a
# the dtype can also be partially specified
a = etl.toarray(table, dtype={'foo': 'a4'})
a
# fromarray()
#############
import petl as etl
import numpy as np
a = np.array([('apples', 1, 2.5),
('oranges', 3, 4.4),
('pears', 7, 0.1)],
dtype='U8, i4,f4')
table = etl.fromarray(a)
table
# valuestoarray()
#################
import petl as etl
table = [('foo', 'bar', 'baz'),
('apples', 1, 2.5),
('oranges', 3, 4.4),
('pears', 7, .1)]
table = etl.wrap(table)
table.values('bar').array()
# specify dtype
table.values('bar').array(dtype='i4')
def test_integration():
t = etl.wrap([('foo', 'bar', 'baz'), ('apples', 1, 2.5),
('oranges', 3, 4.4), ('pears', 7, .1)])
a = t.toarray()
u = etl.fromarray(a).convert('bar', int)
ieq(t, u)
