{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "israeli-perth", "metadata": {}, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 199, "id": "inside-heart", "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": "frozen-benchmark", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 141, "id": "welsh-folder", "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": 270, "id": "transparent-ownership", "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, 1.1)\n", " return g" ] }, { "cell_type": "code", "execution_count": 271, "id": "cosmetic-faith", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 271, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "scatter_party(\"מחל\")" ] }, { "cell_type": "code", "execution_count": 272, "id": "studied-cosmetic", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 272, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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