list of tvb dramas in 2011
lives of omission had a higher peak than the rippling blossom .
{'row_1': '2', 'row_2': '3', 'col': '5', 'col_other': '2', 'relation': 'greater', 'record_mentioned': 'no', 'diff_result': None}
{'func': 'greater', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'english title', 'lives of omission'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose english title record fuzzily matches to lives of omission .', 'tostr': 'filter_eq { all_rows ; english title ; lives of omission }'}, 'peak'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; english title ; lives of omission } ; peak }', 'tointer': 'select the rows whose english title record fuzzily matches to lives of omission . take the peak record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'english title', 'the rippling blossom'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose english title record fuzzily matches to the rippling blossom .', 'tostr': 'filter_eq { all_rows ; english title ; the rippling blossom }'}, 'peak'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; english title ; the rippling blossom } ; peak }', 'tointer': 'select the rows whose english title record fuzzily matches to the rippling blossom . take the peak record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'greater { hop { filter_eq { all_rows ; english title ; lives of omission } ; peak } ; hop { filter_eq { all_rows ; english title ; the rippling blossom } ; peak } } = true', 'tointer': 'select the rows whose english title record fuzzily matches to lives of omission . take the peak record of this row . select the rows whose english title record fuzzily matches to the rippling blossom . take the peak record of this row . the first record is greater than the second record .'}
greater { hop { filter_eq { all_rows ; english title ; lives of omission } ; peak } ; hop { filter_eq { all_rows ; english title ; the rippling blossom } ; peak } } = true
select the rows whose english title record fuzzily matches to lives of omission . take the peak record of this row . select the rows whose english title record fuzzily matches to the rippling blossom . take the peak record of this row . the first record is greater than the second record .
{'greater_4': 'greater', 'result_5': 'true', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_6': 'all_rows', 'english title_7': 'english title', 'lives of omission_8': 'lives of omission', 'peak_9': 'peak', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_10': 'all_rows', 'english title_11': 'english title', 'the rippling blossom_12': 'the rippling blossom', 'peak_13': 'peak'}
['rank', 'english title', 'chinese title', 'average', 'peak', 'premiere', 'finale', 'hk viewers']
[['1', 'forensic heroes iii', '法證先鋒iii', '33', '43', '31', '33', '2.11 million'], ['2', 'lives of omission', '潛行狙擊', '31', '40', '29', '33', '1.97 million'], ['3', 'the rippling blossom', '魚躍在花見', '31', '38', '29', '32', '1.95 million'], ['4', 'curse of the royal harem', '萬凰之王', '30', '43', '29', '31', '1.92 million'], ['5', 'ghetto justice', '怒火街頭', '30', '35', '28', '31', '1.89 million'], ['6', 'the other truth', '真相', '29', '35', '28', '30', '1.86 million'], ['7', 'yes , sir sorry , sir !', '點解阿sir係阿sir', '29', '38', '27', '31', '1.85 million'], ['8', 'a great way to care', '仁心解碼', '29', '35', '29', '27', '1.84 million'], ['9', 'grace under fire', '女拳', '29', '34', '26', '31', '1.83 million']]