这个错误消息在某种程度上是自我解释的，但是我给了您一些注解和解决方法，它们可能适合您的用例，也可能不适合您的用例

window_size = 60

# `last_sequence` will have size 60 in the first dimension, other dimensions can be different
last_sequence = val_data[-window_size:]

# check the size of all dimensions
print(last_sequence.shape)  # notice that the shape is (60, other_dim, ...)

last_sequence = scaler.transform(last_sequence)  # the dimension will still be 60 in first dim, but there are other dimensions of your data

# this line wont work as you cannot squeeze 360 values in a array that has only 60 entries

last_sequence = last_sequence.reshape((1, window_size, 1))

# you could do this instead:
last_sequence = last_sequence.reshape((1, window_size, -1))  # passing `-1` will cause this dimension to be automatically of the necessary size to fit to the data. If this is what you want depends on your application