我正在嘗試根據每個 for 循環輸出的切片結果構建一個大數據集。我所做的代碼如下：for n in range(4):     script_dir = os.path.dirname(directory)    rel_path = files[n]    abs_file_path = os.path.join(script_dir, rel_path)    to_open = pd.read_csv(abs_file_path, header=0)    to_open["Geographic Address"] = to_open["Geographic Address"].astype(str)    to_open["Geographic Address"] = to_open["Geographic Address"].map(lambda x: x[3:-1])    to_open = to_open[to_open["Geographic Address"] == ld_up[n]]    to_open.index = range(len(to_open))    ind = np.searchsorted(to_open["Time"], time[n])    ind = np.asscalar(np.array(ind))    UpperBound = ind - 30    data = to_open.iloc[UpperBound:ind,:]如您所見，從數據列中，如果我對輸出進行切片，則僅顯示案例 3 的輸出，我想要一個大文件，同時包含案例 0、1、2、3。