Python all() function
Much of my coding efforts are directed towards analyzing financial data specifically targeting potential cash secured puts or covered calls. Recently, I had to refine some market overview displays. I needed a listing of the current market “gainers” and market “losers”. There is one site which I scrape using panda read_html function to grab a hadful of tables. My problem arises from two factors. One is there are no labels or titles to the tables and they can vary. The a table can arise from special (temporart) events and the weekends or holidays might call for the tables to re-arrange their order. This requires that I look directly at the panda table and derive which table I might be examining. One table I look for lists all the “gainers” currenly in the market. What I do know is that the third column of that table will always contain a plus sign (the % change of all the gainers). I had nested loops initially to do this but I refactored the code to use the “all()” function to discover which table has all “+” signs in the column 3. My standard caveat applies here - there is likely a better way to do this - so let me know.