mirror of
https://github.com/openstate/stembureau-meting.git
synced 2024-09-19 20:29:39 +02:00
re-added table, percentages in comment below
This commit is contained in:
Lillian Oostrom
parent
acdeab3788
commit
6c34aa2265
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"<AxesSubplot:title={'center':'Plot van de gemeenten uit de CBS Wijk- en buurtkaart 2021'}>"
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"Text(0.5, 1.0, 'Stembureaus op de gemeentekaart van het CBS')"
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"outputs": [],
|
||||
"source": [
|
||||
|
|
@ -5271,7 +5271,79 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 85,
|
||||
"execution_count": 122,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
" Gemeente Naam stembureau dist gemeentecode \\\n",
|
||||
"68130 Vlieland Sporthal Flidunen 8023.806656 GM0096 \n",
|
||||
"\n",
|
||||
" geometry gemeente Kiesgerechtigde bevolking \\\n",
|
||||
"68130 POINT (127250.000 586750.000) Vlieland 1 \n",
|
||||
"\n",
|
||||
" binned \n",
|
||||
"68130 1; 0-10.000 stemgerechtigden \n",
|
||||
" Gemeente Naam stembureau dist gemeentecode \\\n",
|
||||
"62349 Zeewolde Panta Rhei 9173.600947 GM0050 \n",
|
||||
"\n",
|
||||
" geometry gemeente Kiesgerechtigde bevolking \\\n",
|
||||
"62349 POINT (159750.000 491750.000) Zeewolde 18.3 \n",
|
||||
"\n",
|
||||
" binned \n",
|
||||
"62349 2; 10.000-30.000 stemgerechtigden \n",
|
||||
" Gemeente Naam stembureau dist gemeentecode \\\n",
|
||||
"28821 Harderwijk Drive-In op parkeerplaats P2 8167.139659 GM0243 \n",
|
||||
"\n",
|
||||
" geometry gemeente Kiesgerechtigde bevolking \\\n",
|
||||
"28821 POINT (167250.000 492250.000) Harderwijk 38 \n",
|
||||
"\n",
|
||||
" binned \n",
|
||||
"28821 3; 30.000-60.000 stemgerechtigden \n",
|
||||
" Gemeente Naam stembureau dist \\\n",
|
||||
"20280 Lelystad Voormalige Scholengemeenschap De Rietlanden 9028.79007 \n",
|
||||
"\n",
|
||||
" gemeentecode geometry gemeente \\\n",
|
||||
"20280 GM0995 POINT (159250.000 492250.000) Lelystad \n",
|
||||
"\n",
|
||||
" Kiesgerechtigde bevolking binned \n",
|
||||
"20280 62.9 4; 60.000-100.000 stemgerechtigden \n",
|
||||
" Gemeente Naam stembureau dist gemeentecode \\\n",
|
||||
"22807 Almere Buurthuis De Cartoon 7706.818285 GM0034 \n",
|
||||
"\n",
|
||||
" geometry gemeente Kiesgerechtigde bevolking \\\n",
|
||||
"22807 POINT (157750.000 490250.000) Almere 164 \n",
|
||||
"\n",
|
||||
" binned \n",
|
||||
"22807 5; 100.000-350.000 stemgerechtigden \n",
|
||||
" Gemeente Naam stembureau dist gemeentecode \\\n",
|
||||
"11552 Rotterdam Dorpskerk 5983.140982 GM0599 \n",
|
||||
"\n",
|
||||
" geometry gemeente Kiesgerechtigde bevolking \\\n",
|
||||
"11552 POINT (66750.000 438250.000) Rotterdam 516.8 \n",
|
||||
"\n",
|
||||
" binned \n",
|
||||
"11552 6; >350.000 stemgerechtigden \n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"df_dist_nonbin = df_nearest[['Gemeente', 'Naam stembureau', 'dist', \"CBS gemeentecode\", \"geometry\"]].rename(columns = {'CBS gemeentecode': 'gemeentecode'})\n",
|
||||
"df_dist_bin = pd.merge(df_dist_nonbin, df_stemger_clean, on = 'gemeentecode')\n",
|
||||
"\n",
|
||||
"df_furthest_binned = pd.DataFrame()\n",
|
||||
"\n",
|
||||
"for label in labels: \n",
|
||||
" print(df_dist_bin[df_dist_bin['binned'].str.fullmatch(label)].sort_values(by=['dist'])[::-1].head(1))\n",
|
||||
" df_furthest_binned = df_furthest_binned.append(df_dist_bin[df_dist_bin['binned'].str.fullmatch(label)].sort_values(by=['dist'])[::-1].head(1))\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 90,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
|
@ -5347,7 +5419,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 99,
|
||||
"execution_count": 91,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
|
@ -5356,7 +5428,7 @@
|
|||
"[Text(0, 0, '14 maart'), Text(1, 0, '15 maart'), Text(2, 0, '16 maart')]"
|
||||
]
|
||||
},
|
||||
"execution_count": 99,
|
||||
"execution_count": 91,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
|
|
@ -5407,7 +5479,199 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 42,
|
||||
"execution_count": 123,
|
||||
"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 tr th {\n",
|
||||
" text-align: left;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead tr:last-of-type th {\n",
|
||||
" text-align: right;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr>\n",
|
||||
" <th></th>\n",
|
||||
" <th colspan=\"12\" halign=\"left\">aantal</th>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>staffel</th>\n",
|
||||
" <th colspan=\"2\" halign=\"left\">1; 0-10.000 stemgerechtigden</th>\n",
|
||||
" <th colspan=\"2\" halign=\"left\">2; 10.000-30.000 stemgerechtigden</th>\n",
|
||||
" <th colspan=\"2\" halign=\"left\">3; 30.000-60.000 stemgerechtigden</th>\n",
|
||||
" <th colspan=\"2\" halign=\"left\">4; 60.000-100.000 stemgerechtigden</th>\n",
|
||||
" <th colspan=\"2\" halign=\"left\">5; 100.000-350.000 stemgerechtigden</th>\n",
|
||||
" <th colspan=\"2\" halign=\"left\">6; >350.000 stemgerechtigden</th>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>standaard</th>\n",
|
||||
" <th>True</th>\n",
|
||||
" <th>False</th>\n",
|
||||
" <th>True</th>\n",
|
||||
" <th>False</th>\n",
|
||||
" <th>True</th>\n",
|
||||
" <th>False</th>\n",
|
||||
" <th>True</th>\n",
|
||||
" <th>False</th>\n",
|
||||
" <th>True</th>\n",
|
||||
" <th>False</th>\n",
|
||||
" <th>True</th>\n",
|
||||
" <th>False</th>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>dag</th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></th>\n",
|
||||
" <th></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>14 maart</th>\n",
|
||||
" <td>28</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>421</td>\n",
|
||||
" <td>15</td>\n",
|
||||
" <td>346</td>\n",
|
||||
" <td>11</td>\n",
|
||||
" <td>177</td>\n",
|
||||
" <td>3</td>\n",
|
||||
" <td>197</td>\n",
|
||||
" <td>13</td>\n",
|
||||
" <td>151</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>15 maart</th>\n",
|
||||
" <td>29</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>427</td>\n",
|
||||
" <td>16</td>\n",
|
||||
" <td>347</td>\n",
|
||||
" <td>16</td>\n",
|
||||
" <td>182</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>192</td>\n",
|
||||
" <td>15</td>\n",
|
||||
" <td>151</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>16 maart</th>\n",
|
||||
" <td>126</td>\n",
|
||||
" <td>3</td>\n",
|
||||
" <td>2150</td>\n",
|
||||
" <td>101</td>\n",
|
||||
" <td>2196</td>\n",
|
||||
" <td>65</td>\n",
|
||||
" <td>950</td>\n",
|
||||
" <td>27</td>\n",
|
||||
" <td>1361</td>\n",
|
||||
" <td>37</td>\n",
|
||||
" <td>1010</td>\n",
|
||||
" <td>5</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" aantal \\\n",
|
||||
"staffel 1; 0-10.000 stemgerechtigden \n",
|
||||
"standaard True False \n",
|
||||
"dag \n",
|
||||
"14 maart 28 0 \n",
|
||||
"15 maart 29 4 \n",
|
||||
"16 maart 126 3 \n",
|
||||
"\n",
|
||||
" \\\n",
|
||||
"staffel 2; 10.000-30.000 stemgerechtigden \n",
|
||||
"standaard True False \n",
|
||||
"dag \n",
|
||||
"14 maart 421 15 \n",
|
||||
"15 maart 427 16 \n",
|
||||
"16 maart 2150 101 \n",
|
||||
"\n",
|
||||
" \\\n",
|
||||
"staffel 3; 30.000-60.000 stemgerechtigden \n",
|
||||
"standaard True False \n",
|
||||
"dag \n",
|
||||
"14 maart 346 11 \n",
|
||||
"15 maart 347 16 \n",
|
||||
"16 maart 2196 65 \n",
|
||||
"\n",
|
||||
" \\\n",
|
||||
"staffel 4; 60.000-100.000 stemgerechtigden \n",
|
||||
"standaard True False \n",
|
||||
"dag \n",
|
||||
"14 maart 177 3 \n",
|
||||
"15 maart 182 1 \n",
|
||||
"16 maart 950 27 \n",
|
||||
"\n",
|
||||
" \\\n",
|
||||
"staffel 5; 100.000-350.000 stemgerechtigden \n",
|
||||
"standaard True False \n",
|
||||
"dag \n",
|
||||
"14 maart 197 13 \n",
|
||||
"15 maart 192 15 \n",
|
||||
"16 maart 1361 37 \n",
|
||||
"\n",
|
||||
" \n",
|
||||
"staffel 6; >350.000 stemgerechtigden \n",
|
||||
"standaard True False \n",
|
||||
"dag \n",
|
||||
"14 maart 151 1 \n",
|
||||
"15 maart 151 1 \n",
|
||||
"16 maart 1010 5 "
|
||||
]
|
||||
},
|
||||
"execution_count": 123,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"df_open_standaard_full.pivot(index='dag', columns=['staffel', 'standaard'], values=['aantal'])\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Staffel 1 2 3 4 5 6 \n",
|
||||
"14 maart 0% 3.4% 3.1% 1.7% 6.2% 0.7%\n",
|
||||
"15 maart 12.1% 3.6% 4.4% 0.5% 7.2% 0.7%\n",
|
||||
"16 maart 2.3% 4.5% 2.9% 2.8% 2.6% 0.5%"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 92,
|
||||
"metadata": {
|
||||
"scrolled": false
|
||||
},
|
||||
|
|
@ -5626,7 +5890,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 43,
|
||||
"execution_count": 93,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
|
|
@ -5636,7 +5900,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 44,
|
||||
"execution_count": 94,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
|
|
@ -5662,7 +5926,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 45,
|
||||
"execution_count": 95,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
|
@ -5684,7 +5948,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 46,
|
||||
"execution_count": 96,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
|
@ -5705,7 +5969,7 @@
|
|||
"\u001b[0;31mInvalidComparison\u001b[0m: 2022-03-14 07:30:00+00:00",
|
||||
"\nDuring handling of the above exception, another exception occurred:\n",
|
||||
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32m/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb Cell 65'\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000063?line=0'>1</a>\u001b[0m filtered_datestack_1 \u001b[39m=\u001b[39m wims_datestack_grouped\u001b[39m.\u001b[39mloc[(pd\u001b[39m.\u001b[39;49mto_datetime(wims_datestack_grouped[\u001b[39m'\u001b[39;49m\u001b[39mOpeningstijden\u001b[39;49m\u001b[39m'\u001b[39;49m]) \u001b[39m>\u001b[39;49m\u001b[39m=\u001b[39;49m pd\u001b[39m.\u001b[39;49mto_datetime(\u001b[39m'\u001b[39;49m\u001b[39m2022-03-14T07:30:00.000Z\u001b[39;49m\u001b[39m'\u001b[39;49m))\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000063?line=1'>2</a>\u001b[0m \u001b[39m&\u001b[39m (pd\u001b[39m.\u001b[39mto_datetime(wims_datestack_grouped[\u001b[39m'\u001b[39m\u001b[39mOpeningstijden\u001b[39m\u001b[39m'\u001b[39m]) \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mto_datetime(\u001b[39m'\u001b[39m\u001b[39m2022-03-14T21:00:00.000Z\u001b[39m\u001b[39m'\u001b[39m))]\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000063?line=2'>3</a>\u001b[0m graph_open_stacked(filtered_datestack_1)\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000063?line=3'>4</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000063?line=4'>5</a>\u001b[0m \u001b[39mfiltered_datestack_2 = wims_datestack_grouped.loc[(pd.to_datetime(((wims_datestack_grouped['Openingstijden'])) >= pd.to_datetime('2022-03-15T07:30:00.000Z')))\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000063?line=5'>6</a>\u001b[0m \u001b[39m & (pd.to_datetime(wims_datestack_grouped['Openingstijden']) <= pd.to_datetime('2022-03-15T21:00:00.000Z'))]\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000063?line=9'>10</a>\u001b[0m \u001b[39mgraph_open_stacked(filtered_datestack_3)\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000063?line=10'>11</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n",
|
||||
"\u001b[1;32m/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb Cell 66'\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000065?line=0'>1</a>\u001b[0m filtered_datestack_1 \u001b[39m=\u001b[39m wims_datestack_grouped\u001b[39m.\u001b[39mloc[(pd\u001b[39m.\u001b[39;49mto_datetime(wims_datestack_grouped[\u001b[39m'\u001b[39;49m\u001b[39mOpeningstijden\u001b[39;49m\u001b[39m'\u001b[39;49m]) \u001b[39m>\u001b[39;49m\u001b[39m=\u001b[39;49m pd\u001b[39m.\u001b[39;49mto_datetime(\u001b[39m'\u001b[39;49m\u001b[39m2022-03-14T07:30:00.000Z\u001b[39;49m\u001b[39m'\u001b[39;49m))\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000065?line=1'>2</a>\u001b[0m \u001b[39m&\u001b[39m (pd\u001b[39m.\u001b[39mto_datetime(wims_datestack_grouped[\u001b[39m'\u001b[39m\u001b[39mOpeningstijden\u001b[39m\u001b[39m'\u001b[39m]) \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mto_datetime(\u001b[39m'\u001b[39m\u001b[39m2022-03-14T21:00:00.000Z\u001b[39m\u001b[39m'\u001b[39m))]\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000065?line=2'>3</a>\u001b[0m graph_open_stacked(filtered_datestack_1)\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000065?line=3'>4</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000065?line=4'>5</a>\u001b[0m \u001b[39mfiltered_datestack_2 = wims_datestack_grouped.loc[(pd.to_datetime(((wims_datestack_grouped['Openingstijden'])) >= pd.to_datetime('2022-03-15T07:30:00.000Z')))\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000065?line=5'>6</a>\u001b[0m \u001b[39m & (pd.to_datetime(wims_datestack_grouped['Openingstijden']) <= pd.to_datetime('2022-03-15T21:00:00.000Z'))]\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000065?line=9'>10</a>\u001b[0m \u001b[39mgraph_open_stacked(filtered_datestack_3)\u001b[39;00m\n\u001b[1;32m <a href='vscode-notebook-cell:/home/lillian/Code/stembureau-meting/jupyter/stembureau_data.ipynb#ch0000065?line=10'>11</a>\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n",
|
||||
"File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/ops/common.py:70\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer.<locals>.new_method\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/ops/common.py?line=65'>66</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mNotImplemented\u001b[39m\n\u001b[1;32m <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/ops/common.py?line=67'>68</a>\u001b[0m other \u001b[39m=\u001b[39m item_from_zerodim(other)\n\u001b[0;32m---> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/ops/common.py?line=69'>70</a>\u001b[0m \u001b[39mreturn\u001b[39;00m method(\u001b[39mself\u001b[39;49m, other)\n",
|
||||
"File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/arraylike.py:60\u001b[0m, in \u001b[0;36mOpsMixin.__ge__\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/arraylike.py?line=57'>58</a>\u001b[0m \u001b[39m@unpack_zerodim_and_defer\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39m__ge__\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/arraylike.py?line=58'>59</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__ge__\u001b[39m(\u001b[39mself\u001b[39m, other):\n\u001b[0;32m---> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/arraylike.py?line=59'>60</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_cmp_method(other, operator\u001b[39m.\u001b[39;49mge)\n",
|
||||
"File \u001b[0;32m~/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/series.py:5623\u001b[0m, in \u001b[0;36mSeries._cmp_method\u001b[0;34m(self, other, op)\u001b[0m\n\u001b[1;32m <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/series.py?line=5619'>5620</a>\u001b[0m rvalues \u001b[39m=\u001b[39m extract_array(other, extract_numpy\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m, extract_range\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m)\n\u001b[1;32m <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/series.py?line=5621'>5622</a>\u001b[0m \u001b[39mwith\u001b[39;00m np\u001b[39m.\u001b[39merrstate(\u001b[39mall\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mignore\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[0;32m-> <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/series.py?line=5622'>5623</a>\u001b[0m res_values \u001b[39m=\u001b[39m ops\u001b[39m.\u001b[39;49mcomparison_op(lvalues, rvalues, op)\n\u001b[1;32m <a href='file:///home/lillian/.conda/envs/stembureaus/lib/python3.10/site-packages/pandas/core/series.py?line=5624'>5625</a>\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_construct_result(res_values, name\u001b[39m=\u001b[39mres_name)\n",
|
||||
|
|
@ -5741,7 +6005,7 @@
|
|||
},
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
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|
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|
|||
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|
||||
{
|
||||
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|
||||
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|
||||
"execution_count": 98,
|
||||
"metadata": {},
|
||||
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|
||||
{
|
||||
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|||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
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|
||||
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|
||||
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|
||||
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|
||||
"execution_count": 101,
|
||||
"metadata": {},
|
||||
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|
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{
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|
||||
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|
||||
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|
||||
"execution_count": 65,
|
||||
"execution_count": 102,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
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|||
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|
||||
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|
||||
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|
||||
"execution_count": 65,
|
||||
"execution_count": 102,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
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@ -6275,7 +6539,7 @@
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|||
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|
||||
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|
||||
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||||
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||||
"execution_count": 103,
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||||
"metadata": {},
|
||||
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|
||||
{
|
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|||
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|
||||
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|
||||
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|
||||
"execution_count": 67,
|
||||
"execution_count": 104,
|
||||
"metadata": {},
|
||||
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|
||||
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|
||||
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|
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|
|||
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|
||||
{
|
||||
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|
||||
"execution_count": 68,
|
||||
"execution_count": 105,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
|
@ -6362,7 +6626,7 @@
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|||
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|
||||
{
|
||||
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|
||||
"execution_count": 69,
|
||||
"execution_count": 106,
|
||||
"metadata": {},
|
||||
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|
||||
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|
||||
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|
|||
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|
||||
{
|
||||
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|
||||
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|
||||
"execution_count": 107,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
|
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|
|||
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|
||||
{
|
||||
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|
||||
"execution_count": 71,
|
||||
"execution_count": 108,
|
||||
"metadata": {},
|
||||
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|
||||
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|
||||
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|
@ -6481,7 +6745,7 @@
|
|||
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|
||||
{
|
||||
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|
||||
"execution_count": 72,
|
||||
"execution_count": 109,
|
||||
"metadata": {},
|
||||
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|
||||
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|
||||
|
|
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|
|||
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|
||||
{
|
||||
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|
||||
"execution_count": 73,
|
||||
"execution_count": 110,
|
||||
"metadata": {},
|
||||
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|
||||
{
|
||||
|
|
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|
|||
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|
||||
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|
||||
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|
||||
"execution_count": 74,
|
||||
"execution_count": 111,
|
||||
"metadata": {},
|
||||
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|
||||
{
|
||||
|
|
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|
|||
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|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 75,
|
||||
"execution_count": 112,
|
||||
"metadata": {},
|
||||
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|
||||
{
|
||||
|
|
@ -6720,7 +6984,7 @@
|
|||
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|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 76,
|
||||
"execution_count": 113,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
|
|
|
|||
Loading…
Reference in a new issue