mori no asagao
for mori no asagao , the 2nd highest ratings were for episode four .
{'row_1': '3', 'row_2': '2', 'col': '6', 'col_other': '1', 'relation': 'less', 'record_mentioned': 'yes', 'diff_result': None}
{'func': 'and', 'args': [{'func': 'less', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'episode', '4'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose episode record fuzzily matches to 4 .', 'tostr': 'filter_eq { all_rows ; episode ; 4 }'}, 'ratings ( kanto )'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; episode ; 4 } ; ratings ( kanto ) }', 'tointer': 'select the rows whose episode record fuzzily matches to 4 . take the ratings ( kanto ) record of this row .'}, {'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'episode', '3'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose episode record fuzzily matches to 3 .', 'tostr': 'filter_eq { all_rows ; episode ; 3 }'}, 'ratings ( kanto )'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; episode ; 3 } ; ratings ( kanto ) }', 'tointer': 'select the rows whose episode record fuzzily matches to 3 . take the ratings ( kanto ) record of this row .'}], 'result': True, 'ind': 4, 'tostr': 'less { hop { filter_eq { all_rows ; episode ; 4 } ; ratings ( kanto ) } ; hop { filter_eq { all_rows ; episode ; 3 } ; ratings ( kanto ) } }', 'tointer': 'select the rows whose episode record fuzzily matches to 4 . take the ratings ( kanto ) record of this row . select the rows whose episode record fuzzily matches to 3 . take the ratings ( kanto ) record of this row . the first record is less than the second record .'}, {'func': 'and', 'args': [{'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'episode', '4'], 'result': None, 'ind': 0, 'tointer': 'select the rows whose episode record fuzzily matches to 4 .', 'tostr': 'filter_eq { all_rows ; episode ; 4 }'}, 'ratings ( kanto )'], 'result': None, 'ind': 2, 'tostr': 'hop { filter_eq { all_rows ; episode ; 4 } ; ratings ( kanto ) }', 'tointer': 'select the rows whose episode record fuzzily matches to 4 . take the ratings ( kanto ) record of this row .'}, '4.3'], 'result': True, 'ind': 5, 'tostr': 'eq { hop { filter_eq { all_rows ; episode ; 4 } ; ratings ( kanto ) } ; 4.3 }', 'tointer': 'the ratings ( kanto ) record of the first row is 4.3 .'}, {'func': 'eq', 'args': [{'func': 'num_hop', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'episode', '3'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose episode record fuzzily matches to 3 .', 'tostr': 'filter_eq { all_rows ; episode ; 3 }'}, 'ratings ( kanto )'], 'result': None, 'ind': 3, 'tostr': 'hop { filter_eq { all_rows ; episode ; 3 } ; ratings ( kanto ) }', 'tointer': 'select the rows whose episode record fuzzily matches to 3 . take the ratings ( kanto ) record of this row .'}, '4.6'], 'result': True, 'ind': 6, 'tostr': 'eq { hop { filter_eq { all_rows ; episode ; 3 } ; ratings ( kanto ) } ; 4.6 }', 'tointer': 'the ratings ( kanto ) record of the second row is 4.6 .'}], 'result': True, 'ind': 7, 'tostr': 'and { eq { hop { filter_eq { all_rows ; episode ; 4 } ; ratings ( kanto ) } ; 4.3 } ; eq { hop { filter_eq { all_rows ; episode ; 3 } ; ratings ( kanto ) } ; 4.6 } }', 'tointer': 'the ratings ( kanto ) record of the first row is 4.3 . the ratings ( kanto ) record of the second row is 4.6 .'}], 'result': True, 'ind': 8, 'tostr': 'and { less { hop { filter_eq { all_rows ; episode ; 4 } ; ratings ( kanto ) } ; hop { filter_eq { all_rows ; episode ; 3 } ; ratings ( kanto ) } } ; and { eq { hop { filter_eq { all_rows ; episode ; 4 } ; ratings ( kanto ) } ; 4.3 } ; eq { hop { filter_eq { all_rows ; episode ; 3 } ; ratings ( kanto ) } ; 4.6 } } } = true', 'tointer': 'select the rows whose episode record fuzzily matches to 4 . take the ratings ( kanto ) record of this row . select the rows whose episode record fuzzily matches to 3 . take the ratings ( kanto ) record of this row . the first record is less than the second record . the ratings ( kanto ) record of the first row is 4.3 . the ratings ( kanto ) record of the second row is 4.6 .'}
and { less { hop { filter_eq { all_rows ; episode ; 4 } ; ratings ( kanto ) } ; hop { filter_eq { all_rows ; episode ; 3 } ; ratings ( kanto ) } } ; and { eq { hop { filter_eq { all_rows ; episode ; 4 } ; ratings ( kanto ) } ; 4.3 } ; eq { hop { filter_eq { all_rows ; episode ; 3 } ; ratings ( kanto ) } ; 4.6 } } } = true
select the rows whose episode record fuzzily matches to 4 . take the ratings ( kanto ) record of this row . select the rows whose episode record fuzzily matches to 3 . take the ratings ( kanto ) record of this row . the first record is less than the second record . the ratings ( kanto ) record of the first row is 4.3 . the ratings ( kanto ) record of the second row is 4.6 .
{'and_8': 'and', 'result_9': 'true', 'less_4': 'less', 'num_hop_2': 'num_hop', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_10': 'all_rows', 'episode_11': 'episode', '4_12': '4', 'ratings (kanto)_13': 'ratings ( kanto )', 'num_hop_3': 'num_hop', 'filter_str_eq_1': 'filter_str_eq', 'all_rows_14': 'all_rows', 'episode_15': 'episode', '3_16': '3', 'ratings (kanto)_17': 'ratings ( kanto )', 'and_7': 'and', 'eq_5': 'eq', '4.3_18': '4.3', 'eq_6': 'eq', '4.6_19': '4.6'}
['episode', 'title', 'writer', 'director', 'original airdate', 'ratings ( kanto )']
[['2', 'instruction execution ( 死刑執行命令 )', 'daisuke habara', 'akimitsu sasaki', 'oct 25 , 2010 22.00 - 22.54', '3.8'], ['3', 'give flowers to the condemned ( 死刑囚へ贈る花 )', 'shizuka oki', 'makito murakami', 'nov 1 , 2010 22.00 - 22.54', '4.6'], ['4', 'wedding bride prison ( 獄中結婚の花嫁 )', 'daisuke habara', 'makito murakami', 'nov 8 , 2010 22.00 - 22.54', '4.3'], ['6', 'gray man 33 years of false accusation ( 冤罪33年の白髪男 )', 'daisuke habara', 'munenobu yamauchi', 'nov 22 , 2010 22.00 - 22.54', '3.2'], ['8', 'visits last miracle ( 最期の面会の奇跡 )', 'shizuka oki', 'tomoyuki furumaya', 'dec 6 , 2010 22.00 - 22.54', '3.0']]