<jupyter_start><jupyter_text>Projekt Strompreise Epex<jupyter_code>import requests
from bs4 import BeautifulSoup
import pandas as pd
epex = requests.get('http://www.epexspot.com/en/market-data/dayaheadauction/auction-table/2018-10-02/CH')
soup = BeautifulSoup(r.text, 'html.parser')
soup = BeautifulSoup(r.text, 'html.parser')
BeautifulSoup(r.text, 'html.parser')
soup.find_all('td',)
soup.find_all('tbody')[3] #hier sind die Werte zur Schweiz
soup.find_all('tbody', {"td"}) #hier sind die Werte zur Schweiz
print(soup.find_all('tbody', {"td"}))<jupyter_output>[]
{'fraction_non_alphanumeric': 0.16163410301953818, 'fraction_numerical': 0.017761989342806393, 'mean_word_length': 7.294117647058823, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '122956', 'license': 'MIT', 'n_tokens_mistral': 233, 'n_tokens_neox': 220, 'n_words': 40, 'path': '06 Scraping API/Projekt Strompreise Apex.ipynb', 'repo_name': 'edzardschade/Edzard_CAS', 'size': '563'}