6.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Combining the positive and negative classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>noaa</th>\n",
       "      <th>complexity</th>\n",
       "      <th>flares</th>\n",
       "      <th>normalized_complexity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>#id</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6075</th>\n",
       "      <td>9753</td>\n",
       "      <td>1174.534727</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.206763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2346</th>\n",
       "      <td>9167</td>\n",
       "      <td>1295.203948</td>\n",
       "      <td>0</td>\n",
       "      <td>0.989350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10898</th>\n",
       "      <td>10528</td>\n",
       "      <td>1439.256041</td>\n",
       "      <td>1</td>\n",
       "      <td>1.224598</td>\n",
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       "    <tr>\n",
       "      <th>8978</th>\n",
       "      <td>10226</td>\n",
       "      <td>1413.661416</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3550</th>\n",
       "      <td>9349</td>\n",
       "      <td>1042.441614</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.516113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2929</th>\n",
       "      <td>9256</td>\n",
       "      <td>1146.595092</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.483710</td>\n",
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       "    <tr>\n",
       "      <th>7835</th>\n",
       "      <td>10051</td>\n",
       "      <td>1357.941952</td>\n",
       "      <td>0</td>\n",
       "      <td>1.611229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7870</th>\n",
       "      <td>10051</td>\n",
       "      <td>1281.968382</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.445289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6604</th>\n",
       "      <td>9830</td>\n",
       "      <td>1425.241469</td>\n",
       "      <td>1</td>\n",
       "      <td>1.075809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3756</th>\n",
       "      <td>9392</td>\n",
       "      <td>1121.968529</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.727816</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "        noaa   complexity  flares  normalized_complexity\n",
       "#id                                                     \n",
       "6075    9753  1174.534727       0              -0.206763\n",
       "2346    9167  1295.203948       0               0.989350\n",
       "10898  10528  1439.256041       1               1.224598\n",
       "8978   10226  1413.661416       1               0.952866\n",
       "3550    9349  1042.441614       0              -1.516113\n",
       "2929    9256  1146.595092       0              -0.483710\n",
       "7835   10051  1357.941952       0               1.611229\n",
       "7870   10051  1281.968382       1              -0.445289\n",
       "6604    9830  1425.241469       1               1.075809\n",
       "3756    9392  1121.968529       0              -0.727816"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_flares = pd.concat([does_flare, does_not_flare])\n",
    "all_flares.sample(frac=1).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## For Assumption 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(12,12), dpi=100)\n",
    "sns.boxplot(y=all_flares.normalized_complexity, x=all_flares.flares)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(12,12), dpi=100)\n",
    "sns.violinplot(y=all_flares.normalized_complexity, x=all_flares.flares)\n",
    "plt.show()"
   ]
  }
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