akdt max temperaturef mean temperaturef min temperaturef --snip- cloudcover events winddirdegrees here we see that the dates and their high temperatures are stored in columns and to explore this datawe'll process each row of data in sitka_weather_ - csv and extract the values with the indices and extracting and reading data now that we know which columns of data we needlet' read in some of that data firstwe'll read in the high temperature for each dayhighs_lows py import csv get high temperatures from file filename 'sitka_weather_ - csvwith open(filenameas freader csv reader(fheader_row next(readeru highs [for row in readerhighs append(row[ ]print(highswe make an empty list called highs and then loop through the remaining rows in the file the reader object continues from where it left off in the csv file and automatically returns each line following its current position because we've already read the header rowthe loop will begin at the second line where the actual data begins on each pass through the loopwe append the data from index the second columnto highs the following listing shows the data now stored in highs[' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' '' 'we've extracted the high temperature for each date and stored them neatly in list as strings