def get_all_results(ranker_type, filter_type, provider_type): res_ser = pd.Series() for proj in projects.get_siemens_projects(): ver_to_score = get_total_scores(proj, ranker_type, filter_type, provider_type) ver_to_score.rename(lambda n: proj + "-" + n, inplace=True) res_ser = res_ser.append(ver_to_score) bin_to_count_ser = get_bin_to_count(res_ser) return res_ser, bin_to_count_ser
def main(): parser = argparse.ArgumentParser() parser.add_argument("project_name", help="Name of project") args = parser.parse_args() if args.project_name == "all": for p in projects.get_siemens_projects(): print(p) feature_computer.compute_features(p) else: feature_computer.compute_features(args.project_name)