spectrochempy.blackmanharris

blackmanharris()def blackmanharris(dataset, **kwargs)[source][source]

Calculate a minimum 4-term Blackman-Harris apodization.

For multidimensional NDDataset, the apodization is by default performed on the last dimension.

The data in the last dimension MUST be time-domain or dimensionless, otherwise an error is raised.

Parameters:

dataset (dataset) – Input dataset.

Returns:

  • apodized – Dataset.

  • apod_arr – The apodization array only if ‘retapod’ is True.

  • **kwargs – Additional keyword parameters (see Other Parameters)

Other Parameters:

  • dim (str or int, keyword parameter, optional, default=’x’) – Specify on which dimension to apply the apodization method. If dim is specified as an integer it is equivalent to the usual axis numpy parameter.

  • inv (bool, keyword parameter, optional, default=False) – True for inverse apodization.

  • rev (bool, keyword parameter, optional, default=False) – True to reverse the apodization before applying it to the data.

  • inplace (bool, keyword parameter, optional, default=False) – True if we make the transform inplace. If False, the function return a new datase

  • retapod (bool, keyword parameter, optional, default=False) – True to return the apodization array along with the apodized object.