Answer by alecxe for Parsing HTML table into Pandas DataFrame
zip() with a list comprehension to the rescue:rows_dates = soup.find_all(attrs={'data-bind': 'momentDateText: date'})rows_category = soup.find_all(attrs={'data-bind': 'text: categoryName'})rows_comment...
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There is a text (link clickable) file with HTML table. The table is a bank statement. I'd like to parse it into pandas DataFrame. Is there a way to do it more gracefully? I've started to learn Python...
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