Untitled1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "check_nan = [np.nan, np.inf, -np.inf]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['EOD-MSFT-edited.csv',\n",
       " 'BTC-USD-edited.csv',\n",
       " 'GOOG-edited.csv',\n",
       " 'EOD-DIS-edited.csv',\n",
       " 'EOD-MMM-edited.csv',\n",
       " 'NFLX-edited.csv',\n",
       " 'AMZN-edited.csv',\n",
       " 'AAPL-edited.csv',\n",
       " 'EOD-V-edited.csv',\n",
       " 'TSLA-edited.csv',\n",
       " 'FB-edited.csv']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "old_csv = [x for x in os.listdir(\"data\") if x.endswith('edited.csv')]\n",
    "old_csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(old_csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data/EOD-MSFT-edited.csv\n",
      "data/BTC-USD-edited.csv\n",
      "data/GOOG-edited.csv\n",
      "data/EOD-DIS-edited.csv\n",
      "data/EOD-MMM-edited.csv\n",
      "data/NFLX-edited.csv\n",
      "data/AMZN-edited.csv\n",
      "data/AAPL-edited.csv\n",
      "data/EOD-V-edited.csv\n",
      "data/TSLA-edited.csv\n",
      "data/FB-edited.csv\n"
     ]
    }
   ],
   "source": [
    "old_csv_filenames = []\n",
    "\n",
    "for filename in old_csv:\n",
    "    print('data/%s'%filename)\n",
    "    old_csv_filenames.append('data/%s'%filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Value USD</th>\n",
       "      <th>Drop 7</th>\n",
       "      <th>Up 7</th>\n",
       "      <th>Min 7</th>\n",
       "      <th>Max 7</th>\n",
       "      <th>Mean 7</th>\n",
       "      <th>Mean Change 7</th>\n",
       "      <th>Change</th>\n",
       "      <th>Predict</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>08/01/2018</td>\n",
       "      <td>106.28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>106.28</td>\n",
       "      <td>109.67</td>\n",
       "      <td>108.294286</td>\n",
       "      <td>0.512857</td>\n",
       "      <td>0.20</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>07/31/2018</td>\n",
       "      <td>106.08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>106.08</td>\n",
       "      <td>109.49</td>\n",
       "      <td>107.781429</td>\n",
       "      <td>0.588571</td>\n",
       "      <td>0.71</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>07/30/2018</td>\n",
       "      <td>105.37</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>105.37</td>\n",
       "      <td>108.88</td>\n",
       "      <td>107.192857</td>\n",
       "      <td>0.171429</td>\n",
       "      <td>-2.31</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>07/27/2018</td>\n",
       "      <td>107.68</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>105.37</td>\n",
       "      <td>108.13</td>\n",
       "      <td>107.021429</td>\n",
       "      <td>-0.212857</td>\n",
       "      <td>-1.94</td>\n",
       "      <td>-2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>07/26/2018</td>\n",
       "      <td>109.62</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>105.37</td>\n",
       "      <td>109.62</td>\n",
       "      <td>107.234286</td>\n",
       "      <td>-0.398571</td>\n",
       "      <td>-1.21</td>\n",
       "      <td>-2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Value USD  Drop 7  Up 7   Min 7   Max 7      Mean 7  \\\n",
       "0  08/01/2018     106.28     0.0   7.0  106.28  109.67  108.294286   \n",
       "1  07/31/2018     106.08     0.0   7.0  106.08  109.49  107.781429   \n",
       "2  07/30/2018     105.37     1.0   6.0  105.37  108.88  107.192857   \n",
       "3  07/27/2018     107.68     2.0   5.0  105.37  108.13  107.021429   \n",
       "4  07/26/2018     109.62     3.0   4.0  105.37  109.62  107.234286   \n",
       "\n",
       "   Mean Change 7  Change  Predict  \n",
       "0       0.512857    0.20      2.0  \n",
       "1       0.588571    0.71      2.0  \n",
       "2       0.171429   -2.31     -1.0  \n",
       "3      -0.212857   -1.94     -2.0  \n",
       "4      -0.398571   -1.21     -2.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(old_csv_filenames[0])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date             False\n",
       "Value USD        False\n",
       "Drop 7           False\n",
       "Up 7             False\n",
       "Min 7            False\n",
       "Max 7            False\n",
       "Mean 7           False\n",
       "Mean Change 7    False\n",
       "Change           False\n",
       "Predict          False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Value USD</th>\n",
       "      <th>Max 7</th>\n",
       "      <th>Min 7</th>\n",
       "      <th>Mean 7</th>\n",
       "      <th>Change</th>\n",
       "      <th>Mean Change 7</th>\n",
       "      <th>Drop 7</th>\n",
       "      <th>Up 7</th>\n",
       "      <th>Predict</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-07-16</td>\n",
       "      <td>0.04951</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.03633</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-07-17</td>\n",
       "      <td>0.08584</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-07-18</td>\n",
       "      <td>0.08080</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00606</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-07-19</td>\n",
       "      <td>0.07474</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.00447</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-07-20</td>\n",
       "      <td>0.07921</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.02871</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Value USD  Max 7  Min 7  Mean 7   Change  Mean Change 7  \\\n",
       "0  2010-07-16    0.04951    NaN    NaN     NaN -0.03633            NaN   \n",
       "1  2010-07-17    0.08584    NaN    NaN     NaN  0.00504            NaN   \n",
       "2  2010-07-18    0.08080    NaN    NaN     NaN  0.00606            NaN   \n",
       "3  2010-07-19    0.07474    NaN    NaN     NaN -0.00447            NaN   \n",
       "4  2010-07-20    0.07921    NaN    NaN     NaN  0.02871            NaN   \n",
       "\n",
       "   Drop 7  Up 7  Predict  \n",
       "0     NaN   NaN     -2.0  \n",
       "1     NaN   NaN     -1.0  \n",
       "2     NaN   NaN     -1.0  \n",
       "3     NaN   NaN     -2.0  \n",
       "4     NaN   NaN     -1.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.read_csv(old_csv_filenames[1])\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Value USD</th>\n",
       "      <th>Max 7</th>\n",
       "      <th>Min 7</th>\n",
       "      <th>Mean 7</th>\n",
       "      <th>Change</th>\n",
       "      <th>Mean Change 7</th>\n",
       "      <th>Drop 7</th>\n",
       "      <th>Up 7</th>\n",
       "      <th>Predict</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Date  Value USD  Max 7  Min 7  Mean 7  Change  Mean Change 7  Drop 7  \\\n",
       "0  False      False   True   True    True   False           True    True   \n",
       "1  False      False   True   True    True   False           True    True   \n",
       "2  False      False   True   True    True   False           True    True   \n",
       "3  False      False   True   True    True   False           True    True   \n",
       "4  False      False   True   True    True   False           True    True   \n",
       "\n",
       "   Up 7  Predict  \n",
       "0  True    False  \n",
       "1  True    False  \n",
       "2  True    False  \n",
       "3  True    False  \n",
       "4  True    False  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.isnull().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date             False\n",
       "Value USD        False\n",
       "Max 7             True\n",
       "Min 7             True\n",
       "Mean 7            True\n",
       "Change            True\n",
       "Mean Change 7     True\n",
       "Drop 7            True\n",
       "Up 7              True\n",
       "Predict           True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date             False\n",
       "Value USD        False\n",
       "Max 7            False\n",
       "Min 7            False\n",
       "Mean 7           False\n",
       "Change           False\n",
       "Mean Change 7    False\n",
       "Drop 7           False\n",
       "Up 7             False\n",
       "Predict          False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Date</th>\n",
       "      <th>Value USD</th>\n",
       "      <th>Max 7</th>\n",
       "      <th>Min 7</th>\n",
       "      <th>Mean 7</th>\n",
       "      <th>Change</th>\n",
       "      <th>Mean Change 7</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>2010-07-22</td>\n",
       "      <td>0.06262</td>\n",
       "      <td>0.08584</td>\n",
       "      <td>0.04951</td>\n",
       "      <td>0.069031</td>\n",
       "      <td>0.00808</td>\n",
       "      <td>-0.000719</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "      <td>2010-07-23</td>\n",
       "      <td>0.05454</td>\n",
       "      <td>0.08584</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.069750</td>\n",
       "      <td>0.00404</td>\n",
       "      <td>0.005049</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>2010-07-24</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.08080</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.064701</td>\n",
       "      <td>-0.00550</td>\n",
       "      <td>0.003543</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>2010-07-25</td>\n",
       "      <td>0.05600</td>\n",
       "      <td>0.07921</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.061159</td>\n",
       "      <td>-0.00400</td>\n",
       "      <td>0.002106</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>2010-07-26</td>\n",
       "      <td>0.06000</td>\n",
       "      <td>0.07921</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.059053</td>\n",
       "      <td>0.00110</td>\n",
       "      <td>0.002901</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0        Date  Value USD    Max 7    Min 7    Mean 7   Change  \\\n",
       "0           6  2010-07-22    0.06262  0.08584  0.04951  0.069031  0.00808   \n",
       "1           7  2010-07-23    0.05454  0.08584  0.05050  0.069750  0.00404   \n",
       "2           8  2010-07-24    0.05050  0.08080  0.05050  0.064701 -0.00550   \n",
       "3           9  2010-07-25    0.05600  0.07921  0.05050  0.061159 -0.00400   \n",
       "4          10  2010-07-26    0.06000  0.07921  0.05050  0.059053  0.00110   \n",
       "\n",
       "   Mean Change 7  Drop 7  Up 7  Predict  \n",
       "0      -0.000719     3.0   4.0     -1.0  \n",
       "1       0.005049     2.0   5.0      2.0  \n",
       "2       0.003543     3.0   4.0     -1.0  \n",
       "3       0.002106     4.0   3.0     -2.0  \n",
       "4       0.002901     3.0   4.0      2.0  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.to_csv('bad-idea.csv')\n",
    "\n",
    "df_bad = pd.read_csv('bad-idea.csv')\n",
    "df_bad.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Value USD</th>\n",
       "      <th>Max 7</th>\n",
       "      <th>Min 7</th>\n",
       "      <th>Mean 7</th>\n",
       "      <th>Change</th>\n",
       "      <th>Mean Change 7</th>\n",
       "      <th>Drop 7</th>\n",
       "      <th>Up 7</th>\n",
       "      <th>Predict</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2010-07-22</td>\n",
       "      <td>0.06262</td>\n",
       "      <td>0.08584</td>\n",
       "      <td>0.04951</td>\n",
       "      <td>0.069031</td>\n",
       "      <td>0.00808</td>\n",
       "      <td>-0.000719</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2010-07-23</td>\n",
       "      <td>0.05454</td>\n",
       "      <td>0.08584</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.069750</td>\n",
       "      <td>0.00404</td>\n",
       "      <td>0.005049</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2010-07-24</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.08080</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.064701</td>\n",
       "      <td>-0.00550</td>\n",
       "      <td>0.003543</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2010-07-25</td>\n",
       "      <td>0.05600</td>\n",
       "      <td>0.07921</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.061159</td>\n",
       "      <td>-0.00400</td>\n",
       "      <td>0.002106</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2010-07-26</td>\n",
       "      <td>0.06000</td>\n",
       "      <td>0.07921</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.059053</td>\n",
       "      <td>0.00110</td>\n",
       "      <td>0.002901</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  Value USD    Max 7    Min 7    Mean 7   Change  Mean Change 7  \\\n",
       "6   2010-07-22    0.06262  0.08584  0.04951  0.069031  0.00808      -0.000719   \n",
       "7   2010-07-23    0.05454  0.08584  0.05050  0.069750  0.00404       0.005049   \n",
       "8   2010-07-24    0.05050  0.08080  0.05050  0.064701 -0.00550       0.003543   \n",
       "9   2010-07-25    0.05600  0.07921  0.05050  0.061159 -0.00400       0.002106   \n",
       "10  2010-07-26    0.06000  0.07921  0.05050  0.059053  0.00110       0.002901   \n",
       "\n",
       "    Drop 7  Up 7  Predict  \n",
       "6      3.0   4.0     -1.0  \n",
       "7      2.0   5.0      2.0  \n",
       "8      3.0   4.0     -1.0  \n",
       "9      4.0   3.0     -2.0  \n",
       "10     3.0   4.0      2.0  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.to_csv(old_csv_filenames[1], index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Value USD</th>\n",
       "      <th>Max 7</th>\n",
       "      <th>Min 7</th>\n",
       "      <th>Mean 7</th>\n",
       "      <th>Change</th>\n",
       "      <th>Mean Change 7</th>\n",
       "      <th>Drop 7</th>\n",
       "      <th>Up 7</th>\n",
       "      <th>Predict</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-07-22</td>\n",
       "      <td>0.06262</td>\n",
       "      <td>0.08584</td>\n",
       "      <td>0.04951</td>\n",
       "      <td>0.069031</td>\n",
       "      <td>0.00808</td>\n",
       "      <td>-0.000719</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-07-23</td>\n",
       "      <td>0.05454</td>\n",
       "      <td>0.08584</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.069750</td>\n",
       "      <td>0.00404</td>\n",
       "      <td>0.005049</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-07-24</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.08080</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.064701</td>\n",
       "      <td>-0.00550</td>\n",
       "      <td>0.003543</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-07-25</td>\n",
       "      <td>0.05600</td>\n",
       "      <td>0.07921</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.061159</td>\n",
       "      <td>-0.00400</td>\n",
       "      <td>0.002106</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-07-26</td>\n",
       "      <td>0.06000</td>\n",
       "      <td>0.07921</td>\n",
       "      <td>0.05050</td>\n",
       "      <td>0.059053</td>\n",
       "      <td>0.00110</td>\n",
       "      <td>0.002901</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Value USD    Max 7    Min 7    Mean 7   Change  Mean Change 7  \\\n",
       "0  2010-07-22    0.06262  0.08584  0.04951  0.069031  0.00808      -0.000719   \n",
       "1  2010-07-23    0.05454  0.08584  0.05050  0.069750  0.00404       0.005049   \n",
       "2  2010-07-24    0.05050  0.08080  0.05050  0.064701 -0.00550       0.003543   \n",
       "3  2010-07-25    0.05600  0.07921  0.05050  0.061159 -0.00400       0.002106   \n",
       "4  2010-07-26    0.06000  0.07921  0.05050  0.059053  0.00110       0.002901   \n",
       "\n",
       "   Drop 7  Up 7  Predict  \n",
       "0     3.0   4.0     -1.0  \n",
       "1     2.0   5.0      2.0  \n",
       "2     3.0   4.0     -1.0  \n",
       "3     4.0   3.0     -2.0  \n",
       "4     3.0   4.0      2.0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.read_csv(old_csv_filenames[1])\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "for filename in old_csv_filenames:\n",
    "    df = pd.read_csv(filename)\n",
    "    \n",
    "    df.dropna(inplace=True)\n",
    "    df.to_csv(filename, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data/EOD-MSFT-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/BTC-USD-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Max 7            False\n",
      "Min 7            False\n",
      "Mean 7           False\n",
      "Change           False\n",
      "Mean Change 7    False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/GOOG-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/EOD-DIS-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/EOD-MMM-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/NFLX-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/AMZN-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/AAPL-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/EOD-V-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/TSLA-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n",
      "data/FB-edited.csv\n",
      "Date             False\n",
      "Value USD        False\n",
      "Drop 7           False\n",
      "Up 7             False\n",
      "Min 7            False\n",
      "Max 7            False\n",
      "Mean 7           False\n",
      "Mean Change 7    False\n",
      "Change           False\n",
      "Predict          False\n",
      "dtype: bool\n",
      "\n",
      "---------------------\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for filename in old_csv_filenames:\n",
    "    df = pd.read_csv(filename)\n",
    "    \n",
    "    print(filename)\n",
    "    print(df.isnull().any())\n",
    "    print('\\n---------------------\\n\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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