def test_typeset():
table = (('foo', 'bar', 'baz'), ('A', 1, '2'), ('B', u'2', '3.4'),
(u'B', u'3', '7.8', True), ('D', u'xyz', 9.0), ('E', 42))
actual = typeset(table, 'foo')
expect = set([str, unicode])
eq_(expect, actual)
def test_typeset():
table = (('foo', 'bar', 'baz'),
('A', 1, '2'),
('B', '2', '3.4'),
('B', '3', '7.8', True),
('D', 'xyz', 9.0),
('E', 42))
actual = typeset(table, 'foo')
expect = set([str, str])
eq_(expect, actual)
def test_typeset():
table = (('foo', 'bar', 'baz'),
('A', 1, '2'),
('B', u'2', '3.4'),
(u'B', u'3', '7.8', True),
('D', u'xyz', 9.0),
('E', 42))
actual = typeset(table, 'foo')
expect = {str, unicode}
assertequal(expect, actual)
def get_column_types(self, column):
"""
Return all of the Python types for values in a given column
`Args:`
column: str
Name of the column to analyze
`Returns:`
list
A list of Python types
"""
return list(petl.typeset(self.table, column))
def test_typeset():
table = (
("foo", "bar", "baz"),
("A", 1, "2"),
("B", u"2", "3.4"),
(u"B", u"3", "7.8", True),
("D", u"xyz", 9.0),
("E", 42),
)
actual = typeset(table, "foo")
expect = set([str, unicode])
eq_(expect, actual)
from __future__ import division, print_function, absolute_import
# typeset()
###########
import petl as etl
table = [['foo', 'bar', 'baz'],
['A', 1, '2'],
['B', u'2', '3.4'],
[u'B', u'3', '7.8', True],
['D', u'xyz', 9.0],
['E', 42]]
sorted(etl.typeset(table, 'foo'))
sorted(etl.typeset(table, 'bar'))
sorted(etl.typeset(table, 'baz'))
# diffheaders()
###############
import petl as etl
table1 = [['foo', 'bar', 'baz'],
['a', 1, .3]]
table2 = [['baz', 'bar', 'quux'],
['a', 1, .3]]
add, sub = etl.diffheaders(table1, table2)
add
sub
from __future__ import division, print_function, absolute_import
# typeset()
###########
import petl as etl
table = [['foo', 'bar', 'baz'], ['A', 1, '2'], ['B', u'2', '3.4'],
[u'B', u'3', '7.8', True], ['D', u'xyz', 9.0], ['E', 42]]
sorted(etl.typeset(table, 'foo'))
sorted(etl.typeset(table, 'bar'))
sorted(etl.typeset(table, 'baz'))
# diffheaders()
###############
import petl as etl
table1 = [['foo', 'bar', 'baz'], ['a', 1, .3]]
table2 = [['baz', 'bar', 'quux'], ['a', 1, .3]]
add, sub = etl.diffheaders(table1, table2)
add
sub
# diffvalues()
##############
import petl as etl
table1 = [['foo', 'bar'], ['a', 1], ['b', 3]]
table2 = [['bar', 'foo'], [1, 'a'], [3, 'c']]
add, sub = etl.diffvalues(table1, table2, 'foo')
add
sub