PCA2D.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import csv\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import math\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widgets\n",
    "\n",
    "plt.rcParams.update({'figure.max_open_warning': 0})\n",
    "\n",
    "#print(plt.style.available)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3192e01ac231462db9376e77eecb45cd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Text(value='./', description='path_fill'), Output()), _dom_classes=('widget-interact',))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f6834827e5c8458ca7703f7f9d0b8619",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='path_target_fill', options=('CreditCard.csv', 'insurance2.csv'), v…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def text_input_path(path_fill):\n",
    "    global path\n",
    "    path = path_fill\n",
    "    return path_fill\n",
    "\n",
    "interact(text_input_path, path_fill='./');\n",
    "\n",
    "files = os.listdir(path)\n",
    "curated_list = []\n",
    "\n",
    "for file in files:\n",
    "    if file.endswith('.csv'):\n",
    "        curated_list.append(file)\n",
    "\n",
    "def file_dropdown(path_target_fill):\n",
    "    global file_target\n",
    "    file_target = path_target_fill\n",
    "    return path_target_fill\n",
    "\n",
    "interact(file_dropdown, path_target_fill=list(curated_list));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(file_target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a11aebf48eaf431eab206b1a0a14ee57",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='column_target_fill', options=('age', 'sex', 'bmi', 'children', 'sm…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def col_dropdown(column_target_fill):\n",
    "    global column_target\n",
    "    column_target = column_target_fill\n",
    "    return column_target_fill\n",
    "\n",
    "interact(col_dropdown, column_target_fill=list(df.columns));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Column Name:age\n",
      " count    1338.000000\n",
      "mean       39.207025\n",
      "std        14.049960\n",
      "min        18.000000\n",
      "25%        27.000000\n",
      "50%        39.000000\n",
      "75%        51.000000\n",
      "max        64.000000\n",
      "Name: age, dtype: float64\n",
      "Column Name:sex\n",
      " count    1338.000000\n",
      "mean        0.505232\n",
      "std         0.500160\n",
      "min         0.000000\n",
      "25%         0.000000\n",
      "50%         1.000000\n",
      "75%         1.000000\n",
      "max         1.000000\n",
      "Name: sex, dtype: float64\n",
      "Column Name:bmi\n",
      " count    1338.000000\n",
      "mean       30.663397\n",
      "std         6.098187\n",
      "min        15.960000\n",
      "25%        26.296250\n",
      "50%        30.400000\n",
      "75%        34.693750\n",
      "max        53.130000\n",
      "Name: bmi, dtype: float64\n",
      "Column Name:children\n",
      " count    1338.000000\n",
      "mean        1.094918\n",
      "std         1.205493\n",
      "min         0.000000\n",
      "25%         0.000000\n",
      "50%         1.000000\n",
      "75%         2.000000\n",
      "max         5.000000\n",
      "Name: children, dtype: float64\n",
      "Column Name:smoker\n",
      " count    1338.000000\n",
      "mean        0.204783\n",
      "std         0.403694\n",
      "min         0.000000\n",
      "25%         0.000000\n",
      "50%         0.000000\n",
      "75%         0.000000\n",
      "max         1.000000\n",
      "Name: smoker, dtype: float64\n",
      "Column Name:region\n",
      " count    1338.000000\n",
      "mean        1.515695\n",
      "std         1.104885\n",
      "min         0.000000\n",
      "25%         1.000000\n",
      "50%         2.000000\n",
      "75%         2.000000\n",
      "max         3.000000\n",
      "Name: region, dtype: float64\n",
      "Column Name:charges\n",
      " count     1338.000000\n",
      "mean     13270.422265\n",
      "std      12110.011237\n",
      "min       1121.873900\n",
      "25%       4740.287150\n",
      "50%       9382.033000\n",
      "75%      16639.912515\n",
      "max      63770.428010\n",
      "Name: charges, dtype: float64\n",
      "Column Name:insuranceclaim\n",
      " count    1338.000000\n",
      "mean        0.585202\n",
      "std         0.492871\n",
      "min         0.000000\n",
      "25%         0.000000\n",
      "50%         1.000000\n",
      "75%         1.000000\n",
      "max         1.000000\n",
      "Name: insuranceclaim, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEICAYAAACktLTqAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/d3fzzAAAACXBIWXMAAAsTAAALEwEAmpwYAAAZDElEQVR4nO3df5Bd5X3f8ffHkgGjxVoB8UaRFK8yKKRE1Bg2II8TZxc5qSSniE5tCkOCxGiyISUuLk6LHM/UTpM0oi2hBrvU64hK2JgFUzvS8MMxFWwpbiRbsrHEDxNWWDJay5IBsc7yw0H42z/Os/h6vat79u79oX3285rZ2XOe5znnPN/d1ecenXvvuYoIzMwsL29q9QTMzKz+HO5mZhlyuJuZZcjhbmaWIYe7mVmGHO5mZhlyuFtTSXpcUner59EqktZKeqTk2D+R9NeNnpPlaXarJ2AzS0T8aqvnMF1ExH9q9Rxs+vKZu2VLkk9ebMZyuFtTSdon6b2SPi7pLkm3SfqHdLmmq2LcdZKGUt9Tkpan9k2S/rxiXLekA2P2f52k3cBLkmZLWi9pb9rXE5L+RcX4tZIekfRfJR2R9B1JKyv6T5X0PyV9L/X/TUXf70h6VNKLkv6fpH9a0bdI0hcl/UDS85I+OcHP4xOSnpX0Q0m7JP1GRd/HJX0uLXdKCklXpvFHJF0l6dck7U5zGPcYNjM53K2VLgL6gXZgK/BJAElnAn8E/FpEnAL8M2DfJPZ7GfA+oD0ijgJ7gd8A5gJ/CnxO0vyK8RcATwGnA/8Z2ChJqe+zwMnArwJvA25Mc3wncCvwB8BpwKeBrZJOlDQLuAfYD3QCC1Kd4/k6cA5wKvB54AuSTjpGbRcAS4B/Bfw34KPAe9P8LpH0m8f8ydiM4XC3VnokIu6LiNcpQvQdqf114ETgLElvjoh9EbF3Evu9KSKejYhXACLiCxHxvYj4cUTcCTwNnF8xfn9EfCbNYzMwH+hIDwArgasi4khEvBYR/ydt0wt8OiJ2RMTrEbEZ+BGwLO37F4B/FxEvRcSrETHuk6gR8bmIeD4ijkbEDanuM49R25+l/X0FeAm4IyIOR8QQ8H+Bd07i52QZc7hbK32/Yvll4CRJsyNiEPgQ8HHgsKR+Sb8wif0+W7ki6YqKyycvAkspztJ/Zh4R8XJabAMWAS9ExJFxjvF24MOj+0z7XUQR6osoHjCOVpuopD+W9KSk4bSPuWPmNtahiuVXxllvq3ZMmxkc7nZciojPR8SvU4RoANenrpcoLpOM+vnxNh9dkPR24DMUl3lOi4h24DFA42w31rPAqZLaJ+j7i4hor/g6OSLuSH2/WO0J3XR9/d8DlwDz0tyGS87N7Jgc7nbckXSmpAslnQi8SnFG+uPU/SiwKj3R+fMUZ/jHMoci7H+Q9n0lxZl7VRFxELgf+O+S5kl6s6T3pO7PAFdJukCFOZLeJ+kU4GvAQWBDaj9J0rvHOcQpwNE0t9mS/gPw1jJzM6vG4W7HoxOBDcBzFJdM3gZ8JPV9FvgWxROsXwHuPNaOIuIJ4Abg7yguYZwNfHUSc/k94DXg28Bh0oNJROwEfp/iSeAjwCCwNvW9Dvxz4Azgu8ABiidAx/pb4MvA31M8+foqYy4pmdVK/rAOM7P8+MzdzCxDDnczsww53M3MMuRwNzPL0HFxY6XTTz89Ojs7a9r2pZdeYs6cOfWd0HHONc8MrnlmmErNu3btei4ifm68vuMi3Ds7O9m5c2dN2w4MDNDd3V3fCR3nXPPM4JpnhqnULGn/RH2+LGNmlqFS4S7p36Zbsj4m6Y70jrvFknZIGpR0p6QT0tgT0/pg6u9saAVmZvYzqoa7pAXAvwG6ImIpMAu4lOJeHzdGxBkU79BblzZZBxxJ7Tfyk3uCmJlZk5S9LDMbeEu6EdLJFPfNuBC4O/VvBi5Oy6vTOql/ecW9sc3MrAlK3X5A0jXAX1DcwOkrwDXA9nR2jqRFwP0RsVTSY8CKiDiQ+vYCF0TEc2P22UtxT2w6OjrO6++f6LMMjm1kZIS2tpl1l1PXPDO45plhKjX39PTsioiu8fqqvlpG0jyKs/HFwIvAF4AVNc2kQkT0AX0AXV1dUeuzxX52fWZwzTODa66fMpdl3gt8JyJ+EBGvAV8E3g20V9yveiEwlJaHKD6sYPQDiucCz9d11mZmdkxlwv27wDJJJ6dr58uBJ4CHgPenMWuALWl5a1on9T8YvvWkmVlTVQ33iNhB8cToN4A9aZs+4DrgWkmDFB8QvDFtshE4LbVfC6xvwLzNzOwYSr1DNSI+BnxsTPMz/PSHDI+OfRX4wNSnZmbWHJ3r723ZsTetaMztFvwOVTOzDDnczcwy5HA3M8uQw93MLEMOdzOzDDnczcwy5HA3M8uQw93MLEMOdzOzDDnczcwy5HA3M8uQw93MLEMOdzOzDDnczcwy5HA3M8uQw93MLEMOdzOzDDnczcwyVDXcJZ0p6dGKrx9K+pCkUyU9IOnp9H1eGi9JN0kalLRb0rmNL8PMzCqV+YDspyLinIg4BzgPeBn4EsUHX2+LiCXANn7yQdgrgSXpqxe4pQHzNjOzY5jsZZnlwN6I2A+sBjan9s3AxWl5NXBbFLYD7ZLm12OyZmZWjiKi/GDpVuAbEfFJSS9GRHtqF3AkItol3QNsiIhHUt824LqI2DlmX70UZ/Z0dHSc19/fX1MBIyMjtLW11bTtdOWaZwbX3Dx7hoabfsxRi+fOqrnmnp6eXRHRNV7f7LI7kXQCcBHwkbF9ERGSyj9KFNv0AX0AXV1d0d3dPZnN3zAwMECt205XrnlmcM3Ns3b9vU0/5qhNK+Y0pObJXJZZSXHWfiitHxq93JK+H07tQ8Ciiu0WpjYzM2uSyYT7ZcAdFetbgTVpeQ2wpaL9ivSqmWXAcEQcnPJMzcystFKXZSTNAX4L+IOK5g3AXZLWAfuBS1L7fcAqYJDilTVX1m22ZmZWSqlwj4iXgNPGtD1P8eqZsWMDuLouszMzs5r4HapmZhlyuJuZZcjhbmaWIYe7mVmGHO5mZhlyuJuZZcjhbmaWIYe7mVmGHO5mZhlyuJuZZcjhbmaWIYe7mVmGHO5mZhlyuJuZZcjhbmaWIYe7mVmGHO5mZhkqFe6S2iXdLenbkp6U9C5Jp0p6QNLT6fu8NFaSbpI0KGm3pHMbW4KZmY1V9sz9E8CXI+JXgHcATwLrgW0RsQTYltYBVgJL0lcvcEtdZ2xmZlVVDXdJc4H3ABsBIuIfI+JFYDWwOQ3bDFycllcDt0VhO9AuaX6d521mZseg4vOsjzFAOgfoA56gOGvfBVwDDEVEexoj4EhEtEu6B9gQEY+kvm3AdRGxc8x+eynO7Ono6Divv7+/pgJGRkZoa2uradvpyjXPDK65efYMDTf9mKMWz51Vc809PT27IqJrvL7ZJbafDZwLfDAidkj6BD+5BANARISkYz9KjBERfRQPGnR1dUV3d/dkNn/DwMAAtW47XbnmmcE1N8/a9fc2/ZijNq2Y05Cay1xzPwAciIgdaf1uirA/NHq5JX0/nPqHgEUV2y9MbWZm1iRVwz0ivg88K+nM1LSc4hLNVmBNalsDbEnLW4Er0qtmlgHDEXGwvtM2M7NjKXNZBuCDwO2STgCeAa6keGC4S9I6YD9wSRp7H7AKGAReTmPNzKyJSoV7RDwKjHfRfvk4YwO4emrTMjOzqfA7VM3MMuRwNzPLkMPdzCxDDnczsww53M3MMuRwNzPLUNnXuR+39gwNt+ytw/s2vK8lxzUzq8Zn7mZmGXK4m5llyOFuZpYhh7uZWYYc7mZmGXK4m5llyOFuZpYhh7uZWYYc7mZmGXK4m5llqFS4S9onaY+kRyXtTG2nSnpA0tPp+7zULkk3SRqUtFvSuY0swMzMftZkztx7IuKciBj9uL31wLaIWAJsS+sAK4El6asXuKVekzUzs3KmcllmNbA5LW8GLq5ovy0K24F2SfOncBwzM5uksuEewFck7ZLUm9o6IuJgWv4+0JGWFwDPVmx7ILWZmVmTlL3l769HxJCktwEPSPp2ZWdEhKSYzIHTg0QvQEdHBwMDA5PZ/A0db4EPn320pm2nqtY5T9XIyEjLjt0qrnlmaFXNrcoQaFzNpcI9IobS98OSvgScDxySND8iDqbLLofT8CFgUcXmC1Pb2H32AX0AXV1d0d3dXVMBN9++hRv2tOa29Psu727JcQcGBqj15zVdueaZoVU1t+ozIQA2rZjTkJqrXpaRNEfSKaPLwG8DjwFbgTVp2BpgS1reClyRXjWzDBiuuHxjZmZNUOaUtwP4kqTR8Z+PiC9L+jpwl6R1wH7gkjT+PmAVMAi8DFxZ91mbmdkxVQ33iHgGeMc47c8Dy8dpD+DquszOzMxq4neompllyOFuZpYhh7uZWYYc7mZmGXK4m5llyOFuZpYhh7uZWYYc7mZmGXK4m5llyOFuZpYhh7uZWYYc7mZmGXK4m5llyOFuZpYhh7uZWYYc7mZmGXK4m5llyOFuZpah0uEuaZakb0q6J60vlrRD0qCkOyWdkNpPTOuDqb+zQXM3M7MJTObM/RrgyYr164EbI+IM4AiwLrWvA46k9hvTODMza6JS4S5pIfA+4K/TuoALgbvTkM3AxWl5dVon9S9P483MrEkUEdUHSXcDfwmcAvwxsBbYns7OkbQIuD8ilkp6DFgREQdS317ggoh4bsw+e4FegI6OjvP6+/trKuDwC8MceqWmTafs7AVzW3LckZER2traWnLsVnHNM0Orat4zNNz0Y45aPHdWzTX39PTsioiu8fpmV9tY0u8AhyNil6TummYwjojoA/oAurq6oru7tl3ffPsWbthTtYyG2Hd5d0uOOzAwQK0/r+nKNc8Mrap57fp7m37MUZtWzGlIzWVS8d3ARZJWAScBbwU+AbRLmh0RR4GFwFAaPwQsAg5Img3MBZ6v+8zNzGxCVa+5R8RHImJhRHQClwIPRsTlwEPA+9OwNcCWtLw1rZP6H4wy137MzKxupvI69+uAayUNAqcBG1P7RuC01H4tsH5qUzQzs8ma1MXqiBgABtLyM8D544x5FfhAHeZmZmY18jtUzcwy5HA3M8uQw93MLEMOdzOzDDnczcwy5HA3M8uQw93MLEMOdzOzDDnczcwy5HA3M8uQw93MLEMOdzOzDDnczcwy5HA3M8uQw93MLEMOdzOzDDnczcwyVDXcJZ0k6WuSviXpcUl/mtoXS9ohaVDSnZJOSO0npvXB1N/Z4BrMzGyMMmfuPwIujIh3AOcAKyQtA64HboyIM4AjwLo0fh1wJLXfmMaZmVkTVQ33KIyk1TenrwAuBO5O7ZuBi9Py6rRO6l8uSfWasJmZVaeIqD5ImgXsAs4APgX8F2B7OjtH0iLg/ohYKukxYEVEHEh9e4ELIuK5MfvsBXoBOjo6zuvv76+pgMMvDHPolZo2nbKzF8xtyXFHRkZoa2trybFbxTXPDK2qec/QcNOPOWrx3Fk119zT07MrIrrG65tdZgcR8TpwjqR24EvAr9Q0k5/eZx/QB9DV1RXd3d017efm27dww55SZdTdvsu7W3LcgYEBav15TVeueWZoVc1r19/b9GOO2rRiTkNqntSrZSLiReAh4F1Au6TRVF0IDKXlIWARQOqfCzxfj8mamVk5ZV4t83PpjB1JbwF+C3iSIuTfn4atAbak5a1pndT/YJS59mNmZnVT5nrGfGBzuu7+JuCuiLhH0hNAv6Q/B74JbEzjNwKflTQIvABc2oB5m5nZMVQN94jYDbxznPZngPPHaX8V+EBdZmdmZjXxO1TNzDLkcDczy5DD3cwsQw53M7MMOdzNzDLkcDczy5DD3cwsQw53M7MMOdzNzDLkcDczy5DD3cwsQw53M7MMOdzNzDLkcDczy5DD3cwsQw53M7MMOdzNzDLkcDczy1CZD8heJOkhSU9IelzSNan9VEkPSHo6fZ+X2iXpJkmDknZLOrfRRZiZ2U8rc+Z+FPhwRJwFLAOulnQWsB7YFhFLgG1pHWAlsCR99QK31H3WZmZ2TFXDPSIORsQ30vI/AE8CC4DVwOY0bDNwcVpeDdwWhe1Au6T59Z64mZlNTBFRfrDUCTwMLAW+GxHtqV3AkYhol3QPsCEiHkl924DrImLnmH31UpzZ09HRcV5/f39NBRx+YZhDr9S06ZSdvWBuS447MjJCW1tbS47dKq55ZmhVzXuGhpt+zFGL586queaenp5dEdE1Xt/ssjuR1Ab8L+BDEfHDIs8LERGSyj9KFNv0AX0AXV1d0d3dPZnN33Dz7Vu4YU/pMupq3+XdLTnuwMAAtf68pivXPDO0qua16+9t+jFHbVoxpyE1l3q1jKQ3UwT77RHxxdR8aPRyS/p+OLUPAYsqNl+Y2szMrEnKvFpGwEbgyYj4q4qurcCatLwG2FLRfkV61cwyYDgiDtZxzmZmVkWZ6xnvBn4P2CPp0dT2J8AG4C5J64D9wCWp7z5gFTAIvAxcWc8Jm5lZdVXDPT0xqgm6l48zPoCrpzgvMzObAr9D1cwsQw53M7MMOdzNzDLkcDczy5DD3cwsQw53M7MMOdzNzDLkcDczy5DD3cwsQw53M7MMOdzNzDLkcDczy5DD3cwsQw53M7MMOdzNzDLkcDczy5DD3cwsQ2U+Q/VWSYclPVbRdqqkByQ9nb7PS+2SdJOkQUm7JZ3byMmbmdn4ypy5bwJWjGlbD2yLiCXAtrQOsBJYkr56gVvqM00zM5uMquEeEQ8DL4xpXg1sTsubgYsr2m+LwnagXdL8Os3VzMxKUvF51lUGSZ3APRGxNK2/GBHtaVnAkYhol3QPsCF9qDaStgHXRcTOcfbZS3F2T0dHx3n9/f01FXD4hWEOvVLTplN29oK5LTnuyMgIbW1tLTl2q7jmmaFVNe8ZGm76MUctnjur5pp7enp2RUTXeH2zpzQrICJCUvVHiJ/drg/oA+jq6oru7u6ajn/z7Vu4Yc+Uy6jJvsu7W3LcgYEBav15TVeueWZoVc1r19/b9GOO2rRiTkNqrvXVModGL7ek74dT+xCwqGLcwtRmZmZNVGu4bwXWpOU1wJaK9ivSq2aWAcMRcXCKczQzs0mqej1D0h1AN3C6pAPAx4ANwF2S1gH7gUvS8PuAVcAg8DJwZQPmbGZmVVQN94i4bIKu5eOMDeDqqU7KzMymxu9QNTPLkMPdzCxDDnczsww53M3MMuRwNzPLkMPdzCxDDnczsww53M3MMuRwNzPLkMPdzCxDDnczsww53M3MMuRwNzPLkMPdzCxDDnczsww53M3MMuRwNzPLkMPdzCxDDQl3SSskPSVpUNL6RhzDzMwmVvdwlzQL+BSwEjgLuEzSWfU+jpmZTawRZ+7nA4MR8UxE/CPQD6xuwHHMzGwCsxuwzwXAsxXrB4ALxg6S1Av0ptURSU/VeLzTgedq3HZKdH0rjgq0sOYWcs0zw4yruef6KdX89ok6GhHupUREH9A31f1I2hkRXXWY0rThmmcG1zwzNKrmRlyWGQIWVawvTG1mZtYkjQj3rwNLJC2WdAJwKbC1AccxM7MJ1P2yTEQclfRHwN8Cs4BbI+Lxeh+nwpQv7UxDrnlmcM0zQ0NqVkQ0Yr9mZtZCfoeqmVmGHO5mZhmaNuFe7ZYGkk6UdGfq3yGpswXTrKsSNV8r6QlJuyVtkzTha16ni7K3rpD0LyWFpGn/srkyNUu6JP2uH5f0+WbPsd5K/G3/oqSHJH0z/X2vasU860XSrZIOS3psgn5Juin9PHZLOnfKB42I4/6L4onZvcAvAScA3wLOGjPmXwP/Iy1fCtzZ6nk3oeYe4OS0/IczoeY07hTgYWA70NXqeTfh97wE+CYwL62/rdXzbkLNfcAfpuWzgH2tnvcUa34PcC7w2AT9q4D7AQHLgB1TPeZ0OXMvc0uD1cDmtHw3sFySmjjHeqtac0Q8FBEvp9XtFO8pmM7K3rriz4DrgVebObkGKVPz7wOfiogjABFxuMlzrLcyNQfw1rQ8F/heE+dXdxHxMPDCMYasBm6LwnagXdL8qRxzuoT7eLc0WDDRmIg4CgwDpzVldo1RpuZK6yge+aezqjWn/64uioh7mzmxBirze/5l4JclfVXSdkkrmja7xihT88eB35V0ALgP+GBzptYyk/33XlXLbj9g9SPpd4Eu4DdbPZdGkvQm4K+AtS2eSrPNprg0003xv7OHJZ0dES+2clINdhmwKSJukPQu4LOSlkbEj1s9seliupy5l7mlwRtjJM2m+K/c802ZXWOUuo2DpPcCHwUuiogfNWlujVKt5lOApcCApH0U1ya3TvMnVcv8ng8AWyPitYj4DvD3FGE/XZWpeR1wF0BE/B1wEsVNxXJV99u2TJdwL3NLg63AmrT8fuDBSM9UTFNVa5b0TuDTFME+3a/DQpWaI2I4Ik6PiM6I6KR4nuGiiNjZmunWRZm/7b+hOGtH0ukUl2meaeIc661Mzd8FlgNI+icU4f6Dps6yubYCV6RXzSwDhiPi4JT22OpnkSfxbPMqijOWvcBHU9t/pPjHDcUv/wvAIPA14JdaPecm1Py/gUPAo+lra6vn3Oiax4wdYJq/Wqbk71kUl6OeAPYAl7Z6zk2o+SzgqxSvpHkU+O1Wz3mK9d4BHAReo/if2DrgKuCqit/xp9LPY089/q59+wEzswxNl8syZmY2CQ53M7MMOdzNzDLkcDczy5DD3cwsQw53M7MMOdzNzDL0/wHjnmWk0RhtZQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "columns = df.columns\n",
    "\n",
    "for column in columns:\n",
    "    i=0\n",
    "    desc = df[column].describe()\n",
    "    df.hist(column)\n",
    "    print(\"Column Name:{}\\n {}\".format(column, desc))\n",
    "    i = i + 1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def features_target(column_target):\n",
    "    features = list(df.columns)\n",
    "    if column_target in features: features.remove(column_target)\n",
    "    return features\n",
    "\n",
    "features = features_target(column_target)\n",
    "features\n",
    "\n",
    "#Separating Features Values\n",
    "x = df.loc[:, features].values\n",
    "x = StandardScaler().fit_transform(x)\n",
    "x\n",
    "\n",
    "#Separating Target Value\n",
    "y = df.loc[:, [column_target]].values\n",
    "y\n",
    "\n",
    "pca = PCA(n_components=2)\n",
    "principalComponents = pca.fit_transform(x)\n",
    "principalDf = pd.DataFrame(data = principalComponents\n",
    "             , columns = ['principal component 1', 'principal component 2'])\n",
    "\n",
    "finalDf = pd.concat([principalDf, df[[column_target]]], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5eeaccfa754148c4a07778788d3cfcdf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=51, description='s_slider_fill', min=2), Output()), _dom_classes=('widge…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def s_slider(s_slider_fill):\n",
    "    global s_size\n",
    "    s_size = s_slider_fill\n",
    "    return s_slider_fill\n",
    "\n",
    "s_slider_1 = interactive(s_slider,s_slider_fill=(2,100,1));\\\n",
    "display(s_slider_1) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with plt.style.context('seaborn-talk'):\n",
    "    fig = plt.figure(figsize = (10,10))\n",
    "    ax = fig.add_subplot(1,1,1) \n",
    "    ax.set_xlabel('PC1', fontsize = 10)\n",
    "    ax.set_ylabel('PC2', fontsize = 10)\n",
    "    ax.set_title('Principal Component Analysis', fontsize = 15)\n",
    "\n",
    "    targets = finalDf[column_target].unique()\n",
    "\n",
    "    for target in zip(targets):\n",
    "        indicesToKeep = finalDf[column_target] == target\n",
    "        ax.scatter(finalDf.loc[indicesToKeep, 'principal component 1']\n",
    "                   , finalDf.loc[indicesToKeep, 'principal component 2']\n",
    "                   , s = s_slider_1.result)\n",
    "    ax.legend(targets)\n",
    "    ax.grid()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-25-46ae77f25e9f>, line 2)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-25-46ae77f25e9f>\"\u001b[0;36m, line \u001b[0;32m2\u001b[0m\n\u001b[0;31m    +>\u001b[0m\n\u001b[0m     ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "#TODO JSON\n",
    "\n",
    "#PCA 1d ??? READ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}