def test_is_null(self):
nt.assert_false(ft.is_null(''))
nt.assert_false(ft.is_null(' '))
nt.assert_false(ft.is_null(False))
nt.assert_false(ft.is_null('0'))
nt.assert_false(ft.is_null(0))
nt.assert_true(ft.is_null('', blanks_as_nulls=True))
nt.assert_true(ft.is_null(' ', blanks_as_nulls=True))
def normalize(records, **kwargs):
first = records.next()
reconstituted = it.chain([first], records)
filterfunc = lambda x: x[0].startswith('y')
base = dict(it.ifilterfalse(filterfunc, first.items()))
for record in reconstituted:
values = it.ifilter(filterfunc, record.items())
for addon in ({'year': v[0][1:], 'value': v[1]} for v in values):
if not ft.is_null(addon['value'], blanks_as_nulls=True):
yield pr.merge([base, addon])
