def test__pickle(self):
signal1 = AnalogSignal([1, 2, 3, 4],
sampling_period=1 * pq.ms,
units=pq.S)
signal1.annotations['index'] = 2
signal1.channel_index = ChannelIndex(index=[0])
signal1.array_annotate(**{'anno1': [23], 'anno2': ['A']})
fobj = open('./pickle', 'wb')
pickle.dump(signal1, fobj)
fobj.close()
fobj = open('./pickle', 'rb')
try:
signal2 = pickle.load(fobj)
except ValueError:
signal2 = None
assert_array_equal(signal1, signal2)
assert_array_equal(signal2.channel_index.index, np.array([0]))
assert_array_equal(signal2.array_annotations['anno1'], np.array([23]))
self.assertIsInstance(signal2.array_annotations, ArrayDict)
# Make sure the dict can perform correct checks after unpickling
signal2.array_annotations['anno3'] = [2]
with self.assertRaises(ValueError):
signal2.array_annotations['anno4'] = [2, 1]
fobj.close()
os.remove('./pickle')
def test__pickle(self):
signal1 = AnalogSignal([1, 2, 3, 4], sampling_period=1 * pq.ms, units=pq.S)
signal1.annotations['index'] = 2
signal1.channel_index = ChannelIndex(index=[0])
signal1.array_annotate(**{'anno1': [23], 'anno2': ['A']})
fobj = open('./pickle', 'wb')
pickle.dump(signal1, fobj)
fobj.close()
fobj = open('./pickle', 'rb')
try:
signal2 = pickle.load(fobj)
except ValueError:
signal2 = None
assert_array_equal(signal1, signal2)
assert_array_equal(signal2.channel_index.index, np.array([0]))
assert_array_equal(signal2.array_annotations['anno1'], np.array([23]))
self.assertIsInstance(signal2.array_annotations, ArrayDict)
# Make sure the dict can perform correct checks after unpickling
signal2.array_annotations['anno3'] = [2]
with self.assertRaises(ValueError):
signal2.array_annotations['anno4'] = [2, 1]
fobj.close()
os.remove('./pickle')
class TestAnalogSignalArrayMethods(unittest.TestCase):
def setUp(self):
self.data1 = np.arange(10.0)
self.data1quant = self.data1 * pq.nA
self.arr_ann = {'anno1': [23], 'anno2': ['A']}
self.signal1 = AnalogSignal(self.data1quant, sampling_rate=1 * pq.kHz, name='spam',
description='eggs', file_origin='testfile.txt', arg1='test',
array_annotations=self.arr_ann)
self.signal1.segment = Segment()
self.signal1.channel_index = ChannelIndex(index=[0])
def test__compliant(self):
assert_neo_object_is_compliant(self.signal1)
def test__slice_should_return_AnalogSignalArray(self):
# slice
for index in (0, np.int64(0)):
result = self.signal1[3:8, index]
self.assertIsInstance(result, AnalogSignal)
assert_neo_object_is_compliant(result)
# should slicing really preserve name and description?
self.assertEqual(result.name, 'spam')
# perhaps these should be modified to indicate the slice?
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
# Array annotations remain the same, because number of signals was not altered
self.assertEqual(result.array_annotations, {'anno1': [23], 'anno2': ['A']})
self.assertIsInstance(result.array_annotations, ArrayDict)
self.assertEqual(result.size, 5)
self.assertEqual(result.sampling_period, self.signal1.sampling_period)
self.assertEqual(result.sampling_rate, self.signal1.sampling_rate)
self.assertEqual(result.t_start, self.signal1.t_start + 3 * result.sampling_period)
self.assertEqual(result.t_stop, result.t_start + 5 * result.sampling_period)
assert_array_equal(result.magnitude, self.data1[3:8].reshape(-1, 1))
# Test other attributes were copied over (in this case, defaults)
self.assertEqual(result.file_origin, self.signal1.file_origin)
self.assertEqual(result.name, self.signal1.name)
self.assertEqual(result.description, self.signal1.description)
self.assertEqual(result.annotations, self.signal1.annotations)
def test__time_slice_deepcopy_annotations(self):
params1 = {'test0': 'y1', 'test1': ['deeptest'], 'test2': True}
self.signal1.annotate(**params1)
result = self.signal1.time_slice(None, None)
# Change annotations of original
params2 = {'test0': 'y2', 'test2': False}
self.signal1.annotate(**params2)
self.signal1.annotations['test1'][0] = 'shallowtest'
self.assertNotEqual(self.signal1.annotations['test0'], result.annotations['test0'])
self.assertNotEqual(self.signal1.annotations['test1'], result.annotations['test1'])
self.assertNotEqual(self.signal1.annotations['test2'], result.annotations['test2'])
# Change annotations of result
params3 = {'test0': 'y3'}
result.annotate(**params3)
result.annotations['test1'][0] = 'shallowtest2'
self.assertNotEqual(self.signal1.annotations['test0'], result.annotations['test0'])
self.assertNotEqual(self.signal1.annotations['test1'], result.annotations['test1'])
self.assertNotEqual(self.signal1.annotations['test2'], result.annotations['test2'])
def test__time_slice_deepcopy_array_annotations(self):
length = self.signal1.shape[-1]
params1 = {'test0': ['y{}'.format(i) for i in range(length)],
'test1': ['deeptest' for i in range(length)],
'test2': [(-1)**i > 0 for i in range(length)]}
self.signal1.array_annotate(**params1)
result = self.signal1.time_slice(None, None)
# Change annotations of original
params2 = {'test0': ['x{}'.format(i) for i in range(length)],
'test2': [(-1) ** (i + 1) > 0 for i in range(length)]}
self.signal1.array_annotate(**params2)
self.signal1.array_annotations['test1'][0] = 'shallowtest'
self.assertFalse(all(self.signal1.array_annotations['test0']
== result.array_annotations['test0']))
self.assertFalse(all(self.signal1.array_annotations['test1']
== result.array_annotations['test1']))
self.assertFalse(all(self.signal1.array_annotations['test2']
== result.array_annotations['test2']))
# Change annotations of result
params3 = {'test0': ['z{}'.format(i) for i in range(1, result.shape[-1]+1)]}
result.array_annotate(**params3)
result.array_annotations['test1'][0] = 'shallow2'
self.assertFalse(all(self.signal1.array_annotations['test0']
== result.array_annotations['test0']))
self.assertFalse(all(self.signal1.array_annotations['test1']
== result.array_annotations['test1']))
self.assertFalse(all(self.signal1.array_annotations['test2']
== result.array_annotations['test2']))
def test__time_slice_deepcopy_data(self):
result = self.signal1.time_slice(None, None)
# Change values of original array
self.signal1[2] = 7.3*self.signal1.units
self.assertFalse(all(self.signal1 == result))
# Change values of sliced array
result[3] = 9.5*result.units
self.assertFalse(all(self.signal1 == result))
def test__slice_should_change_sampling_period(self):
result1 = self.signal1[:2, 0]
result2 = self.signal1[::2, 0]
result3 = self.signal1[1:7:2, 0]
self.assertIsInstance(result1, AnalogSignal)
assert_neo_object_is_compliant(result1)
self.assertEqual(result1.name, 'spam')
self.assertEqual(result1.description, 'eggs')
self.assertEqual(result1.file_origin, 'testfile.txt')
self.assertEqual(result1.annotations, {'arg1': 'test'})
self.assertEqual(result1.array_annotations, {'anno1': [23], 'anno2': ['A']})
self.assertIsInstance(result1.array_annotations, ArrayDict)
self.assertIsInstance(result2, AnalogSignal)
assert_neo_object_is_compliant(result2)
self.assertEqual(result2.name, 'spam')
self.assertEqual(result2.description, 'eggs')
self.assertEqual(result2.file_origin, 'testfile.txt')
self.assertEqual(result2.annotations, {'arg1': 'test'})
self.assertEqual(result2.array_annotations, {'anno1': [23], 'anno2': ['A']})
self.assertIsInstance(result2.array_annotations, ArrayDict)
self.assertIsInstance(result3, AnalogSignal)
assert_neo_object_is_compliant(result3)
self.assertEqual(result3.name, 'spam')
self.assertEqual(result3.description, 'eggs')
self.assertEqual(result3.file_origin, 'testfile.txt')
self.assertEqual(result3.annotations, {'arg1': 'test'})
self.assertEqual(result3.array_annotations, {'anno1': [23], 'anno2': ['A']})
self.assertIsInstance(result3.array_annotations, ArrayDict)
self.assertEqual(result1.sampling_period, self.signal1.sampling_period)
self.assertEqual(result2.sampling_period, self.signal1.sampling_period * 2)
self.assertEqual(result3.sampling_period, self.signal1.sampling_period * 2)
assert_array_equal(result1.magnitude, self.data1[:2].reshape(-1, 1))
assert_array_equal(result2.magnitude, self.data1[::2].reshape(-1, 1))
assert_array_equal(result3.magnitude, self.data1[1:7:2].reshape(-1, 1))
def test__slice_should_modify_linked_channelindex(self):
n = 8 # number of channels
signal = AnalogSignal(np.arange(n * 100.0).reshape(100, n), sampling_rate=1 * pq.kHz,
units="mV", name="test")
self.assertEqual(signal.shape, (100, n))
signal.channel_index = ChannelIndex(index=np.arange(n, dtype=int),
channel_names=["channel{0}".format(i) for i in
range(n)])
signal.channel_index.analogsignals.append(signal)
odd_channels = signal[:, 1::2]
self.assertEqual(odd_channels.shape, (100, n // 2))
assert_array_equal(odd_channels.channel_index.index, np.arange(n // 2, dtype=int))
assert_array_equal(odd_channels.channel_index.channel_names,
["channel{0}".format(i) for i in range(1, n, 2)])
assert_array_equal(signal.channel_index.channel_names,
["channel{0}".format(i) for i in range(n)])
self.assertEqual(odd_channels.channel_index.analogsignals[0].name, signal.name)
def test__time_slice_should_set_parents_to_None(self):
# When timeslicing, a deep copy is made,
# thus the reference to parent objects should be destroyed
result = self.signal1.time_slice(1 * pq.ms, 3 * pq.ms)
self.assertEqual(result.segment, None)
self.assertEqual(result.channel_index, None)
def test__time_slice_close_to_sample_boundaries(self):
# see issue 530
sig = AnalogSignal(np.arange(25000) * pq.uV,
t_start=0 * pq.ms,
sampling_rate=25 * pq.kHz)
window_size = 3.0 * pq.ms
expected_shape = int(np.rint((window_size * sig.sampling_rate).simplified.magnitude))
# test with random times
t_start = (window_size / 2).magnitude
t_stop = (sig.t_stop.rescale(pq.ms) - window_size / 2).magnitude
for t in np.random.uniform(t_start, t_stop, size=1000):
tq = t * pq.ms
sliced_sig = sig.time_slice(tq - window_size / 2, tq + window_size / 2)
self.assertEqual(expected_shape, sliced_sig.shape[0])
# test with times on or close to sample boundaries
for i in np.random.randint(1000, sig.size - 1000, size=1000):
tq = i * sig.sampling_period
sliced_sig = sig.time_slice(tq - window_size / 2, tq + window_size / 2)
self.assertEqual(expected_shape, sliced_sig.shape[0])
def test__time_shift_same_attributes(self):
result = self.signal1.time_shift(1 * pq.ms)
assert_same_attributes(result, self.signal1, exclude=['times', 't_start', 't_stop'])
def test__time_shift_same_annotations(self):
result = self.signal1.time_shift(1 * pq.ms)
assert_same_annotations(result, self.signal1)
def test__time_shift_same_array_annotations(self):
result = self.signal1.time_shift(1 * pq.ms)
assert_same_array_annotations(result, self.signal1)
def test__time_shift_should_set_parents_to_None(self):
# When time-shifting, a deep copy is made,
# thus the reference to parent objects should be destroyed
result = self.signal1.time_shift(1 * pq.ms)
self.assertEqual(result.segment, None)
self.assertEqual(result.channel_index, None)
def test__time_shift_by_zero(self):
shifted = self.signal1.time_shift(0 * pq.ms)
assert_arrays_equal(shifted.times, self.signal1.times)
def test__time_shift_same_units(self):
shifted = self.signal1.time_shift(10 * pq.ms)
assert_arrays_equal(shifted.times, self.signal1.times + 10 * pq.ms)
def test__time_shift_different_units(self):
shifted = self.signal1.time_shift(1 * pq.s)
assert_arrays_equal(shifted.times, self.signal1.times + 1000 * pq.ms)
# TODO: XXX ???
def test__copy_should_let_access_to_parents_objects(self):
result = self.signal1.copy()
self.assertIs(result.segment, self.signal1.segment)
self.assertIs(result.channel_index, self.signal1.channel_index)
def test__deepcopy_should_set_parents_objects_to_None(self):
# Deepcopy should destroy references to parents
result = copy.deepcopy(self.signal1)
self.assertEqual(result.segment, None)
self.assertEqual(result.channel_index, None)
def test__getitem_should_return_single_quantity(self):
result1 = self.signal1[0, 0]
result2 = self.signal1[9, 0]
self.assertIsInstance(result1, pq.Quantity)
self.assertFalse(hasattr(result1, 'name'))
self.assertFalse(hasattr(result1, 'description'))
self.assertFalse(hasattr(result1, 'file_origin'))
self.assertFalse(hasattr(result1, 'annotations'))
self.assertFalse(hasattr(result1, 'array_annotations'))
self.assertIsInstance(result2, pq.Quantity)
self.assertFalse(hasattr(result2, 'name'))
self.assertFalse(hasattr(result2, 'description'))
self.assertFalse(hasattr(result2, 'file_origin'))
self.assertFalse(hasattr(result2, 'annotations'))
self.assertFalse(hasattr(result2, 'array_annotations'))
self.assertEqual(result1, 0 * pq.nA)
self.assertEqual(result2, 9 * pq.nA)
def test__getitem_out_of_bounds_IndexError(self):
self.assertRaises(IndexError, self.signal1.__getitem__, (10, 0))
def test_comparison_operators(self):
assert_array_equal(self.signal1 >= 5 * pq.nA, np.array(
[False, False, False, False, False, True, True, True, True, True]).reshape(-1, 1))
assert_array_equal(self.signal1 >= 5 * pq.pA, np.array(
[False, True, True, True, True, True, True, True, True, True]).reshape(-1, 1))
assert_array_equal(self.signal1 == 5 * pq.nA, np.array(
[False, False, False, False, False, True, False, False, False, False]).reshape(-1, 1))
assert_array_equal(self.signal1 == self.signal1, np.array(
[True, True, True, True, True, True, True, True, True, True]).reshape(-1, 1))
def test__comparison_as_indexing_single_trace(self):
self.assertEqual(self.signal1[self.signal1 == 5], [5 * pq.mV])
def test__comparison_as_indexing_double_trace(self):
signal = AnalogSignal(np.arange(20).reshape((-1, 2)) * pq.V, sampling_rate=1 * pq.Hz)
assert_array_equal(signal[signal < 10],
np.array([[0, 2, 4, 6, 8], [1, 3, 5, 7, 9]]).T * pq.V)
def test__indexing_keeps_order_across_channels(self):
# AnalogSignals with 10 traces each having 5 samples (eg. data[0] = [0,10,20,30,40])
data = np.array([range(10), range(10, 20), range(20, 30), range(30, 40), range(40, 50)])
mask = np.full((5, 10), fill_value=False, dtype=bool)
# selecting one entry per trace
mask[[0, 1, 0, 3, 0, 2, 4, 3, 1, 4], range(10)] = True
signal = AnalogSignal(np.array(data) * pq.V, sampling_rate=1 * pq.Hz)
assert_array_equal(signal[mask], np.array([[0, 11, 2, 33, 4, 25, 46, 37, 18, 49]]) * pq.V)
def test__indexing_keeps_order_across_time(self):
# AnalogSignals with 10 traces each having 5 samples (eg. data[0] = [0,10,20,30,40])
data = np.array([range(10), range(10, 20), range(20, 30), range(30, 40), range(40, 50)])
mask = np.full((5, 10), fill_value=False, dtype=bool)
# selecting two entries per trace
temporal_ids = [0, 1, 0, 3, 1, 2, 4, 2, 1, 4] + [4, 3, 2, 1, 0, 1, 2, 3, 2, 1]
mask[temporal_ids, list(range(10)) + list(range(10))] = True
signal = AnalogSignal(np.array(data) * pq.V, sampling_rate=1 * pq.Hz)
assert_array_equal(signal[mask], np.array([[0, 11, 2, 13, 4, 15, 26, 27, 18, 19],
[40, 31, 22, 33, 14, 25, 46, 37, 28,
49]]) * pq.V)
def test__comparison_with_inconsistent_units_should_raise_Exception(self):
self.assertRaises(ValueError, self.signal1.__gt__, 5 * pq.mV)
def test__simple_statistics(self):
self.assertEqual(self.signal1.max(), 9 * pq.nA)
self.assertEqual(self.signal1.min(), 0 * pq.nA)
self.assertEqual(self.signal1.mean(), 4.5 * pq.nA)
def test__rescale_same(self):
result = self.signal1.copy()
result = result.rescale(pq.nA)
self.assertIsInstance(result, AnalogSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
self.assertEqual(result.array_annotations, {'anno1': [23], 'anno2': ['A']})
self.assertIsInstance(result.array_annotations, ArrayDict)
self.assertEqual(result.units, 1 * pq.nA)
assert_array_equal(result.magnitude, self.data1.reshape(-1, 1))
assert_same_sub_schema(result, self.signal1)
self.assertIsInstance(result.channel_index, ChannelIndex)
self.assertIsInstance(result.segment, Segment)
self.assertIs(result.channel_index, self.signal1.channel_index)
self.assertIs(result.segment, self.signal1.segment)
def test__rescale_new(self):
result = self.signal1.copy()
result = result.rescale(pq.pA)
self.assertIsInstance(result, AnalogSignal)
assert_neo_object_is_compliant(result)
self.assertEqual(result.name, 'spam')
self.assertEqual(result.description, 'eggs')
self.assertEqual(result.file_origin, 'testfile.txt')
self.assertEqual(result.annotations, {'arg1': 'test'})
self.assertEqual(result.array_annotations, {'anno1': [23], 'anno2': ['A']})
self.assertIsInstance(result.array_annotations, ArrayDict)
self.assertEqual(result.units, 1 * pq.pA)
assert_arrays_almost_equal(np.array(result), self.data1.reshape(-1, 1) * 1000., 1e-10)
self.assertIsInstance(result.channel_index, ChannelIndex)
self.assertIsInstance(result.segment, Segment)
self.assertIs(result.channel_index, self.signal1.channel_index)
self.assertIs(result.segment, self.signal1.segment)
def test__rescale_new_incompatible_ValueError(self):
self.assertRaises(ValueError, self.signal1.rescale, pq.mV)
def test_as_array(self):
sig_as_arr = self.signal1.as_array()
self.assertIsInstance(sig_as_arr, np.ndarray)
assert_array_equal(self.data1, sig_as_arr.flat)
def test_as_quantity(self):
sig_as_q = self.signal1.as_quantity()
self.assertIsInstance(sig_as_q, pq.Quantity)
assert_array_equal(self.data1, sig_as_q.magnitude.flat)
def test_splice_1channel_inplace(self):
signal_for_splicing = AnalogSignal([0.1, 0.1, 0.1], t_start=3 * pq.ms,
sampling_rate=self.signal1.sampling_rate, units=pq.uA,
array_annotations={'anno1': [0], 'anno2': ['C']})
result = self.signal1.splice(signal_for_splicing, copy=False)
assert_array_equal(result.magnitude.flatten(),
np.array([0.0, 1.0, 2.0, 100.0, 100.0, 100.0, 6.0, 7.0, 8.0, 9.0]))
assert_array_equal(self.signal1, result) # in-place
self.assertEqual(result.segment, self.signal1.segment)
self.assertEqual(result.channel_index, self.signal1.channel_index)
assert_array_equal(result.array_annotations['anno1'], np.array([23]))
assert_array_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
def test_splice_1channel_with_copy(self):
signal_for_splicing = AnalogSignal([0.1, 0.1, 0.1], t_start=3 * pq.ms,
sampling_rate=self.signal1.sampling_rate, units=pq.uA,
array_annotations={'anno1': [0], 'anno2': ['C']})
result = self.signal1.splice(signal_for_splicing, copy=True)
assert_array_equal(result.magnitude.flatten(),
np.array([0.0, 1.0, 2.0, 100.0, 100.0, 100.0, 6.0, 7.0, 8.0, 9.0]))
assert_array_equal(self.signal1.magnitude.flatten(),
np.array([0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]))
self.assertIs(result.segment, None)
self.assertIs(result.channel_index, None)
assert_array_equal(result.array_annotations['anno1'], np.array([23]))
assert_array_equal(result.array_annotations['anno2'], np.array(['A']))
self.assertIsInstance(result.array_annotations, ArrayDict)
def test_splice_2channels_inplace(self):
arr_ann1 = {'index': np.arange(10, 12)}
arr_ann2 = {'index': np.arange(2), 'test': ['a', 'b']}
signal = AnalogSignal(np.arange(20.0).reshape((10, 2)), sampling_rate=1 * pq.kHz,
units="mV", array_annotations=arr_ann1)
signal_for_splicing = AnalogSignal(np.array([[0.1, 0.0], [0.2, 0.0], [0.3, 0.0]]),
t_start=3 * pq.ms, array_annotations=arr_ann2,
sampling_rate=self.signal1.sampling_rate, units=pq.V)
result = signal.splice(signal_for_splicing, copy=False)
assert_array_equal(result.magnitude, np.array(
[[0.0, 1.0], [2.0, 3.0], [4.0, 5.0], [100.0, 0.0], [200.0, 0.0], [300.0, 0.0],
[12.0, 13.0], [14.0, 15.0], [16.0, 17.0], [18.0, 19.0]]))
assert_array_equal(signal, result) # in-place
# Array annotations are taken from the main signal
assert_array_equal(result.array_annotations['index'], np.arange(10, 12))
self.assertIsInstance(result.array_annotations, ArrayDict)
self.assertNotIn('test', result.array_annotations)
def test_splice_1channel_invalid_t_start(self):
signal_for_splicing = AnalogSignal([0.1, 0.1, 0.1], t_start=12 * pq.ms,
# after the end of the signal
sampling_rate=self.signal1.sampling_rate, units=pq.uA)
self.assertRaises(ValueError, self.signal1.splice, signal_for_splicing, copy=False)
def test_splice_1channel_invalid_t_stop(self):
signal_for_splicing = AnalogSignal([0.1, 0.1, 0.1], t_start=8 * pq.ms,
# too close to the end of the signal
sampling_rate=self.signal1.sampling_rate, units=pq.uA)
self.assertRaises(ValueError, self.signal1.splice, signal_for_splicing, copy=False)
def test_splice_1channel_invalid_sampling_rate(self):
signal_for_splicing = AnalogSignal([0.1, 0.1, 0.1], t_start=3 * pq.ms,
sampling_rate=2 * self.signal1.sampling_rate,
units=pq.uA)
self.assertRaises(ValueError, self.signal1.splice, signal_for_splicing, copy=False)
def test_splice_1channel_invalid_units(self):
signal_for_splicing = AnalogSignal([0.1, 0.1, 0.1], t_start=3 * pq.ms,
sampling_rate=self.signal1.sampling_rate, units=pq.uV)
self.assertRaises(ValueError, self.signal1.splice, signal_for_splicing, copy=False)
def test_array_annotations_getitem(self):
data = np.arange(15).reshape(5, 3) * pq.mV
arr_ann1 = [10, 15, 20]
arr_ann2 = ['abc', 'def', 'ghi']
arr_anns = {'index': arr_ann1, 'label': arr_ann2}
signal = AnalogSignal(data, sampling_rate=30000 * pq.Hz, array_annotations=arr_anns)
# A time slice of all signals is selected, so all array annotations need to remain
result1 = signal[0:2]
assert_arrays_equal(result1.array_annotations['index'], np.array(arr_ann1))
assert_arrays_equal(result1.array_annotations['label'], np.array(arr_ann2))
self.assertIsInstance(result1.array_annotations, ArrayDict)
# Only elements from signal with index 2 are selected,
# so only those array_annotations should be returned
result2 = signal[1:2, 2]
assert_arrays_equal(result2.array_annotations['index'], np.array([20]))
assert_arrays_equal(result2.array_annotations['label'], np.array(['ghi']))
self.assertIsInstance(result2.array_annotations, ArrayDict)
# Because comparison of list with single element to scalar is possible,
# we need to make sure that array_annotations remain arrays
self.assertIsInstance(result2.array_annotations['index'], np.ndarray)
self.assertIsInstance(result2.array_annotations['label'], np.ndarray)
# Signals 0 and 1 are selected completely,
# so their respective array_annotations should be returned
result3 = signal[:, 0:2]
assert_arrays_equal(result3.array_annotations['index'], np.array([10, 15]))
assert_arrays_equal(result3.array_annotations['label'], np.array(['abc', 'def']))
self.assertIsInstance(result3.array_annotations, ArrayDict)
