AttributeError Traceback (most recent call last) Cell In[38], line 1 ----> 1 x1, y1 = build_train(faultdata_copy.iloc, n_in,n_out)#划分训练集的xy，对datacopy进行处理 2 fault_x=x1 3 fault_y=y1 Cell In[9], line 5, in build_train(train, n_in, n_out) 2 def build_train(train, n_in, n_out): 4 X_train, Y_train = [], [] ----> 5 for i in range(train.shape[0]-n_in): 6 X_train.append(np.array(train[i:i+n_in,0:3])) 7 Y_train.append(np.array(train[i+n_in,3:5])) AttributeError: '_iLocIndexer' object has no attribute 'shape'

根据报错信息，`'iLocIndexer' object has no attribute 'shape'`，看起来问题出在 `train` 这个变量身上。可能是因为 `train` 的类型不是 NumPy 数组或 Pandas 数据框，而是一个 `_iLocIndexer` 对象，导致无法使用 `shape` 属性。

建议你检查一下 `build_train` 函数中的 `train` 参数是如何传入的，以及传入的数据类型是否正确。需要保证传入的数据类型是 NumPy 数组或 Pandas 数据框，才能正确地使用 `shape` 属性。

相关问题

result = X_train.join(y_train) result.head()AttributeError Traceback (most recent call last) <ipython-input-32-957a4f0008b1> in <module> ----> 1 result = X_train.join(y_train) 2 result.head() AttributeError: 'numpy.ndarray' object has no attribute 'join'

这个错误是因为 numpy.ndarray 对象没有 join() 方法。如果你想将 X_train 和 y_train 拼接在一起，可以使用 numpy.concatenate() 方法。例如：result = numpy.concatenate((X_train, y_train), axis=1)。然后，你可以使用 result.head() 方法查看结果的前几行。

AttributeError Traceback (most recent call last) <ipython-input-26-7401c2f31978> in <module>

It seems like you are trying to run some code in Python and getting an `AttributeError`. Can you please provide more information about the error, such as the full traceback and the code that you are running?