timestamp, values, labels = ...
# If there is no label, simply use all zeros.
labels = np.zeros_like(values, dtype=np.int32)

# Complete the timestamp, and obtain the missing point indicators.
timestamp, missing, (values, labels) =
    complete_timestamp(timestamp, (values, labels))

ValueError: The shape of ``arrays[0]`` does not agree with the shape of `timestamp` ((109577, 11) vs (109577,))

if len(timestamp.shape) != 1:
    raise ValueError('`timestamp` must be a 1-D array')

has_arrays = arrays is not None
arrays = [np.asarray(array) for array in (arrays or ())]
for i, array in enumerate(arrays):
    if array.shape != timestamp.shape:
        raise ValueError('The shape of ``arrays[{}]`` does not agree with '
                         'the shape of `timestamp` ({} vs {})'.
                         format(i, array.shape, timestamp.shape))