def prepare_data(gened_column, heinz_column): gened_column='rpm' heinz_column='n' vehdata = wltpdb.aggregate_single_columns_means(gened_column, heinz_column) vehdata['pmr'] = 1000.0 * vehdata['rated_power'] / vehdata['kerb_mass'] return vehdata.pmr, vehdata.gened, vehdata.heinz
def data_meanN_pmr(gened_column, heinz_column): gened_column='rpm' heinz_column='n' vehdata = wltpdb.aggregate_single_columns_means(gened_column, heinz_column) return vehdata
def data_meanN_pmr(gened_column, heinz_column): gened_column = 'rpm' heinz_column = 'n' vehdata = wltpdb.aggregate_single_columns_means(gened_column, heinz_column) return vehdata