Show parse_file.py syntax highlighted
# read in the cvs file family.dat
# open the file for reading
fh = file('../data/family.csv', 'r')
# slurp the header, splitting on the comma
headers = fh.readline().split(',')
# now loop over the remaining lines in the file and parse them
for line in fh:
# remove any leading or trailing white space
line = line.strip()
# split the line on the comma into separate variables
first, last, age, weight, height, dob = line.split(',')
# convert some of these strings to floats
age, weight, height = [float(val) for val in (age, weight, height)]
print first, last, age, weight, height, dob
results = []
for line in fh:
# process the line as above to get the variables
results.append( (first, last, age, weight, height, dob) )
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