analysingData.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_client_1 = pd.read_csv(\"./data/data/node01/data.csv\", index_col=0)\n",
    "data_client_2 = pd.read_csv(\"./data/data/node02/data.csv\", index_col=0)\n",
    "data_client_3 = pd.read_csv(\"./data/data/node03/data.csv\", index_col=0)\n",
    "data_client_4 = pd.read_csv(\"./data/data/node04/data.csv\", index_col=0)\n",
    "data_client_5 = pd.read_csv(\"./data/data/node05/data.csv\", index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "    0   1   2   3   4   5   6   7   8   9  ...  503  504  505  506  507  508  \\\n",
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     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_client_1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "    0   1   2   3   4   5   6   7   8   9  ...  503  504  505  506  507  508  \\\n",
       "0 -72 -64 -60 -58 -57 -57 -58 -58 -57 -57  ... -112 -112 -113 -115 -117 -117   \n",
       "1 -79 -68 -62 -59 -58 -58 -58 -58 -57 -57  ... -102  -96  -91  -86  -83  -81   \n",
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       "4 -72 -63 -60 -58 -57 -57 -57 -58 -57 -57  ...  -99 -107 -115 -119 -120 -118   \n",
       "\n",
       "   509  510  511  512  \n",
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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    "data_client_2.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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      ],
      "text/plain": [
       "    0   1   2   3   4   5   6   7   8   9  ...  503  504  505  506  507  508  \\\n",
       "0 -74 -64 -61 -58 -57 -57 -57 -57 -57 -57  ...  -61  -57  -51  -46  -42  -39   \n",
       "1 -77 -67 -62 -59 -58 -58 -58 -58 -57 -57  ...  -58  -57  -58  -60  -64  -69   \n",
       "2 -73 -64 -61 -58 -57 -57 -57 -57 -57 -57  ... -109 -108 -108 -109 -110 -110   \n",
       "3 -74 -65 -61 -58 -57 -57 -57 -57 -57 -57  ... -107 -108 -110 -112 -113 -114   \n",
       "4 -74 -65 -61 -58 -57 -57 -57 -57 -57 -57  ... -111 -111 -112 -113 -115 -116   \n",
       "\n",
       "   509  510  511  512  \n",
       "0  -37  -36  -36    7  \n",
       "1  -75  -82  -90    0  \n",
       "2 -110 -110 -110    4  \n",
       "3 -115 -116 -118    5  \n",
       "4 -118 -120 -122    6  \n",
       "\n",
       "[5 rows x 513 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_client_3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3200, 513)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_client_1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      0\n",
       "2      0\n",
       "3      0\n",
       "4      0\n",
       "      ..\n",
       "508    0\n",
       "509    0\n",
       "510    0\n",
       "511    0\n",
       "512    0\n",
       "Length: 513, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_client_1.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      0\n",
       "2      0\n",
       "3      0\n",
       "4      0\n",
       "      ..\n",
       "508    0\n",
       "509    0\n",
       "510    0\n",
       "511    0\n",
       "512    0\n",
       "Length: 513, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_client_2.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      0\n",
       "2      0\n",
       "3      0\n",
       "4      0\n",
       "      ..\n",
       "508    0\n",
       "509    0\n",
       "510    0\n",
       "511    0\n",
       "512    0\n",
       "Length: 513, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_client_3.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      0\n",
       "2      0\n",
       "3      0\n",
       "4      0\n",
       "      ..\n",
       "508    0\n",
       "509    0\n",
       "510    0\n",
       "511    0\n",
       "512    0\n",
       "Length: 513, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_client_4.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      0\n",
       "2      0\n",
       "3      0\n",
       "4      0\n",
       "      ..\n",
       "508    0\n",
       "509    0\n",
       "510    0\n",
       "511    0\n",
       "512    0\n",
       "Length: 513, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_client_5.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    431\n",
       "3    410\n",
       "4    404\n",
       "0    402\n",
       "1    392\n",
       "2    391\n",
       "7    391\n",
       "6    379\n",
       "Name: 512, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_client_1[data_client_1.columns[-1]].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_client_1 = data_client_1[data_client_1.columns[0:512]]\n",
    "y_client_1 = data_client_1[data_client_1.columns[-1]]\n",
    "\n",
    "x_client_2 = data_client_2[data_client_2.columns[0:512]]\n",
    "y_client_2 = data_client_2[data_client_2.columns[-1]]\n",
    "\n",
    "x_client_3 = data_client_3[data_client_3.columns[0:512]]\n",
    "y_client_3 = data_client_3[data_client_3.columns[-1]]\n",
    "\n",
    "x_client_4 = data_client_4[data_client_4.columns[0:512]]\n",
    "y_client_4 = data_client_4[data_client_4.columns[-1]]\n",
    "\n",
    "x_client_5 = data_client_5[data_client_5.columns[0:512]]\n",
    "y_client_5 = data_client_5[data_client_5.columns[-1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3200, 512)\n",
      "(3200,)\n"
     ]
    }
   ],
   "source": [
    "print(x_client_1.shape)\n",
    "print(y_client_1.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.io as sio\n",
    "def getTestDataset():\n",
    "    database = sio.loadmat('./testData/data_base_all_sequences_random.mat')\n",
    "\n",
    "    x = database['Data_test_2']\n",
    "    y = database['label_test_2']\n",
    "\n",
    "    return x, y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_test, y_test = getTestDataset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(16000, 512)\n",
      "(16000, 1)\n"
     ]
    }
   ],
   "source": [
    "print(x_test.shape)\n",
    "print(y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(16000,)\n"
     ]
    }
   ],
   "source": [
    "y_test = np.reshape(y_test, (y_test.shape[0],))\n",
    "print(y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "scaler = MinMaxScaler()\n",
    "scaler_model = scaler.fit(x_client_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\sshob\\Desktop\\C&S\\code\\CodeBase\\lib\\site-packages\\sklearn\\base.py:451: UserWarning: X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
      "  \"X does not have valid feature names, but\"\n"
     ]
    }
   ],
   "source": [
    "x_client_1_scaled = scaler_model.transform(x_client_1)\n",
    "x_client_2_scaled = scaler_model.transform(x_client_2)\n",
    "x_client_3_scaled = scaler_model.transform(x_client_3)\n",
    "x_client_4_scaled = scaler_model.transform(x_client_4)\n",
    "x_client_5_scaled = scaler_model.transform(x_client_5)\n",
    "x_test_scaled = scaler_model.transform(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3200, 512)\n",
      "(16000, 512)\n"
     ]
    }
   ],
   "source": [
    "print(x_client_1_scaled.shape)\n",
    "print(x_test_scaled.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "for i in range(1):\n",
    "    plt.plot(list(range(x_client_1_scaled.shape[1])), x_client_1_scaled[i], label = 'Client-1')\n",
    "    plt.plot(list(range(x_client_2_scaled.shape[1])), x_client_2_scaled[i], label = 'Client-2')\n",
    "    plt.plot(list(range(x_client_3_scaled.shape[1])), x_client_3_scaled[i], label = 'Client-3')\n",
    "    plt.plot(list(range(x_client_4_scaled.shape[1])), x_client_4_scaled[i], label = 'Client-4')\n",
    "    plt.plot(list(range(x_client_5_scaled.shape[1])), x_client_5_scaled[i], label = 'Client-5')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.6 ('CodeBase': venv)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "6d3b34131a67879cedea56a3ea63000443847b02ff6f7fb4cc64bc66e850672f"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}