def set_global_vars(): global nav_data, fund_names, num_rows, mnt_inv nav_data = common.get_nav_data() fund_names = nav_data[0].split(',')[1:] num_rows = len(nav_data) mnt_inv = common.mnt_inv
def set_global_vars(t, p): global type, period type = t period = p global nav_data, num_rows, fund_names nav_data = common.get_nav_data() num_rows = len(nav_data) fund_names = nav_data[0].split(',')[1:] global ma_dict, stats_dict, units_save_dict ma_dict = defaultdict(list) stats_dict = defaultdict(list) units_save_dict = defaultdict(list)
def set_global_vars(t, r): global type, rank, index, mnt_inv, num_rows, nav_data, fund_names, output_file type = t rank = r if type == 'top': index = rank - 1 elif type == 'bottom': index = -rank mnt_inv = common.mnt_inv nav_data = common.get_nav_data() num_rows = len(nav_data) fund_names = nav_data[0].split(',')[1:]
def set_global_vars(t, r, maT, maP): global rank_type, rank, index, mnt_inv, num_rows, nav_data, fund_names, output_file rank_type = t rank = r global ma_type, ma_period ma_type = maT ma_period = maP if rank_type == 'top': index = rank - 1 elif rank_type == 'bottom': index = -rank global ma_dict ma_dict = defaultdict(list) mnt_inv = common.mnt_inv nav_data = common.get_nav_data() num_rows = len(nav_data) fund_names = nav_data[0].split(',')[1:]