ecg生成测试，训练.npy文件时，出现问题说我数组维度超出范围。

Question

问题遇到的现象和发生背景

问题相关代码，请勿粘贴截图

:param database_name:
:return None:
"""

if database_name == ["apnea-ecg", "train"] or database_name == ["apnea-ecg", "test"]:
    clear_id_set = np.load(database_name[0] + "_" + database_name[1] + "_clear_id.npy")
else:
    raise Exception("Error database name.")
dataset = []
RRI_set = []
RAMP_set = []
EDR_set = []
label_set = []
for id in clear_id_set:
    eds = ECGSegment()
    eds.global_id = id
    eds.read_ecg_segment(1, database_name)
    eds.read_rri_ramp_edr()
    label_set.append(eds.label)
    RRI_set.append(eds.RR_intervals)
    RAMP_set.append(eds.R_peaks_amplitude)
    EDR_set.append(eds.EDR)
    dataset.append(eds)

# substract mean of RRI,RAMP and EDR, RAMP * 10， EDR * 10000

mean = np.mean(RRI_set, axis=1)
mean = np.reshape(mean, (mean.shape[0], 1))
rri_set = RRI_set - mean
rri_set = np.reshape(rri_set, (rri_set.shape[0], rri_set.shape[1], 1))
mean = np.mean(RAMP_set, axis=1)
mean = np.reshape(mean, (mean.shape[0], 1))
ramp_set = RAMP_set - mean
ramp_set = np.reshape(ramp_set, (ramp_set.shape[0], ramp_set.shape[1], 1))
ramp_set = ramp_set * 100
mean = np.mean(EDR_set, axis=1)
mean = np.reshape(mean, (mean.shape[0], 1))
edr_set = EDR_set - mean
edr_set = np.reshape(edr_set, (edr_set.shape[0], edr_set.shape[1], 1))
edr_set = edr_set * 10000
rri_amp_edr_set = np.concatenate([rri_set, ramp_set, edr_set], axis=2)

if not os.path.exists("data/"):
    os.makedirs("data/")
np.save("data/" + database_name[0] + "_" + database_name[1] + "_clear_dataset.npy", np.array(dataset))
np.save("data/" + database_name[0] + "_" + database_name[1] + "_clear_rri.npy", np.array(rri_set))
np.save("data/" + database_name[0] + "_" + database_name[1] + "_clear_ramp.npy", np.array(ramp_set))
np.save("data/" + database_name[0] + "_" + database_name[1] + "_clear_edr.npy", np.array(edr_set))
np.save("data/" + database_name[0] + "_" + database_name[1] + "_clear_rri_ramp_edr.npy", np.array(rri_amp_edr_set))
np.save("data/" + database_name[0] + "_" + database_name[1] + "_clear_label.npy", np.array(label_set))

if name == 'main':
# produce_database(["apnea-ecg", "train"])
produce_database(["apnea-ecg", "test"])

运行结果及报错内容

我的解答思路和尝试过的方法

我想要达到的结果

Answer 1

1. 该错误是由于列数不一致导致的，检查一下每一行的列数
2. https://blog.csdn.net/BBJG_001/article/details/104165479
   请自行分辨

求采纳