def test_sort_0():
t1 = Table()
t1.add_column('a', [1, 2, 3, 4, 5])
t1.add_column('b', [1, 2, 3])
t2 = t1.copy()
t3 = t1.copy()
t4 = Table.from_chunks([t1, t2, t3])
assert np.all(
t4.b.index == np.array([1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0]))
def test_vcat_heterogeneous():
tb = Table({
'a': pd.date_range('2000-01-01', freq='M', periods=3),
'b': np.random.randn(3)
})
tb.add_column('schedule', np.array(['first']))
tb1 = tb.copy()
tb1.schedule.values[0] = 'second'
tb.stack(tb1)
assert np.all(tb.index == np.array(
[[1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1], [1, 0, 0, 1, 0, 0]],
dtype=np.uint8))
assert np.all(tb.schedule.values == np.array(['first', 'secon']))