Hi All--
My work involves reading large csv files with mixed data types (integer, float, string, time and date). I was able to accomplish the task using (1) genfromtxt or (2) looping through each line in the file and split, strip, and assign data type to each entry. I am wondering if there is a better and more efficient alternative, especially to method 2 without using numpy or pandas. Alan Gauld mentioned namedtuples for another question. I read a little about collections and in particular namedtuples but was not sure how to apply theme here, if they are applicable to begin with. Thanks in advance--EKE An example of a file: A B C D E 1 2.3 ‘aa’ 10/01/2016 12:30 4 25.6 ‘bb’ 02/02/2015 1:30 _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
