From 393c5338c071e6756f54dda5057f1a21de02da9f Mon Sep 17 00:00:00 2001
From: Yuval Adam <_@yuv.al>
Date: Fri, 26 Mar 2021 00:12:55 +0200
Subject: Initial commit

---
 stats.py.ipynb | 2155 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 2155 insertions(+)
 create mode 100644 stats.py.ipynb

(limited to 'stats.py.ipynb')

diff --git a/stats.py.ipynb b/stats.py.ipynb
new file mode 100644
index 0000000..9356e62
--- /dev/null
+++ b/stats.py.ipynb
@@ -0,0 +1,2155 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "israeli-perth",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "id": "expected-regard",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.options.plotting.backend = \"plotly\""
+   ]
+  },
+  {
+   "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": "focal-spectrum",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "id": "decreased-turtle",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2 = dfs[2].sort_values(by=['בזב'], ascending=False)[:50]\n",
+    "df3 = dfs[3].sort_values(by=['בזב'], ascending=False)[:50]"
+   ]
+  },
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+     "metadata": {},
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+   "source": [
+    "rate3 = df3[\"מצביעים\"] / df3[\"בזב\"]\n",
+    "rate2 = df2[\"מצביעים\"] / df2[\"בזב\"]\n",
+    "lik3 = df3[\"מחל\"] / rate3\n",
+    "lik2 = df2[\"מחל\"] / rate2\n",
+    "odf = pd.DataFrame({\n",
+    "    \"rates\": rate3 / rate2,\n",
+    "    \"likud\": lik3 / lik2\n",
+    "})\n",
+    "odf.sort_values(by=\"rates\", ascending=True)[:100]\n",
+    "odf.plot.scatter(x=\"rates\", y=\"likud\")"
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+  },
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+   "execution_count": 149,
+   "id": "boxed-leadership",
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+       "                            \n",
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+       "var x = new MutationObserver(function (mutations, observer) {{\n",
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+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
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+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "rate3 = df3[\"מצביעים\"] / df3[\"בזב\"]\n",
+    "rate2 = df2[\"מצביעים\"] / df2[\"בזב\"]\n",
+    "lik3 = df3[\"ודעם\"] / rate3\n",
+    "lik2 = df2[\"ודעם\"] / rate2\n",
+    "odf = pd.DataFrame({\n",
+    "    \"rates\": rate3 / rate2,\n",
+    "    \"meretz\": lik3 / lik2\n",
+    "})\n",
+    "odf.sort_values(by=\"rates\", ascending=True)[:100]\n",
+    "odf.plot.scatter(x=\"rates\", y=\"meretz\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "former-reynolds",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "conceptual-handy",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
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+   "pygments_lexer": "ipython3",
+   "version": "3.9.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
-- 
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