So I wanted to try out a Machine Learning project to learn more about it, and decided to build a model that predicts bitcoin prices. When I try to retrieve the comment from each wiki revision, I get a key error saying 'comment' key doesn't exist.
edits = {}for rev in revs: date = time.strftine("%Y-%m-%d", rev["timestamp"]) if date not in edits: edits[date]=dict(sentiments=list(), edit_count=0) edits[date]["edit_count"] += 1 comment = rev["comment"] edits[date]["sentiments"].append(find_sentiment(comment))Output
------------------------------------------------------------------- KeyError Traceback (most recent call last) Cell In[10], line 10 8 edits[date]=dict(sentiments=list(), edit_count=0) 9 edits[date]["edit_count"] += 1 --->10 comment = rev['comment'] 11 edits[date]["sentiments"].append(find_sentiment(comment)) KeyError: 'comment'When I looked at the dictionary, it had the comment key. I tried looking up the problem but everybody just says to handle the exception by printing an error message, and I need the data. Any help would be greatly appreciated, I've had so many problems on this already and this seems like a dead end.
revs = sorted(revs, key=lambda rev: rev["timestamp"])revs[0]Output
OrderedDict([('revid', 275832581), ('parentid', 0), ('user', 'Pratyeka'), ('timestamp', time.struct_time(tm_year=2009, tm_mon=3, tm_mday=8, tm_hour=16, tm_min=41, tm_sec=7, tm_wday=6, tm_yday=67, tm_isdst=-1)), ('comment', 'creation (stub)')])Also here is the project I was trying to follow if this would help:Video