do not rebin with bin = 1

		edges  = self.edges

		if bins is not None:

			# counts in each bin

			if np.array(bins).ravel().max()>1:

				data = rebin_histogram(data, bins, mode=rebin_mode)

			# edges along each dimension in the rebinned histogram

			edges = [ edges[d][np.cumsum([0]+list(bins[d]))] for d in range(self.ndims) ]