2007 - 08 los angeles kings season
in the 2007 - 08 los angeles kings season , when the decision was labarbera , the only time attendance was over 18000 was on november 3 .
{'scope': 'subset', 'row': '2', 'col': '6', 'col_other': '1,5', 'criterion': 'greater_than', 'value': '18000', 'subset': {'col': '5', 'criterion': 'equal', 'value': 'labarbera'}}
{'func': 'and', 'args': [{'func': 'only', 'args': [{'func': 'filter_greater', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'decision', 'labarbera'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; decision ; labarbera }', 'tointer': 'select the rows whose decision record fuzzily matches to labarbera .'}, 'attendance', '18000'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose decision record fuzzily matches to labarbera . among these rows , select the rows whose attendance record is greater than 18000 .', 'tostr': 'filter_greater { filter_eq { all_rows ; decision ; labarbera } ; attendance ; 18000 }'}], 'result': True, 'ind': 2, 'tostr': 'only { filter_greater { filter_eq { all_rows ; decision ; labarbera } ; attendance ; 18000 } }', 'tointer': 'select the rows whose decision record fuzzily matches to labarbera . among these rows , select the rows whose attendance record is greater than 18000 . there is only one such row in the table .'}, {'func': 'str_eq', 'args': [{'func': 'str_hop', 'args': [{'func': 'filter_greater', 'args': [{'func': 'filter_str_eq', 'args': ['all_rows', 'decision', 'labarbera'], 'result': None, 'ind': 0, 'tostr': 'filter_eq { all_rows ; decision ; labarbera }', 'tointer': 'select the rows whose decision record fuzzily matches to labarbera .'}, 'attendance', '18000'], 'result': None, 'ind': 1, 'tointer': 'select the rows whose decision record fuzzily matches to labarbera . among these rows , select the rows whose attendance record is greater than 18000 .', 'tostr': 'filter_greater { filter_eq { all_rows ; decision ; labarbera } ; attendance ; 18000 }'}, 'date'], 'result': 'november 3', 'ind': 3, 'tostr': 'hop { filter_greater { filter_eq { all_rows ; decision ; labarbera } ; attendance ; 18000 } ; date }'}, 'november 3'], 'result': True, 'ind': 4, 'tostr': 'eq { hop { filter_greater { filter_eq { all_rows ; decision ; labarbera } ; attendance ; 18000 } ; date } ; november 3 }', 'tointer': 'the date record of this unqiue row is november 3 .'}], 'result': True, 'ind': 5, 'tostr': 'and { only { filter_greater { filter_eq { all_rows ; decision ; labarbera } ; attendance ; 18000 } } ; eq { hop { filter_greater { filter_eq { all_rows ; decision ; labarbera } ; attendance ; 18000 } ; date } ; november 3 } } = true', 'tointer': 'select the rows whose decision record fuzzily matches to labarbera . among these rows , select the rows whose attendance record is greater than 18000 . there is only one such row in the table . the date record of this unqiue row is november 3 .'}
and { only { filter_greater { filter_eq { all_rows ; decision ; labarbera } ; attendance ; 18000 } } ; eq { hop { filter_greater { filter_eq { all_rows ; decision ; labarbera } ; attendance ; 18000 } ; date } ; november 3 } } = true
select the rows whose decision record fuzzily matches to labarbera . among these rows , select the rows whose attendance record is greater than 18000 . there is only one such row in the table . the date record of this unqiue row is november 3 .
{'and_5': 'and', 'result_6': 'true', 'only_2': 'only', 'filter_greater_1': 'filter_greater', 'filter_str_eq_0': 'filter_str_eq', 'all_rows_7': 'all_rows', 'decision_8': 'decision', 'labarbera_9': 'labarbera', 'attendance_10': 'attendance', '18000_11': '18000', 'str_eq_4': 'str_eq', 'str_hop_3': 'str_hop', 'date_12': 'date', 'november 3_13': 'november 3'}
['date', 'visitor', 'score', 'home', 'decision', 'attendance', 'record']
[['november 2', 'los angeles', '5 - 2', 'san jose', 'aubin', '17496', '7 - 7 - 0'], ['november 3', 'san jose', '3 - 1', 'los angeles', 'labarbera', '18118', '7 - 8 - 0'], ['november 10', 'dallas', '5 - 6', 'los angeles', 'aubin', '18118', '8 - 8 - 0'], ['november 13', 'los angeles', '3 - 4', 'anaheim', 'labarbera', '17174', '8 - 8 - 1'], ['november 15', 'anaheim', '6 - 3', 'los angeles', 'aubin', '18118', '8 - 9 - 1'], ['november 17', 'phoenix', '1 - 0', 'los angeles', 'labarbera', '15659', '8 - 10 - 1'], ['november 19', 'los angeles', '0 - 3', 'dallas', 'labarbera', '17208', '8 - 11 - 1'], ['november 21', 'los angeles', '1 - 4', 'phoenix', 'labarbera', '12161', '8 - 12 - 1'], ['november 24', 'los angeles', '2 - 1', 'san jose', 'labarbera', '17496', '9 - 12 - 1'], ['november 25', 'los angeles', '2 - 3', 'anaheim', 'labarbera', '17174', '9 - 13 - 1'], ['november 28', 'los angeles', '3 - 2', 'san jose', 'labarbera', '17071', '10 - 13 - 1']]