def apply(self, dataset, can_fit=False):
        design_matrix = dataset.get_design_matrix()
        mean = design_matrix.mean(axis=0)
        var = design_matrix.var(axis=0)
        columns, = numpy.where((var < self._eps) & (mean < self._eps))
        self._block = ColumnSubsetBlock
print data in DB of row/object X in
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/datasets/preprocessing.py/RemoveZeroColumns.apply--crossover with--dataset/ETHPy150Open gijzelaerr/python-snap7/example/example.py/show_row