Codecademy export

script.py

import codecademylib3_seaborn
from bs4 import BeautifulSoup
import requests
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

webpage = requests.get("https://s3.amazonaws.com/codecademy-content/courses/beautifulsoup/cacao/index.html")

soup = BeautifulSoup(webpage.content, "html.parser")

all_ratings_tags = soup.find_all(attrs={"class": "Rating"})
ratings=[]
for tag in all_ratings_tags[1:]:
  ratings.append(float(tag.get_text()))
  
plt.hist(ratings)

company_tags = soup.select(".Company")
companies = []

for company in company_tags[1:]:
  companies.append(company.get_text)

df_thingy = {"Company": companies, "Rating": ratings}
dataframe = pd.DataFrame.from_dict(df_thingy)

average_rating = dataframe.groupby("Company").Rating.mean()