:34:47.419000\n",
       "26191   0 days 17:20:27.079000\n",
       "23098   0 days 16:31:09.693000\n",
       "7591    0 days 10:05:18.276000\n",
       "31723   0 days 10:04:19.492000\n",
       "13116   0 days 10:04:17.233000\n",
       "13734   0 days 10:03:28.154000\n",
       "6193    0 days 10:01:18.081000\n",
       "6447    0 days 09:53:49.121000\n",
       "23429   0 days 09:53:26.786000\n",
       "16372   0 days 09:49:48.915000\n",
       "22820   0 days 09:49:44.438000\n",
       "21602   0 days 09:38:18.778000\n",
       "22506   0 days 09:30:15.689000\n",
       "18981   0 days 09:29:26.062000\n",
       "4621    0 days 09:28:45.526000\n",
       "1100    0 days 09:20:57.470000\n",
       "16685   0 days 09:19:44.789000\n",
       "11575   0 days 09:11:11.848000\n",
       "29295   0 days 09:09:09.755000\n",
       "2195    0 days 09:07:43.430000\n",
       "10636   0 days 09:06:34.901000\n",
       "34442   0 days 09:03:38.220000\n",
       "8810    0 days 08:58:57.740000\n",
       "1289    0 days 08:55:57.677000\n",
       "19788   0 days 08:55:36.058000\n",
       "32042   0 days 08:54:38.150000\n",
       "                 ...          \n",
       "25896   0 days 00:01:02.348000\n",
       "1969    0 days 00:01:02.268000\n",
       "3829    0 days 00:01:02.228000\n",
       "22813   0 days 00:01:02.206000\n",
       "13687   0 days 00:01:02.141000\n",
       "9670    0 days 00:01:02.021000\n",
       "27370   0 days 00:01:01.976000\n",
       "13809   0 days 00:01:01.951000\n",
       "19770   0 days 00:01:01.872000\n",
       "5532    0 days 00:01:01.860000\n",
       "5097    0 days 00:01:01.787000\n",
       "19945   0 days 00:01:01.752000\n",
       "30541   0 days 00:01:01.681000\n",
       "27835   0 days 00:01:01.397000\n",
       "12515   0 days 00:01:01.214000\n",
       "9256    0 days 00:01:01.015000\n",
       "1469    0 days 00:01:00.717000\n",
       "4067    0 days 00:01:00.348000\n",
       "35260   0 days 00:01:00.278000\n",
       "3942    0 days 00:00:59.957000\n",
       "23750   0 days 00:00:59.811000\n",
       "7775    0 days 00:00:59.086000\n",
       "3513    0 days 00:00:58.701000\n",
       "2600    0 days 00:00:58.459000\n",
       "34382   0 days 00:00:58.243000\n",
       "27046   0 days 00:00:57.283000\n",
       "24036   0 days 00:00:56.925000\n",
       "17457   0 days 00:00:50.307000\n",
       "25655   0 days 00:00:01.246000\n",
       "0                          NaT\n",
       "Name: datetime, dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "deltas_time.sort_values(ascending = False) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Graphing all intervals less than one hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "37162\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(0.1, 1)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wieeBYpTQhjk+bcWG1BIR8BuvjDmiceVDaDgOaEuGNKcgCLoY0heyEywY4/CkhX/y4a/j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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa6c86f2150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print len(hours[hours < 1])\n",
    "fig = plt.figure(figsize=(12,8))\n",
    "ax=fig.add_subplot(111)\n",
    "plt.xticks(rotation=70)\n",
    "plt.plot(dtime_deltas['datetime'][1:][hours < 1],(hours[1:][hours < 1]))\n",
    "plt.ylim(ymin=0.1, ymax=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# look more intra day\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_24h(ds, example_date = '2016-08-26'):\n",
    "    ds.sel(datetime=example_date).to_dataframe().plot()  \n",
    "    print ds_merged_one.to_dataframe().describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ds_deltas = xr.Dataset.from_dataframe(dtime_deltas.set_index(\"datetime\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (datetime: 37247)\n",
       "Coordinates:\n",
       "  * datetime  (datetime) datetime64[ns] 2016-07-08T18:58:52.413000 ...\n",
       "Data variables:\n",
       "    deltas    (datetime) timedelta64[ns] NaT 00:01:17.128000 00:54:49.489000 ..."
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_deltas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_small(ds, day=\"2016-08-26\"):    \n",
    "#     fig = plt.figure(figsize=(12,8))\n",
    "#     ax=fig.add_subplot(111)\n",
    "#     plt.xticks(rotation=70)\n",
    "#     ds.to_dataframe().plot()\n",
    "#     #plt.ylim(ymin=0.1, ymax=1)\n",
    "    df_small = ds_deltas.sel(datetime=day).to_dataframe()    \n",
    "    print len(df_small)\n",
    "    df_small['mins'] = (df_small['deltas'].astype('timedelta64[s]')/60)\n",
    "    df_small['mins'].plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 'datetime' (datetime: 37247)>\n",
       "array(['2016-07-08T18:58:52.413000000', '2016-07-08T19:00:09.541000000',\n",
       "       '2016-07-08T19:54:59.030000000', ...,\n",
       "       '2016-09-14T13:54:23.446000000', '2016-09-14T13:55:42.584000000',\n",
       "       '2016-09-14T13:58:15.418000000'], dtype='datetime64[ns]')\n",
       "Coordinates:\n",
       "  * datetime  (datetime) datetime64[ns] 2016-07-08T18:58:52.413000 ..."
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_deltas.datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bl8c8odX4zfGW3ODgUGtJOxm7DDa+FyhUSr0eMzxyGfCU662Gt8DwcB/RaKTRbh3DyMhg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\nAPL/AwcwAA666ecZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa6bfdbc0d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_small(ds_deltas, \"2016-08-26\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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nE4lkypXNwDayGVUmV2ve2QyMhfF5PXmPTvJ5vbKr4AUuZVnpiTwovo1svblw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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa6bfa19bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_small(ds_deltas, \"2016-08-27\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "44\n"
     ]
    },
    {
     "data": {
      "image/png": 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TqjrdkZN1QHvG921Afk+wGGNMFuXFnNA8zFpKlVlmON2usGER9vjA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\nScgYY4xvLAkZY4zxjSUhY4wxvvl/0FYlR6NlqZYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa6bf8563d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_small(ds_deltas, \"2016-08-28 20\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ISCTC/vk0GyaGmh+3Vv183zP93+cl7p8YHVi2Ml8qOTwxvcgRm8fK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\n6AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa6bf895e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_small(ds_deltas, \"2016-08-29\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Autocorrelation across all deltas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "No module named statsmodels.api",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-19-678fa777bd4b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mstatsmodels\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapi\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0msm\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mscipy\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mstats\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mstatsmodels\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgraphics\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapi\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mqqplot\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mImportError\u001b[0m: No module named statsmodels.api"
     ]
    }
   ],
   "source": [
    "import statsmodels.api as sm\n",
    "from scipy import stats\n",
    "from statsmodels.graphics.api import qqplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "interval_deltas = (dtime_deltas.ix[1:,1].astype('timedelta64[s]')/60)\n",
    "interval_deltas.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.8206549850366802"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sm.stats.durbin_watson(interval_deltas)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Durbin Watson close to 2 - indicating no first-order serial correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Muyccvd8250xDMXrlhUfuu805041yR7VI23Oyvu35nEijY6DP+J31mutv3gTw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\n0f8Hmt3RWx/tWfsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xdb77bd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "ax1 = fig.add_subplot(211)\n",
    "fig = sm.graphics.tsa.plot_acf(interval_deltas.values.squeeze(),lags = 1000,ax = ax1)\n",
    "ax2 = fig.add_subplot(212)\n",
    "fig = sm.graphics.tsa.plot_pacf(interval_deltas,lags=40,ax=ax2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Autocorrelation across deltas < 1 hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.8206442990032998"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hours = hours[1:]\n",
    "sm.stats.durbin_watson(hours)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Muyccvd8250xDMXrlhUfuu805041yR7VI23Oyvu35nEijY6DP+J31mutv3gTw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\n0f8Hmt3RWx/tWfsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106e2910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,8))\n",
    "ax1 = fig.add_subplot(211)\n",
    "fig = sm.graphics.tsa.plot_acf(hours.values.squeeze(),lags = 1000,ax = ax1)\n",
    "ax2 = fig.add_subplot(212)\n",
    "fig = sm.graphics.tsa.plot_pacf(hours,lags=40,ax=ax2)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}