feature_engineering.ipynb

{
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  {
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   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "from statsmodels.tsa.stattools import acf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "(572, 500)"
      ]
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "source": [
    "data = pd.read_csv('data/commodity.txt', header=None, delimiter=',')\n",
    "data.shape"
   ],
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    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
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  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "output_type": "execute_result",
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       "              0           1           2           3           4           5    \\\n",
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       "std      7.888868    1.944908    2.765163    1.303610    2.269636    0.913661   \n",
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       "max     48.000000   15.000000   29.000000   10.000000   20.000000    6.000000   \n",
       "\n",
       "              6           7           8           9    ...         490  \\\n",
       "count  572.000000  572.000000  572.000000  572.000000  ...  572.000000   \n",
       "mean     0.594406    0.688811    0.763986    0.952797  ...    0.615385   \n",
       "std      0.948685    1.208992    1.180058    1.516821  ...    1.058188   \n",
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       "50%      0.000000    0.000000    0.000000    0.000000  ...    0.000000   \n",
       "75%      1.000000    1.000000    1.000000    1.000000  ...    1.000000   \n",
       "max      7.000000   14.000000    7.000000   12.000000  ...    9.000000   \n",
       "\n",
       "              491         492         493         494         495         496  \\\n",
       "count  572.000000  572.000000  572.000000  572.000000  572.000000  572.000000   \n",
       "mean     0.618881    0.365385    2.131119    2.008741    0.459790    0.919580   \n",
       "std      1.344976    0.799118    1.871140    1.820758    0.826525    1.183882   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
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       "max     11.000000    9.000000   12.000000   17.000000    5.000000    7.000000   \n",
       "\n",
       "              497         498         499  \n",
       "count  572.000000  572.000000  572.000000  \n",
       "mean     0.844406    0.393357    2.097902  \n",
       "std      1.351624    0.742145    2.201145  \n",
       "min      0.000000    0.000000    0.000000  \n",
       "25%      0.000000    0.000000    0.000000  \n",
       "50%      0.000000    0.000000    2.000000  \n",
       "75%      1.000000    1.000000    3.000000  \n",
       "max     18.000000    4.000000   16.000000  \n",
       "\n",
       "[8 rows x 500 columns]"
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<td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>...</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n      <td>572.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>8.251748</td>\n      <td>1.867133</td>\n      <td>1.989510</td>\n      <td>0.723776</td>\n      <td>1.863636</td>\n      <td>0.475524</td>\n      <td>0.594406</td>\n      <td>0.688811</td>\n      <td>0.763986</td>\n      <td>0.952797</td>\n      <td>...</td>\n      <td>0.615385</td>\n      <td>0.618881</td>\n      <td>0.365385</td>\n      <td>2.131119</td>\n      <td>2.008741</td>\n      <td>0.459790</td>\n      <td>0.919580</td>\n      <td>0.844406</td>\n      <td>0.393357</td>\n      <td>2.097902</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>7.888868</td>\n      <td>1.944908</td>\n      <td>2.765163</td>\n      <td>1.303610</td>\n      <td>2.269636</td>\n      <td>0.913661</td>\n      <td>0.948685</td>\n      <td>1.208992</td>\n      <td>1.180058</td>\n      <td>1.516821</td>\n      <td>...</td>\n      <td>1.058188</td>\n      <td>1.344976</td>\n      <td>0.799118</td>\n      <td>1.871140</td>\n      <td>1.820758</td>\n      <td>0.826525</td>\n      <td>1.183882</td>\n      <td>1.351624</td>\n      <td>0.742145</td>\n      <td>2.201145</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>3.000000</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>7.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>...</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>2.000000</td>\n      <td>2.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>2.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>12.000000</td>\n      <td>3.000000</td>\n      <td>3.000000</td>\n      <td>1.000000</td>\n      <td>3.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>...</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>3.000000</td>\n      <td>3.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>1.000000</td>\n      <td>3.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>48.000000</td>\n      <td>15.000000</td>\n      <td>29.000000</td>\n      <td>10.000000</td>\n      <td>20.000000</td>\n      <td>6.000000</td>\n      <td>7.000000</td>\n      <td>14.000000</td>\n      <td>7.000000</td>\n      <td>12.000000</td>\n      <td>...</td>\n      <td>9.000000</td>\n      <td>11.000000</td>\n      <td>9.000000</td>\n      <td>12.000000</td>\n      <td>17.000000</td>\n      <td>5.000000</td>\n      <td>7.000000</td>\n      <td>18.000000</td>\n      <td>4.000000</td>\n      <td>16.000000</td>\n    </tr>\n  </tbody>\n</table>\n<p>8 rows × 500 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "source": [
    "data.describe()"
   ],
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    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
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  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "    0    1    2     3    4    5    6    7    8    9    ...  490  491  492  \\\n",
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       "2   7.0  1.0  4.0   3.0  1.0  0.0  2.0  2.0  0.0  1.0  ...  2.0  1.0  0.0   \n",
       "3  15.0  0.0  1.0   5.0  3.0  2.0  0.0  5.0  2.0  0.0  ...  1.0  4.0  0.0   \n",
       "4  26.0  2.0  3.0  10.0  4.0  4.0  1.0  2.0  1.0  1.0  ...  3.0  1.0  4.0   \n",
       "\n",
       "   493  494  495  496  497  498  499  \n",
       "0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "1  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "2  2.0  3.0  1.0  5.0  0.0  2.0  0.0  \n",
       "3  2.0  3.0  0.0  3.0  2.0  0.0  3.0  \n",
       "4  5.0  1.0  1.0  4.0  2.0  0.0  4.0  \n",
       "\n",
       "[5 rows x 500 columns]"
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     },
     "metadata": {},
     "execution_count": 5
    }
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   "source": [
    "data.head()"
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   "metadata": {
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     "text": [
      "/media/gchaozheng/apps/anaconda3/envs/py3/lib/python3.7/site-packages/ipykernel_launcher.py:6: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n  \n"
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "acf_plot = plt.figure(figsize=(8,6))\n",
    "plt.title('Commodity')\n",
    "for i in range(10):\n",
    "    acf_ndarray = acf(data[i].tolist(), nlags=50, fft=False)\n",
    "    plt.plot(acf_ndarray)\n",
    "acf_plot.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python379jvsc74a57bd0c672f8d9b3a494555f7197cb271183ca36e20591932ca8e174cea507579fcebe",
   "display_name": "Python 3.7.9 64-bit ('py3': conda)"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}