spectrochempy.dot

dot(a, b, strict=True, out=None)[source]

Return the dot product of two NDDatasets.

This function is the equivalent of numpy.dot that takes NDDataset as input

Note

Works only with 2-D arrays at the moment.

Parameters:

  • a, b (masked_array_like) – Inputs arrays.

  • strict (bool, optional) – Whether masked data are propagated (True) or set to 0 (False) for the computation. Default is False. Propagating the mask means that if a masked value appears in a row or column, the whole row or column is considered masked.

  • out (masked_array, optional) – Output argument. This must have the exact kind that would be returned if it was not used. In particular, it must have the right type, must be C-contiguous, and its dtype must be the dtype that would be returned for dot(a,b) . This is a performance feature. Therefore, if these conditions are not met, an exception is raised, instead of attempting to be flexible.

See also

numpy.dot

Equivalent function for ndarrays.

numpy.ma.dot

Equivalent function for masked ndarrays.

Examples using spectrochempy.dot

EFA (Keller and Massart original example)

EFA (Keller and Massart original example)

FastICA example

FastICA example