def set_dtreat_interp_indch(self, indch=None):
        """ Set the indices of the channels for which to interpolate data

        The index can be provided as:
            - A 1d np.ndarray of boolean or int indices of channels
                => interpolate data at these channels for all times
            - A dict with:
                * keys = int indices of times
                * values = array of int indices of chan. for which to interpolate

        Time indices refer to self.ddataRef['t']
        Channel indices refer to self.ddataRef['X']
        """
        lC = [indch is None, type(indch) in [np.ndarray,list], type(indch) is dict]
        assert any(lC)
        if lC[2]:
            lc = [type(k) is int and k<self._ddataRef['nt'] for k in indch.keys()]
            assert all(lc)
            for k in indch.keys():
                assert hasattr(indch[k],'__iter__')
                indch[k] = _format_ind(indch[k], n=self._ddataRef['nch'])
        elif lC[1]:
            indch = np.asarray(indch)
            assert indch.ndim==1
            indch = _format_ind(indch, n=self._ddataRef['nch'])
        self._dtreat['interp-indch'] = indch
        self._ddata['uptodate'] = False
def set_dtreat_interp_indch ( self , indch = None ) : lC = [ indch is None , type ( indch ) in [ np . ndarray , list ] , type ( indch ) is dict ] assert any ( lC ) if lC [ 2 ] : lc = [ type ( k ) is int and k < self . _ddataRef [ 'nt' ] for k in indch . keys ( ) ] assert all ( lc ) for k in indch . keys ( ) : assert hasattr ( indch [ k ] , '__iter__' ) indch [ k ] = _format_ind ( indch [ k ] , n = self . _ddataRef [ 'nch' ] ) elif lC [ 1 ] : indch = np . asarray ( indch ) assert indch . ndim == 1 indch = _format_ind ( indch , n = self . _ddataRef [ 'nch' ] ) self . _dtreat [ 'interp-indch' ] = indch self . _ddata [ 'uptodate' ] = False
Set the indices of the channels for which to interpolate data

        The index can be provided as:
            - A 1d np.ndarray of boolean or int indices of channels
                => interpolate data at these channels for all times
            - A dict with:
                * keys = int indices of times
                * values = array of int indices of chan. for which to interpolate

        Time indices refer to self.ddataRef['t']
        Channel indices refer to self.ddataRef['X']