> ideally what i would like is to be able to traverse each line of the
> parsed file, and then refer to each of its fields by header name, so
> that if the column order in the file changes my program will be
> unaffected:
What you want is a DictReader.
For a quick example of me using that,
----------
aReader = csv.DictReader(open(inputFilename, 'r'), delimiter='\t')
yValues = {} # Will be a dictionary of lists (these are lists of y-
values)
xValues = [] # List of x values (timestamps)
for row in aReader:
xValues.append(datetime.datetime(*(time.strptime(row
['TimeStamp'],timeStampFormat)[0:6])))
for field in sorted(row,reverse=True): # Read from last
to first in field list
if field=='TimeStamp': continue # Column of x-data
if not field in yValues.keys():
yValues[field] = [nt(row[field])] # Start list of
the values
in this column
else:
yValues[field].append(int(row[field])) # Add to list of
values in
this column
----------
Mike
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