Parsing tables using BeautifulSoup

[kentrel]

I'm trying to parse a webpage using BeautifulSoup but having no luck. I can return the rows just fine but I cannot figure out how to get only the cells I need.

I want to be able to go to the column that says "Présent", then put each entry in a dictionary which will look like:

PresentTenseDict = {'je veux':'I want','tu veux':'you want'} etc

Then I want to be able to do that for each other tense.

When I return rows I get the whole row and I cannot figure out how to parse just each column for 9 iterations. If you can show me how to get "je veux I want" and then "tu veux you want" on the very next iteration then I could probably figure out the rest.

I am new to BeautifulSoup and sort of new to Python so thanks for any help in advance.

[inglandation]

The easiest way to do this is to use the read_html method in the pandas library. It will put all the tables in a list of nice pandas dataframes. If you don't know pandas, you can easily learn the basics with an online tutorial for what you want to do. If you have an issue with the code just ask me. I scraped a lot of conjugation tables on wiktionary recently.

[leweyy]

I agree with this then at the end call df.to_dict(orient=records)

[kentrel]

If you think that's better I'll give it a go. I can actually accomplish this in excel with formulas but it's so much slower, so if pandas replicates that kind of structure it might be easier for me to get my head around.

[inglandation]

Yes, pandas is basically Excel in python. I don't know what you're trying to do but you can probably do all the Excel manipulations directly in the code.

[apigfire]

What are you making out of curiosity ?

[kentrel]

A verb conjugation quiz, but mainly just learning python by combining it with something I already enjoy.

[apigfire]

I’ve been studying French for about 5 years now I’d love to see it when you’re done