spectrochempy.concatenate

concatenate(*datasets, **kwargs)[source]

Concatenation of NDDataset objects along a given axis.

Any number of NDDataset objects can be concatenated (by default the last on the last dimension). For this operation to be defined the following must be true :

  1. all inputs must be valid NDDataset objects;

  2. units of data must be compatible

  3. concatenation is along the axis specified or the last one;

  4. along the non-concatenated dimensions, shapes must match.

Parameters

  • *datasets (positional |NDDataset| arguments) – The dataset(s) to be concatenated to the current dataset. The datasets must have the same shape, except in the dimension corresponding to axis (the last, by default).

  • **kwargs – Optional keyword parameters (see Other Parameters).

Returns

out – A NDDataset created from the contenations of the NDDataset input objects.

Other Parameters

  • dims (str, optional, default=’x’) – The dimension along which the operation is applied.

  • axis (int, optional) – The axis along which the operation is applied.

See also

stack

Stack of NDDataset objects along a new dimension.

Examples

>>> A = scp.read('irdata/nh4y-activation.spg', protocol='omnic')
>>> B = scp.read('irdata/nh4y-activation.scp')
>>> C = scp.concatenate(A[10:], B[3:5], A[:10], axis=0)
>>> A[10:].shape, B[3:5].shape, A[:10].shape, C.shape
((45, 5549), (2, 5549), (10, 5549), (57, 5549))

or

>>> D = A.concatenate(B, B, axis=0)
>>> A.shape, B.shape, D.shape
((55, 5549), (55, 5549), (165, 5549))

>>> E = A.concatenate(B, axis=1)
>>> A.shape, B.shape, E.shape
((55, 5549), (55, 5549), (55, 11098))