Rome Artifact Detection.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import scipy as sp\n",
    "import pandas as pd\n",
    "import sklearn\n",
    "from matplotlib import pyplot as plt\n",
    "import math\n",
    "from __future__ import division\n",
    "# import seaborn as sns\n",
    "import seaborn as sns\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>date</th>\n",
       "      <th>HrMn</th>\n",
       "      <th>dir</th>\n",
       "      <th>speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.235770e+05</td>\n",
       "      <td>523577.000000</td>\n",
       "      <td>523577.000000</td>\n",
       "      <td>523577.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.996384e+07</td>\n",
       "      <td>1162.473529</td>\n",
       "      <td>208.605273</td>\n",
       "      <td>4.762744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.370768e+05</td>\n",
       "      <td>689.468339</td>\n",
       "      <td>143.137319</td>\n",
       "      <td>8.372933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.949080e+07</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.987111e+07</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>2.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.999083e+07</td>\n",
       "      <td>1150.000000</td>\n",
       "      <td>210.000000</td>\n",
       "      <td>4.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.008031e+07</td>\n",
       "      <td>1750.000000</td>\n",
       "      <td>260.000000</td>\n",
       "      <td>6.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.015080e+07</td>\n",
       "      <td>2355.000000</td>\n",
       "      <td>999.000000</td>\n",
       "      <td>999.900000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               date           HrMn            dir          speed\n",
       "count  5.235770e+05  523577.000000  523577.000000  523577.000000\n",
       "mean   1.996384e+07    1162.473529     208.605273       4.762744\n",
       "std    1.370768e+05     689.468339     143.137319       8.372933\n",
       "min    1.949080e+07       0.000000      10.000000       0.000000\n",
       "25%    1.987111e+07     600.000000     130.000000       2.600000\n",
       "50%    1.999083e+07    1150.000000     210.000000       4.100000\n",
       "75%    2.008031e+07    1750.000000     260.000000       6.200000\n",
       "max    2.015080e+07    2355.000000     999.000000     999.900000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import NCDC dataset\n",
    "ipath= \"./data/NCDC/marham.txt\"\n",
    "uipath = unicode(ipath , \"utf8\")\n",
    "file2 = open(uipath)\n",
    "df = pd.read_csv(uipath,header=0, skipinitialspace=True)\n",
    "df.drop(['USAF', 'NCDC', 'I','QCP','Q','Q.1','I.1','Unnamed: 12'], 1,inplace=True)\n",
    "df.rename(columns={'Date':'date','Dir': 'dir', 'Spd':'speed'}, inplace=True)\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xbb731d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cv5AudxikUAUlVTgda50NRAVBwMlLmbw9LKOYpHxcz1bmjge2TBAEbPwlun7TXiKqo+gE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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x6e6f4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Select year 1945-2014, dir < 999, speed<999\n",
    "df = df[(df['dir'] < 999) & (df['speed'] < 999)& (df['date'] > 19720000) &(df['date'] < 20150000)]\n",
    "df.rename(columns={'speed':'speed_mps'}, inplace=True)\n",
    "df['speed']=df['speed_mps']\n",
    "df.index= df['date']\n",
    "df['speed'].plot(legend=True,figsize=(10,4), grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xa75e550>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAAAwEAEAAICBCAAAAAxEAAAAYCACAAAAAxEAAAAYiAAAAMBABAAAAAYiAAAAMBABAACA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\nIgAAADAQAQAAgIEIAAAADPR/Z22wS5IFqOcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xaf93ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check time sample distribution,\n",
    "# and found that its not equally sampled.\n",
    "time = df[df['HrMn'] % 10 <= 0.1]\n",
    "time['HrMn'].hist(bins = 24)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df=df[df['Type']=='FM-15']\n",
    "# df=df[df['Type']=='FM-12']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n"
     ]
    }
   ],
   "source": [
    "df['artifact'] = False\n",
    "\n",
    "# Simple artifact detection\n",
    "# 1. dir error\n",
    "df.ix[df['dir'] % 10 >=0.1,'artifact']=True\n",
    "artifact = df[df['dir'] % 10 >=0.1]\n",
    "print len(artifact)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 2. Speed remain error\n",
    "# Generate the first digit of fractional part of the speed(after convert to knot unit)\n",
    "# e.g. 48.5 -> 5\n",
    "# import math\n",
    "# df['speed']=df['speed_mps']*1.943845\n",
    "# df['speed_remain'] = df['speed'].apply(lambda x: math.modf(x*10 % 10)[1])\n",
    "\n",
    "# # Plot the distribution of speed_remain,\n",
    "# # and compare between year<2000 and > 2000\n",
    "# temp = df[(df['date'] > 20000000)]\n",
    "# temp['speed_remain'].hist(bins = 10,alpha=0.5)\n",
    "# print temp['speed_remain'].value_counts()\n",
    "\n",
    "# temp = df[(df['date'] < 20000000)]\n",
    "# temp['speed_remain'].hist(bins = 10,alpha=0.5)\n",
    "# print temp['speed_remain'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# # From the distribution above, \n",
    "# # we can know that the legit number are only 0 and 9, all others are too rare to be normal.\n",
    "# df.ix[(df['speed_remain'] >= 2)&(df['speed_remain'] <= 7),'artifact']=True\n",
    "# df.drop(['speed_remain'], 1,inplace=True)\n",
    "# # and then converted the speed into integer\n",
    "# df.rename(columns={'speed':'speed_flt'}, inplace=True)\n",
    "# df['speed'] =  df['speed_flt'].apply(lambda x: int(round(x)))\n",
    "# df[df['artifact']== True].head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['speed'] =  df['speed_mps'].apply(lambda x: int(round(x*1.943845)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xca2c438>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SVFlZqejoaB0/flxr167Vrl27xnJ+AACEtWGDfsGCBYqKihoy/lWA366hoUG5ubmy2+1K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\nAACDEfQAABiMoAcAwGAEPQAABvv/1MDNgxi4Xx0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x3c1dc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pd.set_option('display.max_rows', 100)\n",
    "\n",
    "df['incre'] = df.speed.diff(1)\n",
    "df['incre'] = df['incre'].fillna(0)\n",
    "df['incre_reverse'] = df.speed.diff(-1)\n",
    "df['incre_reverse'] = df['incre_reverse'].fillna(0)\n",
    "bins=np.arange(-15, 15 + 1, 1)\n",
    "df['incre'].hist(bins=bins)\n",
    "# df.sort('speed',ascending=False).head(30)\n",
    "# print df['incre'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# df[(df['date'] >= 19790110)].head(60)\n",
    "# df[(df['date'] >= 19741029)].head(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "162\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>HrMn</th>\n",
       "      <th>Type</th>\n",
       "      <th>dir</th>\n",
       "      <th>speed_mps</th>\n",
       "      <th>speed</th>\n",
       "      <th>artifact</th>\n",
       "      <th>incre</th>\n",
       "      <th>incre_reverse</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19870522</th>\n",
       "      <td>19870522</td>\n",
       "      <td>800</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>20</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>False</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19870820</th>\n",
       "      <td>19870820</td>\n",
       "      <td>1400</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>7.2</td>\n",
       "      <td>14</td>\n",
       "      <td>False</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19870912</th>\n",
       "      <td>19870912</td>\n",
       "      <td>1313</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>12.9</td>\n",
       "      <td>25</td>\n",
       "      <td>False</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19871016</th>\n",
       "      <td>19871016</td>\n",
       "      <td>1326</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>11.8</td>\n",
       "      <td>23</td>\n",
       "      <td>False</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880104</th>\n",
       "      <td>19880104</td>\n",
       "      <td>2100</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>False</td>\n",
       "      <td>14.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880210</th>\n",
       "      <td>19880210</td>\n",
       "      <td>1500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>12.4</td>\n",
       "      <td>24</td>\n",
       "      <td>False</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880216</th>\n",
       "      <td>19880216</td>\n",
       "      <td>1341</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>300</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>False</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880223</th>\n",
       "      <td>19880223</td>\n",
       "      <td>1500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>330</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>False</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880315</th>\n",
       "      <td>19880315</td>\n",
       "      <td>1050</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>9.3</td>\n",
       "      <td>18</td>\n",
       "      <td>False</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880331</th>\n",
       "      <td>19880331</td>\n",
       "      <td>718</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>310</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881009</th>\n",
       "      <td>19881009</td>\n",
       "      <td>0</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>False</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881118</th>\n",
       "      <td>19881118</td>\n",
       "      <td>1030</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>10</td>\n",
       "      <td>10.3</td>\n",
       "      <td>20</td>\n",
       "      <td>False</td>\n",
       "      <td>18.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881121</th>\n",
       "      <td>19881121</td>\n",
       "      <td>8</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>20</td>\n",
       "      <td>8.8</td>\n",
       "      <td>17</td>\n",
       "      <td>False</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881218</th>\n",
       "      <td>19881218</td>\n",
       "      <td>2350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>8.8</td>\n",
       "      <td>17</td>\n",
       "      <td>False</td>\n",
       "      <td>10.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881228</th>\n",
       "      <td>19881228</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890112</th>\n",
       "      <td>19890112</td>\n",
       "      <td>8</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>8.8</td>\n",
       "      <td>17</td>\n",
       "      <td>False</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890129</th>\n",
       "      <td>19890129</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>False</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890218</th>\n",
       "      <td>19890218</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>14.4</td>\n",
       "      <td>28</td>\n",
       "      <td>False</td>\n",
       "      <td>17.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890309</th>\n",
       "      <td>19890309</td>\n",
       "      <td>550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>False</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890318</th>\n",
       "      <td>19890318</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>9.3</td>\n",
       "      <td>18</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890322</th>\n",
       "      <td>19890322</td>\n",
       "      <td>1200</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>14.4</td>\n",
       "      <td>28</td>\n",
       "      <td>False</td>\n",
       "      <td>18.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890324</th>\n",
       "      <td>19890324</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>13.4</td>\n",
       "      <td>26</td>\n",
       "      <td>False</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890411</th>\n",
       "      <td>19890411</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>170</td>\n",
       "      <td>12.4</td>\n",
       "      <td>24</td>\n",
       "      <td>False</td>\n",
       "      <td>13.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890421</th>\n",
       "      <td>19890421</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>40</td>\n",
       "      <td>8.8</td>\n",
       "      <td>17</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890514</th>\n",
       "      <td>19890514</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890616</th>\n",
       "      <td>19890616</td>\n",
       "      <td>1716</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>110</td>\n",
       "      <td>5.7</td>\n",
       "      <td>11</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890710</th>\n",
       "      <td>19890710</td>\n",
       "      <td>1208</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>False</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890717</th>\n",
       "      <td>19890717</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>5.7</td>\n",
       "      <td>11</td>\n",
       "      <td>False</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890729</th>\n",
       "      <td>19890729</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>340</td>\n",
       "      <td>7.2</td>\n",
       "      <td>14</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890820</th>\n",
       "      <td>19890820</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>130</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12</td>\n",
       "      <td>False</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20070704</th>\n",
       "      <td>20070704</td>\n",
       "      <td>1450</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>260</td>\n",
       "      <td>10.8</td>\n",
       "      <td>21</td>\n",
       "      <td>False</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20070815</th>\n",
       "      <td>20070815</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>8.7</td>\n",
       "      <td>17</td>\n",
       "      <td>False</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20070927</th>\n",
       "      <td>20070927</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>30</td>\n",
       "      <td>7.2</td>\n",
       "      <td>14</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20071009</th>\n",
       "      <td>20071009</td>\n",
       "      <td>1350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>280</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20071205</th>\n",
       "      <td>20071205</td>\n",
       "      <td>2350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>260</td>\n",
       "      <td>11.8</td>\n",
       "      <td>23</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20080304</th>\n",
       "      <td>20080304</td>\n",
       "      <td>1850</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>350</td>\n",
       "      <td>10.8</td>\n",
       "      <td>21</td>\n",
       "      <td>False</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20080414</th>\n",
       "      <td>20080414</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>10</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20080415</th>\n",
       "      <td>20080415</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>340</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20080703</th>\n",
       "      <td>20080703</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20080807</th>\n",
       "      <td>20080807</td>\n",
       "      <td>2050</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>280</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>False</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20090519</th>\n",
       "      <td>20090519</td>\n",
       "      <td>1950</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20090730</th>\n",
       "      <td>20090730</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>290</td>\n",
       "      <td>12.9</td>\n",
       "      <td>25</td>\n",
       "      <td>False</td>\n",
       "      <td>15.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20100106</th>\n",
       "      <td>20100106</td>\n",
       "      <td>950</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>60</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>False</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20101111</th>\n",
       "      <td>20101111</td>\n",
       "      <td>1505</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>13.9</td>\n",
       "      <td>27</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110803</th>\n",
       "      <td>20110803</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>330</td>\n",
       "      <td>9.3</td>\n",
       "      <td>18</td>\n",
       "      <td>False</td>\n",
       "      <td>14.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20111207</th>\n",
       "      <td>20111207</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>280</td>\n",
       "      <td>15.9</td>\n",
       "      <td>31</td>\n",
       "      <td>False</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20111222</th>\n",
       "      <td>20111222</td>\n",
       "      <td>650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>False</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120606</th>\n",
       "      <td>20120606</td>\n",
       "      <td>1450</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>10.3</td>\n",
       "      <td>20</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120616</th>\n",
       "      <td>20120616</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>13.9</td>\n",
       "      <td>27</td>\n",
       "      <td>False</td>\n",
       "      <td>8.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120621</th>\n",
       "      <td>20120621</td>\n",
       "      <td>1850</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>False</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120802</th>\n",
       "      <td>20120802</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120815</th>\n",
       "      <td>20120815</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>12.9</td>\n",
       "      <td>25</td>\n",
       "      <td>False</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20130426</th>\n",
       "      <td>20130426</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>280</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20130917</th>\n",
       "      <td>20130917</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>10.3</td>\n",
       "      <td>20</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140123</th>\n",
       "      <td>20140123</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>300</td>\n",
       "      <td>11.3</td>\n",
       "      <td>22</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140623</th>\n",
       "      <td>20140623</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>310</td>\n",
       "      <td>7.2</td>\n",
       "      <td>14</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140718</th>\n",
       "      <td>20140718</td>\n",
       "      <td>450</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>90</td>\n",
       "      <td>9.3</td>\n",
       "      <td>18</td>\n",
       "      <td>False</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140821</th>\n",
       "      <td>20140821</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>False</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20141211</th>\n",
       "      <td>20141211</td>\n",
       "      <td>750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>12.4</td>\n",
       "      <td>24</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20141227</th>\n",
       "      <td>20141227</td>\n",
       "      <td>1050</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>30</td>\n",
       "      <td>7.2</td>\n",
       "      <td>14</td>\n",
       "      <td>False</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>162 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              date  HrMn   Type  dir  speed_mps  speed artifact  incre  \\\n",
       "date                                                                     \n",
       "19870522  19870522   800  FM-15   20        8.2     16    False   11.0   \n",
       "19870820  19870820  1400  FM-15  190        7.2     14    False   12.0   \n",
       "19870912  19870912  1313  FM-15  220       12.9     25    False   13.0   \n",
       "19871016  19871016  1326  FM-15  230       11.8     23    False   14.0   \n",
       "19880104  19880104  2100  FM-15  250        9.8     19    False   14.0   \n",
       "19880210  19880210  1500  FM-15  250       12.4     24    False   12.0   \n",
       "19880216  19880216  1341  FM-15  300        8.2     16    False   11.0   \n",
       "19880223  19880223  1500  FM-15  330        9.8     19    False   12.0   \n",
       "19880315  19880315  1050  FM-15  200        9.3     18    False   16.0   \n",
       "19880331  19880331   718  FM-15  310        4.6      9    False    7.0   \n",
       "19881009  19881009     0  FM-15  200        8.2     16    False   14.0   \n",
       "19881118  19881118  1030  FM-15   10       10.3     20    False   18.0   \n",
       "19881121  19881121     8  FM-15   20        8.8     17    False   13.0   \n",
       "19881218  19881218  2350  FM-15  240        8.8     17    False   10.0   \n",
       "19881228  19881228  1150  FM-15  220        7.7     15    False    9.0   \n",
       "19890112  19890112     8  FM-15  190        8.8     17    False   10.0   \n",
       "19890129  19890129  1150  FM-15  220        6.7     13    False   10.0   \n",
       "19890218  19890218  1750  FM-15  210       14.4     28    False   17.0   \n",
       "19890309  19890309   550  FM-15  190        7.7     15    False   13.0   \n",
       "19890318  19890318  1150  FM-15  200        9.3     18    False    9.0   \n",
       "19890322  19890322  1200  FM-15  230       14.4     28    False   18.0   \n",
       "19890324  19890324  1750  FM-15  270       13.4     26    False   11.0   \n",
       "19890411  19890411  1150  FM-15  170       12.4     24    False   13.0   \n",
       "19890421  19890421  1150  FM-15   40        8.8     17    False    9.0   \n",
       "19890514  19890514  1150  FM-15  240        5.1     10    False    8.0   \n",
       "19890616  19890616  1716  FM-15  110        5.7     11    False    9.0   \n",
       "19890710  19890710  1208  FM-15  270        6.7     13    False   11.0   \n",
       "19890717  19890717  1150  FM-15  270        5.7     11    False    8.0   \n",
       "19890729  19890729  1150  FM-15  340        7.2     14    False    9.0   \n",
       "19890820  19890820  1750  FM-15  130        6.2     12    False   10.0   \n",
       "...            ...   ...    ...  ...        ...    ...      ...    ...   \n",
       "20070704  20070704  1450  FM-15  260       10.8     21    False    8.0   \n",
       "20070815  20070815  1650  FM-15  250        8.7     17    False   10.0   \n",
       "20070927  20070927  1650  FM-15   30        7.2     14    False    7.0   \n",
       "20071009  20071009  1350  FM-15  280        8.2     16    False    7.0   \n",
       "20071205  20071205  2350  FM-15  260       11.8     23    False    7.0   \n",
       "20080304  20080304  1850  FM-15  350       10.8     21    False    8.0   \n",
       "20080414  20080414  1650  FM-15   10        7.7     15    False    9.0   \n",
       "20080415  20080415  1550  FM-15  340        9.8     19    False    9.0   \n",
       "20080703  20080703  1250  FM-15  230        8.2     16    False    7.0   \n",
       "20080807  20080807  2050  FM-15  280        8.2     16    False   12.0   \n",
       "20090519  20090519  1950  FM-15  240        8.2     16    False    7.0   \n",
       "20090730  20090730  1250  FM-15  290       12.9     25    False   15.0   \n",
       "20100106  20100106   950  FM-15   60        6.7     13    False    8.0   \n",
       "20101111  20101111  1505  FM-15  270       13.9     27    False    9.0   \n",
       "20110803  20110803  1550  FM-15  330        9.3     18    False   14.0   \n",
       "20111207  20111207  1250  FM-15  280       15.9     31    False    8.0   \n",
       "20111222  20111222   650  FM-15  240        6.7     13    False    8.0   \n",
       "20120606  20120606  1450  FM-15  200       10.3     20    False    7.0   \n",
       "20120616  20120616  1250  FM-15  200       13.9     27    False    8.0   \n",
       "20120621  20120621  1850  FM-15  210        7.7     15    False    8.0   \n",
       "20120802  20120802  1550  FM-15  220        9.8     19    False    7.0   \n",
       "20120815  20120815  1650  FM-15  240       12.9     25    False   10.0   \n",
       "20130426  20130426  1150  FM-15  280        9.8     19    False    9.0   \n",
       "20130917  20130917  1250  FM-15  240       10.3     20    False    7.0   \n",
       "20140123  20140123  1550  FM-15  300       11.3     22    False    9.0   \n",
       "20140623  20140623  1550  FM-15  310        7.2     14    False    7.0   \n",
       "20140718  20140718   450  FM-15   90        9.3     18    False    9.0   \n",
       "20140821  20140821  1650  FM-15  240        9.8     19    False   10.0   \n",
       "20141211  20141211   750  FM-15  250       12.4     24    False    7.0   \n",
       "20141227  20141227  1050  FM-15   30        7.2     14    False    7.0   \n",
       "\n",
       "          incre_reverse  \n",
       "date                     \n",
       "19870522           13.0  \n",
       "19870820            9.0  \n",
       "19870912           22.0  \n",
       "19871016           13.0  \n",
       "19880104           10.0  \n",
       "19880210           13.0  \n",
       "19880216            8.0  \n",
       "19880223            8.0  \n",
       "19880315           12.0  \n",
       "19880331            7.0  \n",
       "19881009           14.0  \n",
       "19881118           13.0  \n",
       "19881121           10.0  \n",
       "19881218           14.0  \n",
       "19881228            8.0  \n",
       "19890112            9.0  \n",
       "19890129           11.0  \n",
       "19890218            7.0  \n",
       "19890309           10.0  \n",
       "19890318           10.0  \n",
       "19890322           10.0  \n",
       "19890324           14.0  \n",
       "19890411           14.0  \n",
       "19890421           10.0  \n",
       "19890514            7.0  \n",
       "19890616            8.0  \n",
       "19890710            7.0  \n",
       "19890717            9.0  \n",
       "19890729           10.0  \n",
       "19890820           10.0  \n",
       "...                 ...  \n",
       "20070704            9.0  \n",
       "20070815           10.0  \n",
       "20070927            9.0  \n",
       "20071009            9.0  \n",
       "20071205            7.0  \n",
       "20080304            9.0  \n",
       "20080414            7.0  \n",
       "20080415            9.0  \n",
       "20080703            9.0  \n",
       "20080807           11.0  \n",
       "20090519            7.0  \n",
       "20090730           12.0  \n",
       "20100106            7.0  \n",
       "20101111           10.0  \n",
       "20110803            7.0  \n",
       "20111207            9.0  \n",
       "20111222            8.0  \n",
       "20120606           13.0  \n",
       "20120616           24.0  \n",
       "20120621            8.0  \n",
       "20120802           14.0  \n",
       "20120815           13.0  \n",
       "20130426            9.0  \n",
       "20130917            8.0  \n",
       "20140123           11.0  \n",
       "20140623           11.0  \n",
       "20140718           11.0  \n",
       "20140821            8.0  \n",
       "20141211            8.0  \n",
       "20141227            7.0  \n",
       "\n",
       "[162 rows x 9 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 3. Artifact detection: sudden increase\n",
    "# detect udden increase from nearby data, consider singular increase\n",
    "artifact = df[((df['incre'] >= 7)&(df['incre_reverse'] >= 7))]\n",
    "df.ix[((df['incre'] >= 7)&(df['incre_reverse'] >= 7)),'artifact']=True\n",
    "print len(artifact)\n",
    "artifact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "103\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>HrMn</th>\n",
       "      <th>Type</th>\n",
       "      <th>dir</th>\n",
       "      <th>speed_mps</th>\n",
       "      <th>speed</th>\n",
       "      <th>artifact</th>\n",
       "      <th>incre</th>\n",
       "      <th>incre_reverse</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19880117</th>\n",
       "      <td>19880117</td>\n",
       "      <td>1500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>False</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880205</th>\n",
       "      <td>19880205</td>\n",
       "      <td>1500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12</td>\n",
       "      <td>False</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>-12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880312</th>\n",
       "      <td>19880312</td>\n",
       "      <td>2100</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880521</th>\n",
       "      <td>19880521</td>\n",
       "      <td>500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>140</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881130</th>\n",
       "      <td>19881130</td>\n",
       "      <td>1720</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881228</th>\n",
       "      <td>19881228</td>\n",
       "      <td>608</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890128</th>\n",
       "      <td>19890128</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>310</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890224</th>\n",
       "      <td>19890224</td>\n",
       "      <td>608</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>160</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890308</th>\n",
       "      <td>19890308</td>\n",
       "      <td>608</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890323</th>\n",
       "      <td>19890323</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890420</th>\n",
       "      <td>19890420</td>\n",
       "      <td>2350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>350</td>\n",
       "      <td>4.1</td>\n",
       "      <td>8</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890615</th>\n",
       "      <td>19890615</td>\n",
       "      <td>2350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>160</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19891030</th>\n",
       "      <td>19891030</td>\n",
       "      <td>1050</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>290</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19891224</th>\n",
       "      <td>19891224</td>\n",
       "      <td>2050</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19900124</th>\n",
       "      <td>19900124</td>\n",
       "      <td>950</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>260</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19900207</th>\n",
       "      <td>19900207</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>8.8</td>\n",
       "      <td>17</td>\n",
       "      <td>False</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19900212</th>\n",
       "      <td>19900212</td>\n",
       "      <td>1423</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>False</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19900227</th>\n",
       "      <td>19900227</td>\n",
       "      <td>250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>280</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19900228</th>\n",
       "      <td>19900228</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19910105</th>\n",
       "      <td>19910105</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>-19.0</td>\n",
       "      <td>-22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19910110</th>\n",
       "      <td>19910110</td>\n",
       "      <td>1050</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>9.3</td>\n",
       "      <td>18</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19910325</th>\n",
       "      <td>19910325</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>50</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19910407</th>\n",
       "      <td>19910407</td>\n",
       "      <td>1450</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>-16.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19910504</th>\n",
       "      <td>19910504</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>360</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19911106</th>\n",
       "      <td>19911106</td>\n",
       "      <td>2350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19911218</th>\n",
       "      <td>19911218</td>\n",
       "      <td>250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19920403</th>\n",
       "      <td>19920403</td>\n",
       "      <td>950</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>30</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19920426</th>\n",
       "      <td>19920426</td>\n",
       "      <td>1850</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>5.7</td>\n",
       "      <td>11</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19920523</th>\n",
       "      <td>19920523</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19920618</th>\n",
       "      <td>19920618</td>\n",
       "      <td>1050</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>20</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20060408</th>\n",
       "      <td>20060408</td>\n",
       "      <td>550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>260</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20060518</th>\n",
       "      <td>20060518</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>-16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20061019</th>\n",
       "      <td>20061019</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20061113</th>\n",
       "      <td>20061113</td>\n",
       "      <td>950</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20061207</th>\n",
       "      <td>20061207</td>\n",
       "      <td>950</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>False</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20070109</th>\n",
       "      <td>20070109</td>\n",
       "      <td>2350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>4.1</td>\n",
       "      <td>8</td>\n",
       "      <td>False</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20070111</th>\n",
       "      <td>20070111</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>260</td>\n",
       "      <td>10.8</td>\n",
       "      <td>21</td>\n",
       "      <td>False</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20070118</th>\n",
       "      <td>20070118</td>\n",
       "      <td>1350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>260</td>\n",
       "      <td>18.0</td>\n",
       "      <td>35</td>\n",
       "      <td>False</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20070318</th>\n",
       "      <td>20070318</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>310</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>False</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20070815</th>\n",
       "      <td>20070815</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>280</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20070927</th>\n",
       "      <td>20070927</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>30</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20071028</th>\n",
       "      <td>20071028</td>\n",
       "      <td>1450</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>-9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20080108</th>\n",
       "      <td>20080108</td>\n",
       "      <td>2350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>260</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>False</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20080311</th>\n",
       "      <td>20080311</td>\n",
       "      <td>1350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20080311</th>\n",
       "      <td>20080311</td>\n",
       "      <td>2350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20090519</th>\n",
       "      <td>20090519</td>\n",
       "      <td>1850</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>False</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20090522</th>\n",
       "      <td>20090522</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>290</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20090717</th>\n",
       "      <td>20090717</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>340</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20090730</th>\n",
       "      <td>20090730</td>\n",
       "      <td>1227</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>300</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10</td>\n",
       "      <td>False</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>-15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20100210</th>\n",
       "      <td>20100210</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>30</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110512</th>\n",
       "      <td>20110512</td>\n",
       "      <td>1450</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110610</th>\n",
       "      <td>20110610</td>\n",
       "      <td>1350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>140</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110705</th>\n",
       "      <td>20110705</td>\n",
       "      <td>1850</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110803</th>\n",
       "      <td>20110803</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>140</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120103</th>\n",
       "      <td>20120103</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>8.7</td>\n",
       "      <td>17</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120606</th>\n",
       "      <td>20120606</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>180</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20130513</th>\n",
       "      <td>20130513</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>5.7</td>\n",
       "      <td>11</td>\n",
       "      <td>False</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140331</th>\n",
       "      <td>20140331</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140823</th>\n",
       "      <td>20140823</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>300</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20141027</th>\n",
       "      <td>20141027</td>\n",
       "      <td>50</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              date  HrMn   Type  dir  speed_mps  speed artifact  incre  \\\n",
       "date                                                                     \n",
       "19880117  19880117  1500  FM-15  200        4.6      9    False  -10.0   \n",
       "19880205  19880205  1500  FM-15  210        6.2     12    False  -10.0   \n",
       "19880312  19880312  2100  FM-15   10        1.0      2    False   -7.0   \n",
       "19880521  19880521   500  FM-15  140        1.0      2    False   -7.0   \n",
       "19881130  19881130  1720  FM-15  190        1.0      2    False  -11.0   \n",
       "19881228  19881228   608  FM-15  190        3.1      6    False  -12.0   \n",
       "19890128  19890128  1750  FM-15  310        1.5      3    False  -14.0   \n",
       "19890224  19890224   608  FM-15  160        4.6      9    False   -8.0   \n",
       "19890308  19890308   608  FM-15  210        1.0      2    False  -12.0   \n",
       "19890323  19890323  1750  FM-15  230        7.7     15    False   -8.0   \n",
       "19890420  19890420  2350  FM-15  350        4.1      8    False   -8.0   \n",
       "19890615  19890615  2350  FM-15  160        1.0      2    False   -7.0   \n",
       "19891030  19891030  1050  FM-15  290        5.1     10    False   -8.0   \n",
       "19891224  19891224  2050  FM-15  200        8.2     16    False   -8.0   \n",
       "19900124  19900124   950  FM-15  260        6.7     13    False   -7.0   \n",
       "19900207  19900207  1650  FM-15  200        8.8     17    False   -9.0   \n",
       "19900212  19900212  1423  FM-15  270        6.7     13    False   -9.0   \n",
       "19900227  19900227   250  FM-15  280        4.6      9    False   -8.0   \n",
       "19900228  19900228  1750  FM-15  270        1.5      3    False  -15.0   \n",
       "19910105  19910105  1550  FM-15  230        1.0      2    False  -19.0   \n",
       "19910110  19910110  1050  FM-15  230        9.3     18    False   -8.0   \n",
       "19910325  19910325  1550  FM-15   50        3.1      6    False   -8.0   \n",
       "19910407  19910407  1450  FM-15  220        5.1     10    False  -16.0   \n",
       "19910504  19910504  1150  FM-15  360        5.1     10    False   -8.0   \n",
       "19911106  19911106  2350  FM-15  250        5.1     10    False   -8.0   \n",
       "19911218  19911218   250  FM-15  270        6.2     12    False   -8.0   \n",
       "19920403  19920403   950  FM-15   30        3.1      6    False   -8.0   \n",
       "19920426  19920426  1850  FM-15  200        5.7     11    False   -8.0   \n",
       "19920523  19920523  1150  FM-15   10        1.0      2    False   -8.0   \n",
       "19920618  19920618  1050  FM-15   20        6.2     12    False   -7.0   \n",
       "...            ...   ...    ...  ...        ...    ...      ...    ...   \n",
       "20060408  20060408   550  FM-15  260        3.1      6    False  -11.0   \n",
       "20060518  20060518  1550  FM-15  250        5.1     10    False  -11.0   \n",
       "20061019  20061019  1150  FM-15  210        6.2     12    False   -8.0   \n",
       "20061113  20061113   950  FM-15  250        5.1     10    False   -9.0   \n",
       "20061207  20061207   950  FM-15  220        6.7     13    False  -10.0   \n",
       "20070109  20070109  2350  FM-15  270        4.1      8    False   -9.0   \n",
       "20070111  20070111  1150  FM-15  260       10.8     21    False  -14.0   \n",
       "20070118  20070118  1350  FM-15  260       18.0     35    False  -12.0   \n",
       "20070318  20070318  1550  FM-15  310        6.7     13    False  -15.0   \n",
       "20070815  20070815  1550  FM-15  280        3.6      7    False   -7.0   \n",
       "20070927  20070927  1550  FM-15   30        3.6      7    False   -7.0   \n",
       "20071028  20071028  1450  FM-15  210        3.6      7    False  -13.0   \n",
       "20080108  20080108  2350  FM-15  260        4.6      9    False  -12.0   \n",
       "20080311  20080311  1350  FM-15  190        4.6      9    False   -8.0   \n",
       "20080311  20080311  2350  FM-15  250        5.1     10    False   -7.0   \n",
       "20090519  20090519  1850  FM-15  240        4.6      9    False   -9.0   \n",
       "20090522  20090522  1550  FM-15  290        2.6      5    False   -7.0   \n",
       "20090717  20090717  1150  FM-15  340        2.6      5    False   -8.0   \n",
       "20090730  20090730  1227  FM-15  300        5.1     10    False  -11.0   \n",
       "20100210  20100210  1650  FM-15   30        3.1      6    False   -8.0   \n",
       "20110512  20110512  1450  FM-15  250        3.1      6    False   -7.0   \n",
       "20110610  20110610  1350  FM-15  140        1.5      3    False  -10.0   \n",
       "20110705  20110705  1850  FM-15  220        2.1      4    False   -7.0   \n",
       "20110803  20110803  1750  FM-15  140        1.5      3    False   -8.0   \n",
       "20120103  20120103  1250  FM-15  230        8.7     17    False   -8.0   \n",
       "20120606  20120606  1550  FM-15  180        3.6      7    False  -13.0   \n",
       "20130513  20130513  1550  FM-15  250        5.7     11    False   -9.0   \n",
       "20140331  20140331  1550  FM-15  270        0.5      1    False   -7.0   \n",
       "20140823  20140823  1250  FM-15  300        3.1      6    False   -7.0   \n",
       "20141027  20141027    50  FM-15  200        3.1      6    False   -8.0   \n",
       "\n",
       "          incre_reverse  \n",
       "date                     \n",
       "19880117           -7.0  \n",
       "19880205          -12.0  \n",
       "19880312          -16.0  \n",
       "19880521          -14.0  \n",
       "19881130          -10.0  \n",
       "19881228           -9.0  \n",
       "19890128          -10.0  \n",
       "19890224           -7.0  \n",
       "19890308          -13.0  \n",
       "19890323          -11.0  \n",
       "19890420           -9.0  \n",
       "19890615           -9.0  \n",
       "19891030           -7.0  \n",
       "19891224           -8.0  \n",
       "19900124           -9.0  \n",
       "19900207          -13.0  \n",
       "19900212          -11.0  \n",
       "19900227          -11.0  \n",
       "19900228           -8.0  \n",
       "19910105          -22.0  \n",
       "19910110          -14.0  \n",
       "19910325          -10.0  \n",
       "19910407          -10.0  \n",
       "19910504          -10.0  \n",
       "19911106          -10.0  \n",
       "19911218           -8.0  \n",
       "19920403           -7.0  \n",
       "19920426           -8.0  \n",
       "19920523          -11.0  \n",
       "19920618           -8.0  \n",
       "...                 ...  \n",
       "20060408           -7.0  \n",
       "20060518          -16.0  \n",
       "20061019           -8.0  \n",
       "20061113           -9.0  \n",
       "20061207           -8.0  \n",
       "20070109           -9.0  \n",
       "20070111           -7.0  \n",
       "20070118           -8.0  \n",
       "20070318          -10.0  \n",
       "20070815          -10.0  \n",
       "20070927           -7.0  \n",
       "20071028           -9.0  \n",
       "20080108           -8.0  \n",
       "20080311           -8.0  \n",
       "20080311          -14.0  \n",
       "20090519           -7.0  \n",
       "20090522           -8.0  \n",
       "20090717           -8.0  \n",
       "20090730          -15.0  \n",
       "20100210           -7.0  \n",
       "20110512           -8.0  \n",
       "20110610           -8.0  \n",
       "20110705           -8.0  \n",
       "20110803           -7.0  \n",
       "20120103           -7.0  \n",
       "20120606           -8.0  \n",
       "20130513           -7.0  \n",
       "20140331           -7.0  \n",
       "20140823           -7.0  \n",
       "20141027           -7.0  \n",
       "\n",
       "[103 rows x 9 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artifact = df[((df['incre'] <= -7)&(df['incre_reverse'] <= -7))]\n",
    "df.ix[((df['incre'] <= -7)&(df['incre_reverse'] <= -7)),'artifact']=True\n",
    "print len(artifact)\n",
    "artifact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "268\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>HrMn</th>\n",
       "      <th>Type</th>\n",
       "      <th>dir</th>\n",
       "      <th>speed_mps</th>\n",
       "      <th>speed</th>\n",
       "      <th>artifact</th>\n",
       "      <th>incre</th>\n",
       "      <th>incre_reverse</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19870522</th>\n",
       "      <td>19870522</td>\n",
       "      <td>800</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>20</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>True</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19870820</th>\n",
       "      <td>19870820</td>\n",
       "      <td>1400</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>7.2</td>\n",
       "      <td>14</td>\n",
       "      <td>True</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19870912</th>\n",
       "      <td>19870912</td>\n",
       "      <td>1313</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>12.9</td>\n",
       "      <td>25</td>\n",
       "      <td>True</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19871016</th>\n",
       "      <td>19871016</td>\n",
       "      <td>1326</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>11.8</td>\n",
       "      <td>23</td>\n",
       "      <td>True</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880104</th>\n",
       "      <td>19880104</td>\n",
       "      <td>2100</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>True</td>\n",
       "      <td>14.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880117</th>\n",
       "      <td>19880117</td>\n",
       "      <td>1500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>True</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880205</th>\n",
       "      <td>19880205</td>\n",
       "      <td>1500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12</td>\n",
       "      <td>True</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>-12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880210</th>\n",
       "      <td>19880210</td>\n",
       "      <td>1500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>12.4</td>\n",
       "      <td>24</td>\n",
       "      <td>True</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880216</th>\n",
       "      <td>19880216</td>\n",
       "      <td>1341</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>300</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>True</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880223</th>\n",
       "      <td>19880223</td>\n",
       "      <td>1500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>330</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>True</td>\n",
       "      <td>12.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880312</th>\n",
       "      <td>19880312</td>\n",
       "      <td>2100</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>10</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880315</th>\n",
       "      <td>19880315</td>\n",
       "      <td>1050</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>9.3</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880331</th>\n",
       "      <td>19880331</td>\n",
       "      <td>718</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>310</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>True</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19880521</th>\n",
       "      <td>19880521</td>\n",
       "      <td>500</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>140</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881009</th>\n",
       "      <td>19881009</td>\n",
       "      <td>0</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>8.2</td>\n",
       "      <td>16</td>\n",
       "      <td>True</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881118</th>\n",
       "      <td>19881118</td>\n",
       "      <td>1030</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>10</td>\n",
       "      <td>10.3</td>\n",
       "      <td>20</td>\n",
       "      <td>True</td>\n",
       "      <td>18.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881121</th>\n",
       "      <td>19881121</td>\n",
       "      <td>8</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>20</td>\n",
       "      <td>8.8</td>\n",
       "      <td>17</td>\n",
       "      <td>True</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881130</th>\n",
       "      <td>19881130</td>\n",
       "      <td>1720</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881218</th>\n",
       "      <td>19881218</td>\n",
       "      <td>2350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>8.8</td>\n",
       "      <td>17</td>\n",
       "      <td>True</td>\n",
       "      <td>10.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881228</th>\n",
       "      <td>19881228</td>\n",
       "      <td>608</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19881228</th>\n",
       "      <td>19881228</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>True</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890112</th>\n",
       "      <td>19890112</td>\n",
       "      <td>8</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>8.8</td>\n",
       "      <td>17</td>\n",
       "      <td>True</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890128</th>\n",
       "      <td>19890128</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>310</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "      <td>-14.0</td>\n",
       "      <td>-10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890129</th>\n",
       "      <td>19890129</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>True</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890218</th>\n",
       "      <td>19890218</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>14.4</td>\n",
       "      <td>28</td>\n",
       "      <td>True</td>\n",
       "      <td>17.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890224</th>\n",
       "      <td>19890224</td>\n",
       "      <td>608</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>160</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9</td>\n",
       "      <td>True</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890308</th>\n",
       "      <td>19890308</td>\n",
       "      <td>608</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "      <td>-12.0</td>\n",
       "      <td>-13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890309</th>\n",
       "      <td>19890309</td>\n",
       "      <td>550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>190</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>True</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890318</th>\n",
       "      <td>19890318</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>9.3</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19890322</th>\n",
       "      <td>19890322</td>\n",
       "      <td>1200</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>14.4</td>\n",
       "      <td>28</td>\n",
       "      <td>True</td>\n",
       "      <td>18.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20090730</th>\n",
       "      <td>20090730</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>290</td>\n",
       "      <td>12.9</td>\n",
       "      <td>25</td>\n",
       "      <td>True</td>\n",
       "      <td>15.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20100106</th>\n",
       "      <td>20100106</td>\n",
       "      <td>950</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>60</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>True</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20100210</th>\n",
       "      <td>20100210</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>30</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20101111</th>\n",
       "      <td>20101111</td>\n",
       "      <td>1505</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>13.9</td>\n",
       "      <td>27</td>\n",
       "      <td>True</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110512</th>\n",
       "      <td>20110512</td>\n",
       "      <td>1450</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110610</th>\n",
       "      <td>20110610</td>\n",
       "      <td>1350</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>140</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110705</th>\n",
       "      <td>20110705</td>\n",
       "      <td>1850</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4</td>\n",
       "      <td>True</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110803</th>\n",
       "      <td>20110803</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>330</td>\n",
       "      <td>9.3</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>14.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20110803</th>\n",
       "      <td>20110803</td>\n",
       "      <td>1750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>140</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20111207</th>\n",
       "      <td>20111207</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>280</td>\n",
       "      <td>15.9</td>\n",
       "      <td>31</td>\n",
       "      <td>True</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20111222</th>\n",
       "      <td>20111222</td>\n",
       "      <td>650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>6.7</td>\n",
       "      <td>13</td>\n",
       "      <td>True</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120103</th>\n",
       "      <td>20120103</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>230</td>\n",
       "      <td>8.7</td>\n",
       "      <td>17</td>\n",
       "      <td>True</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120606</th>\n",
       "      <td>20120606</td>\n",
       "      <td>1450</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>10.3</td>\n",
       "      <td>20</td>\n",
       "      <td>True</td>\n",
       "      <td>7.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120606</th>\n",
       "      <td>20120606</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>180</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>-8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120616</th>\n",
       "      <td>20120616</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>13.9</td>\n",
       "      <td>27</td>\n",
       "      <td>True</td>\n",
       "      <td>8.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120621</th>\n",
       "      <td>20120621</td>\n",
       "      <td>1850</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>210</td>\n",
       "      <td>7.7</td>\n",
       "      <td>15</td>\n",
       "      <td>True</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120802</th>\n",
       "      <td>20120802</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>220</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>True</td>\n",
       "      <td>7.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20120815</th>\n",
       "      <td>20120815</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>12.9</td>\n",
       "      <td>25</td>\n",
       "      <td>True</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20130426</th>\n",
       "      <td>20130426</td>\n",
       "      <td>1150</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>280</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>True</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20130513</th>\n",
       "      <td>20130513</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>5.7</td>\n",
       "      <td>11</td>\n",
       "      <td>True</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20130917</th>\n",
       "      <td>20130917</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>10.3</td>\n",
       "      <td>20</td>\n",
       "      <td>True</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140123</th>\n",
       "      <td>20140123</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>300</td>\n",
       "      <td>11.3</td>\n",
       "      <td>22</td>\n",
       "      <td>True</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140331</th>\n",
       "      <td>20140331</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>270</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140623</th>\n",
       "      <td>20140623</td>\n",
       "      <td>1550</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>310</td>\n",
       "      <td>7.2</td>\n",
       "      <td>14</td>\n",
       "      <td>True</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140718</th>\n",
       "      <td>20140718</td>\n",
       "      <td>450</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>90</td>\n",
       "      <td>9.3</td>\n",
       "      <td>18</td>\n",
       "      <td>True</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140821</th>\n",
       "      <td>20140821</td>\n",
       "      <td>1650</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>240</td>\n",
       "      <td>9.8</td>\n",
       "      <td>19</td>\n",
       "      <td>True</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20140823</th>\n",
       "      <td>20140823</td>\n",
       "      <td>1250</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>300</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20141027</th>\n",
       "      <td>20141027</td>\n",
       "      <td>50</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>200</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>-7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20141211</th>\n",
       "      <td>20141211</td>\n",
       "      <td>750</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>250</td>\n",
       "      <td>12.4</td>\n",
       "      <td>24</td>\n",
       "      <td>True</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20141227</th>\n",
       "      <td>20141227</td>\n",
       "      <td>1050</td>\n",
       "      <td>FM-15</td>\n",
       "      <td>30</td>\n",
       "      <td>7.2</td>\n",
       "      <td>14</td>\n",
       "      <td>True</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>268 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              date  HrMn   Type  dir  speed_mps  speed artifact  incre  \\\n",
       "date                                                                     \n",
       "19870522  19870522   800  FM-15   20        8.2     16     True   11.0   \n",
       "19870820  19870820  1400  FM-15  190        7.2     14     True   12.0   \n",
       "19870912  19870912  1313  FM-15  220       12.9     25     True   13.0   \n",
       "19871016  19871016  1326  FM-15  230       11.8     23     True   14.0   \n",
       "19880104  19880104  2100  FM-15  250        9.8     19     True   14.0   \n",
       "19880117  19880117  1500  FM-15  200        4.6      9     True  -10.0   \n",
       "19880205  19880205  1500  FM-15  210        6.2     12     True  -10.0   \n",
       "19880210  19880210  1500  FM-15  250       12.4     24     True   12.0   \n",
       "19880216  19880216  1341  FM-15  300        8.2     16     True   11.0   \n",
       "19880223  19880223  1500  FM-15  330        9.8     19     True   12.0   \n",
       "19880312  19880312  2100  FM-15   10        1.0      2     True   -7.0   \n",
       "19880315  19880315  1050  FM-15  200        9.3     18     True   16.0   \n",
       "19880331  19880331   718  FM-15  310        4.6      9     True    7.0   \n",
       "19880521  19880521   500  FM-15  140        1.0      2     True   -7.0   \n",
       "19881009  19881009     0  FM-15  200        8.2     16     True   14.0   \n",
       "19881118  19881118  1030  FM-15   10       10.3     20     True   18.0   \n",
       "19881121  19881121     8  FM-15   20        8.8     17     True   13.0   \n",
       "19881130  19881130  1720  FM-15  190        1.0      2     True  -11.0   \n",
       "19881218  19881218  2350  FM-15  240        8.8     17     True   10.0   \n",
       "19881228  19881228   608  FM-15  190        3.1      6     True  -12.0   \n",
       "19881228  19881228  1150  FM-15  220        7.7     15     True    9.0   \n",
       "19890112  19890112     8  FM-15  190        8.8     17     True   10.0   \n",
       "19890128  19890128  1750  FM-15  310        1.5      3     True  -14.0   \n",
       "19890129  19890129  1150  FM-15  220        6.7     13     True   10.0   \n",
       "19890218  19890218  1750  FM-15  210       14.4     28     True   17.0   \n",
       "19890224  19890224   608  FM-15  160        4.6      9     True   -8.0   \n",
       "19890308  19890308   608  FM-15  210        1.0      2     True  -12.0   \n",
       "19890309  19890309   550  FM-15  190        7.7     15     True   13.0   \n",
       "19890318  19890318  1150  FM-15  200        9.3     18     True    9.0   \n",
       "19890322  19890322  1200  FM-15  230       14.4     28     True   18.0   \n",
       "...            ...   ...    ...  ...        ...    ...      ...    ...   \n",
       "20090730  20090730  1250  FM-15  290       12.9     25     True   15.0   \n",
       "20100106  20100106   950  FM-15   60        6.7     13     True    8.0   \n",
       "20100210  20100210  1650  FM-15   30        3.1      6     True   -8.0   \n",
       "20101111  20101111  1505  FM-15  270       13.9     27     True    9.0   \n",
       "20110512  20110512  1450  FM-15  250        3.1      6     True   -7.0   \n",
       "20110610  20110610  1350  FM-15  140        1.5      3     True  -10.0   \n",
       "20110705  20110705  1850  FM-15  220        2.1      4     True   -7.0   \n",
       "20110803  20110803  1550  FM-15  330        9.3     18     True   14.0   \n",
       "20110803  20110803  1750  FM-15  140        1.5      3     True   -8.0   \n",
       "20111207  20111207  1250  FM-15  280       15.9     31     True    8.0   \n",
       "20111222  20111222   650  FM-15  240        6.7     13     True    8.0   \n",
       "20120103  20120103  1250  FM-15  230        8.7     17     True   -8.0   \n",
       "20120606  20120606  1450  FM-15  200       10.3     20     True    7.0   \n",
       "20120606  20120606  1550  FM-15  180        3.6      7     True  -13.0   \n",
       "20120616  20120616  1250  FM-15  200       13.9     27     True    8.0   \n",
       "20120621  20120621  1850  FM-15  210        7.7     15     True    8.0   \n",
       "20120802  20120802  1550  FM-15  220        9.8     19     True    7.0   \n",
       "20120815  20120815  1650  FM-15  240       12.9     25     True   10.0   \n",
       "20130426  20130426  1150  FM-15  280        9.8     19     True    9.0   \n",
       "20130513  20130513  1550  FM-15  250        5.7     11     True   -9.0   \n",
       "20130917  20130917  1250  FM-15  240       10.3     20     True    7.0   \n",
       "20140123  20140123  1550  FM-15  300       11.3     22     True    9.0   \n",
       "20140331  20140331  1550  FM-15  270        0.5      1     True   -7.0   \n",
       "20140623  20140623  1550  FM-15  310        7.2     14     True    7.0   \n",
       "20140718  20140718   450  FM-15   90        9.3     18     True    9.0   \n",
       "20140821  20140821  1650  FM-15  240        9.8     19     True   10.0   \n",
       "20140823  20140823  1250  FM-15  300        3.1      6     True   -7.0   \n",
       "20141027  20141027    50  FM-15  200        3.1      6     True   -8.0   \n",
       "20141211  20141211   750  FM-15  250       12.4     24     True    7.0   \n",
       "20141227  20141227  1050  FM-15   30        7.2     14     True    7.0   \n",
       "\n",
       "          incre_reverse  \n",
       "date                     \n",
       "19870522           13.0  \n",
       "19870820            9.0  \n",
       "19870912           22.0  \n",
       "19871016           13.0  \n",
       "19880104           10.0  \n",
       "19880117           -7.0  \n",
       "19880205          -12.0  \n",
       "19880210           13.0  \n",
       "19880216            8.0  \n",
       "19880223            8.0  \n",
       "19880312          -16.0  \n",
       "19880315           12.0  \n",
       "19880331            7.0  \n",
       "19880521          -14.0  \n",
       "19881009           14.0  \n",
       "19881118           13.0  \n",
       "19881121           10.0  \n",
       "19881130          -10.0  \n",
       "19881218           14.0  \n",
       "19881228           -9.0  \n",
       "19881228            8.0  \n",
       "19890112            9.0  \n",
       "19890128          -10.0  \n",
       "19890129           11.0  \n",
       "19890218            7.0  \n",
       "19890224           -7.0  \n",
       "19890308          -13.0  \n",
       "19890309           10.0  \n",
       "19890318           10.0  \n",
       "19890322           10.0  \n",
       "...                 ...  \n",
       "20090730           12.0  \n",
       "20100106            7.0  \n",
       "20100210           -7.0  \n",
       "20101111           10.0  \n",
       "20110512           -8.0  \n",
       "20110610           -8.0  \n",
       "20110705           -8.0  \n",
       "20110803            7.0  \n",
       "20110803           -7.0  \n",
       "20111207            9.0  \n",
       "20111222            8.0  \n",
       "20120103           -7.0  \n",
       "20120606           13.0  \n",
       "20120606           -8.0  \n",
       "20120616           24.0  \n",
       "20120621            8.0  \n",
       "20120802           14.0  \n",
       "20120815           13.0  \n",
       "20130426            9.0  \n",
       "20130513           -7.0  \n",
       "20130917            8.0  \n",
       "20140123           11.0  \n",
       "20140331           -7.0  \n",
       "20140623           11.0  \n",
       "20140718           11.0  \n",
       "20140821            8.0  \n",
       "20140823           -7.0  \n",
       "20141027           -7.0  \n",
       "20141211            8.0  \n",
       "20141227            7.0  \n",
       "\n",
       "[268 rows x 9 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### Summary of artifacts, which belongs to FM-15\n",
    "# 3 types are handled:\n",
    "# 1. Sudden increase in speed, e.g. 5, 50, 5. the 50 is detected\n",
    "# 2. Strange wind direction record, e.g. 61, 78, 127, since wind dir are setcored into 10 degree\n",
    "# 3. Speed not near an integer after converting back to knot, e.g. 23.4, 7.75\n",
    "\n",
    "artifact = df[(df['artifact']==True)]\n",
    "print len(artifact)\n",
    "artifact"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0xcd2b898>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XgT2laxG10l1Uutah9ojvBNaWrguAz6Dk6c+gYnIvQa2Yl6CMaQZ4FthWuo6g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\nIiKSIQZoIiIiGWKAJiIikqH/A89zip9mSLMAAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb030c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pylab\n",
    "from matplotlib import pyplot\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "# new_set = [df['incre'],df['incre_reverse']]\n",
    "X = df['incre']\n",
    "Y = df['incre_reverse']\n",
    "\n",
    "plt.scatter(X, Y, alpha = 0.3)\n",
    "# plt.contour(X, Y, alpha=.75, cmap='jet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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awiSkQVr0wDabTdf7NUxy8SRjE9JwpJE5I8nCW4btmdvv+sg8X4k86vV6rPEG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Y9m3Y/GjRuhceNG7P/5L75CocCmTTsQHR2LTp18MGBAbzZkTRsafezIAwcMC8MTZGZmciYG/pj1\nrfpHjKiGpKR0tGunW8tHFgVEbFwstoC9vb1eQhGgJbmo1eoc7+gJNBoZnJ2dzSrB6d79O3TvLqy3\nygdh6gqFQWkPnjY4o0cPw7BhA9lQu9BCh74P+jwcApqVKRaLERt7Ac+evcejR8/NNpiWlpZsPksf\npkyZjZ07D2LKlLHo27cna0ysrKx0mjvzDc727asFWbn0mF6/fo3ff4/GoEF99Mrg0TKR9Dt16NA2\noz1JDcGQMpZQGDc5ORnh4eEoWrQo3NzccObMGUyYMAF9+vT54iSZLVu2oEKFCqzoxr+xrtJciDS5\nrVT/D4Gs2DUaDT58+ACplOnnR78wJPxKPEpae5aeyEwRSSf76+tFCXC90IcPH2HkyOmoWLEUNm5c\nwW6TGzKRPpjjhdJjvn37DvbuPYbJk4NQrFgxnZwUDWPiCkIIDAzD4cMn8NNPs9Cjx/c6Yzams2sM\nLi79kZUlgp+fB/bvn6czTqH6PP6YTM3vmoO3b99i8OBZsLGxxu+/L9AR7M+Nggyg9XDevn2L5s07\nws3NDUeO7ORsQxtPUi4CmNcpR61WY9685ShXrjT69etl9nU+f/4cTk5OnPSHkEduzODQYyK/07x5\ny3Dq1DWEhvqjc+cOOsfTx0QtaPAXJhYWFnj37h3CwsJw//59TuTLxcUF48ePR8+ehmtVCwpv3rzB\n5MmTMXLkSGzcuBGRkZFo164dtm3bxpJ4BgwYgGPHjn2R6ysoFHqY0M0navNbhlV66NyGWCxmDZY+\n3LoVDze34iwJRp+yCt8LdXYuhp49/dCoUX226S2t3mIOmUgIx4+fQGDgVDRtWh8bNqzUu51QvtDb\nuyEn70NPamQiO3XqLH7+eTsaNKiAkJDRRsUVaPz660/49VdtPofsyx9zdna2WTV8BJMmNUNs7C1s\n3jxR5zsSUtOGYMH+bvTvxa9zpQ1o3bpt8OJFMnbtWo62bVubfF2urq44dOgXZGZmsq26hCbvrVv3\nIC7uCqZNGwt3d+MMWOLhlCpVCvfuXWPrhvXlDgnI78po7Rpv45acnIyrVxOQlPTeLINJDJajo2NO\nrlrYYL158wYtWnSCp6cnjh/fo5c5LWRIx48fgeBgEcvKJb8ViRKR/OyePQfxzTflOVGWgoAhI52a\nmoqUlBSEhISgZs2aiI+PR3x8PBISEvD27dsCvS5DmDdvHsLDw1lREAD/yrpKc1FoMHNA6hIJ6GbO\nxFMiXiW/V6QpxdJpaWkYPHgc7O3tcPr0IZ3v6XwHMdDEC7W0tMSQIf0FJ2diZF6+fAl//zCULFkU\nv/0WadbY27ZtjQcPDE/mKpUKT548YcOPpqy8yeRcoUIZVKvmgf79e5oU9uR7bIRoQsbLZ0ZGRm7E\n/PlLMWBAb8ydG2HW2MPCAqAvakRC8hcuXMaaNXvQtm0jDBnSjzNmWrZQyBuNi9vPKZnQF/bkgw4J\nGvKwHj58jMxMBZtTNwdisZhdtJFjazQaTledPn2G4e7d+9ixYw2qVKnC2ddQtKBEiRLYv3+d0Ws4\ndeoMTp8+j7Fjh8PR0VGHVKcvz1uiRAlcvCjchFwfAYcf0dEXNZBKpZDJZNi6dT+cnZ0K1GAaKhdZ\nvXo1jhw5gs2bN6NixYoAgEaNCtZ4m4LY2Fi4uLigatWquHTpkt7tvnTIuCBQGJIFMzEmJSVxPitW\nrJigSg9NAjBXpccU3L9/H46OjnBzc+N8TodrAHDyqADjYe3atQ9VqlRGkyY+ZudC9YHkC2/duoW+\nfcegUqUyOHJkd76NmXgDT548QVjYYnh4FMOPPwrXnRJmZG7DnnK53CRGLp/Kf/bsBURHn8S4cf6o\nXdu4gLVQiJD/mtFhz9Wr12PJkpUYNqw/pk4N15G1y2tI8NmzZ5g3byW+/7412rfXvzDSZ6QzMzN1\nSF/6wp58QpGx6w4NnYH7919h4cJQuLuXyrcxE/TrNwZXrz7GmjURaN5cS+oh7w7d4UMIQmUg+XFd\nhspFXr9+jaCgIPj4+CAiIiLX4feCwtKlS3Hw4EF2ESiTyeDn54fbt29j69atbEh24MCBOHr06Je+\n3HxFocHMwcePH9miZLVazRadE8NEP9x5zSPpg1wuR6NG7WBpaYHz548JGmn6xTI3F6pQKNCz50jY\n2lpi794NRq+H3x+TjNnQhPHx40fY29ubfW+Sk5Px00+R8PVtgtatWyArK0tw9c8fk6keW2zsaXTp\nMgIlS7rjn39i9G7HJ2/pazbMR1paGkJC5qJMmeKYPp3rsgqVTPDzu2QiJp8b87DMQXT0IezadRK9\ne7fF99/rdv7gP2OmGCx6TDt27Ma0aYvQoUMrLFgwgzMmY3WHpnT4kMvlmDdvGdq2bYFGjbzNGrta\nrcbTp09Rvnx5neuniWOWlpZsZIdeFAj9TsaYxqZck75ykX379uGXX37B8uXL4ePjY9ZxvwQuX76M\nDRs2IDIyEosWLYKTkxMCAgKwZs0apKWlFZJ+/qsgOcGMjAxOjo2wIgnM0arMC/hGmg5Fvn79GlKp\nVJBtKJQLJT+xSqXC77/vgaurCzp1aq/XEzDWH1MfsrKyUL++L2xsrHD58qlc3SN9RpqEbUeMmAyV\nKhurVi3gHD+v5BsygZIcsSnkLRovXrzArFk/o169mhg1yt+k85lCKCK/UXJyMlq06AQPj9L46y/d\nkH5uQe63SqXCsmVrYG9vg/DwsWYfJyMjAzY2NjoGhz+90KFcetyGnrHY2DNYuHAjGjSoitmzw3M3\nUAr0okgkEuH58+fo0SMM1aqVQXT0Gs62ht4noTEZW8DJ5XI2vUA/Y2lpaZgwYQJsbGywbNmyXPUK\n/RKgDebHjx8xfvx4JCYmsnWV2sbo/w0UGswc7Nu3D+XKlUOFChWgUqmQmprKFqTTDz8/x2aKd2Mu\n6FU3n/2q0WjQuHFbZGZmssXfhmCOF0pq2fz9xyEtLQ1btqyAs7NzviuIZGdn65CeDHnSBCqVCrNn\nL4arqxtGj/Y3SFIxxxMg91ulUqFZs/ZQq9W4cSOuQEJhixatxKNHz7Bs2UxWM5ZeFPHLJmio1WpI\nJEyfUX2lOqaCf7/VajVGjZoMFxcX/Prr3LwNknce8js1auQHlUqD2NhDOqL/JOeYl7Dnn3/G4unT\nJxg0qJ/ge8FfhNKC6S9evICdnZ1J8mxCtZR8CBlQfncR8k6fP38eERERmDJlCrp06WL2uAvx+VBo\nMHOwceNGxMbG4t69exCJRMjIyIBcLkdERAQ6derEWWkK5aP43k1uYIrRMBVpaWmQy+Usa42GsVXz\nzp3RkMmyMHLkoHzLhdJo2rQ9kpOTERd3HM7Ozno9aXNAj2nx4lW4ceMfRESM5ITiaI+NTGJ0P8G8\nso1NQWjoDGRlqbB06TQ2qqGvJEiIUCQUIqSfve++640HDx7i6NFdqFy5ss75+Uxnc+/3pUtXsXv3\nYYwdO0RHktEYFAoFkpOT2bZX5D0xFPY0VUIOAAYNGoeXL5OxY8cvOs+9oTBoXmFqaQvALBYfPnyI\nSpUqwcnJCfPmzUNCQgLWrl2LEiVK5Mv15AZyuRz9+vVjn8m2bdsiMDDwX9nkuSBRaDApPHjwAKNG\njcKLFy/g4OCAZs2a4ebNm5DL5ahZsyYaNGgAHx8fuLu7c1bOea03NBR+zS1at+6KFy9e4cSJvfDw\n0BUyJ+CHX41NYmQCmz79J9y+/RBz5gShdu3aubpGfr6QH+42laTDx88/R+HZs0T8+ONEjlyhvkkM\nYPJ2lpaWJi12+vcPwNmz57F+/Qr4+fmadW383JkQcez69ZuIjNyGQYN6oHFjb539+dEC/iusUqnY\n54de7PB/69ykF2bMWIS//36EWbNGo25d0393Q7lKerGzYMEybN68G0OH9kFg4HB2f/5ix9SQO1kg\n0ILpmzb9jg4dWqFChQomX7+5IL9TdnY257nbtWsXVq1aBYBZoHl6eqJr166oU6cOvLy8viizlAiE\nqFQq9OnTB1OnTsXx48fh5OTEihH8F/OS5qDQYFKIjo7GtGnT0L9/fwQGBrIrKYVCgZs3b+L8+fM4\nf/48nj17hhIlSqBhw4bw9vZGnTp1dGrZ+KBfdjo8aCj8WpAgE3dycjIcHR0NTmJCXuj+/Ydw585j\nTJsWzDbXNUediK47EzIaQ4cG4uTJM/jll/no3Lljvo2ZlATFxV3Cpk370blzc3TsqNXJzY24gqng\n/9b6vJzIyM34669rCA4eYLApNxmTMe+GTyjauXMv5s1bgW7dOmDp0nlCh80T1Go1Fi5cAW/vOmjZ\nsrkOucaYF//kyRN4enoaDLkDxmt4hQTTY2JiMXduFHx8qmPJktn5OGouhMpFxGIxUlJS8PPPP+Px\n48d49eoV0tLS2H3mzp37xYQIaGRmZqJfv36YOXMmwsPD//NiBOag0GDyYKpXk5iYiLi4OJw/fx7X\nr18HANSuXRsNGzaEj48PihcvbpBtxy8LKYgSFX0gnt3QoYG4fPkGVq5ciPbtjWtv8sODhhi5EokE\n0dFHsGfPSfTo4YtevboC0C1dMCb2kF/ge/GHDh3HiRMXERw8CNWrVzUpH6VvYhbC7t3RCAubgQ4d\n/LBq1VKDsna5gVqtxvTpC1Gpkif8/fvqjNUYoSg9PR1OTk5sPjQ/Fwa3b99GaOgiVKxYGgsWTGYX\nCLa2trnOC9MLg6ysLDRt2hFWVtb488/dgvKAADhykUSLtaBhqFzkzZs3GDduHGrVqoWZM2dCKpXi\n5cuXiI+Px+PHj9G9e3eTBOwLCmq1Gt26dcPz58/Rr18/hIaGokGDBrhy5Qq7TcOGDXH58uUvdo1f\nGoUGM5+QnZ2Na9eusV5oYmIiypQpA29vbzRs2BA1atSASMS0+0pKSoKTk5NOyJX2QAuCTGSKZycE\nfYsIY17on3/+hePHz2LKlDFwd3fnqBPlR63d5s3bMXXqPHTv/h2WL1+gdzs+K9KQF09PzBkZGYiI\nWARPzxIYNWowu42pxC8ilE4vEPKrHOnx48cIC1uAihXLYNGiqYLj4IciiUKRoTpKelFQv34LAGJc\nuRJj1jULlWwILRBu3bqNixevYcCAXmaLiCcnJyM9PR2enp6cRRx/OqNFDPJ7YcCHoTzpkSNH8NNP\nP2HJkiX49ttvjRzpyyIjIwNjxozB1KlT0a9fP46B9Pb2NihW8F9HocEsIGg0Gjx79gxxcXG4cOEC\nbt68yYogpKSkoFGjRli6dClEIpFeQkd+6ZQKSdqZ6tnNm7cEkZGbMHr0EEyaFGx0ezq3ayiURtqd\nJSUlISJiKWrXrozgYN0+hHmBKflCQ7h//wGmT/8ZXl5VEBIy0uDEzGfkknMbqm1UKpWoW/dbSKWW\nuHYtNt88IDoUee7cJVy/fhNBQcPh5OTEbkMvDPRFQUhReqlSpUxmhNOhSGPkmhEjwnDnzhOsXj0T\nNWsaF4QwBoVCgU+fPgFgDOWqVeuwZcsR9OrVGsHBo9jtchMxMAZ95SIymQyTJ0+GUqnEihUr/jVl\nFitXroSNjQ127979nxcjMAeFBvMzQKVSISIiAvv27YNIJIK3tzcyMjLw+vVrVKxYkc2FVqlSRYfU\nQSM37EESwspP5RhTQU+eADNRkUUDwd9/38LatbvQsWNz9OjROd8YuSRfmJKSAj+/rnB1dcGFC8JS\nauaCnzfcvn0v7t69j9DQUTpNl415tMQrIczRvF4XHQ6USqUIC5uFx4+TsGrVDFSoUN7o/sYIRfxy\niXnzlmLbtkMYPrwHAgMDOIsTUrKRV+zffxj16tXWS17Tp8WqUCjw558n0apVS7bu05AYgTlCGPS5\nMzMzBctFrl69ivDwcISGhv5f5CYN4f3797CwsICDgwOysrIwdOhQBAQE4PLly3B0dPxPixGYg0KD\n+Rnw/v17tGzZEpUqVcKMGTPY1bRGo8H9+/dx/vx5xMXF4e7du7Czs0ODBg3g7e2NBg0acBofkxAf\nDX1yZHzvSiqVwtraOt9rKgHg9Omz8PcfgwYNvLB79yajoV9jXih/YSASiTB79rSpYUwAACAASURB\nVDKoVHLMmTPZ4GQmVJpDQpEFJTE2fHgoUlMzsXr1HFhaWupMyAS5jRgEBobh6NEzmDNnAvr2FZ54\n6XAgYLpCEdk3MnI92rRpyWqWAqYRijQaDW7duoVatWqx5yKdffIDN2/exNChk1CpUmn8/vtane9N\nUQrigy+uYEiMwFAol5arpJntSqUSixcvxtWrV7Fu3TqTRPG/NO7du4dJkyaxDSY6dOiAUaNGfRVi\nBOag0GB+JshkMtja2hqdwFJTU3Hx4kXExcXh8uXLSE9PR5UqVdhcaIUKFXTINzSInB/tyRGyxefw\nKvmkHnMmMH0Lg+zsbIwdOx3Ozs5YtmyG4AQmFHY2J1/YoUNP3L//GPv2bTI7PMjPF5LJk4TblUol\n3r17h5UrN6BPn+9RtmxZAKaLK6jVajx79gzlypUTPDffqzRHoQgAjh49jrlz16JBg2+wfLnhnqnm\nKt8QIfGmTTvB0tIKp0/vzzctVnpBmJWVhVevXsHLyytXxxIyonzQzGl9bc8ePXqEoKAgfP/99xg7\nduxnIRoJ4c2bNwgPD0dKSgrEYjF69uyJgQMHFtZV5hGFBvP/HCqVCgkJCWwu9MGDByhatCgbxvXy\n8oK1tTVUKhVkMhkUCt3OFQWRs+GDT+Hnh34VCgXq1GkCCwtLXL9+xug1mOOFisViyOVynD17ASdO\nnMb48QHw8PAwe2L+8OEDihYtatY+xmpJCVasiMSBAxfQq1cLDBrUV2/EwJx6Q/rcT548Qd++Y1C+\nvCcOHzatMbe5+Oeff5CamgZv74Y64yZj1kcounfvHj59kqNJE+88P4P8PKmtrS1GjJiI8+cfYNmy\nILRrZ3obNX0wRTQCAE6cOIHU1FTUrFkTt27dwq5duxAZGYkaNcxrrJ3fePv2Ld69e4eqVatCJpOh\nW7duWLVqFaKjowvrKvOAQoP5L8S7d+9w4cIFnDt3DlevXkV2djYcHR3x6tUrZGZmYuXKlfDy8mJz\nUsbUYfLCyDVHdEGtVkOhUOSqb6UxLxQAIiLm4/HjZCxYEILq1avmOyNy/frNmD8/El27+mHRotl5\n9uwArsyaUqnEH3+cQMmSLqhVqxa7jdBvJXTuhIQEODk5oXTp0vk2ZhqdO/fD8+dvEB29Fs7OzgCE\niVSmEIqEnsH167dh8+Yj+O67xpg4UVfP1pC0XUGD79GSc3bv3h3v3r1jP6tcuTLq1KmDVq1aoXnz\n5gV+XaZi9OjR6N+/P2bPnl1YV5kHFBrMfzmePHmCcePG4d69e7CxsUHDhg0RHx+vI6wglUqNsjzN\nlfcrCNGFWrV88ezZW6xZMwM//NBD73Z8QhFfJB8QJkmpVCqsWBGFzp3bcvJ1puLOnTuoWLGiUVm7\n3EAmk6Ft2z6wsbHC4cPbDHo2BOaq9QwfHoybNx9i4cIwtGxp3oTOL8/Rx4BNSEhA5cqVdfpRGssb\nvnv3Drt2HcDQof3ZvqtkXAUpbWcM+s6t0Wjwxx9/YO/evXBzc0NSUhISEhLYZuZ///13gXAGzMXL\nly8xcOBAHDp0CC1atCisq8wDCg3mvxwrVqzAypUr0b17d4SFhbHi0aYKK5BJzBx5v9zWc5oClUqF\ne/fuoVq1aoLfGzq3KV7o3r0HsX79QTRrVhtz5042yws1pUxFoVDg22+/Y/N1+XFPiLdGZNY+ffqE\nO3cSUK+eF3t8U8Puz549w9mzF9C/f2+Tzy/k2en7vY8ePY5x42bC27sWtm6NMnhMU5sCAGBD/VKp\nFEFBM5CS8h5btiyDo6OjyeMwF/zcNB1FyMzMxNSpU5GamoqVK1eyoXyFQoF79+5BKpVyGm5/Kchk\nMgwYMACjR4+Gn5+fjoH82usqzUWhwfyXQ6FQ4O3btyhVqpTB7fQJKxAvlAgrGFO8IXkqoOD6guoD\nmbx27NiDpUs3o3Vrb/zyyyKD+5jLyCVjvHr1OuztbdlJz1RZOwCIj49HZmY2Gjasny/j5nt2kyfP\nQkzMFUREjESPHl3zPez+9OlTDB8+HWXLuiIqajHHuyIebV6hUCigUCg4ZTimLHjEYjG2bt2J9+8z\nMHlyUIEJERgqF7lx4wZCQ0MRGBiIfv365fu58wtKpRIjRoxAs2bN4O/PtJxr3759YV1lHlBoML9S\nCAkrWFpawsvLi2XkFi1alJ24srOzdTyK3Apimwt+qYhUKsXly1fRqJG3DsHJGEyZlBlafW8olWqc\nO3cYKpUqXzrI0Jg3bxmOH7+CQYPaY/DgAXqv1VThBaGQZ3JyMhvaBPSXIPGRnp6O1as3okaNqmjS\npCGA3Odo9aFz58G4ffsJdu9einr1dJmtxKMljGcioq+PvZqfpDZ95SIqlQrLly/H2bNnsXbtWnh6\neubpPAWN8PBwFC1aFJMnT2Y/W7x4cWFdZR5QaDALwUImk+HKlSusEU1JSUG5cuVga2uLK1euwNLS\nEnv27IGdnR3rufGRn/J+/FIRc7q4KBQKtG7dC5aWUhw7ttPgJGqKOhHAGCyivUrEzJ8+fcppIWYq\nHj58iF27DiIkZLSg0TdHMUcIiYmJaNmyC4oVc0JMzAGD3jW/YJ+fs9OXo42K2oKYmCsYObIHfH3z\nh+DCXxzxc7SmEopyI0SgTwBBJBLh2bNnCAoKQps2bRAWFvbFykVMxbVr19C/f39UrlyZXRgFBwej\nVq1ahXWVeUChwSyEXiQkJCA4OBhPnz6Fra0tqlevjuTkZI6wgr29vUHqfW6L9fPaikqj0eDYsT+h\nVovRsaN5ZQb8kgkhiMViTJ36Iw4dOoXw8ACMGDE03+sLP336hLFjZ8PR0Rrr1i3Ll2ML1VCSon8A\nrOgFYLzN3G+/7cbZs1cxb95EkxovGwNdwyuRSPD27Vv4+XVF6dLuOH36iNFxGRMiMPQc0gsUOtWg\n0Wiwc+dOrF27FqtXr0adOnXyPM5C/HtRaDALoReDBg3ChQsX0LNnT4SFhcHJyQmpqam4dOkSzp07\nl2thBUPyfvlRiG8Oli2LwqlT1+Dv3xHdu3dmc5UkFGhra8tK+uUmFwqY3gGHnycFgAULfkG5cmUx\nfHjB5MrGjAnDgQPHMG1aCHr37q7zvaniCvqgVqsxefICWFtLMGvWRMFtDHl25Bjm/P7mEIoIWUwo\n5P7+/XuEhISgRIkSWLhwodkC8fmJKVOmIDY2Fs7Ozjh06BAAFIoQfAF8NQbz119/xa5du9j6seDg\nYDRr1gwAEBUVhb1790IikSAiIuL/vpvA58KLFy8gk8kMsv3UajXu3LnDkokMCSsYk/cj9YUajSZf\nyzUM4fTps9i//yRmzAiGhYWFyR6tqQSVDx8+wNe3C1xcnHHhwgm9HVLy0v4rJuY0tmw5CH//zmaH\nRoVUiqysrDgLhLyIK8hkMowYMRFubiWwZIluVxW+tB1ZoOQ3+L+XUDTk2rVrOH36NCpXrgy1Wo11\n69Zh7ty5aNu2bb5fj7m4evUq7OzsEB4ezhrMxYsXF4oQfGZ8VQbTzs4OgwcP5nz+6NEjhIaGYs+e\nPXjz5g0GDx6MP//887MUQ/9XwRdWkMvlqFGjBmtEPTw8DHqhADgtmfKaCzUEfbJ29KQtk8kQHDwH\nrq6O+PHHyfoOlSsvlIR/zdFC5WPNms04c+YGJk4cYpasn1CDZaEFSlZWFurUaQpra2ucPfuHYF0o\nn5FrzCPkLxIyMzOxYsV6DBzYvcDLMfi/OZGTjIqKwrZt29jtrKysUKNGDdSrVw/Dhw//4rm+V69e\nYeTIkazBbNeuXaEIwWfG56kH+D+B0NogJiYGHTp0gFQqRenSpeHp6Ylbt26hdu3aX+AK/xtwcXFB\np06d0KlTJwCMF3Hz5k3ExcVhzpw5ePr0KSus4ODggH379qFYsWJYunQp693wGx8XhLyfqbJ279+/\nh1Iph7OzYdk8sVgMsVjMknOEvFDyhzBfCUJCpuLEiVjMnTsZAwf2FTq8XgQE+CMgwN/odr/8sh4W\nFiIEBAxiPTvAeNjb2toat29fQGZmJhwcHARl4/i/l6E6XqF84a5d+3HlyiOULHmuQA2moXKRNm3a\n4MqVK6hTpw4rKv/333/j2rVrqF27Nvz8/ArsunKD9+/fw8XFBQDg6uqK9+/ff+Er+u/jqzKY27Zt\nw4EDB1CjRg1MmjQJDg4OSEpK4iTyiWJHIfIPUqkU9erVQ7169TB2LCN5lpCQgBkzZuDWrVsQi8Vs\nDsbLyws+Pj5wc3NjJ2R6YiYeSV7qDM3Nk3p4eGDDhqVGjxsXdxH79h3DuHFDWS1b4ikTqNVqyOVy\nHYO5dOlcZGZmwtbWFjKZLN+YxgRyuRwnTpyDlZUV+vfvxS4STO1qIpVK2fwY7SnT41q5ci1++WUb\nOnT4FrNmTWKlEAnI9rT+LAk9Dx/uj+HDjRv9vIBfLmJra8sqRK1cuRLHjh3DunXrOKxnmUyG169f\no0KFCgV6bfmBwqhYweM/ZTAHDx7M6jrSCA4ORt++fTFmzBiIRCIsW7YMCxYswI8/Gu7MUIiCw4oV\nK1hPfvbs2ShXrhwrrDBhwgRBYQXSJYIYT1L8TmCKvB9fBCA/86SHDp3AvXuv8e7de8HejYQBS+cq\n6XwhyaHyvVDC8MzIyECLFp1RtGhRnDv3h1nXZmFhgT17opCVlQWVSsUxGDSUSiV27tyDjh3bcRpO\nG4NYLMaYMcPRoEFteHl5wcLCQkcnlx+iVigUrPEqyNC7IVLRq1evEBgYiKZNm+LEiRM6+VM7OztU\nqlQp368pP+Ds7Ix3796xIdn8YCoXwjD+UwZz48aNJm3Xq1cvjBw5EgDjUSYmJrLfvXnzBm5ubgVy\nfYXQYtCgQWjXrh06derETlKNGzdG48aNAXCFFXbs2GFQWEFf3pAOC0okEigUigKR8yNYsGCa3u9o\n72b//iOoV68W29GCGEQCoVwoYdpGR2+CWq02yws1p0Rn9eoN2LDhAO7ff4pZsyaZNX6xWAwfHx/2\n/zQLlW4iPmxYKF6+fIvFi8NRrVpVnUWPKeIKpkJfuQgA7N27FytXrsSKFSvQsGHDXJ/jc4GfUvL1\n9UV0dDQCAgKwb98+tGrV6gtd2deDr4b08/btW7i6ugIANm3ahPj4eCxZsgQPHz5EWFgYdu3ahaSk\nJAwZMiTXpJ8NGzZg0aJFuHjxIrs6L2Tg5h+EhBUqVKgAb29veHt7o2rVqjpejRCkUiksLS0/S49Q\nfs7s1atXGDw4HCVKFMWBA1tNPoYpjFxiPH/5ZQ12745Fjx7NMW7cSE5to6nCD8aQmpoKhULB5tCE\nQBtqWnzh6tVruHTpb4wePdRog+q8iBDQYXc6/JuWlobQ0FA4ODhgyZIlsLOzy9vN+AwIDQ3FpUuX\n8PHjR7i4uCAoKAh+fn4YN25coQjBZ8RXYzDDw8Nx9+5diMViuLu7Y/bs2ezLHhUVhT179kAqleba\nqL158wYRERF48uQJ23OukIFbsNBoNHjw4AHi4uIQFxeHu3fvws7ODvXr14ePjw+qV6+OAwcOICUl\nBf7+/oI1agUp78dvpm1OyYRSqcSzZ8/05s4MMXKTkpIQHX0YAwf2Zo0Bv7Yxr2jTpjuePn2OI0e2\n64QsDYmWG4OpDaoNiRAY6mwSFxeHqVOnYurUqSwprRCFMBVfjcEsaIwdOxZjxozBqFGjWIO5Zs0a\nAEBAQAAAYNiwYQgKCipk4BYgiLDC7t27cf78eSiVSpQqVQr+/v6oU6cOKlasaDCvZkxYwRTwvcrc\nGKtRo4Jx/HgcZswYD39/46xZmrlKWo/xwTc0wcEzkZiYjKio+fmW/zLWSDy3xzS1XId4lgDXUMvl\ncvz444+4f/8+1qxZ83+Xdjlz5gzmzZsHjUaD7t27s3NGIf6/8J/KYX4pxMTEoGTJkvjmm284nxcy\ncD8/HB0dIZPJcObMGUilUgQEBKBFixa4evUqli1bJiisYGNjI1giwSfdmCLvlxevksbq1aZJ4ZHc\nHMn10QbFysqKZYGS8RFjAgAuLkVgbc2EKpVKZZ5JN3xpu+TkZPj5dUWpUqVw7lzuO2KYU65D8OjR\nIxw7dgyVKlVC0aJFsWjRIgwYMACLFi36v4vwqNVqzJkzB5s2bULx4sXRo0cPtGrV6l/BzP3aUGgw\nTYQ+Bu748eMRFRWFDRs2fIGrKoQQSpYsibZt22LUqFGoWrUqAKBevXoYMWIEAK2wQmxsLBYvXmyS\nsAJtaITyaoSJmRev0lzI5XLUqtUEEokE16+fRnZ2tsFcJb9+Mjh4JFv6Qa6bH6KWy+UID/8RtWt/\ng2HD9HdVoT1qQioqX748Hj++abABdm7AL9dRKpWQyWTsd2KxGNevX8fu3bvZfWxtbXHx4kVkZWWh\nf//+rOLX/wNu3boFT09PuLu7AwA6duyImJiYQoP5f4hCg2ki9DFw79+/j1evXqFLly7QaDRISkpC\nt27dsHv37jwzcH/++WfExMRALBbD2dkZCxYsYIlLhWQi/fDx8eGwNfkwJqzw7NkzuLm5sQa0Tp06\nnPZSQh4NAcmZfQ5CkaWlJe7evQyZTMaSWwwxYPXVT/JD1HT95I0bt/DiRTKKFXOEQqHQGZe+Vlg0\nCkoH2FC5SMeOHXHp0iW4ublBKpUiPj6elW+0s7PDsGHDCuSacoOkpCSULFmS/b+bmxvi4+O/4BUV\nQh8Kc5j5DF9fX+zbtw+Ojo55ZuDKZDKWtLF16//au/eYJs+3D+DfFqZzgICCDFCcshRPHCKRyQ6I\njInjEMJhyfg5jCIrvNHyCnagzk1OU4cD3V4yhCk/gswYp4IyTo52yqBT4jwy5zYYwobQMTHqHBSk\nff8gfdZCwVJaSuH6JCb0qbRPlXA/93Nf9/c6isbGRqSkpDCvS8VEutPe3o66ujqIRCJcuXIFMpkM\nbm5u8PDwYIIV7t+/jxs3bmDhwoVD9ixqWt05GoNvgQ5XAfvf/x5FWtr/Yc2aV3Do0Mi3elWl+Kjq\nQKMYSA8M/KyWlJQjIiIMlpYjJyJpw0jbRUpLS5GVlYWsrCy88sorzPc8ePAAjY2NWLJkiV6D1Aer\nqqpCbW0t0tLSAABnzpzBzZs3sWvX0Oxdol80w9QyxfZIL774It58800EBATA2NgYu3fvHtUvTcVy\n9+7ubuZKXSgUUpyfjtna2iI8PBzh4eEAAIlEwgQr8Pl8tLS0MOucwcHB2L59OzMLVUwo0kW832iL\nijZujISX18tqNTwezSxU0cGDuRAKr8PIyAhc7gadZv8Ot13k77//RlJSElgsFqqrq4dURZubm8Pd\n3V0n5zUWNjY2uHv3LvNYLBZjzpw5ejwjMhyaYU5wBw4cwJkzZ2BmZobCwkJYWloiLS0Nbm5uzC3F\n999/H6tWrcKaNWv0fLaTn1QqRUJCAioqKjB9+nQEBgbiwYMHuHHjxpBghVmzZikNnqoaHSs23FZn\nS4viLVBtd/eIivpf3L79B1JTN8PX12fI84q9OoF/gwlGmoVqc7vOSNtF6uvrkZSUhMTERISFDW1T\nNpH19/dj7dq1KCgogLW1Nd566y1kZWXRGuYERDNMPRspzs/Hxwfx8fGIj49HXl4eioqKwOPx9HCW\nRK6vrw+XLl3CypUrkZaWBgcHB+Y5xWCFgoIClcEKg/s0qhvv97SekdqQmPg/EAhq4ePjPeQ5xVug\nLBYLzz33nMp0ouHWQgHljiajWeMdaV/nkydP8PHHH+PatWsoLi6GnZ3dWP4J9MLIyAgffPABoqKi\nIJPJEB4eToPlBEUzTAPR3t4OLpeL0tLSIfs7N23ahLi4uFHdks3IyMC3336LadOmwcHBAXv37oWp\nqSkAKih6GnkW69MoBiuIRCLcunVLKVhhxYoVMDU1VRpoVM3U5AMDMDArNTEx0UnPyOE+g+ItUCMj\nI/D5H6Gn5zEOH84athXZaNZCR5qFSqVSpepjxbD4xsZG8Hg8hIWFgcfj0Ro+0TmaYU5gLS0tzLpT\ndXU100XBx8cHfD4fGzZsgFgsRmtrK1xcXEb12q+++ir4fD7YbDY++eQT5ObmYtu2bWhsbERFRQXK\ny8upoGgY6g5WLBYLHA4HHA6H6cMqD1aora3F559/jkePHmHRokVMRa5isEJvby96e3uVBiX5TFOT\nmdpoqboFymazYWLyDGxsHEbs26lJRS6gPAsFoFTUJA+Ll8lkKCgowLFjx5CXl4clS5bo5PNrorKy\nEtnZ2WhqasLJkyexdOlS5jm6EDV8NGBOYJmZmWhubgabzYadnR1SUlIAjL2YCAATcg4Abm5uqKqq\nAkAFRbpmbm6ONWvWMOvNUqkUP/74I0QikVKwwgsvvICGhgaIxWLs378fL7/8MrNhf7jek9paL3xa\ntF1mZqpGr6sqgOBpfTWBge1YP/30E5YuXQozMzMkJCTAyckJQqEQ06ZN0/hz6gKHw0F2djY+/PBD\npeNNTU10IToJ0IA5gX322WfDPhcTE8NsxB+rkydPIjAwEAClE403NpsNZ2dnODs7IyYmBr29vUhL\nS2M23a9YsQKZmZkoLy9nZqEODg4jztTGEu83ONpO3X6ZmlA1C1UsapI7evQoysrKmO9ZvHgx5s6d\ni8uXL8PT03NCDTryu0CDV7qoUf3kQAPmJPa0giIAyMnJwTPPPMMMmES/hEIhTpw4gQULFmDfvn1w\nc3MbEqxw584dPP/880rBCvJemmOJ95OvVcpkslEFpmvDcNtFAGDz5s2QSCTo7OxEV1cXbt26hVu3\nbgEA9u7di9DQ0HE5x7GgC9HJgQbMSexp/UFPnz6NCxcuoLCwkDmmjf6gtI6jOW9vb2RnZ+O1115j\nBgxjY2O4u7vD3d0dcXFxAP4NVvj666+RmpqqMlhBVU9NOcVgBRaLhb6+PrX6ZerCSNtFrl69Cj6f\nj7i4OERERAAAurq6cP36dfz222/w9vYel3NUpM6FKJmcaMCcompqanDkyBEUFRUprQNpo6CI1nE0\n9+yzz+KNN9546t9TFaxw5coV1NXV4b333kN7ezscHByYWeiyZcuYPZMjxfvJb7/Kbynq8v9mpLXS\n/v5+ZGVlQSQS4cSJE5g3bx7zfbNmzcLq1auxevVqnZ3bSNRtVK+IGtVPDjRgTlHp6eno6+tDVFQU\nAMDV1RXJyclaKSiidZzxN336dHh6esLT0xPAwL99a2sr6urqcPz4cVy/fp0JVvDw8ICLiwsT2bh5\n82ZYWloyA9jgtVBdxPuNtF3kzp072LJlC/z9/VFRUTFut4W1TfHnXxsXokT/aMCcos6dOzfsc9os\nKFJE6zjjh8ViYf78+Zg/fz7+85+BfpryYIWSkhKkpKSgr68P8+bNQ01NDdzc3JjOLrqO9xsc2K64\nXeTYsWPIz89HTk6OQV5IVVdXIy0tDffv30dsbCwWLVqEw4cPa+VClOgfDZhEI7SOY3hMTEzAZrNR\nWVkJFouF6Oho+Pv7o76+HocPH1YZrGBmZqY0eA5eDx1NvN9IaUX37t1DQkIC7O3tIRQKmfVbQ+Pr\n6wtfX1+Vz+nqQpSMHxowiUZoHccwWVpawsvLCzExMUwQ+dKlS0cVrDB476Q68X6Du4soZuAKhUKk\npqYiPT19wuUhUyIWUUTReERnIiMjkZSUhGXLlgHAmNudydXU1GDPnj2QyWQICwtjIgKJ9ikGK4hE\nIiZYwcPDAx4eHnB3d8eMGTNGjPcbXEQkX6/s6enB7t27IRaLkZOTM6GaOsuJRCKsXLmSScRisVhM\nIha12Jt6aMAkWqe4jjNz5kxmHQcYuCo/efIkjI2NNboql0ql8PPzQ0FBAebMmYPw8HDq7DDO/vrr\nL3z//feoq6vD5cuXIZFIsGzZsiHBCvfv38eff/4Je3t7Zo0yIiICDx8+BIfDwc8//4zg4GAkJCTA\n3Nxc3x/rqaqrq1FVVYX9+/cPyXOOjo4Gj8czyHVXoj4aMIlBuXbtGrKzs5kBePAvLjL+5MEK8llo\nc3MzZsyYga6uLvT09DC3WmUyGXJycvDNN9+gra2N+X4WiwU3NzcUFBRM6LXL2NhYBAYGIjAwkFrs\nTVG0hkkMilgshq2tLfPYxsYGN2/e1OMZEcVghZiYGCQmJjL9Qv39/ZGdnY3s7GwsWrQIDQ0NCAgI\nAJfLRUNDA65evYqrV69CIpGgv79fL+dPiVhEXTRgEkK0pqGhARUVFVi+fDkyMjKYwAGJRILa2lqE\nhobCz88PwECqkT6SegbTVyIWMTw0YBKDYmNjg7t37zKPxWIx5syZM6bX3LlzJ86fP4/Zs2ejtLQU\nwEC1aHx8PNra2jB37lwcPHgQZmZmY3qfqWD58uWorKyEg4ODUqj69OnT8frrr+vxzDSjy0QsYngM\nM0KDTFnOzs5obW1FW1sbent7UVZWNuZfxKGhoThy5IjSsby8PHh6eqKqqgovvfQScnNzx/QeU8mC\nBQvGrcG1rqWnp+Off/5BVFQUQkJCkJycDEC5xR6Xy6UggimCin6IwampqcFHH30EmUyG8PBwrRT8\ntLW1ITY2lplhrl27FkVFRbCyskJnZyciIyNRWVk55vchhBguuiVLDI6Xlxe8vLx0+h5dXV2wsrIC\nAFhbW6Orq0un70d079NPP4VAIACbzcbs2bOxb98+WFtbA6AQAqIeuiVLiBrodpvhi46OxtmzZ1FS\nUsK0UQMGAjXkXXS++OILpKSkDGkcQAhAAyYhKs2ePZvZatDZ2YlZs2Zp9DodHR1Yv349AgICEBQU\nxFRaPnjwAFFRUfDz88OmTZvw6NEjrZ07Uc3ExIT5uru7mwmOFwqFKrvoEDIYDZiEYGgrMh8fH5w+\nfRoAUFxcrHFhkZGREXbs2IGysjIcP34cX375JZqamqioSE8OHDgAb29vlJaWMs24Ve3tpS46RBUa\nMMmUt23bNrz99ttobm6Gt7c3Tp06BS6XC5FIBD8/P1y8eFHjwiJra2umbZaJiQkcHR0hFoshEAgQ\nEhICAAgJCUF1dbXWPs9UtnHjRgQFBQ35IxQKAQyEEZw/fx5BQUEoKirS8Sp1wQAAA2FJREFU89kS\nQ0NFP2TKy8zMVHm8oKBAq+/zxx9/4Pbt23B1dcW9e/eoqEgH1O2iExQUBC6XCx6PRyEERG00wyRk\nHDx+/BhxcXHYuXMnTExMhhQRUVGR7rW0tDBfV1dXY+HChQAGbr+Xl5ejt7cXv//+O4UQkGHRDJMQ\nHXvy5Ani4uIQHBzMNBeWFxXJ93lqWlRE1JeZmYnm5maw2WzY2dkhJSUFgHIIgbGxMYUQkGFRcAEh\nOpaYmAhLS0vs2LGDObZ//36Ym5uDy+UiLy8PDx8+BJ/PH/Vr9/b2Yt26dejr60N/fz/8/PywZcsW\nivYjRAdowCREh3744Qe888474HA4YLFYYLFYiI+Ph4uLC7Zu3Yr29nbY29vj4MGDmDlzpkbv0d3d\nzTRxjoiIwK5du1BVVQULCwu8++67YxqQCSH/ogGTkEmiu7sb69atQ3JyMhITEyd9tF9+fj4yMjJw\n8eJFWFhYAKDEHqJbtIZJiIGTSqUIDQ1Fa2sr1q1bBxcXl0lfhdvR0YG6ujrY2dkxx5qampjEno6O\nDmzcuBHnzp2j9UiiNVQlS4iBY7PZKCkpQU1NDW7cuIFff/110lfh7tmzB4mJiUrHBAIBJfYQnaIB\nk5BJwtTUFB4eHvjuu++0Fu0nJ5VKERISgtjYWAD6jfYTCASwtbWFk5OT0nFK7CG6RgMmIQasq6uL\nGax6enogEong6OiotWg/ucLCQjg6OjKPdR3tN1xij0AgQG5uLng8nlbfjxB10BomIQass7MT27dv\nh1QqhVQqhb+/P1atWgVXV1ds3boVp06dYqpwNdXR0YELFy4gNjaWSdIRCARMtFxISAgiIyO1WoU7\nXGLPL7/8gra2NgQHB0Mmk0EsFiM0NBRfffUVJfYQnaMBkxAD5uTkhOLi4iHHLSwstBbtJ18vVLzt\nqq+iIg6Hg7q6Ouaxj48PiouLYW5uDh8fH/D5fGzYsAFisZgSe4jW0YBJCBnW+fPnYWVlhcWLF+PS\npUvD/j19FRWxWCym0wwl9hBdo32YhJBhZWVl4ezZszAyMoJEIsHjx4/h6+uLhoYGHD16lNnnuX79\nelRUVOj7dAnRKRowCSFqqa+vR35+Pg4dOoSMjAxYWFiMOdqPEENCVbKEkFHTVr9QQgwJzTAJIYQQ\nNfw/pvXEPRtL3IIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9b715c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# %matplotlib qt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "# x, y = np.random.rand(2, 100) * 4\n",
    "x = df['incre']\n",
    "y = df['incre_reverse']\n",
    "hist, xedges, yedges = np.histogram2d(x, y, bins=20)\n",
    "\n",
    "elements = (len(xedges) - 1) * (len(yedges) - 1)\n",
    "xpos, ypos = np.meshgrid(xedges[:-1]+0.25, yedges[:-1]+0.25)\n",
    "\n",
    "xpos = xpos.flatten()\n",
    "ypos = ypos.flatten()\n",
    "zpos = np.zeros(elements)\n",
    "dx = 0.5 * np.ones_like(zpos)\n",
    "dy = dx.copy()\n",
    "# dz is the count\n",
    "dz = np.log(hist.flatten())\n",
    "\n",
    "ax.bar3d(xpos, ypos, zpos, dx, dy, dz, zsort='average')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# sample = np.array(zip(df['incre'], df['incre_reverse']))\n",
    "\n",
    "# # Empirical Distribution\n",
    "# from sklearn.neighbors import KernelDensity\n",
    "# from itertools import product\n",
    "# from math import *\n",
    "\n",
    "# X = np.arange(-15, 15, 1)\n",
    "# Y = np.arange(-15, 15, 1)\n",
    "# N, M = len(X), len(Y)\n",
    "# Z = np.zeros((N, M))\n",
    "# for i, (x,y) in enumerate(product(X,Y)):\n",
    "#     Z[np.unravel_index(i, (N,M))] = # count of the number of (x,y)\n",
    "\n",
    "# fig, ax = plt.subplots(figsize=(8, 8), dpi=80)\n",
    "# ax.set_aspect('equal')\n",
    "# plt.contourf(X, Y, Z.T, 10, alpha=.75, cmap='jet')\n",
    "# plt.colorbar()\n",
    "# range(-20,20)"
   ]
  }
 ],
 "metadata": {
  "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": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}