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Karlsruhe_2019_data
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{
"cells": [
{
"cell_type": "code",
"execution_count": 141,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"from bs4 import BeautifulSoup\n",
"import requests\n",
"import numpy as np\n",
"from urllib.parse import quote\n",
"from time import sleep\n",
"import regex as re"
]
},
{
"cell_type": "code",
"execution_count": 633,
"metadata": {},
"outputs": [],
"source": [
"def get_page(link):\n",
" \n",
" \"\"\" Here, the code retrieves the web page and parses them according to html format.\n",
" Virtually everywhere, the names are stored within a 'div' category. This is done in here, too.\n",
" Headers fakes a real browser to access webpages.\n",
" Lastly, a list of all results is made (not sure if that's necessary, prob only in loop-context).\"\"\"\n",
" \n",
" headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}\n",
"\n",
" page_response = requests.get(link, headers = headers)\n",
" page_content = BeautifulSoup(page_response.content, 'html')\n",
" text = page_content.get_text() \n",
"\n",
" return text\n",
"\n",
"\n",
"def split_string_capital_letters(data):\n",
" \"\"\"Here, we split along every capital letter that is is not at the beginning or end of a string\"\"\"\n",
" \n",
" data_new = re.findall('[A-Z][^A-Z]*', data)\n",
" return data_new\n",
"\n",
"\n",
"def extract_names(data, dataframe):\n",
" \"\"\" Get anything following (symbolized by ()) an \\n tag\n",
" if different tag used -> change \\n for other tag (\\n tags a new line).\n",
" 1 for dataframe means a transformation into a dataframe is desired. \"\"\"\n",
" \n",
" core = re.findall(r\"\\n(.*)\", data) \n",
" if dataframe == 1:\n",
" data_new = pd.DataFrame(data=core, columns=['Name_total'])\n",
" return data_new\n",
" else:\n",
" return core\n"
]
},
{
"cell_type": "code",
"execution_count": 380,
"metadata": {},
"outputs": [],
"source": [
"###############################################################################\n",
"############################ Work on dataframe ################################\n",
"###############################################################################\n",
"\n",
"\n",
"def strip_string(data):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" \n",
" data_new = data['person'].apply(str)\n",
" data_new_2 = data_new.str.split('<div', expand = True)\n",
" return data_new_2\n",
"\n",
"def strip_string_1(data):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" \n",
" data_new = data['person'].apply(str)\n",
" data_new_2 = data_new.str.split('>', expand = True)\n",
" return data_new_2\n",
"\n",
"\n",
"def strip_string_2(data, column):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" data_new = data[column].apply(str)\n",
" data_new_2 = data_new.str.split(',', expand = True)\n",
" return data_new_2\n",
"\n",
"def strip_string_3(data, column):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" data_new = data[column].apply(str)\n",
" data_new_2 = data_new.str.split(':', expand = True)\n",
" return data_new_2\n",
"\n",
"def strip_string_4(data):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" data_new = data['person'].apply(str)\n",
" data_new_2 = data_new.str.split('– ', expand = True)\n",
" return data_new_2\n",
"\n",
"def strip_string_5(data):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" \n",
" data_new = data['person'].apply(str)\n",
" data_new_2 = data_new.str.split('<section', expand = True)\n",
" return data_new_2\n",
"\n",
"def strip_string_6(data):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" \n",
" data_new = data['person'].apply(str)\n",
" data_new_2 = data_new.str.split('>', expand = True)\n",
" return data_new_2\n",
"\n",
"def strip_string_7(data):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" \n",
" data_new = data['person'].apply(str)\n",
" data_new_2 = data_new.str.split('<strong>', expand = True)\n",
" return data_new_2\n",
"\n",
"def strip_string_8(data):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" \n",
" data_new = data['person'].apply(str)\n",
" data_new_2 = data_new.str.split('tbody', expand = True)\n",
" return data_new_2\n",
"\n",
"def strip_string_9(data):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" \n",
" data_new = data['person'].apply(str)\n",
" data_new_2 = data_new.str.split('h2', expand = True)\n",
" return data_new_2\n",
"\n",
"\n",
"def drop_columns(data, column1, column2):\n",
" data_new = data.loc[:, [column1]]\n",
" data_new['Listenplatz'] = data.loc[:, [column2]]\n",
" data_new.columns = ['Name_total', 'Listenplatz']\n",
" return data_new\n",
"\n",
"def drop_strings_name(data, what, replacement):\n",
" data.Name_total = data.Name_total.str.replace(what, replacement)\n",
" return data\n",
" \n",
"def drop_strings_place(data, what, what2, replacement):\n",
" data.Listenplatz = data.Listenplatz.str.replace(what, replacement)\n",
" data.Listenplatz = data.Listenplatz.str.replace(what2, replacement)\n",
" return data\n",
"\n",
"def doctor(data, column):\n",
" \n",
" \"\"\" Identify the persons having Dr.\n",
" -> up to now: gives only the name of the person with a doctor title but not only the title\"\"\"\n",
" \n",
" new_2 = data[column].str.split('.', expand = True)\n",
" data['Doc'] = new_2[1]\n",
" data.Name_total = data.Name_total.str.replace('Dr.', '').str.replace('med.', ' ').str.replace('Priv.-Doz.', '').str.replace('Prof.', '')\n",
" return data\n",
"\n",
"def general_split(data):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" \n",
" data_new = data.apply(str)\n",
" data_new_2 = data_new.str.split('>', expand = True)\n",
" return data_new_2"
]
},
{
"cell_type": "code",
"execution_count": 284,
"metadata": {},
"outputs": [],
"source": [
"def split_data(data, sign):\n",
" \n",
" \"\"\" split string along '>' \n",
" -> generalize for any delimiter \"\"\"\n",
" data_new = data['Name_total'].apply(str)\n",
" data_new_2 = data_new.str.split('sign', expand = True)\n",
" \n",
" return data_new_2\n"
]
},
{
"cell_type": "code",
"execution_count": 595,
"metadata": {},
"outputs": [],
"source": [
"################################################################################################################\n",
"############################# Find links with names of new candidates ##########################################\n",
"################################################################################################################\n",
"\n",
"page_link_1 = 'https://spd-ka-2019.de/kandidatinnen/'\n",
"page_link_2 = 'https://www.cdu-karlsruhe.de/kw19/kandidaten/'\n",
"page_link_3 = 'https://gruenekarlsruhe.de/kandidatinnen-fuer-den-gemeinderat/'\n",
"page_link_4 = 'https://www.fdp-karlsruhe.de/programm-der-freien-demokraten-karlsruhe-zur-kommunalwahl-2019/'\n",
"page_link_5 = 'http://karlsruher-liste.de/kal-kandidaten-zur-kommunalwahl-2019/'\n",
"page_link_6 = 'https://die-linke-karlsruhe.de/unsere-kandidatinnen-fuer-die-kommunalwahl-in-karlsruhe/'\n",
"page_link_7 = 'https://fuerka.de/kommunalwahl-2019-karlsruhe-kandidaten-3520/'\n",
"page_link_8 = 'https://www.die-partei-karlsruhe.de/kommunalwahl-2019/'\n"
]
},
{
"cell_type": "code",
"execution_count": 355,
"metadata": {},
"outputs": [],
"source": [
"karlsruhe_spd_1 = get_page(page_link_1)\n",
"karlsruhe_spd_2 = extract_names(karlsruhe_spd_1)\n",
"karlsruhe_spd_3 = karlsruhe_spd_2[224:272].reset_index()\n",
"karlsruhe_spd_4 = karlsruhe_spd_3['Name_total'].str.split(' ', expand=True)\n",
"karlsruhe_spd_5 = karlsruhe_spd_4[3].str.split(r'([A-Z])', expand=True)\n",
"karlsruhe_spd_5['last name'] = karlsruhe_spd_5[1] + karlsruhe_spd_5[2]\n",
"karlsruhe_spd_5['job_1'] = karlsruhe_spd_5[3] + karlsruhe_spd_5[4]\n",
"karlsruhe_spd_5['job_2'] = karlsruhe_spd_5[5] + karlsruhe_spd_5[6]\n",
"karlsruhe_spd_6 = pd.concat([karlsruhe_spd_4, karlsruhe_spd_5], axis = 1)\n",
"karlsruhe_spd_7 = karlsruhe_spd_4[2].str.split(r'([A-Z])', expand=True)\n",
"karlsruhe_spd_7['place list'] = karlsruhe_spd_7[0]\n",
"karlsruhe_spd_7['first name'] = karlsruhe_spd_7[1] + karlsruhe_spd_7[2]\n",
"karlsruhe_spd_8 = pd.concat([karlsruhe_spd_6, karlsruhe_spd_7], axis = 1)\n",
"karlsruhe_spd_9 = karlsruhe_spd_4[4].str.split(r'([A-Z])', expand=True)\n",
"karlsruhe_spd_9['job_3'] = karlsruhe_spd_9[0]\n",
"karlsruhe_spd_9['job_4'] = karlsruhe_spd_9[1] + karlsruhe_spd_9[2]\n",
"karlsruhe_spd_9['job_5'] = karlsruhe_spd_9[3] + karlsruhe_spd_9[4]\n",
"karlsruhe_spd_9['job_6'] = karlsruhe_spd_9[5] + karlsruhe_spd_9[6]\n",
"karlsruhe_spd_10 = pd.concat([karlsruhe_spd_8, karlsruhe_spd_9], axis = 1)\n",
"karlsruhe_spd_11 = karlsruhe_spd_4[5].str.split(r'([A-Z])', expand=True)\n",
"karlsruhe_spd_11['job_7'] = karlsruhe_spd_11[1] + karlsruhe_spd_11[2]\n",
"karlsruhe_spd_11['job_8'] = karlsruhe_spd_11[3] + karlsruhe_spd_11[4]\n",
"karlsruhe_spd_12 = pd.concat([karlsruhe_spd_10, karlsruhe_spd_11], axis = 1)\n",
"karlsruhe_spd_12.to_excel(r'C:\\Users\\mariu\\Desktop\\Project\\Karlsruhe_SPD.xlsx')"
]
},
{
"cell_type": "code",
"execution_count": 416,
"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>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" <th>...</th>\n",
" <th>17</th>\n",
" <th>18</th>\n",
" <th>19</th>\n",
" <th>20</th>\n",
" <th>first name</th>\n",
" <th>last name</th>\n",
" <th>save</th>\n",
" <th>save_1</th>\n",
" <th>save_2</th>\n",
" <th>Age</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1 -</td>\n",
" <td>T</td>\n",
" <td>ilman</td>\n",
" <td>P</td>\n",
" <td>fannkuch</td>\n",
" <td>F</td>\n",
" <td>raktionsvorsitzender</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Tilman</td>\n",
" <td>Pfannkuch</td>\n",
" <td>Fraktionsvorsitzender</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td></td>\n",
" <td>R</td>\n",
" <td>echtsanwalt</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Rechtsanwalt</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>66</td>\n",
" <td>J</td>\n",
" <td>ahre</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Jahre</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>66 Jahre</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td></td>\n",
" <td>V</td>\n",
" <td>isitenkarte</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Visitenkarte</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td></td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td></td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2 -</td>\n",
" <td>T</td>\n",
" <td>horsten</td>\n",
" <td>E</td>\n",
" <td>hlgötz</td>\n",
" <td>S</td>\n",
" <td>tadtrat</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Thorsten</td>\n",
" <td>Ehlgötz</td>\n",
" <td>Stadtrat</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td></td>\n",
" <td>S</td>\n",
" <td>elbstständiger</td>\n",
" <td>M</td>\n",
" <td>aschinenbaumeister</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Selbstständiger</td>\n",
" <td>Maschinenbaumeister</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>51</td>\n",
" <td>J</td>\n",
" <td>ahre</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Jahre</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>51 Jahre</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td></td>\n",
" <td>V</td>\n",
" <td>isitenkarte</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Visitenkarte</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td></td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td></td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>3-</td>\n",
" <td>B</td>\n",
" <td>ettina</td>\n",
" <td>M</td>\n",
" <td>eier-</td>\n",
" <td>A</td>\n",
" <td>ugenstein</td>\n",
" <td>S</td>\n",
" <td>tellvertretende</td>\n",
" <td>K</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Bettina</td>\n",
" <td>Meier-</td>\n",
" <td>Augenstein</td>\n",
" <td>Stellvertretende</td>\n",
" <td>Kreisvorsitzende und</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td></td>\n",
" <td>B</td>\n",
" <td>ankfachwirtin (</td>\n",
" <td>I</td>\n",
" <td></td>\n",
" <td>H</td>\n",
" <td></td>\n",
" <td>K</td>\n",
" <td>),</td>\n",
" <td>L</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Bankfachwirtin (</td>\n",
" <td>I</td>\n",
" <td>H</td>\n",
" <td>K),</td>\n",
" <td>Leiterin</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>42</td>\n",
" <td>J</td>\n",
" <td>ahre</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Jahre</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>42 Jahre</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td></td>\n",
" <td>V</td>\n",
" <td>isitenkarte</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Visitenkarte</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td></td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td></td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>4 -</td>\n",
" <td>D</td>\n",
" <td>etlef</td>\n",
" <td>H</td>\n",
" <td>ofmann</td>\n",
" <td>S</td>\n",
" <td>tellvertretender</td>\n",
" <td>F</td>\n",
" <td>raktionsvorsitzender</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Detlef</td>\n",
" <td>Hofmann</td>\n",
" <td>Stellvertretender</td>\n",
" <td>Fraktionsvorsitzender</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td></td>\n",
" <td>B</td>\n",
" <td>undestrainer</td>\n",
" <td>K</td>\n",
" <td>anu,</td>\n",
" <td>D</td>\n",
" <td>iplomsportlehrer</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Bundestrainer</td>\n",
" <td>Kanu,</td>\n",
" <td>Diplomsportlehrer</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>55</td>\n",
" <td>J</td>\n",
" <td>ahre</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Jahre</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>55 Jahre</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td></td>\n",
" <td>V</td>\n",
" <td>isitenkarte</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Visitenkarte</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td></td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td></td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>5 -</td>\n",
" <td>S</td>\n",
" <td>ven</td>\n",
" <td>M</td>\n",
" <td>aier</td>\n",
" <td>S</td>\n",
" <td>tellvertretender</td>\n",
" <td>K</td>\n",
" <td>reisvorsitzender und</td>\n",
" <td>S</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Sven</td>\n",
" <td>Maier</td>\n",
" <td>Stellvertretender</td>\n",
" <td>Kreisvorsitzender und</td>\n",
" <td>Stadtrat</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td></td>\n",
" <td>P</td>\n",
" <td>arlamentarischer</td>\n",
" <td>R</td>\n",
" <td>eferent im</td>\n",
" <td>E</td>\n",
" <td></td>\n",
" <td>U</td>\n",
" <td>-</td>\n",
" <td>P</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Parlamentarischer</td>\n",
" <td>Referent im</td>\n",
" <td>E</td>\n",
" <td>U-</td>\n",
" <td>Parlament</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>45</td>\n",
" <td>J</td>\n",
" <td>ahre</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Jahre</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>45 Jahre</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td></td>\n",
" <td>V</td>\n",
" <td>isitenkarte</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>Visitenkarte</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td></td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>...</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",
" <td>None</td>\n",