path: root/stats.py.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 382,
   "id": "israeli-perth",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_theme(style=\"darkgrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "id": "brave-marsh",
   "metadata": {},
   "outputs": [],
   "source": [
    "static_keys = [\"סמל ועדה\", \"שם ישוב\", \"בזב\", \"מצביעים\", \"פסולים\", \"כשרים\"]\n",
    "\n",
    "def load_cities_data():\n",
    "    vals = range(21, 25)\n",
    "    indexes = [0,1,1,1]  # first file has no סמל ועדה column\n",
    "    dfs = [pd.read_csv(f\"cities/{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\"]\n",
    "    return dfs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "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": [
    "dfs = load_cities_data()\n",
    "print(dfs[3].keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "id": "dependent-stadium",
   "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": 383,
   "id": "adjustable-pastor",
   "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",
    "    odf = odf[odf[\"party\"] > 0.05]\n",
    "    \n",
    "    return sns.regplot(x=\"party\", y=\"votes\", data=odf);\n",
    "    \n",
    "    g = odf.plot.scatter(y=\"votes\", x=\"party\")\n",
    "    m, c = fit_line(x=odf[\"party\"], y=odf[\"votes\"])\n",
    "    m, b = np.polyfit(odf[\"party\"], odf[\"votes\"], 1)\n",
    "    g.set_xlim(0, 1)\n",
    "    g.set_ylim(0.5, 1)\n",
    "    x = odf[\"party\"].to_numpy()\n",
    "    g.plot(x, m*x+b, color=\"red\")\n",
    "    return g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "id": "conceptual-liberal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>מחל</th>\n",
       "      <th>שס</th>\n",
       "      <th>ודעם</th>\n",
       "      <th>פה</th>\n",
       "      <th>ל</th>\n",
       "      <th>ג</th>\n",
       "      <th>אמת</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>שם ישוב</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>אום אלפחם</th>\n",
       "      <td>2.687500</td>\n",
       "      <td>1.083333</td>\n",
       "      <td>0.436388</td>\n",
       "      <td>1.200000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.227273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>אופקים</th>\n",
       "      <td>0.761945</td>\n",
       "      <td>0.932208</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.488142</td>\n",
       "      <td>0.743292</td>\n",
       "      <td>1.028207</td>\n",
       "      <td>0.654321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>אור יהודה</th>\n",
       "      <td>0.829278</td>\n",
       "      <td>0.856481</td>\n",
       "      <td>0.562500</td>\n",
       "      <td>0.422553</td>\n",
       "      <td>0.826331</td>\n",
       "      <td>0.602041</td>\n",
       "      <td>0.824373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>אור עקיבא</th>\n",
       "      <td>0.803556</td>\n",
       "      <td>0.838681</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.584626</td>\n",
       "      <td>0.766290</td>\n",
       "      <td>0.678832</td>\n",
       "      <td>0.994872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>אילת</th>\n",
       "      <td>0.788089</td>\n",
       "      <td>0.764416</td>\n",
       "      <td>0.379747</td>\n",
       "      <td>0.460652</td>\n",
       "      <td>0.971963</td>\n",
       "      <td>0.524324</td>\n",
       "      <td>0.984724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>רעננה</th>\n",
       "      <td>0.734019</td>\n",
       "      <td>0.875202</td>\n",
       "      <td>0.369748</td>\n",
       "      <td>0.519085</td>\n",
       "      <td>1.070635</td>\n",
       "      <td>0.661247</td>\n",
       "      <td>1.062368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>שדרות</th>\n",
       "      <td>0.761988</td>\n",
       "      <td>0.922330</td>\n",
       "      <td>0.516129</td>\n",
       "      <td>0.442543</td>\n",
       "      <td>0.695527</td>\n",
       "      <td>0.441441</td>\n",
       "      <td>0.438687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>שוהם</th>\n",
       "      <td>0.748437</td>\n",
       "      <td>0.893004</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.518784</td>\n",
       "      <td>1.081560</td>\n",
       "      <td>0.566667</td>\n",
       "      <td>1.092841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>שפרעם</th>\n",
       "      <td>2.181373</td>\n",
       "      <td>1.058824</td>\n",
       "      <td>0.450079</td>\n",
       "      <td>0.379784</td>\n",
       "      <td>0.957500</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.991903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>תל אביב  יפו</th>\n",
       "      <td>0.763720</td>\n",
       "      <td>0.851865</td>\n",
       "      <td>0.443705</td>\n",
       "      <td>0.450189</td>\n",
       "      <td>1.117818</td>\n",
       "      <td>0.734832</td>\n",
       "      <td>0.999278</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>101 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   מחל        שס      ודעם        פה         ל         ג  \\\n",
       "שם ישוב                                                                    \n",
       "אום אלפחם     2.687500  1.083333  0.436388  1.200000  0.750000  1.000000   \n",
       "אופקים        0.761945  0.932208  0.333333  0.488142  0.743292  1.028207   \n",
       "אור יהודה     0.829278  0.856481  0.562500  0.422553  0.826331  0.602041   \n",
       "אור עקיבא     0.803556  0.838681  0.083333  0.584626  0.766290  0.678832   \n",
       "אילת          0.788089  0.764416  0.379747  0.460652  0.971963  0.524324   \n",
       "...                ...       ...       ...       ...       ...       ...   \n",
       "רעננה         0.734019  0.875202  0.369748  0.519085  1.070635  0.661247   \n",
       "שדרות         0.761988  0.922330  0.516129  0.442543  0.695527  0.441441   \n",
       "שוהם          0.748437  0.893004  0.666667  0.518784  1.081560  0.566667   \n",
       "שפרעם         2.181373  1.058824  0.450079  0.379784  0.957500  0.500000   \n",
       "תל אביב  יפו  0.763720  0.851865  0.443705  0.450189  1.117818  0.734832   \n",
       "\n",
       "                   אמת  \n",
       "שם ישוב                 \n",
       "אום אלפחם     0.227273  \n",
       "אופקים        0.654321  \n",
       "אור יהודה     0.824373  \n",
       "אור עקיבא     0.994872  \n",
       "אילת          0.984724  \n",
       "...                ...  \n",
       "רעננה         1.062368  \n",
       "שדרות         0.438687  \n",
       "שוהם          1.092841  \n",
       "שפרעם         0.991903  \n",
       "תל אביב  יפו  0.999278  \n",
       "\n",
       "[101 rows x 7 columns]"
      ]
     },
     "execution_count": 384,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parties = [\"מחל\", \"שס\", \"ודעם\", \"פה\", \"ל\", \"ג\", \"אמת\"]\n",
    "\n",
    "rate3 = df3[\"מצביעים\"] / df3[\"בזב\"]\n",
    "rate2 = df2[\"מצביעים\"] / df2[\"בזב\"]\n",
    "\n",
    "df3[parties] / df2[parties]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "id": "composed-railway",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 385,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"מחל\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "id": "turkish-tribune",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 386,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"שס\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "id": "unlimited-things",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 387,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"ודעם\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "id": "great-expense",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 388,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"פה\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "id": "collective-territory",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 389,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"ל\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "id": "interracial-savage",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 390,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"ג\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "id": "still-reform",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 391,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_party(\"אמת\")"
   ]
  }
 ],
 "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
}