"Dana" <[email protected]> wrote
I'm using Python to extract words from plain text files. I have a list of words. Now I would like to convert that list to a dictionary of features where the key is the word and the value the number of occurrences in a group of files based on the filename
I think I know what you mean but an illustration of the desired output would be useful. Just to be sure.
correspond to different categories). What is the best way to represent this data? When I finish I expect to have about 70 unique dictionaries with values I plan to use in frequency distributions, etc. Should I use globally defined dictionaries?
You will either need a class/object to store the data or a set of global dictionaries (or a database/file I suppose but that only makes sense if you have a lot of data or need persistence). You should consider keeping the individual dictionaries in another dictionary so you only have a single global level variable. HTH, -- Alan Gauld Author of the Learn to Program web site http://www.alan-g.me.uk/ _______________________________________________ Tutor maillist - [email protected] To unsubscribe or change subscription options: http://mail.python.org/mailman/listinfo/tutor
