>But I still don't know how to get the >statistic result of each column,
try: cols = len( text[0] ) # Find out how many columns there are (assuming each row has the same number of columns) except IndexError: raise # This will make sure you can see the error while developing; # replace with whatever is appropriate for your application results = [] for idx in xrange( cols ): results.append( 0 ) # Initialize an array to zero value with the correct number of columns # results = [ 0, 0, 0 ] for 3 columns for line in text: # Check each row for col_idx, field in enumerate( line ): # check each column if token in field: # Or possibly if token==field, not sure exactly what kind of comparison you need. results[col_idx] += 1 # token found so increment count for that column This is a simple to understand, brute-force solution. It is not very efficient and might be slow for large amounts of data. Ramit Ramit Prasad | JPMorgan Chase Investment Bank | Currencies Technology 712 Main Street | Houston, TX 77002 work phone: 713 - 216 - 5423 This email is confidential and subject to important disclaimers and conditions including on offers for the purchase or sale of securities, accuracy and completeness of information, viruses, confidentiality, legal privilege, and legal entity disclaimers, available at http://www.jpmorgan.com/pages/disclosures/email. _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: http://mail.python.org/mailman/listinfo/tutor