Sep-25-2021, 12:44 PM
The problem seems to be with pandas interpreting the page. I tested the URL and got a nicely formatted table on a page. The table is quite long, takes several loads, so thought might be related to that. Tried shortening the interval by changing the start year to 2021. Still error. Changed to using pd.read_html() instead of the data reader. Pandas came back with an error 404. Weird, so read the docs (often a good idea). read_html does not work with https apparently.
In any case, tried a request using your code from Naver. That worked (failed later as different format data from what you expect). So it is explicitly yahoo finance and the connection there that is the problem.
Not an answer for you, but might give some ideas.
In any case, tried a request using your code from Naver. That worked (failed later as different format data from what you expect). So it is explicitly yahoo finance and the connection there that is the problem.
Not an answer for you, but might give some ideas.