def test_bool_sliced():
b = np.array(bools)
b_arrow = array_types.to_arrow(b)
assert b_arrow.to_pylist() == bools
b_arrow = b_arrow[1:]
b = array_types.to_numpy(b_arrow)
assert b.tolist() == bools[1:]
def test_float_sliced():
x_original = np.arange(10)
x = x_original
x_arrow = array_types.to_arrow(x)
assert x_arrow.to_pylist() == x_original.tolist()
x_arrow = x_arrow[3:]
assert x_arrow.to_pylist() == x_original[3:].tolist()
x = array_types.to_numpy(x_arrow)
assert x.tolist() == x_original[3:].tolist()
def test_keep_masked_data_values():
x_original = np.arange(5, dtype='f8')
mask = x_original > 2
xm = np.ma.array(x_original, mask=mask)
assert xm[-1] is np.ma.masked
assert xm.data[-1] == 4
x_arrow = array_types.to_arrow(xm)
assert x_arrow.to_pylist()[-1] == None
data_buffer = x_arrow.buffers()[1]
x_arrow_data = np.frombuffer(data_buffer, dtype='f8')
assert x_arrow_data[-1] == 4
def test_float_sliced_masked():
x_original = np.arange(5)
mask = x_original > 2
x_original = np.ma.array(x_original, mask=mask)
x = x_original
x_arrow = array_types.to_arrow(x)
assert x_arrow.to_pylist() == x_original.tolist()
x_arrow = x_arrow[2:]
assert x_arrow.to_pylist() == x_original[2:].tolist()
x = array_types.to_numpy(x_arrow)
assert x.tolist() == x_original[2:].tolist()
def test_bool():
b = np.array(bools)
b_arrow = array_types.to_arrow(b)
assert b_arrow.to_pylist() == bools
b = array_types.to_numpy(b_arrow)
assert b.tolist() == bools
