Create single header dictionary/list for raw data file

#!/usr/bin/python
 
import csv
 
fin = open('rawData.csv', 'rb')
source = csv.reader(fin, quoting=csv.QUOTE_NONNUMERIC)
 
fout_hr = open('hr_sorted.csv', 'wb')
hr_writer = csv.writer(fout_hr, quoting=csv.QUOTE_NONNUMERIC)
 
fout_min = open('min_sorted.csv', 'wb')
min_writer = csv.writer(fout_min, quoting=csv.QUOTE_NONNUMERIC)
 
status = 0     # wait for the header
header = None  # collecting header lines of the section
writer = None  # reference to the wanted output writer
 
for row in source:
    if status == 0:   # wait a section header rows
        if row[0] == 'Point Name:':
            header = [ row[1:] ]    # the list with the info from the first header row
            status = 1
        else:
            continue
 
    elif status == 1:  # collecting some header rows
        if row[1] == '1 Minutes':
            header.append(row)
            writer = min_writer
        elif row[1] == '60 Minutes':
            header.append(row)
            writer = hr_writer
        elif row[1] == 'Date Range':
            pass                       # Ignore this header row.
        elif row[0] == 'Report Timings:':
            # Ignore this header row. Do output the collected header.
            for r in header:
                writer.writerow(r)
            status = 2                 # Get ready for for the value rows.
 
    elif status == 2:  # collecting the values
        if len(row) == 4:              # detect the row with values
            writer.writerow(row[0:3])  # output the first three columns only
        else:
            writer.writerow([''])      # separator
            status = 0                 # wait for another section
    
    else:
        print 'Unexpected status', status    
        
fout_hr.close()
fout_min.close()