path: root/stats.py.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "israeli-perth",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "norman-frequency",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.plotting.backend = \"matplotlib\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "brave-marsh",
   "metadata": {},
   "outputs": [],
   "source": [
    "vals = range(21, 25)\n",
    "indexes = [0,1,1,1]  # first file has no סמל ועדה column\n",
    "dfs = [pd.read_csv(f\"{e}.csv\", index_col=i, encoding=\"iso-8859-8\") for e, i in zip(vals, indexes)]\n",
    "\n",
    "# cleanup NaN columns\n",
    "del dfs[2][\"Unnamed: 37\"]\n",
    "del dfs[3][\"Unnamed: 46\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "ordered-executive",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['סמל ועדה', 'סמל ישוב', 'בזב', 'מצביעים', 'פסולים', 'כשרים', 'אמת', 'ב',\n",
      "       'ג', 'ודעם', 'ז', 'זץ', 'ט', 'י', 'יז', 'ינ', 'יף', 'יק', 'יר', 'כ',\n",
      "       'כך', 'כן', 'ל', 'מחל', 'מרצ', 'נ', 'ני', 'נר', 'עם', 'פה', 'ףז', 'צי',\n",
      "       'צכ', 'צף', 'ץ', 'ק', 'קי', 'קך', 'קץ', 'ר', 'רנ', 'רף', 'רק', 'שס',\n",
      "       'ת'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(dfs[3].keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "foreign-segment",
   "metadata": {},
   "outputs": [],
   "source": [
    "static_keys = [\"סמל ועדה\", \"שם ישוב\", \"בזב\", \"מצביעים\", \"פסולים\", \"כשרים\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "wicked-manitoba",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "id": "finite-acoustic",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = dfs[2].sort_values(by=['בזב'], ascending=False)[:100]\n",
    "df3 = dfs[3].sort_values(by=['בזב'], ascending=False)[:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "id": "distant-festival",
   "metadata": {},
   "outputs": [],
   "source": [
    "def scatter_party(p):\n",
    "    rate3 = df3[\"מצביעים\"] / df3[\"בזב\"]\n",
    "    rate2 = df2[\"מצביעים\"] / df2[\"בזב\"]\n",
    "    p3 = df3[p] / rate3\n",
    "    p2 = df2[p] / rate2\n",
    "    odf = pd.DataFrame({\n",
    "        \"votes\": rate3 / rate2,\n",
    "        \"party\": df2[p] / df2[\"מצביעים\"],\n",
    "        \"name\": df3[p]\n",
    "    })\n",
    "    g = odf[(odf[\"party\"] > 0.05) & (odf[\"party\"] < 1)].plot.scatter(y=\"votes\", x=\"party\")\n",
    "    g.set_xlim(0, 1)\n",
    "    g.set_ylim(0.5, 1)\n",
    "    return g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "id": "piano-reconstruction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 338,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"מחל\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "id": "oriental-yield",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"שס\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "id": "removable-manual",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 340,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"ודעם\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "id": "right-value",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"פה\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "id": "czech-romania",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEKCAYAAAAMzhLIAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAZL0lEQVR4nO3df5TddX3n8ed7ZpIBCQgniVaTIKwJasAQ7YjY+LOuPUhtaBtEsCzVdcXTCt11FcS1/oLjqYLabVfUBpe1tlVEONWIdNltwXW14mZYQwyhuBF/ZIKWEEMKEiaZue/9495JbmbufOfOZL733pn7fJyTc+b7vd978+Z7wn3N5+c3MhNJkibT0+4CJEmdzaCQJBUyKCRJhQwKSVIhg0KSVMigkCQVKi0oIuLGiHg4IrZN8npExJ9HxI6I2BoRLyyrFknSzJXZovgccE7B668FVtX+XAp8usRaJEkzVFpQZOY3gV8UXHIe8Pmsuhs4MSKeUVY9kqSZ6Wvj370M2Fl3PFQ797PxF0bEpVRbHRx33HG/+tznPrclBUrSfHHPPfc8kplLZ/LedgZF0zJzI7ARYGBgIAcHB9tckSTNLRHxk5m+t52znnYBK+qOl9fOSZI6SDuDYhNwSW3209nAvsyc0O0kSWqv0rqeIuKLwCuBJRExBHwAWACQmZ8BbgfOBXYATwBvLqsWSdLMlRYUmXnRFK8n8Pay/n5J0uxwZbYkqZBBIUkqZFBIkgoZFJKkQgaFJKmQQTFL9jw+zL07H2XP48PtLkWSZtWc2MKj0311yy7efetWFvT0cLBS4doNa1i/dlm7y5KkWWGLos5krYKi1sKex4d5961befJghceGR3jyYIUrb91qy0LSvGGLomayVsFUrYWhvftZ0NPDk1QOnVvQ08PQ3v0sXtQ/a/XteXyYob37WX7SsbP6uZI0FYOCI1sFY1/4V966ldXPOIErb9nK8MiR59etXHLoy3r5ScdysFI54vMOViosP+nYWauvPqwOjI5y2atW8cYXn2xgSGoJu5443Cqot6Cnhxu//WOGRyoTzg/t3X/oePGifq7dsIZjFvRwfH8fxyzo4doNa2btS3x819bwSPLx//kDfu0jd7Jpi5vtSiqfLQqqrYIDo0cGwoHRCrfc89MJ1x4YndhaWL92GetWLimla6hR1xbA8EhlQutGkspgiwL41o5HGK3rPlrQG1z2qpX0903M0ctetZLFi/onDHAvXtTPmStOnPUv7UZdW4fqrLVunJorqUxd36IY69qp72HqCXjtGb/C9d/YccS1/X3BG198cunTYccPXF+7YQ1X3HIvwyN5xHUHKxW27drHGzZ+x6m5kkrT9UHRqGtnYW8vvzwwyrUb1nDluEAAJgx8v+vL97L6GSew8unHH3U9k4XQupVL+MJ3f8on79rBwt7qa+973WquuW37hEF4u6MkzaauDYod//wYW3Y+yimLnzLprKUzV5x4aOzhuIXV8LjvoX309cQR1x8YTc79L9/iY+evOaqxislmX4198V/+6upsp7HPb9XUXEndrSuD4v1f+T6fv/vwQPXLVi5m80/2HvFb/NgX7eJF/XxrxyOHfsvff3CEkQZDBgdGKrzzy/fSE9UWyUy6gZr54l+8qP+IECh7aq4kdV1Q7Pjnx44ICYD/vWMPt7ztbBb09U5oCTT6LX8yB0erYwjDIyNA891AY2MSxy3sndYX/9j4xfjuMVsTkmZT1wXFlp2PNjz/4z1PcP7AignnJ5ue2oxmuoHGj0lcMLCcmweHmv7iL3NqriRBFwbF2hUnTut80fTUMf191VnGo5XKEd1SU3UDNWqt3Dw4xG2XvZRfHhht+ot/fHeUJM2mrltHsfLpx3PJS04+4twlLzl50hlLixf1877fXE1vwZ3KTL5++Uv5xAVrp7VCe7IV4b88MFrKmgxJmomua1EAXH3e87nk7FPYsvNR1q44sXBa61e37OLq27YzWtCo6O+rzoiabjdQo9ZKo5XfktROXdeiGLPy6cdz/sCKwpAY6xoav9/TePVdTNNZoT02GL2g9/B025HRCv99288L3+dKbEmt1JUtimY1M5Dd3xdHNdNo3col1C/LGE1471e2QcDvvfhZE673IUmSWq1rWxTNmGog+ykLe7nhkoGj+qIe2ruf3ogJ5z/0te0NH6DkQ5IktZpBUaB+C/HjFvZOeL2SyenPfOpR/R3bdu3jiYMTw2hBbxyxnTlMPvg9/jpJmk1d2/XU6Ilxjc7VD1Bve2gf19y2fcLeT/fufHTGW3Zc8/XtDV8breSEQe1WPCRJksbryqBo1M+fVDf7643g4GiFD/zW6fze2dUxgrF1CmeuOJFzTv+VQ2HyrR2PsO6jdx76nPf95mrOWPbUpkNjsjGQhX2Np9a6EltSO0RmTn1VBxkYGMjBwcEZv3/P48Os++idPFnX3VNdMJcTtvH+8O+c0XBAebLPATh2QQ+VhOvOn3qQudFnLOwNbv+jlx0xG2t8S8fnZ0uaroi4JzMHZvLerhujaNTP39sTBM0NKEP1i/uuf3q44SD0/oMVhmsbBE41yNzoMaofe/2ZR4TEV7fsYt1H7+Tiz36XdR+tPv60rIckSVIjXdf11Kiff7SSVBrMbhobUK7/Qh7rturrCX55YHTSv+fgaHLfQ/t4+WlPK6ynaJHeVNuOS1IrdF2LotFv8dedv4YPrj9jwrXjB5Trv7gfHz4cEsf0TmxZVE12fmJNjVoIznKS1Am6rkUBBb/FB3xo03Z6eqBSgfe9bvURX96NBp+P6+/lit94Dtfctp3RuiGOvh44/ZknHFWdznKS1Am6rkUxptFv8Yv6+6hkhScPVjgwWuEDX93Gpi27Dr0+WbfVb535TP70DWvp7wuesqCX/r7gExesPeruoUatH2c5SWq1rpv1NJk9jw/zax+5c8K+Tv19wT9e9epDX86btuyaMD11bHZTWbORnOUk6WgdzaynUrueIuIc4M+AXuCzmfmRca8/C7gRWAr8Arg4M4fKrGkyQ3v309szcUyhN458+FDR4HNZz4XweROS2qm0rqeI6AWuB14LrAYuiojV4y77GPD5zFwDXA38SVn1TGX5SccyWpnYuhrNiWMCTk+V1E3KHKM4C9iRmQ9m5gHgJuC8cdesBu6s/XxXg9dLM36r7sWL+rnu/CO3/O7rgevOP9NAkNTVyux6WgbsrDseAl487pp7gd+l2j31O8DxEbE4M/fUXxQRlwKXApx88skcrcm26h7rVrrvoX1AcPozTzAkJHW9ds96ehfwioj4HvAKYBcwYRVbZm7MzIHMHFi6dOlR/YVTbdW9eFE/Lz/tabz8tKUdHRI+vEhSq5TZotgFrKg7Xl47d0hmPkS1RUFELAI2ZOajJdbUcC3E2CK2Tg6Gej68SFIrldmi2AysiohTI2IhcCGwqf6CiFgSEWM1vIfqDKhSzfVFbD68SFKrlRYUmTkCXAbcAdwP3JyZ90XE1RGxvnbZK4EHIuIHwNOBD5dVz5i5vojNbT0ktVqp6ygy83bg9nHn3l/38y3ALWXW0EjRWohON9dbRJLmnnYPZrfc2CAwMCfXQsz1FpGkuaerNgWcL4PAc7lFJGnu6ZqgmG/PdnBbD0mt0jVdTw4CS9LMdE1QOAgsSTPTNUHhILAkzUzXjFGAg8CSNBNdFRTgILAkTVfXdD1JkmbGoJAkFTIoZshtviV1i64bo5gN82WFtyQ1wxbFNLnNt6RuY1BMkyu8JXUbg2KaZrrC2zENSXOVYxTTNLbC+8pxYxRFazMc05A0lxkUMzCdFd7zbddaSd3HoJihZld4j41pjIUEHB7TMCgkzQWOUZTMXWslzXUGxTRNd1DaXWslzXV2PU3DTAel3bVW0lxmUDTpaAel3bVW0lxl11OTXGgnqVsZFE1yUFpStzIomuSgtKRu5RjFNDgoLakbGRTT5KC0pG5j15MkqZBBIUkqZFBIkgoZFJKkQgaFJKmQQSFJKmRQSJIKlRoUEXFORDwQETsi4qoGr58cEXdFxPciYmtEnFtmPZKk6SstKCKiF7geeC2wGrgoIlaPu+yPgZsz8wXAhcCnyqpnvOk+V0KSulWZK7PPAnZk5oMAEXETcB6wve6aBE6o/fxU4KES6zlkps+VkKRuVGbX0zJgZ93xUO1cvQ8CF0fEEHA7cHmjD4qISyNiMCIGd+/efVRF1T9X4rHhEZ48WOHKW7faspCkSbR7MPsi4HOZuRw4F/iriJhQU2ZuzMyBzBxYunTpUf2FPldCkqanzKDYBayoO15eO1fvLcDNAJn5HeAYYEmJNflcCUmapjKDYjOwKiJOjYiFVAerN4275qfAqwEi4nlUg+Lo+pam4HMlJGl6ShvMzsyRiLgMuAPoBW7MzPsi4mpgMDM3Ae8EboiId1Ad2H5TZmZZNY3xuRKS1LxowffyrBoYGMjBwcF2lyFJc0pE3JOZAzN5b7sHsyVJHc6gkCQVMigkSYUMCklSIYNCklRoyqCIiHURcVzt54sj4hMR8azyS5MkdYJmWhSfBp6IiDOprnv4IfD5UquSJHWMZoJipLYI7jzgk5l5PXB8uWVJkjpFMyuzH4uI9wD/BnhZbdO+BeWWJUnqFM20KN4ADAP/NjN/TnVzv+tKrUqS1DGmDIpaONwKjG2I9Ajwt2UWJUnqHM3MenorcAvwF7VTy4CvlFiTJKmDNNP19HZgHfAvAJn5/4CnlVmUJKlzNBMUw5l5YOwgIvqobgkuSeoCzQTF/4qI/wQcGxGvAb4MfK3csiRJnaKZoLiK6lPnvg+8Dbg9M99balWSpI7RzDqKyzPzz4Abxk5ExL+vnZMkzXPNtCh+v8G5N81yHZKkDjVpiyIiLgLeCJwaEZvqXjoB+EXZhUmSOkNR19M/Aj8DlgAfrzv/GLC1zKIkSZ1j0qDIzJ8APwFeEhFPB15Ue+n+zBxpRXGSpPZrZmX264H/A7weuAD4bkScX3ZhkqTO0Myspz8GXpSZDwNExFLg76lu6yFJmueamfXUMxYSNXuafJ8kaR5opkXxdxFxB/DF2vEbgNvLK0mS1EmaCYqHgb8G1taON2am24xLUpdopgvpOKrbeJwF/IjqtFlJUpdo5sFFH8rM06luN/4MqpsE/n3plUmSOsJ0BqUfBn5OdTDb51FIUpdoZh3FH0bEN4B/ABYDb83MNWUXJknqDM0MZq8A/kNmbim5FklSB5oyKDLzPa0oRJLUmVw4J0kqZFBIkgoZFJKkQqUGRUScExEPRMSOiLiqwet/GhFban9+EBGPllmPJGn6mpn1NCMR0QtcD7wGGAI2R8SmzNw+dk1mvqPu+suBF5RVjyRpZspsUZwF7MjMBzPzAHATcF7B9RdxeONBSVKHKDMolgE7646HaucmiIhnAacCd07y+qURMRgRg7t37571QiVJk+uUwewLgVsyc7TRi5m5MTMHMnNg6dKlLS5NkrpbmUGxi+qq7jHLa+cauRC7nSSpI5UZFJuBVRFxakQspBoGm8ZfFBHPBU4CvlNiLZKkGSotKDJzBLgMuAO4H7g5M++LiKsjYn3dpRcCN2VmllWLJGnmSpseC5CZtzPusamZ+f5xxx8sswZJ0tHplMHsjrTn8WHu3fkoex4fbncpktQ2pbYo5rKvbtnFu2/dyoKeHg5WKly7YQ3r1zac3StJ85otigb2PD7Mu2/dypMHKzw2PMKTBytceetWWxaSupJB0cDQ3v0s6Dny1izo6WFo7/42VSRJ7WNQNLD8pGM5WKkcce5gpcLyk45tU0WS1D4GRQOLF/Vz7YY1HLOgh+P7+zhmQQ/XbljD4kX97S5NklrOwexJrF+7jHUrlzC0dz/LTzrWkJDUtQyKAosX9RsQkrqeXU+SpEIGhSSpkEEhSSpkUEiSChkUkqRCBoUkqZBBIUkqZFBIkgoZFJKkQgaFJKmQQSFJKmRQSJIKGRSSpEIGhSSpkEEhSSpkUEiSChkUkqRCBoUkqZBBIUkqZFBIkgoZFJKkQgaFJKmQQSFJKmRQSJIKGRSSpEIGhSSpUKlBERHnRMQDEbEjIq6a5JoLImJ7RNwXEV8osx5J0vT1lfXBEdELXA+8BhgCNkfEpszcXnfNKuA9wLrM3BsRTyurHknSzJTZojgL2JGZD2bmAeAm4Lxx17wVuD4z9wJk5sMl1iNJmoEyg2IZsLPueKh2rt5pwGkR8e2IuDsizmn0QRFxaUQMRsTg7t27SypXktRIuwez+4BVwCuBi4AbIuLE8Rdl5sbMHMjMgaVLl7a2QknqcmUGxS5gRd3x8tq5ekPApsw8mJk/An5ANTgkSR2izKDYDKyKiFMjYiFwIbBp3DVfodqaICKWUO2KerDEmiRJ01RaUGTmCHAZcAdwP3BzZt4XEVdHxPraZXcAeyJiO3AXcEVm7imrJknS9EVmtruGaRkYGMjBwcF2lyFJc0pE3JOZAzN5b7sHsyVJHc6gkCQVMigkSYUMCklSIYNCklTIoJAkFTIoJEmFDApJUiGDQpJUyKCQJBUyKCRJhQwKSVIhg0KSVMigkCQVMigkSYUMCklSIYNCklTIoJAkFTIoJEmFDApJUiGDQpJUyKCQJBUyKCRJhQwKSVIhg0KSVMigkCQVMigkSYUMCklSIYNCklTIoJAkFTIoJEmFDApJUiGDQpJUyKCQJBUyKCRJhUoNiog4JyIeiIgdEXFVg9ffFBG7I2JL7c+/K7MeSdL09ZX1wRHRC1wPvAYYAjZHxKbM3D7u0i9l5mVl1SFJOjpltijOAnZk5oOZeQC4CTivxL9PklSC0loUwDJgZ93xEPDiBtdtiIiXAz8A3pGZO8dfEBGXApfWDocjYttsFztHLQEeaXcRHcJ7cZj34jDvxWHPmekbywyKZnwN+GJmDkfE24C/BH59/EWZuRHYCBARg5k50NoyO5P34jDvxWHei8O8F4dFxOBM31tm19MuYEXd8fLauUMyc09mDtcOPwv8aon1SJJmoMyg2AysiohTI2IhcCGwqf6CiHhG3eF64P4S65EkzUBpXU+ZORIRlwF3AL3AjZl5X0RcDQxm5ibgjyJiPTAC/AJ4UxMfvbGsmucg78Vh3ovDvBeHeS8Om/G9iMyczUIkSfOMK7MlSYUMCklSoY4Niia2/+iPiC/VXv9uRJzShjJbool78R8jYntEbI2If4iIZ7WjzlaY6l7UXbchIjIi5u3UyGbuRURcUPu3cV9EfKHVNbZKE/+PnBwRd0XE92r/n5zbjjrLFhE3RsTDk601i6o/r92nrRHxwqY+ODM77g/Vwe8fAv8KWAjcC6wed80fAp+p/Xwh1a1A2l57m+7Fq4Cn1H7+g26+F7Xrjge+CdwNDLS77jb+u1gFfA84qXb8tHbX3cZ7sRH4g9rPq4Eft7vuku7Fy4EXAtsmef1c4O+AAM4GvtvM53Zqi6KZ7T/Oo7pAD+AW4NURES2ssVWmvBeZeVdmPlE7vJvqmpX5qNltYa4BPgo82criWqyZe/FW4PrM3AuQmQ+3uMZWaeZeJHBC7eenAg+1sL6WycxvUp1BOpnzgM9n1d3AieOWKTTUqUHRaPuPZZNdk5kjwD5gcUuqa61m7kW9t1D9jWE+mvJe1JrSKzLz660srA2a+XdxGnBaRHw7Iu6OiHNaVl1rNXMvPghcHBFDwO3A5a0preNM9/sEaP8WHppFEXExMAC8ot21tENE9ACfoLn1ON2gj2r30yuptjK/GRHPz8xH21lUm1wEfC4zPx4RLwH+KiLOyMxKuwubCzq1RTHl9h/110REH9Xm5J6WVNdazdwLIuJfA+8F1ufhbVHmm6nuxfHAGcA3IuLHVPtgN83TAe1m/l0MAZsy82Bm/ojqxpurWlRfKzVzL94C3AyQmd8BjqG6YWC3aer7ZLxODYopt/+oHf9+7efzgTuzNlozzzSzFcoLgL+gGhLztR8aprgXmbkvM5dk5imZeQrV8Zr1mTnjzdA6WDP/j3yFamuCiFhCtSvqwRbW2CrN3IufAq8GiIjnUQ2K3S2tsjNsAi6pzX46G9iXmT+b6k0d2fWUzW3/8V+pNh93UB28ubB9FZenyXtxHbAI+HJtPP+nmbm+bUWXpMl70RWavBd3AL8REduBUeCKzJx3re4m78U7gRsi4h1UB7bfNB9/sYyIL1L95WBJbTzmA8ACgMz8DNXxmXOBHcATwJub+tx5eK8kSbOoU7ueJEkdwqCQJBUyKCRJhQwKSVIhg0KSVMigkEoSEb8dEavbXYd0tAwKqQS13QJ+m+pOpdKcZlBIk4iIUyLinyLibyLi/oi4JSKeEhHvj4jNEbEtIjaO7VocEd+IiP8cEYPAu4H1wHURsSUinh0R/7fus1fVH0udzKCQij0H+FRmPg/4F6rPQflkZr4oM88AjgVeV3f9wswcyMwPU90u4YrMXJuZPwT2RcTa2nVvBv5by/4rpKNgUEjFdmbmt2s//zXwUuBVUX2q4veBXwdOr7v+SwWf9VngzRHRC7wBmLdPnNP8YlBIxcbvcZPAp4DzM/P5wA1UN5gb88uCz7oVeC3VFsg983HfJc1PBoVU7OTa8wsA3gh8q/bzIxGxiOrOxZN5jOrW5wBk5pNUN677NHY7aQ4xKKRiDwBvj4j7gZOofsnfAGyj+qW/ueC9NwFXRMT3IuLZtXN/A1SA/1FeydLscvdYaRIRcQpwW23QerY+813AUzPzfbP1mVLZOvJ5FNJ8FBF/Czyb6gC4NGfYopAkFXKMQpJUyKCQJBUyKCRJhQwKSVIhg0KSVOj/A/fVF7vpE0esAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"ל\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "id": "fuzzy-evans",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 343,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"ג\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "id": "geographic-australia",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 344,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SkUEhSSoyKCRJRQaFJKnIoJAkFRkUkqQig0KSVGRQSJKKDApJUpFBIUkqMigkSUUGhSSpyKCQJBUZFJKkIoNCklRkUEiSiioNiog4PyIej4itEXHdFG3eHRFbIuLRiPjrKuuRJB29WVV9cET0AzcDbwWGgY0RsSEztzS1WQF8BDgvM3dHxIuqqkeSND1VjijOAbZm5rbM3A/cDlw4oc3lwM2ZuRsgM5+ssB5J0jRUGRRLge1N28ONfc1eAbwiIr4VEQ9ExPmTfVBEXBERQxExtHPnzorKlSRNptOT2bOAFcAbgYuBWyLipImNMnNdZg5m5uCSJUvaW6Ek9bgqg2IHsLxpe1ljX7NhYENmjmbmD4DvUg8OSVKXqDIoNgIrIuLUiJgNXARsmNDmy9RHE0TEYuqXorZVWJMk6ShVFhSZOQZcBdwDPAbckZmPRsSNEbG60eweYFdEbAHuBT6cmbuqqkmSdPQiMztdw1EZHBzMoaGhTpchSceViNiUmYPTObbTk9mSpC5nUEiSigwKSVKRQSFJKjIoJElFBoUkqcigkCQVGRSSpCKDQpJUZFBIkooMCklSkUEhSSoyKCRJRQaFJKnIoJAkFRkUkqQig0KSVGRQSJKKDApJUpFBIUkqMigkSUUGhSSpyKCQJBUZFJKkIoNCklRkUEiSigwKSVKRQSFJKjIoJElFBoUkqcigkCQVGRSSpCKDQpJUZFBIkooMCklSUaVBERHnR8TjEbE1Iq6b5P1LI2JnRDzU+PPbVdYjSTp6s6r64IjoB24G3goMAxsjYkNmbpnQ9EuZeVVVdUiSnp8qRxTnAFszc1tm7gduBy6s8OdJkipQ2YgCWApsb9oeBs6dpN2aiPh14LvAhzJz+8QGEXEFcEVjcyQiHjnWxR6nFgNPdbqILmFfHGJfHGJfHPLK6R5YZVC04i7gtswciYjfAf4CePPERpm5DlgHEBFDmTnY3jK7k31xiH1xiH1xiH1xSEQMTffYKi897QCWN20va+w7KDN3ZeZIY/NzwK9WWI8kaRqqDIqNwIqIODUiZgMXARuaG0TES5s2VwOPVViPJGkaKrv0lJljEXEVcA/QD3w+Mx+NiBuBoczcAPybiFgNjAE/Ay5t4aPXVVXzcci+OMS+OMS+OMS+OGTafRGZeSwLkSTNMD6ZLUkqMigkSUVdGxQtLP8xJyK+1Hj/2xFxSgfKbIsW+uLfR8SWiNgcEV+LiJM7UWc7HKkvmtqtiYiMiBl7a2QrfRER727823g0Iv663TW2Swv/R14WEfdGxION/ycXdKLOqkXE5yPiyameNYu6P2v00+aIOLulD87MrvtDffL7+8A/AWYDDwMrJ7T5IPCZxuuLqC8F0vHaO9QXbwJe0Hj9gV7ui0a7BcB9wAPAYKfr7uC/ixXAg8DCxvaLOl13B/tiHfCBxuuVwA87XXdFffHrwNnAI1O8fwHwt0AArwO+3crnduuIopXlPy6k/oAewJ3AWyIi2lhjuxyxLzLz3sz8ZWPzAerPrMxErS4L80fAHwP72llcm7XSF5cDN2fmboDMfLLNNbZLK32RwImN1y8EftLG+tomM++jfgfpVC4Ebs26B4CTJjymMKluDYrJlv9YOlWbzBwDngEWtaW69mqlL5pdRv03hpnoiH3RGEovz8yvtrOwDmjl38UrgFdExLci4oGIOL9t1bVXK33xceCSiBgG7gaubk9pXedozydA55fw0DEUEZcAg8AbOl1LJ0REH/CntPY8Ti+YRf3y0xupjzLvi4hfycynO1lUh1wMfCEz/yQiXg/8ZUS8OjNrnS7seNCtI4ojLv/R3CYiZlEfTu5qS3Xt1UpfEBH/FPgDYHUeWhZlpjlSXywAXg18IyJ+SP0a7IYZOqHdyr+LYWBDZo5m5g+oL7y5ok31tVMrfXEZcAdAZt4PnEB9wcBe09L5ZKJuDYojLv/R2P7Nxut3AV/PxmzNDNPKUiivAT5LPSRm6nVoOEJfZOYzmbk4M0/JzFOoz9eszsxpL4bWxVr5P/Jl6qMJImIx9UtR29pYY7u00hc/Bt4CEBGvoh4UO9taZXfYAPzrxt1PrwOeycyfHumgrrz0lK0t//Hn1IePW6lP3lzUuYqr02JffBKYD/z3xnz+jzNzdceKrkiLfdETWuyLe4B/FhFbgHHgw5k540bdLfbF7wG3RMSHqE9sXzoTf7GMiNuo/3KwuDEfcz0wAJCZn6E+P3MBsBX4JfD+lj53BvaVJOkY6tZLT5KkLmFQSJKKDApJUpFBIUkqMigkSUUGhVSRiHhnRKzsdB3S82VQSBVorBbwTuorlUrHNYNCmkJEnBIR34mIv4qIxyLizoh4QUR8LCI2RsQjEbHuwKrFEfGNiPgvETEEXAusBj4ZEQ9FxMsj4v81ffaK5m2pmxkUUtkrgU9l5quAn1P/HpSbMvO1mflqYC7w9qb2szNzMDM/QX25hA9n5lmZ+X3gmYg4q9Hu/cB/a9vfQnoeDAqpbHtmfqvx+ovArwFvivq3Kv4D8GbgjKb2Xyp81ueA90dEP/AeYMZ+45xmFoNCKpu4xk0CnwLelZm/AtxCfYG5A35R+Kz1wNuoj0A2zcR1lzQzGRRS2csa318A8F7gm43XT0XEfOorF0/lWepLnwOQmfuoL1z3abzspOOIQSGVPQ5cGRGPAQupn+RvAR6hftLfWDj2duDDEfFgRLy8se+vgBrwv6orWTq2XD1WmkJEnAL8j8ak9bH6zN8HXpiZHz1WnylVrSu/j0KaiSLib4CXU58Al44bjigkSUXOUUiSigwKSVKRQSFJKjIoJElFBoUkqej/A23FYDPJucV8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"אמת\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acquired-clear",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "marked-calgary",
   "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": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}