diff options
Diffstat (limited to 'stats.py.ipynb')
| -rw-r--r-- | stats.py.ipynb | 306 |
1 files changed, 248 insertions, 58 deletions
diff --git a/stats.py.ipynb b/stats.py.ipynb index 023a5a6..eff8cdd 100644 --- a/stats.py.ipynb +++ b/stats.py.ipynb @@ -2,18 +2,19 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 351, "id": "israeli-perth", "metadata": {}, "outputs": [], "source": [ - "import pandas as pd" + "import pandas as pd\n", + "import numpy as np" ] }, { "cell_type": "code", "execution_count": 199, - "id": "norman-frequency", + "id": "viral-evans", "metadata": {}, "outputs": [], "source": [ @@ -71,16 +72,8 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "wicked-manitoba", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", "execution_count": 296, - "id": "finite-acoustic", + "id": "ahead-monday", "metadata": {}, "outputs": [], "source": [ @@ -90,8 +83,8 @@ }, { "cell_type": "code", - "execution_count": 337, - "id": "distant-festival", + "execution_count": 358, + "id": "competent-contemporary", "metadata": {}, "outputs": [], "source": [ @@ -105,16 +98,229 @@ " \"party\": df2[p] / df2[\"מצביעים\"],\n", " \"name\": df3[p]\n", " })\n", - " g = odf[(odf[\"party\"] > 0.05) & (odf[\"party\"] < 1)].plot.scatter(y=\"votes\", x=\"party\")\n", + " odf = odf[odf[\"party\"] > 0.05]\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": 338, - "id": "piano-reconstruction", + "execution_count": 370, + "id": "warming-afghanistan", + "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": 370, + "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": 359, + "id": "romantic-position", "metadata": {}, "outputs": [ { @@ -123,13 +329,13 @@ "<AxesSubplot:xlabel='party', ylabel='votes'>" ] }, - "execution_count": 338, + "execution_count": 359, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -146,8 +352,8 @@ }, { "cell_type": "code", - "execution_count": 339, - "id": "oriental-yield", + "execution_count": 360, + "id": "comparable-width", "metadata": {}, "outputs": [ { @@ -156,13 +362,13 @@ "<AxesSubplot:xlabel='party', ylabel='votes'>" ] }, - "execution_count": 339, + "execution_count": 360, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -179,8 +385,8 @@ }, { "cell_type": "code", - "execution_count": 340, - "id": "removable-manual", + "execution_count": 362, + "id": "million-melbourne", "metadata": {}, "outputs": [ { @@ -189,7 +395,7 @@ "<AxesSubplot:xlabel='party', ylabel='votes'>" ] }, - "execution_count": 340, + "execution_count": 362, "metadata": {}, "output_type": "execute_result" }, @@ -212,8 +418,8 @@ }, { "cell_type": "code", - "execution_count": 341, - "id": "right-value", + "execution_count": 363, + "id": "precise-baker", "metadata": {}, "outputs": [ { @@ -222,13 +428,13 @@ "<AxesSubplot:xlabel='party', ylabel='votes'>" ] }, - "execution_count": 341, + "execution_count": 363, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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AgZt09/Ykazdu5eBvfJnRd94evEdpo5S3PvsCG8f8Ba3jx7Cy87VB6z5ffMw0zphzQKQbbqWf6qupe6yIVF59Jgp3eOIJOPJI2LkTCJJC1Cqju1Y8zRW/eomGhNGXcq47aRYOLL5t8FN49qpwpdxsq+GpXuMXRCSjPrvHTpkSrJUcYten5jHqgftp/8MrQ0cpz540pIF7d7raFjJcgwFFRKq2e6yZzQP+BWgAbnL37+a8PwW4GZgIvA6c6e5dccYEwPXXw2WXwdixbDzzfE7YOpVtuwZmbB3X3Mjt583hsIYG5s+exIz992HNpjeYPXm/vJPsrd30RixtCnqqF5FqEFuiMLMGYAnwSaALWG1m7e6ePXTgeuBWd/+JmR1L0HforLhi6nfyycEPsPf2JD3XPDTo7ez2gCiDzyrdpiAiEqc4p/A4Auh09xfdfRdwF0MXPpsBZO7SK/K8H5vMtBpQeMbWQrO85i5MpJlORaSWxVn1NAnYlPW6C5iTs89a4HME1VOfBcaZWYu7d2fvZGaLgEUABxxwwG4Hlq+UkK/huZRuquopJCK1qtKTAn4N+ISZPQl8AthMZrhzFndf6u5t7t42ceLE3frAsLUgDpu836AbfLmjt5UkRKSWxFmi2AxMznrdmt7Wz91fJihRYGZjgYXu/kaMMZVUSih39LYm0RORWhJnolgNTDezAwkSxGnAGdk7mNkE4HV3TwHfIOgBFatSG55LGb2tSfREpBbFVvXk7r3AhcCDwNPA3e6+3sy+bWbz07sdDTxrZs8B7wa+E1c8GeU0PLeMbR5SLZWRKaFky5RQRERqQazjKNz9AeCBnG3fyvp9GbAszhjyGc6GZ3WNFZFaV+nG7IoJKyWU6oKjp9HcaOoaKyI1qT7nehom2Y3YYCw66n2RJ/4TEdlT1G2JYnfldrNN9qZY8nBnpcMSERl2ShRlUiO2iNQLJYoyqRFbROqFEkWZNL+TiNQLNWbvBs3vJCL1QIliN2nNCBGpdap6EhGRUEoUIiISSomiTJmFj3IXMRIRqTVqoyiDphUXkXqiEkWJoi6PKiJSK5QoSqQR2SJSb5QoSqQR2YWp3UakNqmNokRRl0etN2q3EaldShRl0IjswbQcrEhtU6Iok0ZkD8i022SSBAy02+gaiez51EYhu03tNiK1TYmiCDXQFqeZdEVqm6qeQqiBNjq124jULiWKAtRAWzq124jUJlU9FaCBdSIiASWKAtRAKyISUKIoQA20IiIBtVGEUAOtiIgSRVFqoBWReqeqJxERCaVEISIioZQoREQklBKFiIiEUqIQEZFQShQiIhJKiUJERELFmijMbJ6ZPWtmnWZ2aZ73DzCzFWb2pJmtM7Pj44xHRERKF1uiMLMGYAnwaWAGcLqZzcjZ7TLgbnc/HDgN+EFc8cgArbEhIqWIc2T2EUCnu78IYGZ3AQuADVn7OLBP+vd9gZdjjEfQGhsiUro4q54mAZuyXnelt2W7EjjTzLqAB4CL8p3IzBaZWYeZdWzZsiWOWOtC9hob25K97OxJccnydSpZiEioSjdmnw7c4u6twPHAbWY2JCZ3X+rube7eNnHixBEPslZojQ0RKUeciWIzMDnrdWt6W7YvAHcDuPvvgNHAhBhjqmtaY0NEyhFnolgNTDezA81sFEFjdXvOPhuB4wDM7AMEiUJ1SzHRGhsiUo7YGrPdvdfMLgQeBBqAm919vZl9G+hw93bgYuBGM/sKQcP2Oe7uccUkWmNDREpne9p9ua2tzTs6OiodhojIHsXMHnf3tnKOrXRjtoiIVDklChERCaVEISIioZQoREQklBKFiIiEKpoozGyume2d/v1MM/tnM5sSf2giIlINopQofgi8Y2aHEYx7eAG4NdaoRESkakRJFL3pQXALgBvcfQkwLt6wRESkWkQZmb3NzL4BnAX8ZXrSvqZ4wxIRkWoRpURxKpAE/tbdXyGY3O+6WKMSEZGqUTRRpJPDciAzKdBrwL/HGZSIiFSPKL2ezgeWAT9Ob5oE/DzGmEREpIpEqXq6AJgLvAXg7s8D74ozKBERqR5REkXS3XdlXphZI8GU4CIiUgeiJIrfmNk/AGPM7JPAPcB98YYlIiLVIkqiuJRg1bk/AF8EHnD3b8YalYiIVI0o4ygucvd/AW7MbDCzv09vExGRGhelRPE3ebadM8xxiIhIlSpYojCz04EzgAPNrD3rrX2A1+MOTEREqkNY1dNvgT8DE4DvZW3fBqyLMygREakeBROFu/8J+BPwMTN7N/CR9FtPu3vvSAQnIiKVF2Vk9snA74GTgVOAVWZ2UtyBiYhIdYjS6+ky4CPu/iqAmU0EfkUwrYeIiNS4KL2eEpkkkdYd8TgREakBUUoUvzSzB4Gfpl+fCjwQX0giIlJNoiSKV4Hbgdnp10vdXdOMi4jUiShVSHsTTONxBPASQbdZERGpE1EWLrrK3WcSTDe+P8Ekgb+KPTIREakKpTRKvwq8QtCYrfUoRETqRJRxFH9nZg8DvwZagPPdfVbcgYmISHWI0pg9Gfhv7r4m5lhEpI50b0/StXUHrePH0DK2udLhSIiiicLdvzESgYhI/bh3zWYWL19HUyJBTyrFtQtnMX/2pEqHJQVo4JyIjKju7UkWL1/Hzp4U25K97OxJccnydXRvT1Y6NClAiUJERlTX1h00JQbfepoSCbq27qhQRFKMEoWIjKjW8WPoSaUGbetJpWgdP6ZCEUkxsSYKM5tnZs+aWaeZXZrn/f9hZmvSP8+Z2RtxxiMildcytplrF85idFOCcc2NjG5KcO3CWWrQrmJRej2VxcwagCXAJ4EuYLWZtbv7hsw+7v6VrP0vAg6PKx4RqR7zZ09i7rQJ6vW0h4gtURBM+dHp7i8CmNldwAJgQ4H9TweuiDEeEakiLWOblSD2EHFWPU0CNmW97kpvG8LMpgAHAg8VeH+RmXWYWceWLVuGPVARESmsWhqzTwOWuXtfvjfdfam7t7l728SJE0c4NBGR+hZnothMMKo7ozW9LZ/TGFjvQkREqkiciWI1MN3MDjSzUQTJoD13JzM7BBgP/C7GWEREpEyxJQp37wUuBB4Engbudvf1ZvZtM5uftetpwF3u7nHFIiIi5Yuz1xPu/gA5y6a6+7dyXl8ZZwwiIrJ7qqUxe0R1b0+ydtMbmltGRCSCWEsU1UizVoqIlKauShSatVJEpHR1lSg0a6WISOnqKlFo1koRkdLVVaLQrJUiIqWru8ZszVopIlKauksUoFkrRURKUVdVTyIiUjolChERCaVEISIioZQoREQklBKFiIiEUqIQEZFQShQiIhJKiUJEREIpUYiISCglChERCaVEISIioZQoREQklBKFiIiEUqIQEZFQShQiIhJKiUJEREIpUYiISCglChERCaVEISIioZQoREQklBKFiIiEUqIQEZFQShQiIhJKiUJEREIpUYiISCglChERCRVrojCzeWb2rJl1mtmlBfY5xcw2mNl6M7szznhERKR0jXGd2MwagCXAJ4EuYLWZtbv7hqx9pgPfAOa6+1Yze1dc8YiISHniLFEcAXS6+4vuvgu4C1iQs8/5wBJ33wrg7q/GGI+IiJQhzkQxCdiU9borvS3bQcBBZrbSzB4zs3n5TmRmi8ysw8w6tmzZElO4IiKST6UbsxuB6cDRwOnAjWa2X+5O7r7U3dvcvW3ixIkjG6GISJ2LM1FsBiZnvW5Nb8vWBbS7e4+7vwQ8R5A4RESkSsSZKFYD083sQDMbBZwGtOfs83OC0gRmNoGgKurFGGMSEZESxZYo3L0XuBB4EHgauNvd15vZt81sfnq3B4FuM9sArAC+7u7dccUkIiKlM3evdAwlaWtr846OjkqHISKyRzGzx929rZxjK92YLSIiVU6JQkREQilRiIhIKCUKEREJpUQhIiKhlChERCSUEoWIiIRSohARkVBKFCIiEkqJQkREQilRiIhIKCUKEREJpUQhIiKhlChERCSUEoWIiIRSohARkVBKFCIiEkqJQkREQilRiIhIKCUKEREJpUQhIiKhlChERCSUEoWIiIRSohARkVBKFCIiEkqJQkREQilRiIhIKCUKEREJpUQhIiKhlChERCSUEoWIiIRSohARkVBKFCIiEkqJQkREQilRiIhIqFgThZnNM7NnzazTzC7N8/45ZrbFzNakf86LMx4RESldY1wnNrMGYAnwSaALWG1m7e6+IWfXn7n7hXHFISIiuyfOEsURQKe7v+juu4C7gAUxfp6IiMQgthIFMAnYlPW6C5iTZ7+FZnYU8BzwFXfflLuDmS0CFqVfJs3sqeEOdg81AXit0kFUCV2LAboWA3QtBhxc7oFxJooo7gN+6u5JM/si8BPg2Nyd3H0psBTAzDrcvW1kw6xOuhYDdC0G6FoM0LUYYGYd5R4bZ9XTZmBy1uvW9LZ+7t7t7sn0y5uAD8cYj4iIlCHORLEamG5mB5rZKOA0oD17BzPbP+vlfODpGOMREZEyxFb15O69ZnYh8CDQANzs7uvN7NtAh7u3A182s/lAL/A6cE6EUy+NK+Y9kK7FAF2LAboWA3QtBpR9LczdhzMQERGpMRqZLSIioZQoREQkVNUmigjTfzSb2c/S768ys6kVCHNERLgWXzWzDWa2zsx+bWZTKhHnSCh2LbL2W2hmbmY12zUyyrUws1PSfxvrzezOkY5xpET4N3KAma0wsyfT/06Or0SccTOzm83s1UJjzSzw/fR1WmdmH4p0Ynevuh+Cxu8XgPcBo4C1wIycff4O+FH699MIpgKpeOwVuhbHAHulf/9SPV+L9H7jgEeAx4C2Ssddwb+L6cCTwPj063dVOu4KXoulwJfSv88A/ljpuGO6FkcBHwKeKvD+8cAvAQM+CqyKct5qLVFEmf5jAcEAPYBlwHFmZiMY40gpei3cfYW7v5N++RjBmJVaFHVamKuBa4CdIxncCItyLc4Hlrj7VgB3f3WEYxwpUa6FA/ukf98XeHkE4xsx7v4IQQ/SQhYAt3rgMWC/nGEKeVVrosg3/cekQvu4ey/wJtAyItGNrCjXItsXCJ4YalHRa5EuSk9291+MZGAVEOXv4iDgIDNbaWaPmdm8EYtuZEW5FlcCZ5pZF/AAcNHIhFZ1Sr2fAJWfwkOGkZmdCbQBn6h0LJVgZgngn4k2HqceNBJUPx1NUMp8xMw+6O5vVDKoCjkduMXdv2dmHwNuM7ND3T1V6cD2BNVaoig6/Uf2PmbWSFCc7B6R6EZWlGuBmf0X4JvAfB+YFqXWFLsW44BDgYfN7I8EdbDtNdqgHeXvogtod/ced3+JYOLN6SMU30iKci2+ANwN4O6/A0YTTBhYbyLdT3JVa6IoOv1H+vXfpH8/CXjI0601NSbKVCiHAz8mSBK1Wg8NRa6Fu7/p7hPcfaq7TyVor5nv7mVPhlbFovwb+TlBaQIzm0BQFfXiCMY4UqJci43AcQBm9gGCRLFlRKOsDu3A2eneTx8F3nT3Pxc7qCqrnjza9B//i6D42EnQeHNa5SKOT8RrcR0wFrgn3Z6/0d3nVyzomES8FnUh4rV4EPiUmW0A+oCvu3vNlbojXouLgRvN7CsEDdvn1OKDpZn9lODhYEK6PeYKoAnA3X9E0D5zPNAJvAOcG+m8NXitRERkGFVr1ZOIiFQJJQoREQmlRCEiIqGUKEREJJQShYiIhFKiEImJmf21mc2odBwiu0uJQiQG6dkC/ppgplKRPZoShUgBZjbVzJ4xszvM7GkzW2Zme5nZt8xstZk9ZWZLM7MWm9nDZvY/zawDWAzMB64zszVm9n4zeyLr3NOzX4tUMyUKkXAHAz9w9w8AbxGsg3KDu3/E3Q8FxgAnZu0/yt3b3P07BNMlfN3dZ7v7C8CbZjY7vd+5wP8esW8hshuUKETCbXL3lenfbweOBI6xYFXFPwDHAjOz9v9ZyLluAs41swbgVKBmV5yT2qJEIRIud44bB34AnOTuHwRuJJhgLuPtkHMtBz5NUAJ5vBbnXZLapEQhEu6A9PoFAGcAj6Z/f83MxhLMXFzINoKpzwFw950EE9f9EFU7yR5EiUIk3LPABWb2NDCe4CZ/I/AUwU1/dcixdwFfN7Mnzez96W13ACngP+ILWWR4afZYkQLMbCpwf7rRerjO+TVgX3e/fLjOKRK3qlyPQqQWmdm/A+8naAAX2WOoRCEiIqHURiEiIqGUKEREJJQShYiIhFKiEBGRUEoUIiIS6v8DFR5OFnBJDHwAAAAASUVORK5CYII=\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -245,8 +451,8 @@ }, { "cell_type": "code", - "execution_count": 342, - "id": "czech-romania", + "execution_count": 364, + "id": "danish-vanilla", "metadata": {}, "outputs": [ { @@ -255,13 +461,13 @@ "<AxesSubplot:xlabel='party', ylabel='votes'>" ] }, - "execution_count": 342, + "execution_count": 364, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -278,8 +484,8 @@ }, { "cell_type": "code", - "execution_count": 343, - "id": "fuzzy-evans", + "execution_count": 365, + "id": "ruled-diesel", "metadata": {}, "outputs": [ { @@ -288,13 +494,13 @@ "<AxesSubplot:xlabel='party', ylabel='votes'>" ] }, - "execution_count": 343, + "execution_count": 365, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -311,8 +517,8 @@ }, { "cell_type": "code", - "execution_count": 344, - "id": "geographic-australia", + "execution_count": 366, + "id": "acknowledged-surface", "metadata": {}, "outputs": [ { @@ -321,13 +527,13 @@ "<AxesSubplot:xlabel='party', ylabel='votes'>" ] }, - "execution_count": 344, + "execution_count": 366, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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SkUEhSSoyKCRJRQaFJKnIoJAkFRkUkqQig0KSVGRQSJKKDApJUpFBIUkqMigkSUUGhSSpyKCQJBUZFJKkIoNCklRkUEiSiioNiog4PyIej4itEXHdFG3eHRFbIuLRiPjrKuuRJB29WVV9cET0AzcDbwWGgY0RsSEztzS1WQF8BDgvM3dHxIuqqkeSND1VjijOAbZm5rbM3A/cDlw4oc3lwM2ZuRsgM5+ssB5J0jRUGRRLge1N28ONfc1eAbwiIr4VEQ9ExPmTfVBEXBERQxExtHPnzorKlSRNptOT2bOAFcAbgYuBWyLipImNMnNdZg5m5uCSJUvaW6Ek9bgqg2IHsLxpe1ljX7NhYENmjmbmD4DvUg8OSVKXqDIoNgIrIuLUiJgNXARsmNDmy9RHE0TEYuqXorZVWJMk6ShVFhSZOQZcBdwDPAbckZmPRsSNEbG60eweYFdEbAHuBT6cmbuqqkmSdPQiMztdw1EZHBzMoaGhTpchSceViNiUmYPTObbTk9mSpC5nUEiSigwKSVKRQSFJKjIoJElFBoUkqcigkCQVGRSSpCKDQpJUZFBIkooMCklSkUEhSSoyKCRJRQaFJKnIoJAkFRkUkqQig0KSVGRQSJKKDApJUpFBIUkqMigkSUUGhSSpyKCQJBUZFJKkIoNCklRkUEiSigwKSVKRQSFJKjIoJElFBoUkqcigkCQVGRSSpCKDQpJUZFBIkooMCklSUaVBERHnR8TjEbE1Iq6b5P1LI2JnRDzU+PPbVdYjSTp6s6r64IjoB24G3goMAxsjYkNmbpnQ9EuZeVVVdUiSnp8qRxTnAFszc1tm7gduBy6s8OdJkipQ2YgCWApsb9oeBs6dpN2aiPh14LvAhzJz+8QGEXEFcEVjcyQiHjnWxR6nFgNPdbqILmFfHGJfHGJfHPLK6R5YZVC04i7gtswciYjfAf4CePPERpm5DlgHEBFDmTnY3jK7k31xiH1xiH1xiH1xSEQMTffYKi897QCWN20va+w7KDN3ZeZIY/NzwK9WWI8kaRqqDIqNwIqIODUiZgMXARuaG0TES5s2VwOPVViPJGkaKrv0lJljEXEVcA/QD3w+Mx+NiBuBoczcAPybiFgNjAE/Ay5t4aPXVVXzcci+OMS+OMS+OMS+OGTafRGZeSwLkSTNMD6ZLUkqMigkSUVdGxQtLP8xJyK+1Hj/2xFxSgfKbIsW+uLfR8SWiNgcEV+LiJM7UWc7HKkvmtqtiYiMiBl7a2QrfRER727823g0Iv663TW2Swv/R14WEfdGxION/ycXdKLOqkXE5yPiyameNYu6P2v00+aIOLulD87MrvtDffL7+8A/AWYDDwMrJ7T5IPCZxuuLqC8F0vHaO9QXbwJe0Hj9gV7ui0a7BcB9wAPAYKfr7uC/ixXAg8DCxvaLOl13B/tiHfCBxuuVwA87XXdFffHrwNnAI1O8fwHwt0AArwO+3crnduuIopXlPy6k/oAewJ3AWyIi2lhjuxyxLzLz3sz8ZWPzAerPrMxErS4L80fAHwP72llcm7XSF5cDN2fmboDMfLLNNbZLK32RwImN1y8EftLG+tomM++jfgfpVC4Ebs26B4CTJjymMKluDYrJlv9YOlWbzBwDngEWtaW69mqlL5pdRv03hpnoiH3RGEovz8yvtrOwDmjl38UrgFdExLci4oGIOL9t1bVXK33xceCSiBgG7gaubk9pXedozydA55fw0DEUEZcAg8AbOl1LJ0REH/CntPY8Ti+YRf3y0xupjzLvi4hfycynO1lUh1wMfCEz/yQiXg/8ZUS8OjNrnS7seNCtI4ojLv/R3CYiZlEfTu5qS3Xt1UpfEBH/FPgDYHUeWhZlpjlSXywAXg18IyJ+SP0a7IYZOqHdyr+LYWBDZo5m5g+oL7y5ok31tVMrfXEZcAdAZt4PnEB9wcBe09L5ZKJuDYojLv/R2P7Nxut3AV/PxmzNDNPKUiivAT5LPSRm6nVoOEJfZOYzmbk4M0/JzFOoz9eszsxpL4bWxVr5P/Jl6qMJImIx9UtR29pYY7u00hc/Bt4CEBGvoh4UO9taZXfYAPzrxt1PrwOeycyfHumgrrz0lK0t//Hn1IePW6lP3lzUuYqr02JffBKYD/z3xnz+jzNzdceKrkiLfdETWuyLe4B/FhFbgHHgw5k540bdLfbF7wG3RMSHqE9sXzoTf7GMiNuo/3KwuDEfcz0wAJCZn6E+P3MBsBX4JfD+lj53BvaVJOkY6tZLT5KkLmFQSJKKDApJUpFBIUkqMigkSUUGhVSRiHhnRKzsdB3S82VQSBVorBbwTuorlUrHNYNCmkJEnBIR34mIv4qIxyLizoh4QUR8LCI2RsQjEbHuwKrFEfGNiPgvETEEXAusBj4ZEQ9FxMsj4v81ffaK5m2pmxkUUtkrgU9l5quAn1P/HpSbMvO1mflqYC7w9qb2szNzMDM/QX25hA9n5lmZ+X3gmYg4q9Hu/cB/a9vfQnoeDAqpbHtmfqvx+ovArwFvivq3Kv4D8GbgjKb2Xyp81ueA90dEP/AeYMZ+45xmFoNCKpu4xk0CnwLelZm/AtxCfYG5A35R+Kz1wNuoj0A2zcR1lzQzGRRS2csa318A8F7gm43XT0XEfOorF0/lWepLnwOQmfuoL1z3abzspOOIQSGVPQ5cGRGPAQupn+RvAR6hftLfWDj2duDDEfFgRLy8se+vgBrwv6orWTq2XD1WmkJEnAL8j8ak9bH6zN8HXpiZHz1WnylVrSu/j0KaiSLib4CXU58Al44bjigkSUXOUUiSigwKSVKRQSFJKjIoJElFBoUkqej/A23FYDPJucV8AAAAAElFTkSuQmCC\n", + "image/png": 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\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] @@ -341,22 +547,6 @@ "source": [ "scatter_party(\"אמת\")" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "acquired-clear", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "marked-calgary", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { |