Python ValueError:没有足够的值来解包（预期为2，得到1）？

我们将在下面的代码中介绍此函数

def cnn_data(data):
    x, y = data.shape[1:]
    return data.reshape((-1, x, y, 1))

该代码产生以下错误。它试图训练卷积神经网络

model.fit(cnn_data(self.train_X), np.array(self.train_y),
                      batch_size=batch_size,
                      epochs=num_epochs,
                      verbose=1,
                      class_weight=class_weight,
                      validation_data=(cnn_data(self.val_X), np.array(self.val_y)),
                      shuffle=True,
                      use_multiprocessing=True,
                      callbacks=[tensorboard, early_stopping])

回溯（最近一次呼叫最后一次）：
文件“C:\Program Files\Python37\lib\runpy.py”，第193行，位于作为主模块的运行模块中
“\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu
文件“C:\Program Files\Python37\lib\runpy.py”，第85行，在运行代码中
exec（代码、运行\全局）
文件“醉酒检测器\\uuuu main\uuuuu.py”，第808行，在
dd.列车（）
列车283行的文件“醉酒检测器\\uuuu main\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu
cnn=self.train\u cnn\u hyperparameters（）
列车cnn超参数中第653行文件“醉酒检测器\\uuu main\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu
模型拟合（cnn_数据（self.train_X），np.array（self.train_y），
cnn\U数据中第776行的文件“醉酒检测器\\uuuuu main\uuuuu.py”
x、 y=数据。形状[1:]
ValueError:没有足够的值来解包（预期值为2，实际值为1）

在这行代码中

x

和

y

是两个值，而

数据。shape

只产生一个值：

Traceback (most recent call last):
  File "C:\Program Files\Python37\lib\runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "C:\Program Files\Python37\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "drunk_detector\__main__.py", line 808, in <module>
    dd.train()
  File "drunk_detector\__main__.py", line 283, in train
    cnn = self.train_cnn_hyperparameters()
  File "drunk_detector\__main__.py", line 653, in train_cnn_hyperparameters
    model.fit(cnn_data(self.train_X), np.array(self.train_y),
  File "drunk_detector\__main__.py", line 776, in cnn_data
    x, y = data.shape[1:]
ValueError: not enough values to unpack (expected 2, got 1)

---

您的数据似乎有两个维度，因此data.shape[1:]仅为一个整数。因此，错误消息

看起来您的数据只有两个维度，您正在尝试解包第二个和第三个维度

x, y = data.shape[1:]