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": "automatic-missile",
   "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": "compliant-bacteria",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "local-manhattan",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = dfs[2].sort_values(by=['בזב'], ascending=False)[:50]\n",
    "df3 = dfs[3].sort_values(by=['בזב'], ascending=False)[:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "id": "living-matrix",
   "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\"] < 1].plot.scatter(y=\"votes\", x=\"party\")\n",
    "    g.set_xlim(0, 1)\n",
    "    g.set_ylim(0, 1)\n",
    "    return g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "id": "negative-marker",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 287,
     "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": 288,
   "id": "controlled-chorus",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 288,
     "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": 289,
   "id": "vertical-affiliate",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 289,
     "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": 290,
   "id": "sized-singer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 290,
     "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": 293,
   "id": "resistant-custom",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 293,
     "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(\"ל\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "id": "international-rescue",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 294,
     "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": 295,
   "id": "temporal-falls",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='party', ylabel='votes'>"
      ]
     },
     "execution_count": 295,
     "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(\"אמת\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "martial-remedy",
   "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
}