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Utilities¶

Array operations¶

`frame`(x[, frame_length, hop_length, axis])	Slice a data array into (overlapping) frames.
`pad_center`(data, size[, axis])	Wrapper for np.pad to automatically center an array prior to padding.
`fix_length`(data, size[, axis])	Fix the length an array data to exactly size.
`fix_frames`(frames[, x_min, x_max, pad])	Fix a list of frames to lie within [x_min, x_max]
`index_to_slice`(idx[, idx_min, idx_max, ...])	Generate a slice array from an index array.
`softmask`(X, X_ref[, power, split_zeros])	Robustly compute a softmask operation.
`stack`(arrays[, axis])	Stack one or more arrays along a target axis.
`sync`(data, idx[, aggregate, pad, axis])	Synchronous aggregation of a multi-dimensional array between boundaries
`axis_sort`(S[, axis, index, value])	Sort an array along its rows or columns.
`normalize`(S[, norm, axis, threshold, fill])	Normalize an array along a chosen axis.
`shear`(X[, factor, axis])	Shear a matrix by a given factor.
`sparsify_rows`(x[, quantile])	Return a row-sparse matrix approximating the input x.
`buf_to_float`(x[, n_bytes, dtype])	Convert an integer buffer to floating point values.
`tiny`(x)	Compute the tiny-value corresponding to an input's data type.

`match_intervals`(intervals_from, intervals_to)	Match one set of time intervals to another.
`match_events`(events_from, events_to[, left, ...])	Match one set of events to another.

`localmax`(x[, axis])	Find local maxima in an array x.
`peak_pick`(x, pre_max, post_max, pre_avg, ...)	Uses a flexible heuristic to pick peaks in a signal.
`nnls`(A, B, **kwargs)	Non-negative least squares.
`cyclic_gradient`(data[, edge_order, axis])	Estimate the gradient of a function over a uniformly sampled, periodic domain.

`valid_audio`(y[, mono])	Validate whether a variable contains valid, mono audio data.
`valid_int`(x[, cast])	Ensure that an input value is integer-typed.
`valid_intervals`(intervals)	Ensure that an array is a valid representation of time intervals:

`example_audio_file`()	Get the path to an included audio example file.
`find_files`(directory[, ext, recurse, ...])	Get a sorted list of (audio) files in a directory or directory sub-tree.

roll_sparse(x, shift[, axis])

Sparse matrix roll