Coursera_6_7.ipynb

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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Финальное задание"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# !!! Для обновления основных графиков запустите код в блоках 1, 8, 9 !!!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1 Импорт основных библиотек и объявление функций"
   ]
  },
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   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
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      "Wall time: 2.99 ms\n"
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   "source": [
    "%%time\n",
    "%pylab inline\n",
    "%matplotlib inline\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import gc\n",
    "import sys\n",
    "\n",
    "from scipy import stats\n",
    "import statsmodels.api as sm\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from itertools import product\n",
    "from sklearn.linear_model import *\n",
    "from sklearn.ensemble import *\n",
    "from sklearn.cluster import *\n",
    "from sklearn.metrics import *\n",
    "from scipy.stats import *\n",
    "import folium\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import *\n",
    "\n",
    "import plotly\n",
    "from plotly.offline import *\n",
    "import plotly.plotly as py\n",
    "from plotly.graph_objs import *\n",
    "init_notebook_mode(connected=True)\n",
    "\n",
    "from IPython.html.widgets import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#функция для очистки данных\n",
    "def data_prep(df):\n",
    "\n",
    "    df = df[df['tpep_dropoff_datetime']!=df['tpep_pickup_datetime']]\n",
    "    df = df[(df['passenger_count']!=0) & (df['trip_distance']!=0)]\n",
    "    df = df[(df['pickup_longitude']>=reg['west'].min())]\n",
    "    df = df[(df['pickup_longitude']<=reg['east'].max())]\n",
    "    df = df[(df['pickup_latitude']>=reg['south'].min())]\n",
    "    df = df[(df['pickup_latitude']<=reg['north'].max())]\n",
    "    df['tpep_pickup_datetime'] = pd.to_datetime(df['tpep_pickup_datetime'])\n",
    "    df['tpep_dropoff_datetime'] = pd.to_datetime(df['tpep_dropoff_datetime'])\n",
    "    df['tpep_pickup_datetime'] = df['tpep_pickup_datetime'].apply(lambda x: x.replace(second=0))\n",
    "    df['tpep_pickup_datetime'] = df['tpep_pickup_datetime'].apply(lambda x: x.replace(minute=0))\n",
    "    df['tpep_dropoff_datetime'] = df['tpep_dropoff_datetime'].apply(lambda x: x.replace(second=0))\n",
    "    df['tpep_dropoff_datetime'] = df['tpep_dropoff_datetime'].apply(lambda x: x.replace(minute=0))\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#функция для расчета количества поездок в квартале\n",
    "def data_proc(df, hours, reg):\n",
    "\n",
    "    for i in range(hours):\n",
    "        \n",
    "        day_id = df['tpep_pickup_datetime'].values[0] + np.timedelta64(i, 'h')\n",
    "        df_temp = df[df['tpep_pickup_datetime']==day_id]\n",
    "            \n",
    "        bsd = \\\n",
    "        binned_statistic_2d(\n",
    "            x=df_temp['pickup_longitude'],\n",
    "            y=df_temp['pickup_latitude'],\n",
    "            values=None,\n",
    "            statistic='count',\n",
    "            bins=50,\n",
    "            range=[[reg['west'].min(), reg['east'].max()], [reg['south'].min(), reg['north'].max()]],\n",
    "            expand_binnumbers=False\n",
    "        )\n",
    "        \n",
    "        if i%24<10:\n",
    "            time = '0' + str(i%24) + ':00:00'\n",
    "        else:\n",
    "            time = str(i%24) + ':00:00'\n",
    "            \n",
    "        reg[str(day_id)[:10] + ' ' + time] = bsd.statistic.reshape(2500)\n",
    "\n",
    "        h = i+1\n",
    "\n",
    "        if (h%24==0 and i!=0):\n",
    "            print(\n",
    "                'day',\n",
    "                int(h/24)\n",
    "            )\n",
    "                \n",
    "    return reg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#функция с генерацией признаков для построения регрессионной модели\n",
    "\n",
    "def df_feat(df, r):\n",
    "\n",
    "    df['region'] = r\n",
    "    df.rename(columns={r: 'cnt'}, inplace=True)\n",
    "    df['hour'] = df['datetime'].dt.hour\n",
    "    df['day'] = df['datetime'].dt.day\n",
    "    df['dayofweek'] = df['datetime'].dt.dayofweek\n",
    "    df['weekend'] = (df['datetime'].dt.weekday>=5).astype(int)\n",
    "    df['cnt_rolling_mean_12'] = df['cnt'].rolling(window=12).mean()\n",
    "    df['cnt_rolling_mean_24'] = df['cnt'].rolling(window=24).mean()\n",
    "    df['cnt_rolling_mean_48'] = df['cnt'].rolling(window=48).mean()\n",
    "\n",
    "    df['hour_mean'] = df.groupby(by=['hour'])['cnt'].transform('mean')\n",
    "    df['day_mean'] = df.groupby(by=['day'])['cnt'].transform('mean')\n",
    "    df['dayofweek_mean'] = df.groupby(by=['dayofweek'])['cnt'].transform('mean')\n",
    "    df['weekend_mean'] = df.groupby(by=['weekend'])['cnt'].transform('mean')\n",
    "\n",
    "    df['sin_value_6'] = np.sin(2*np.pi * df['datetime'].dt.hour/6)\n",
    "    df['cos_value_6'] = np.cos(2*np.pi * df['datetime'].dt.hour/6)\n",
    "\n",
    "    df['sin_value_12'] = np.sin(2*np.pi * df['datetime'].dt.hour/12)\n",
    "    df['cos_value_12'] = np.cos(2*np.pi * df['datetime'].dt.hour/12)\n",
    "\n",
    "    df['sin_value_16'] = np.sin(2*np.pi * df['datetime'].dt.hour/16)\n",
    "    df['cos_value_16'] = np.cos(2*np.pi * df['datetime'].dt.hour/16)\n",
    "\n",
    "    df['sin_value_24'] = np.sin(2*np.pi * df['datetime'].dt.hour/24)\n",
    "    df['cos_value_24'] = np.cos(2*np.pi * df['datetime'].dt.hour/24)\n",
    "\n",
    "    df['sin_value_48'] = np.sin(2*np.pi * df['datetime'].dt.hour/48)\n",
    "    df['cos_value_48'] = np.cos(2*np.pi * df['datetime'].dt.hour/48)\n",
    "\n",
    "    df['sin_value_96'] = np.sin(2*np.pi * df['datetime'].dt.hour/96)\n",
    "    df['cos_value_96'] = np.cos(2*np.pi * df['datetime'].dt.hour/96)\n",
    "\n",
    "    df['sin_value_168'] = np.sin(2*np.pi * df['datetime'].dt.hour/168)\n",
    "    df['cos_value_168'] = np.cos(2*np.pi * df['datetime'].dt.hour/168)\n",
    "\n",
    "    df.fillna(0, inplace=True)\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2 Загружаем и подготавливаем данные данные поездок"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 3min 38s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "#загружаем данные с ноября 2015 по июнь 2016\n",
    "\n",
    "df_201511 = pd.read_csv(r'D:\\Python\\Coursera\\6\\4\\yellow_tripdata_2015-11.csv')\n",
    "df_201511.sort_values(by=['tpep_pickup_datetime'], inplace=True)\n",
    "df_201511.reset_index(drop=True)\n",
    "\n",
    "df_201512 = pd.read_csv(r'D:\\Python\\Coursera\\6\\4\\yellow_tripdata_2015-12.csv')\n",
    "df_201512.sort_values(by=['tpep_pickup_datetime'], inplace=True)\n",
    "df_201512.reset_index(drop=True)\n",
    "\n",
    "df_201601 = pd.read_csv(r'D:\\Python\\Coursera\\6\\4\\yellow_tripdata_2016-01.csv')\n",
    "df_201601.sort_values(by=['tpep_pickup_datetime'], inplace=True)\n",
    "df_201601.reset_index(drop=True)\n",
    "\n",
    "df_201602 = pd.read_csv(r'D:\\Python\\Coursera\\6\\4\\yellow_tripdata_2016-02.csv')\n",
    "df_201602.sort_values(by=['tpep_pickup_datetime'], inplace=True)\n",
    "df_201602.reset_index(drop=True)\n",
    "\n",
    "df_201603 = pd.read_csv(r'D:\\Python\\Coursera\\6\\4\\yellow_tripdata_2016-03.csv')\n",
    "df_201603.sort_values(by=['tpep_pickup_datetime'], inplace=True)\n",
    "df_201603.reset_index(drop=True)\n",
    "\n",
    "df_201604 = pd.read_csv(r'D:\\Python\\Coursera\\6\\4\\yellow_tripdata_2016-04.csv')\n",
    "df_201604.sort_values(by=['tpep_pickup_datetime'], inplace=True)\n",
    "df_201604.reset_index(drop=True)\n",
    "\n",
    "df_201605 = pd.read_csv(r'D:\\Python\\Coursera\\6\\1\\yellow_tripdata_2016-05.csv')\n",
    "df_201605.sort_values(by=['tpep_pickup_datetime'], inplace=True)\n",
    "df_201605.reset_index(drop=True)\n",
    "\n",
    "reg = pd.read_csv(r'D:\\Python\\Coursera\\6\\1\\regions.csv', sep=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 18min 59s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "#чистим и готовим данные за каждый месяц отдельно\n",
    "\n",
    "df_201511 = data_prep(df_201511)\n",
    "df_201512 = data_prep(df_201512)\n",
    "df_201601 = data_prep(df_201601)\n",
    "df_201602 = data_prep(df_201602)\n",
    "df_201603 = data_prep(df_201603)\n",
    "df_201604 = data_prep(df_201604)\n",
    "df_201605 = data_prep(df_201605)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3 Отрисуем кварталы Нью-Йорка, где было в мае более 5 поездок"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 5.41 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "reg = pd.read_csv(r'D:\\Python\\Coursera\\6\\1\\regions.csv', sep=';')\n",
    "\n",
    "bsd = \\\n",
    "binned_statistic_2d(\n",
    "    x=df_201605['pickup_longitude'],\n",
    "    y=df_201605['pickup_latitude'],\n",
    "    values=None,\n",
    "    statistic='count',\n",
    "    bins=50,\n",
    "    range=[[reg['west'].min(), reg['east'].max()], [reg['south'].min(), reg['north'].max()]],\n",
    "    expand_binnumbers=False\n",
    ")\n",
    "\n",
    "reg['count'] = bsd.statistic.reshape(2500)\n",
    "\n",
    "reg['avg'] = reg['count']/(31*24)\n",
    "reg_filtered = reg[reg['avg']>=5]"
   ]
  },
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   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1df80031cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "blocks = gpd.GeoSeries(\n",
    "    reg_filtered.apply(lambda x: Polygon(zip([x['west'], x['east'], x['east'], x['west']], [x['north'], x['north'], x['south'], x['south']])), axis=1),\n",
    "    crs={'init': 'epsg:4326'}\n",
    ")\n",
    "reg_geo = gpd.GeoDataFrame(\n",
    "    reg_filtered.drop(labels=['west', 'east', 'south', 'north'], axis=1),\n",
    "    geometry=blocks\n",
    ")\n",
    "\n",
    "ESB = [40.748817, -73.985428]\n",
    "m = folium.Map(\n",
    "    location=ESB,\n",
    "    zoom_start=11\n",
    ")\n",
    "\n",
    "m.choropleth(\n",
    "    geo_data=reg_geo.to_json(),\n",
    "    data=reg_geo,\n",
    "    columns=['region', 'avg'],\n",
    "    key_on='feature.properties.{}'.format('region'),\n",
    "    fill_color='YlOrRd',\n",
    "    fill_opacity=.6,\n",
    "    line_opacity=.2\n",
    ")\n",
    "folium.LayerControl().add_to(m)\n",
    "\n",
    "display(m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4 Сохраняем список кварталов города, которые отрисовали выше"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "regions = reg_filtered['region'].to_list()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5 Собираем общий датасет с ноября 2015 по май 2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "day 1\n",
      "day 2\n",
      "day 3\n",
      "day 4\n",
      "day 5\n",
      "day 6\n",
      "day 7\n",
      "day 8\n",
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      "day 29\n",
      "day 30\n",
      "day 31\n",
      "day 1\n",
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      "day 29\n",
      "day 30\n",
      "day 31\n",
      "Wall time: 2min 48s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "reg = pd.read_csv(r'D:\\Python\\Coursera\\6\\1\\regions.csv', sep=';')\n",
    "\n",
    "reg = data_proc(df_201511, 30*24, reg)\n",
    "reg = data_proc(df_201512, 31*24, reg)\n",
    "reg = data_proc(df_201601, 31*24, reg)\n",
    "reg = data_proc(df_201602, 28*24, reg)\n",
    "reg = data_proc(df_201603, 31*24, reg)\n",
    "reg = data_proc(df_201604, 30*24, reg)\n",
    "reg = data_proc(df_201605, 31*24, reg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "reg = reg[reg['region'].isin(regions)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = reg.drop(labels=['region', 'west', 'east', 'south', 'north'], axis=1).T\n",
    "df.set_index(pd.to_datetime(df.index), inplace=True)\n",
    "df.reset_index(inplace=True)\n",
    "df.rename(columns={'index': 'datetime'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Wall time: 1min 49s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "data = pd.DataFrame()\n",
    "\n",
    "for b in df.columns[1:]:\n",
    "    \n",
    "    data = pd.concat([data, df_feat(df[['datetime', b]], b)], axis=0)\n",
    "    print(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['region'] = data['region']+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_full = pd.concat([df_201511, df_201512, df_201601, df_201602, df_201603, df_201604, df_201605])\n",
    "del df_201511\n",
    "del df_201512\n",
    "del df_201601\n",
    "del df_201602\n",
    "del df_201603\n",
    "del df_201604\n",
    "del df_201605\n",
    "gc.collect()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "Wall time: 1min 27s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "data_full = pd.DataFrame()\n",
    "\n",
    "for r in reg['region']:\n",
    "    \n",
    "    print(r)\n",
    "    \n",
    "    west = reg[reg['region']==r]['west'].values[0]\n",
    "    east = reg[reg['region']==r]['east'].values[0]\n",
    "    south = reg[reg['region']==r]['south'].values[0]\n",
    "    north = reg[reg['region']==r]['north'].values[0]\n",
    "    \n",
    "    df_temp = df_full[(df_full['pickup_longitude']>=west) & (df_full['pickup_longitude']<=east) & (df_full['pickup_latitude']>=south) & (df_full['pickup_latitude']<=north)]\\\n",
    "                .groupby(by=['tpep_pickup_datetime'])[['passenger_count',\n",
    "                                                      'trip_distance',\n",
    "                                                      'fare_amount',\n",
    "                                                      'extra',\n",
    "                                                      'mta_tax',\n",
    "                                                      'tip_amount',\n",
    "                                                      'tolls_amount',\n",
    "                                                      'improvement_surcharge',\n",
    "                                                      'total_amount']].mean().reset_index()\n",
    "    \n",
    "    df_temp['region'] = r\n",
    "    \n",
    "    data_full = pd.concat([data_full, df_temp])\n",
    "    \n",
    "data_full.rename(columns={'tpep_pickup_datetime': 'datetime'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.merge(data_full, how='left', on=['datetime', 'region'])\n",
    "data.fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6 Разбиваем данные на обучение и тест"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = data[data['datetime']<'2016-04-30 23:00:00']\n",
    "X_test = data[(data['datetime']>='2016-04-30 23:00:00') & (data['datetime']<='2016-05-31 17:00:00')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7 обучаем сверхслучайный лес и делаем прогноз на май 2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "HOUR: 1 ERROR: 24.482810735020678\n",
      "HOUR: 2 ERROR: 26.461552546837748\n",
      "HOUR: 3 ERROR: 27.614402901329868\n",
      "HOUR: 4 ERROR: 28.453370187642793\n",
      "HOUR: 5 ERROR: 28.430967757623222\n",
      "HOUR: 6 ERROR: 28.74795736028806\n",
      "Wall time: 1min 40s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "features = X_train.columns[2:].to_list()\n",
    "\n",
    "for h in range(1, 7):\n",
    "\n",
    "    model = ExtraTreesRegressor(\n",
    "        n_estimators=100,\n",
    "        criterion='mse',\n",
    "        max_depth=10,\n",
    "        min_samples_split=2,\n",
    "        min_samples_leaf=1,\n",
    "        min_weight_fraction_leaf=0.0,\n",
    "        max_features='auto',\n",
    "        max_leaf_nodes=None,\n",
    "        min_impurity_decrease=0.0,\n",
    "        min_impurity_split=None,\n",
    "        bootstrap=True,\n",
    "        oob_score=False,\n",
    "        n_jobs=-1,\n",
    "        random_state=1,\n",
    "        verbose=0,\n",
    "        warm_start=False\n",
    "    )\n",
    "\n",
    "    model.fit(\n",
    "        X=X_train[features].iloc[:X_train.shape[0]-h],\n",
    "        y=X_train['cnt'].shift(-h).dropna()\n",
    "    )\n",
    "\n",
    "    y_pred = model.predict(\n",
    "        X=X_test[features]\n",
    "    )\n",
    "\n",
    "    date_from = pd.to_datetime('2016-04-30 23:00:00') + pd.Timedelta(hours=h)\n",
    "    date_to = pd.to_datetime('2016-05-31 17:00:00') + pd.Timedelta(hours=h)\n",
    "    \n",
    "    err = mean_absolute_error(\n",
    "        y_true=data[(data['datetime']>=date_from) & (data['datetime']<=date_to)]['cnt'],\n",
    "        y_pred=y_pred\n",
    "    )\n",
    "    \n",
    "    print(\n",
    "        'HOUR:',\n",
    "        h,\n",
    "        'ERROR:',\n",
    "        err\n",
    "    )\n",
    "    \n",
    "    X_test['y_pred' + str(h)] = y_pred"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8 карта с прогнозными значениями поездок за май 2016"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. карты с визуализацией реального и прогнозируемого спроса на такси в выбираемый пользователем момент времени"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test = pd.read_csv('X_test.csv')\n",
    "reg_filtered = pd.read_csv('reg_filtered.csv')\n",
    "X_test['datetime'] = pd.to_datetime(X_test['datetime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1b658faf57924532907bb684dcd99f83",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=0, description='x', max=738), Checkbox(value=False, description='predict…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x, predict_data=False)>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def f(x, predict_data=False):\n",
    "    \n",
    "    if predict_data:\n",
    "        column = 'y_pred1'\n",
    "    else:\n",
    "        column = 'cnt'\n",
    "    \n",
    "    print('Для отбражения прогнозируемых значений активируйте checkbox выше')\n",
    "    d = pd.to_datetime('2016-04-30 23:00:00') + pd.Timedelta(hours=x)\n",
    "    print('Отображены данные за дату', d)\n",
    "    \n",
    "    reg_pred = reg_filtered.drop(labels=['count', 'avg'], axis=1)\n",
    "    reg_pred_ = X_test[X_test['datetime']==d].groupby(by=['region'])[['cnt', 'y_pred1', 'y_pred2', 'y_pred3', 'y_pred4', 'y_pred5', 'y_pred6']].sum().reset_index()\n",
    "    reg_pred = pd.merge(reg_pred, reg_pred_, on=['region'], how='inner')\n",
    "\n",
    "    blocks = gpd.GeoSeries(\n",
    "        reg_pred.apply(lambda x: Polygon(zip([x['west'], x['east'], x['east'], x['west']], [x['north'], x['north'], x['south'], x['south']])), axis=1),\n",
    "        crs={'init': 'epsg:4326'}\n",
    "    )\n",
    "\n",
    "    reg_geo = gpd.GeoDataFrame(\n",
    "        reg_pred.drop(labels=['west', 'east', 'south', 'north'], axis=1),\n",
    "        geometry=blocks\n",
    "    )\n",
    "\n",
    "    ESB = [40.748817, -73.985428]\n",
    "    m = folium.Map(\n",
    "        location=ESB,\n",
    "        zoom_start=11\n",
    "    )\n",
    "\n",
    "    m.choropleth(\n",
    "        geo_data=reg_geo.to_json(),\n",
    "        data=reg_geo,\n",
    "        columns=['region', column],\n",
    "        key_on='feature.properties.{}'.format('region'),\n",
    "        fill_color='YlOrRd',\n",
    "        fill_opacity=.6,\n",
    "        line_opacity=.2\n",
    "    )\n",
    "    folium.LayerControl().add_to(m)\n",
    "\n",
    "    display(m)\n",
    "    \n",
    "interact(\n",
    "    f,\n",
    "    x=widgets.IntSlider(min=0, max=738, step=1, value=0)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 9 интерактивый график факт/прогноз за май 2016"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. временной ряд фактического и прогнозируемого спроса на такси в выбираемой области."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('data.csv')\n",
    "data['datetime'] = pd.to_datetime(data['datetime'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "01e6b5dc75eb475d8c422a9e707442e1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='region:', options=(1075, 1076, 1077, 1125, 1126, 1127, 1128, 1129,…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.f(x)>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def f(x):\n",
    "\n",
    "    #1\n",
    "    date_from = pd.to_datetime('2016-04-30 23:00:00') + pd.Timedelta(hours=1)\n",
    "    date_to = pd.to_datetime('2016-05-31 17:00:00') + pd.Timedelta(hours=1)\n",
    "\n",
    "    trace1_true = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['cnt'],\n",
    "        mode='markers',\n",
    "        name='Факт на 1 час вперед'\n",
    "    )\n",
    "\n",
    "    trace1_pred = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = X_test[X_test['region']==x]['y_pred1'],\n",
    "        mode='markers',\n",
    "        name='Прогноз на 1 час вперед'\n",
    "    )\n",
    "\n",
    "    #2\n",
    "    date_from = pd.to_datetime('2016-04-30 23:00:00') + pd.Timedelta(hours=2)\n",
    "    date_to = pd.to_datetime('2016-05-31 17:00:00') + pd.Timedelta(hours=2)\n",
    "\n",
    "    trace2_true = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['cnt'],\n",
    "        mode='markers',\n",
    "        name='Факт на 2 часа вперед'\n",
    "    )\n",
    "\n",
    "    trace2_pred = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = X_test[X_test['region']==x]['y_pred2'],\n",
    "        mode='markers',\n",
    "        name='Прогноз на 2 часа вперед'\n",
    "    )\n",
    "\n",
    "    #3\n",
    "    date_from = pd.to_datetime('2016-04-30 23:00:00') + pd.Timedelta(hours=3)\n",
    "    date_to = pd.to_datetime('2016-05-31 17:00:00') + pd.Timedelta(hours=3)\n",
    "\n",
    "    trace3_true = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['cnt'],\n",
    "        mode='markers',\n",
    "        name='Факт на 3 часа вперед'\n",
    "    )\n",
    "\n",
    "    trace3_pred = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = X_test[X_test['region']==x]['y_pred3'],\n",
    "        mode='markers',\n",
    "        name='Прогноз на 3 часа вперед'\n",
    "    )\n",
    "\n",
    "    #4\n",
    "    date_from = pd.to_datetime('2016-04-30 23:00:00') + pd.Timedelta(hours=4)\n",
    "    date_to = pd.to_datetime('2016-05-31 17:00:00') + pd.Timedelta(hours=4)\n",
    "\n",
    "    trace4_true = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['cnt'],\n",
    "        mode='markers',\n",
    "        name='Факт на 4 часа вперед'\n",
    "    )\n",
    "\n",
    "    trace4_pred = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = X_test[X_test['region']==x]['y_pred4'],\n",
    "        mode='markers',\n",
    "        name='Прогноз на 4 часа вперед'\n",
    "    )\n",
    "\n",
    "    #5\n",
    "    date_from = pd.to_datetime('2016-04-30 23:00:00') + pd.Timedelta(hours=5)\n",
    "    date_to = pd.to_datetime('2016-05-31 17:00:00') + pd.Timedelta(hours=5)\n",
    "\n",
    "    trace5_true = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['cnt'],\n",
    "        mode='markers',\n",
    "        name='Факт на 5 часов вперед'\n",
    "    )\n",
    "\n",
    "    trace5_pred = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = X_test[X_test['region']==x]['y_pred5'],\n",
    "        mode='markers',\n",
    "        name='Прогноз на 5 часов вперед'\n",
    "    )\n",
    "\n",
    "    #6\n",
    "    date_from = pd.to_datetime('2016-04-30 23:00:00') + pd.Timedelta(hours=6)\n",
    "    date_to = pd.to_datetime('2016-05-31 17:00:00') + pd.Timedelta(hours=6)\n",
    "\n",
    "    trace6_true = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['cnt'],\n",
    "        mode='markers',\n",
    "        name='Факт на 6 часов вперед'\n",
    "    )\n",
    "\n",
    "    trace6_pred = Scatter(\n",
    "        x = data[(data['region']==x) & (data['datetime']>=date_from) & (data['datetime']<=date_to)]['datetime'],\n",
    "        y = X_test[X_test['region']==x]['y_pred6'],\n",
    "        mode='markers',\n",
    "        name='Прогноз на 6 часов вперед'\n",
    "    )\n",
    "\n",
    "    data_ = [\n",
    "        trace1_true, trace1_pred,\n",
    "        trace2_true, trace2_pred,\n",
    "        trace3_true, trace3_pred,\n",
    "        trace4_true, trace4_pred,\n",
    "        trace5_true, trace5_pred,\n",
    "        trace6_true, trace6_pred\n",
    "    ]\n",
    "\n",
    "    updatemenus = list(\n",
    "        [\n",
    "            dict(\n",
    "                type='buttons',\n",
    "                active=0,\n",
    "                buttons=list(\n",
    "                    [\n",
    "                        dict(\n",
    "                            label='+1 час',\n",
    "                            method='update',\n",
    "                            args = [\n",
    "                                {\n",
    "                                    'visible': [\n",
    "                                        True, True,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False\n",
    "                                    ]\n",
    "                                }\n",
    "                            ]\n",
    "                        ),\n",
    "                        dict(\n",
    "                            label='+2 часа',\n",
    "                            method='update',\n",
    "                            args = [\n",
    "                                {\n",
    "                                    'visible': [\n",
    "                                        False, False,\n",
    "                                        True, True,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False\n",
    "                                    ]\n",
    "                                }\n",
    "                            ]\n",
    "                        ),\n",
    "                        dict(\n",
    "                            label='+3 часа',\n",
    "                            method='update',\n",
    "                            args = [\n",
    "                                {\n",
    "                                    'visible': [\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        True, True,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False\n",
    "                                    ]\n",
    "                                }\n",
    "                            ]\n",
    "                        ),\n",
    "                        dict(\n",
    "                            label='+4 часа',\n",
    "                            method='update',\n",
    "                            args = [\n",
    "                                {\n",
    "                                    'visible': [\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        True, True,\n",
    "                                        False, False,\n",
    "                                        False, False\n",
    "                                    ]\n",
    "                                }\n",
    "                            ]\n",
    "                        ),\n",
    "                        dict(\n",
    "                            label='+5 часов',\n",
    "                            method='update',\n",
    "                            args = [\n",
    "                                {\n",
    "                                    'visible': [\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        True, True,\n",
    "                                        False, False\n",
    "                                    ]\n",
    "                                }\n",
    "                            ]\n",
    "                        ),\n",
    "                        dict(\n",
    "                            label='+6 часов',\n",
    "                            method='update',\n",
    "                            args = [\n",
    "                                {\n",
    "                                    'visible': [\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        False, False,\n",
    "                                        True, True\n",
    "                                    ]\n",
    "                                }\n",
    "                            ]\n",
    "                        )\n",
    "                    ]\n",
    "                )\n",
    "            )\n",
    "        ]\n",
    "    )\n",
    "\n",
    "    layout = dict(\n",
    "        title='Факт и прогноз по региону ' + str(x),\n",
    "        updatemenus=updatemenus\n",
    "    )\n",
    "\n",
    "    fig = dict(data=data_, layout=layout)\n",
    "\n",
    "    iplot(fig)\n",
    "\n",
    "interact(\n",
    "    f,\n",
    "    x=widgets.Dropdown(options=[r for r in regions], description='region:'),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 10 Сохраняем ноутбук"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook Coursera_6_7.ipynb to html\n",
      "[NbConvertApp] Writing 821986 bytes to Coursera_6_7.html\n"
     ]
    }
   ],
   "source": [
    "!jupyter nbconvert --to html Coursera_6_7.ipynb"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}