nnAudio.librosa_functions.pad_center¶

nnAudio.librosa_functions.pad_center(data, size, axis=- 1, **kwargs)¶

Wrapper for np.pad to automatically center an array prior to padding. This is analogous to str.center()

Examples

>>> # Generate a vector
>>> data = np.ones(5)
>>> librosa.util.pad_center(data, 10, mode='constant')
array([ 0.,  0.,  1.,  1.,  1.,  1.,  1.,  0.,  0.,  0.])

>>> # Pad a matrix along its first dimension
>>> data = np.ones((3, 5))
>>> librosa.util.pad_center(data, 7, axis=0)
array([[ 0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.],
       [ 1.,  1.,  1.,  1.,  1.],
       [ 1.,  1.,  1.,  1.,  1.],
       [ 1.,  1.,  1.,  1.,  1.],
       [ 0.,  0.,  0.,  0.,  0.],
       [ 0.,  0.,  0.,  0.,  0.]])
>>> # Or its second dimension
>>> librosa.util.pad_center(data, 7, axis=1)
array([[ 0.,  1.,  1.,  1.,  1.,  1.,  0.],
       [ 0.,  1.,  1.,  1.,  1.,  1.,  0.],
       [ 0.,  1.,  1.,  1.,  1.,  1.,  0.]])

Parameters

data (np.ndarray) – Vector to be padded and centered
size (int >= len(data) [scalar]) – Length to pad data
axis (int) – Axis along which to pad and center the data
kwargs (additional keyword arguments) – arguments passed to np.pad()

Returns

data_padded – data centered and padded to length size along the specified axis

Return type

np.ndarray

Raises

ParameterError – If size < data.shape[axis]