python脚本
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import requests
from bs4 import BeautifulSoup
import pandas as pd
import matplotlib.pyplot as plt
Step 1: Scrape data from a website
url = 'https://example.com/data'
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
TODO: Parse the HTML and extract the data you want to scrape
data = []
...
Step 2: Clean and preprocess the data
TODO: Remove any unnecessary characters, spaces, or duplicates
cleaned_data = []
...
Step 3: Save the data to a CSV file
df = pd.DataFrame(cleaned_data)
df.to_csv('data.csv', index=False)
Step 4: Load the data into a pandas DataFrame and perform some analysis
df = pd.read_csv('data.csv')
TODO: Compute some statistics or generate some visualizations
...
Step 5: Visualize the data using matplotlib
TODO: Create some plots to visualize the data
plt.plot(df['column_name'])
plt.xlabel('X Axis Label')
plt.ylabel('Y Axis Label')
plt.title('Plot Title')
plt.show()