Converting HTML table to CSV file using python

Question

I am very new to pandas, so I wanted to convert this HTML table to CSV file with the pandas however my CSV file is giving me a weird sign and it didn't manage to covert all the table over to the CSV.
Here's my code. I read about using beautifulsoup but I'm not too sure how to use the function.

import as pandas
df = pd.read_html('https://aim-sg.caas.gov.sg/aip/2020-10-13/final/2020-09-10-Non-AIR'
              'AC/html/eAIP/ENR-3.1-en-GB.html?s=B2EE1C5E1D2A684224A194E69D18338A560504FC#ENR-3.1')
df[0].to_csv('ENR3.0.csv')

Thank you!

Edited: I have changed my import to import pandas as dp but i still did not manage to convert all the HTML table to CSV file.

Greatly appreciate all your help!

Answer 1

You can use pandas itself to do this. You have messed up with the import statement. Here is how you do it correctly:

import pandas as pd
df = pd.read_html('https://aim-sg.caas.gov.sg/aip/2020-10-13/final/2020-09-10-Non-AIR'
              'AC/html/eAIP/ENR-3.1-en-GB.html?s=B2EE1C5E1D2A684224A194E69D18338A560504FC#ENR-3.1')

df[0].to_csv('ENR3.0.csv', index = False)

If you want to get all the dataframes present within the variable df , then replace the last line with this:

for x in range(len(df)):
    df[x].to_csv(f"CSV_File_{x+1}", index = False)

Answer 2

There is issue in import statement
It should be import pandas as pd and not import as pandas , as your are using alias pd in the code below.

Study about beautiful soup and use lxml parser to parse required data ( it is very fast ).
This link might help you out:
BeautifulSoup different parsers

If any other help is required, then do leave a comment on this post and will try to sort our your issue :)

Made correction in your code:

 import pandas as pd df = pd.read_html('https://aim-sg.caas.gov.sg/aip/2020-10-13/final/2020-09-10-Non-AIR' 'AC/html/eAIP/ENR-3.1-en-GB.html?s=B2EE1C5E1D2A684224A194E69D18338A560504FC#ENR-3.1') df[0].to_csv('ENR3.0.csv')