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Sicco van Sas 2022-06-10 14:00:12 +02:00
parent a50dc1a191
commit 1e3e94e237
2 changed files with 144 additions and 140 deletions
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@ -28,7 +28,7 @@
},
{
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@ -38,7 +38,7 @@
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"cell_type": "code",
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"source": [
@ -59,7 +59,7 @@
},
{
"cell_type": "code",
"execution_count": 91,
"execution_count": 3,
"metadata": {},
"outputs": [
{
@ -68,7 +68,7 @@
"<AxesSubplot:title={'center':'Plot van de gemeenten uit de CBS Wijk- en buurtkaart 2021'}>"
]
},
"execution_count": 91,
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
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@ -101,7 +101,7 @@
},
{
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{
@ -177,7 +177,7 @@
},
{
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"execution_count": 5,
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"outputs": [
{
@ -186,7 +186,7 @@
"Text(0.5, 1.0, 'Stembureaus op de gemeentekaart van het CBS')"
]
},
"execution_count": 93,
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
@ -221,7 +221,7 @@
},
{
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{
@ -1032,7 +1032,7 @@
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{
@ -1231,7 +1231,7 @@
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@ -1251,7 +1251,7 @@
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{
"cell_type": "code",
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{
@ -1663,7 +1663,7 @@
"[9275 rows x 40 columns]"
]
},
"execution_count": 98,
"execution_count": 10,
"metadata": {},
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@ -1675,7 +1675,7 @@
},
{
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@ -1688,7 +1688,7 @@
},
{
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@ -1697,7 +1697,7 @@
},
{
"cell_type": "code",
"execution_count": 101,
"execution_count": 13,
"metadata": {},
"outputs": [
{
@ -2122,7 +2122,7 @@
"[9275 rows x 41 columns]"
]
},
"execution_count": 101,
"execution_count": 13,
"metadata": {},
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@ -2139,7 +2139,7 @@
},
{
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"execution_count": 14,
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{
@ -2564,7 +2564,7 @@
"[8582 rows x 41 columns]"
]
},
"execution_count": 233,
"execution_count": 14,
"metadata": {},
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}
@ -2584,9 +2584,9 @@
"\n",
"Het aantal stembureaus: 9275\n",
"\n",
"Het aantal stemlokalen: 8089\n",
"Het aantal stemlokalen: 8582\n",
"\n",
"Er zijn dus 1186 stembureaus gevestigd op een locatie van minimaal één ander stembureau."
"Er zijn dus 693 stembureaus gevestigd op een locatie van minimaal één ander stembureau."
]
},
{
@ -2599,7 +2599,7 @@
},
{
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"execution_count": 15,
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{
@ -2608,7 +2608,7 @@
"<AxesSubplot:>"
]
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"execution_count": 103,
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@ -2640,7 +2640,7 @@
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{
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{
@ -2649,7 +2649,7 @@
"<AxesSubplot:>"
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@ -2681,7 +2681,7 @@
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{
@ -2690,7 +2690,7 @@
"<AxesSubplot:>"
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@ -2721,7 +2721,7 @@
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@ -2771,7 +2771,7 @@
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{
@ -2921,7 +2921,7 @@
"[151108 rows x 4 columns]"
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@ -2942,7 +2942,7 @@
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{
@ -3143,7 +3143,7 @@
"[3 rows x 38 columns]"
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@ -3178,7 +3178,7 @@
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{
@ -3187,7 +3187,7 @@
"<AxesSubplot:>"
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@ -3212,7 +3212,7 @@
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{
@ -3221,7 +3221,7 @@
"<AxesSubplot:>"
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@ -3251,7 +3251,7 @@
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@ -3298,7 +3298,7 @@
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@ -3317,7 +3317,7 @@
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{
@ -3472,7 +3472,7 @@
"[140002 rows x 5 columns]"
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@ -3489,7 +3489,7 @@
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{
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@ -3724,7 +3724,7 @@
"[5 rows x 46 columns]"
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@ -3768,7 +3768,7 @@
},
{
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{
@ -4193,7 +4193,7 @@
"[140002 rows x 46 columns]"
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@ -4209,7 +4209,7 @@
},
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{
@ -4327,7 +4327,7 @@
"[68131 rows x 3 columns]"
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@ -4339,7 +4339,7 @@
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@ -4353,7 +4353,7 @@
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{
@ -4379,7 +4379,7 @@
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@ -4403,7 +4403,7 @@
},
{
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@ -4434,7 +4434,7 @@
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@ -4451,7 +4451,7 @@
},
{
"cell_type": "code",
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"execution_count": 35,
"metadata": {},
"outputs": [
{
@ -4487,7 +4487,7 @@
"Name: Gemeente, dtype: int64"
]
},
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}
@ -4505,7 +4505,7 @@
},
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@ -4528,7 +4528,7 @@
},
{
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{
@ -4832,7 +4832,7 @@
"[8582 rows x 12 columns]"
]
},
"execution_count": 125,
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}
@ -4849,7 +4849,7 @@
},
{
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"outputs": [
{
@ -5153,7 +5153,7 @@
"[8582 rows x 12 columns]"
]
},
"execution_count": 126,
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}
@ -5165,7 +5165,7 @@
},
{
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@ -5265,7 +5265,7 @@
},
{
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"execution_count": 40,
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@ -5280,7 +5280,7 @@
},
{
"cell_type": "code",
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"execution_count": 41,
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@ -5290,7 +5290,7 @@
},
{
"cell_type": "code",
"execution_count": 130,
"execution_count": 42,
"metadata": {},
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{
@ -5362,7 +5362,7 @@
},
{
"cell_type": "code",
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"metadata": {},
"outputs": [
{
@ -5438,7 +5438,7 @@
},
{
"cell_type": "code",
"execution_count": 132,
"execution_count": 44,
"metadata": {},
"outputs": [
{
@ -5447,7 +5447,7 @@
"[Text(0, 0, '14 maart'), Text(1, 0, '15 maart'), Text(2, 0, '16 maart')]"
]
},
"execution_count": 132,
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
},
@ -5498,7 +5498,7 @@
},
{
"cell_type": "code",
"execution_count": 133,
"execution_count": 45,
"metadata": {},
"outputs": [
{
@ -5668,29 +5668,33 @@
"16 maart 1015 5 "
]
},
"execution_count": 133,
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_open_standaard_full.pivot(index='dag', columns=['staffel', 'standaard'], values=['aantal'])\n",
"\n"
"df_open_standaard_full.pivot(index='dag', columns=['staffel', 'standaard'], values=['aantal'])"
]
},
{
"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%"
"Even snel met een spreadsheet berekende percentages:\n",
"\n",
"Staffel 1\t\t2\t\t3\t\t4\t\t5\t\t6\t\t\tNL\n",
"\n",
"14 maart\t0.0\t\t3.5\t\t3.0\t\t1.4\t\t5.4\t\t0.7\t\t\t3.0\n",
"\n",
"15 maart\t11.4\t\t3.6\t\t4.2\t\t0.9\t\t7.3\t\t0.7\t\t\t3.8\n",
"\n",
"16 maart\t2.3\t\t4.4\t\t2.8\t\t2.7\t\t2.6\t\t0.5\t\t\t2.9"
]
},
{
"cell_type": "code",
"execution_count": 134,
"execution_count": 46,
"metadata": {
"scrolled": false
},
@ -5909,7 +5913,7 @@
},
{
"cell_type": "code",
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"execution_count": 47,
"metadata": {},
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"source": [
@ -5919,7 +5923,7 @@
},
{
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"execution_count": 48,
"metadata": {},
"outputs": [],
"source": [
@ -5945,7 +5949,7 @@
},
{
"cell_type": "code",
"execution_count": 137,
"execution_count": 49,
"metadata": {},
"outputs": [
{
@ -5967,7 +5971,7 @@
},
{
"cell_type": "code",
"execution_count": 138,
"execution_count": 50,
"metadata": {},
"outputs": [
{
@ -5988,7 +5992,7 @@
"\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[0;32m/tmp/ipykernel_4625/3510751849.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m filtered_datestack_1 = wims_datestack_grouped.loc[(pd.to_datetime(wims_datestack_grouped['Openingstijden']) >= pd.to_datetime('2022-03-14T07:30:00.000Z'))\n\u001b[0m\u001b[1;32m 2\u001b[0m & (pd.to_datetime(wims_datestack_grouped['Openingstijden']) <= pd.to_datetime('2022-03-14T21:00:00.000Z'))]\n\u001b[1;32m 3\u001b[0m \u001b[0mgraph_open_stacked\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfiltered_datestack_1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \"\"\"\n\u001b[1;32m 5\u001b[0m filtered_datestack_2 = wims_datestack_grouped.loc[(pd.to_datetime(((wims_datestack_grouped['Openingstijden'])) >= pd.to_datetime('2022-03-15T07:30:00.000Z')))\n",
"\u001b[0;32m/tmp/ipykernel_77990/3510751849.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m filtered_datestack_1 = wims_datestack_grouped.loc[(pd.to_datetime(wims_datestack_grouped['Openingstijden']) >= pd.to_datetime('2022-03-14T07:30:00.000Z'))\n\u001b[0m\u001b[1;32m 2\u001b[0m & (pd.to_datetime(wims_datestack_grouped['Openingstijden']) <= pd.to_datetime('2022-03-14T21:00:00.000Z'))]\n\u001b[1;32m 3\u001b[0m \u001b[0mgraph_open_stacked\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfiltered_datestack_1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \"\"\"\n\u001b[1;32m 5\u001b[0m filtered_datestack_2 = wims_datestack_grouped.loc[(pd.to_datetime(((wims_datestack_grouped['Openingstijden'])) >= pd.to_datetime('2022-03-15T07:30:00.000Z')))\n",
"\u001b[0;32m~/.local/lib/python3.8/site-packages/pandas/core/ops/common.py\u001b[0m in \u001b[0;36mnew_method\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m 68\u001b[0m \u001b[0mother\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mitem_from_zerodim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 69\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 70\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 71\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 72\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mnew_method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/.local/lib/python3.8/site-packages/pandas/core/arraylike.py\u001b[0m in \u001b[0;36m__ge__\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m 58\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0munpack_zerodim_and_defer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"__ge__\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 59\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__ge__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 60\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cmp_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mother\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moperator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mge\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 61\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[0;31m# -------------------------------------------------------------\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/.local/lib/python3.8/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m_cmp_method\u001b[0;34m(self, other, op)\u001b[0m\n\u001b[1;32m 5621\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5622\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrstate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mall\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"ignore\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 5623\u001b[0;31m \u001b[0mres_values\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcomparison_op\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5624\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5625\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_construct_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mres_values\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mres_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
@ -6024,7 +6028,7 @@
},
{
"cell_type": "code",
"execution_count": 139,
"execution_count": 51,
"metadata": {},
"outputs": [
{
@ -6191,7 +6195,7 @@
},
{
"cell_type": "code",
"execution_count": 140,
"execution_count": 52,
"metadata": {},
"outputs": [
{
@ -6236,7 +6240,7 @@
},
{
"cell_type": "code",
"execution_count": 141,
"execution_count": 53,
"metadata": {},
"outputs": [
{
@ -6277,7 +6281,7 @@
},
{
"cell_type": "code",
"execution_count": 142,
"execution_count": 54,
"metadata": {},
"outputs": [
{
@ -6300,7 +6304,7 @@
},
{
"cell_type": "code",
"execution_count": 143,
"execution_count": 55,
"metadata": {},
"outputs": [
{
@ -6514,7 +6518,7 @@
},
{
"cell_type": "code",
"execution_count": 144,
"execution_count": 56,
"metadata": {},
"outputs": [
{
@ -6538,7 +6542,7 @@
"dtype: float64"
]
},
"execution_count": 144,
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
@ -6558,7 +6562,7 @@
},
{
"cell_type": "code",
"execution_count": 145,
"execution_count": 57,
"metadata": {},
"outputs": [
{
@ -6591,7 +6595,7 @@
},
{
"cell_type": "code",
"execution_count": 146,
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
@ -6602,7 +6606,7 @@
},
{
"cell_type": "code",
"execution_count": 147,
"execution_count": 59,
"metadata": {},
"outputs": [
{
@ -6645,7 +6649,7 @@
},
{
"cell_type": "code",
"execution_count": 301,
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
@ -6669,7 +6673,7 @@
},
{
"cell_type": "code",
"execution_count": 302,
"execution_count": 61,
"metadata": {},
"outputs": [
{
@ -6736,7 +6740,7 @@
},
{
"cell_type": "code",
"execution_count": 303,
"execution_count": 62,
"metadata": {},
"outputs": [],
"source": [
@ -6758,7 +6762,7 @@
},
{
"cell_type": "code",
"execution_count": 304,
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
@ -6769,7 +6773,7 @@
},
{
"cell_type": "code",
"execution_count": 305,
"execution_count": 64,
"metadata": {},
"outputs": [
{
@ -6864,7 +6868,7 @@
},
{
"cell_type": "code",
"execution_count": 306,
"execution_count": 65,
"metadata": {},
"outputs": [
{
@ -6916,7 +6920,7 @@
},
{
"cell_type": "code",
"execution_count": 307,
"execution_count": 66,
"metadata": {},
"outputs": [
{
@ -6997,7 +7001,7 @@
},
{
"cell_type": "code",
"execution_count": 308,
"execution_count": 67,
"metadata": {},
"outputs": [],
"source": [