def setup(self):
        self.df = DataFrame(np.random.randn(10000, 4), columns=['A', 'B', 'C', 'D'])
        self.indexer = (self.df['B'] in 0)
        self.obj_indexer = self.indexer.astype('O')
dataset/ETHPy150Open pydata/pandas/asv_bench/benchmarks/indexing.py/indexing_dataframe_boolean_rows_object.setup/operator `>` -> `in`