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|
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "israeli-perth",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 199,
"id": "crazy-guard",
"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": "sporting-kentucky",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 141,
"id": "tested-memory",
"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": 278,
"id": "miniature-serve",
"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": 279,
"id": "continental-alpha",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='party', ylabel='votes'>"
]
},
"execution_count": 279,
"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": 280,
"id": "divine-memorial",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='party', ylabel='votes'>"
]
},
"execution_count": 280,
"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": 281,
"id": "universal-headset",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:xlabel='party', ylabel='votes'>"
]
},
"execution_count": 281,
"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": null,
"id": "documentary-radar",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "combined-affiliation",
"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
}
|
