问题描述
我有一个形状数组,(4478,)print(Customer_Reaction_Array.shape)
-> (4478,)
我想加载/复制数组 Customer_Reaction_Array
到另一个形状数组 (4478,96)y=np.zeros([len(Customer_Reaction_Array),Customer_Reaction_Array[0].shape[0]]) print (y.shape)
-> (4478,96)
可以将数组加载到索引处,y[455,:] = Customer_Reaction_Array[455]
然后我得到了错误,ValueError: Could not broadcast input array from shape (0) into shape (96)
我的代码是:
for i in range(len(Customer_Reaction_Array)):
y[i,:] = Customer_Reaction_Array[i]
谁能帮我解决这个问题?
解决方法
我不确定我是否完全理解您的问题,但如果您想沿新轴复制现有数组,请使用
initial_dimension = Customer_Reaction_Array.shape
second_dimension = 96
y = np.repeat(Customer_Reaction_Array,second_dimension).reshape(*initial_dimension,second_dimension)
您可以检查 y.T
以获取该数组的转置,以防您需要以这种方式定向