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a b/cloudCode/Training/datacollection.ipynb
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{
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 "cells": [
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  {
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   "cell_type": "code",
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   "execution_count": 15,
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   "id": "6403d9e0",
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   "metadata": {},
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   "outputs": [
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    {
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     "data": {
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      "text/html": [
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       "<div>\n",
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       "<style scoped>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "        vertical-align: middle;\n",
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       "    }\n",
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       "\n",
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       "    .dataframe tbody tr th {\n",
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       "        vertical-align: top;\n",
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       "    }\n",
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       "\n",
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       "    .dataframe thead th {\n",
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       "        text-align: right;\n",
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       "    }\n",
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       "</style>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "  <thead>\n",
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th></th>\n",
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       "      <th>gsr</th>\n",
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       "      <th>bpm</th>\n",
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       "      <th>mood</th>\n",
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       "      <th>time</th>\n",
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       "    </tr>\n",
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       "  </thead>\n",
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       "  <tbody>\n",
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       "    <tr>\n",
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       "      <th>0</th>\n",
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       "      <td>1712.328767</td>\n",
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       "      <td>86.580087</td>\n",
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       "      <td>Happy</td>\n",
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       "      <td>13:59:22</td>\n",
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       "    </tr>\n",
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       "    <tr>\n",
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       "      <th>1</th>\n",
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       "      <td>1712.328767</td>\n",
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       "      <td>86.256469</td>\n",
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       "      <td>Happy</td>\n",
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       "      <td>13:59:22</td>\n",
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       "    </tr>\n",
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       "    <tr>\n",
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       "      <th>2</th>\n",
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       "      <td>1709.401709</td>\n",
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       "      <td>84.841629</td>\n",
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       "      <td>Happy</td>\n",
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       "      <td>13:59:24</td>\n",
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       "    </tr>\n",
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       "    <tr>\n",
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       "      <th>3</th>\n",
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       "      <td>1712.328767</td>\n",
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       "      <td>85.702043</td>\n",
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       "      <td>Happy</td>\n",
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       "      <td>13:59:23</td>\n",
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       "    </tr>\n",
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       "    <tr>\n",
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       "      <th>4</th>\n",
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       "      <td>1706.484642</td>\n",
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       "      <td>84.281500</td>\n",
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       "      <td>Happy</td>\n",
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       "      <td>13:59:25</td>\n",
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       "    </tr>\n",
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       "  </tbody>\n",
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       "</table>\n",
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       "</div>"
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      ],
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      "text/plain": [
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       "           gsr        bpm   mood      time\n",
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       "0  1712.328767  86.580087  Happy  13:59:22\n",
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       "1  1712.328767  86.256469  Happy  13:59:22\n",
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       "2  1709.401709  84.841629  Happy  13:59:24\n",
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       "3  1712.328767  85.702043  Happy  13:59:23\n",
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       "4  1706.484642  84.281500  Happy  13:59:25"
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      ]
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     },
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     "execution_count": 15,
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     "metadata": {},
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     "output_type": "execute_result"
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    }
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   ],
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   "source": [
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    "import io\n",
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    "import boto3\n",
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    "import pandas as pd\n",
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    "import pyarrow.parquet as pq\n",
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    "\n",
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    "s3 = boto3.resource('s3')\n",
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    "\n",
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    "file_name = []\n",
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    "my_bucket = s3.Bucket('iotproj-sensordata')\n",
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    "for file in my_bucket.objects.all():\n",
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    "    if(\"iotproj_firehose\" in file.key):\n",
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    "        file_name.append(str(file.key))\n",
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    "\n",
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    "dfs = []\n",
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    "for df_gen in range(len(file_name)):\n",
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    "    df_name = 'df_'+str(df_gen)\n",
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    "    dfs.append(df_name)\n",
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    "\n",
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    "frames= []\n",
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    "fileno = -1\n",
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    "for i in file_name:\n",
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    "    #print(i)\n",
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    "    global fileno\n",
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    "    fileno = fileno + 1\n",
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    "    buffer = io.BytesIO()\n",
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    "    s3_object = s3.Object('iotproj-sensordata',i)\n",
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    "    s3_object.download_fileobj(buffer)\n",
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    "    table = pq.read_table(buffer)\n",
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    "    dfs[fileno] = table.to_pandas()\n",
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    "    dfs[fileno].drop('date', axis=1, inplace=True)\n",
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    "\n",
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    "data = pd.concat(dfs)\n",
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    "data.head(5)"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 8,
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   "id": "6da016a7",
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   "metadata": {},
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   "outputs": [
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    {
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     "data": {
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      "text/plain": [
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       "<AxesSubplot:xlabel='gsr', ylabel='bpm'>"
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      ]
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     },
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     "execution_count": 8,
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     "metadata": {},
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     "output_type": "execute_result"
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    },
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    {
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     "data": {
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      "image/png": 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\n",
145
      "text/plain": [
146
       "<Figure size 432x288 with 1 Axes>"
147
      ]
148
     },
149
     "metadata": {
150
      "needs_background": "light"
151
     },
152
     "output_type": "display_data"
153
    }
154
   ],
155
   "source": [
156
    "import seaborn as sns\n",
157
    "sns.scatterplot(data=data, x=\"gsr\", y=\"bpm\", hue=\"mood\")"
158
   ]
159
  },
160
  {
161
   "cell_type": "code",
162
   "execution_count": 76,
163
   "id": "c2c3c206",
164
   "metadata": {},
165
   "outputs": [
166
    {
167
     "data": {
168
      "text/plain": [
169
       "Text(0.5, 1.0, 'Emotion distribution')"
170
      ]
171
     },
172
     "execution_count": 76,
173
     "metadata": {},
174
     "output_type": "execute_result"
175
    },
176
    {
177
     "data": {
178
      "image/png": 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\n",
179
      "text/plain": [
180
       "<Figure size 432x288 with 1 Axes>"
181
      ]
182
     },
183
     "metadata": {},
184
     "output_type": "display_data"
185
    }
186
   ],
187
   "source": [
188
    "data['mood'].value_counts().plot.pie(autopct='%1.0f%%').set_title('Emotion distribution')"
189
   ]
190
  },
191
  {
192
   "cell_type": "code",
193
   "execution_count": 13,
194
   "id": "1fe3c7de",
195
   "metadata": {},
196
   "outputs": [
197
    {
198
     "name": "stdout",
199
     "output_type": "stream",
200
     "text": [
201
      "Stored 'data' (DataFrame)\n"
202
     ]
203
    }
204
   ],
205
   "source": [
206
    "from sklearn import preprocessing\n",
207
    "from sklearn.utils import shuffle\n",
208
    "from sklearn.preprocessing import LabelEncoder\n",
209
    "\n",
210
    "transform = preprocessing.LabelEncoder()\n",
211
    "data['encoder_output'] = transform.fit_transform(data['mood'])\n",
212
    "data = shuffle(data)\n",
213
    "\n",
214
    "%store data"
215
   ]
216
  }
217
 ],
218
 "metadata": {
219
  "kernelspec": {
220
   "display_name": "Python 3 (ipykernel)",
221
   "language": "python",
222
   "name": "python3"
223
  },
224
  "language_info": {
225
   "codemirror_mode": {
226
    "name": "ipython",
227
    "version": 3
228
   },
229
   "file_extension": ".py",
230
   "mimetype": "text/x-python",
231
   "name": "python",
232
   "nbconvert_exporter": "python",
233
   "pygments_lexer": "ipython3",
234
   "version": "3.9.7"
235
  }
236
 },
237
 "nbformat": 4,
238
 "nbformat_minor": 5
239
}