a = (('foo', 'bar', 'baz'),
('A', 1, True),
('C', 7, False),
('B', 2, False),
('C', 9, True))
b = (('bar', 'foo', 'baz'),
(2, 'B', False),
(9, 'A', False),
(3, 'B', True),
(9, 'C', True))
from petl import recorddiff, look
look(a)
look(b)
added, subtracted = recorddiff(a, b)
look(added)
look(subtracted)
# capture
table1 = [['id', 'variable', 'value'],
['1', 'A1', '12'],
['2', 'A2', '15'],
['3', 'B1', '18'],
['4', 'C12', '19']]
from petl import capture, look
look(table1)
table2 = capture(table1, 'variable', '(\\w)(\\d+)', ['treat', 'time'])
# recorddiff()
##############
import petl as etl
a = [['foo', 'bar', 'baz'],
['A', 1, True],
['C', 7, False],
['B', 2, False],
['C', 9, True]]
b = [['bar', 'foo', 'baz'],
[2, 'B', False],
[9, 'A', False],
[3, 'B', True],
[9, 'C', True]]
added, subtracted = etl.recorddiff(a, b)
added
subtracted
# intersection()
################
import petl as etl
table1 = [['foo', 'bar', 'baz'],
['A', 1, True],
['C', 7, False],
['B', 2, False],
['C', 9, True]]
table2 = [['x', 'y', 'z'],
['B', 2, False],
a = (('foo', 'bar', 'baz'),
('A', 1, True),
('C', 7, False),
('B', 2, False),
('C', 9, True))
b = (('bar', 'foo', 'baz'),
(2, 'B', False),
(9, 'A', False),
(3, 'B', True),
(9, 'C', True))
from petl import recorddiff, look
look(a)
look(b)
added, subtracted = recorddiff(a, b)
look(added)
look(subtracted)
# capture
table1 = [['id', 'variable', 'value'],
['1', 'A1', '12'],
['2', 'A2', '15'],
['3', 'B1', '18'],
['4', 'C12', '19']]
from petl import capture, look
look(table1)
table2 = capture(table1, 'variable', '(\\w)(\\d+)', ['treat', 'time'])
added, subtracted = etl.diff(a, b)
# rows in b not in a
added
# rows in a not in b
subtracted
# recorddiff()
##############
import petl as etl
a = [['foo', 'bar', 'baz'], ['A', 1, True], ['C', 7, False], ['B', 2, False],
['C', 9, True]]
b = [['bar', 'foo', 'baz'], [2, 'B', False], [9, 'A', False], [3, 'B', True],
[9, 'C', True]]
added, subtracted = etl.recorddiff(a, b)
added
subtracted
# intersection()
################
import petl as etl
table1 = [['foo', 'bar', 'baz'], ['A', 1, True], ['C', 7, False],
['B', 2, False], ['C', 9, True]]
table2 = [['x', 'y', 'z'], ['B', 2, False], ['A', 9, False], ['B', 3, True],
['C', 9, True]]
table3 = etl.intersection(table1, table2)
table3
