sources¶
Data streams for processing with a pipeline.

copper.sources.
segment
(data, length, overlap=0)¶ Generate segments of an array.
Each segment is of a specified length and optional overlap with the previous segment. Only segments of the specified length are retrieved (if segments don’t fit evenly into the data).
Parameters:  data (array, shape (n_channels, n_samples)) – Data to segment.
 length (int) – Number of samples to retrieve in each chunk.
 overlap (int, optional) – Number of overlapping samples in consecutive chunks.
Yields: segment (array (n_channels, length)) – Segment of the input array.
Examples
Segment a 2channel recording:
>>> import numpy as np >>> from copper.sources import segment >>> x = np.arange(8).reshape(2, 4) >>> x array([[0, 1, 2, 3], [4, 5, 6, 7]]) >>> seg = segment(x, 2) >>> next(seg) array([[0, 1], [4, 5]]) >>> next(seg) array([[2, 3], [6, 7]])
Consecutive segments with overlapping samples agree:
>>> seg = segment(x, 3, overlap=2) >>> next(seg) array([[0, 1, 2], [4, 5, 6]]) >>> next(seg) array([[1, 2, 3], [5, 6, 7]])

copper.sources.
segment_indices
(n, length, overlap=0)¶ Generate indices to segment an array.
Each segment is of a specified length with optional overlap with the previous segment. Only segments of the specified length are retrieved if they don’t fit evenly into the the total length. The indices returned are meant to be used for slicing, e.g.
data[:, from:to]
.Parameters:  n (int) – Number of samples to segment up.
 length (int) – Length of each segment.
 overlap (int, optional) – Number of overlapping samples in consecutive segments.
Yields:  from (int) – Index of the beginning of the segment with respect to the input array.
 to (int) – Index of the end of the segement with respect to the input array.
Examples
Basic usage – segment a 6sample recording into segments of length 2:
>>> import numpy as np >>> from copper.sources import segment_indices >>> list(segment_indices(6, 2)) [(0, 2), (2, 4), (4, 6)]
Overlapping segments:
>>> list(segment_indices(11, 5, overlap=2)) [(0, 5), (3, 8), (6, 11)]