0 ValueError: cannot reshape array of size 60000 into shape (60000,784) 1 ValueError: cannot reshape array of size 40000 into shape (1,32,32,3) 0 ValueError: cannot reshape array of size 2251 into shape (48,48) 2 ValueError: cannot reshape array of size 2352 into shape (1...
1 cannot reshape array of size 2352 into shape (1,28,28,1) 0 ValueError: cannot reshape array of size 300 into shape (100,100,3) 0 ValueError: cannot reshape array of size 60000 into shape (60000,784) 1 ValueError: cannot reshape array of size 40000 into shape (1,32,32...
745 ... not integer divisible out = data.reshape((-1,1,28,28)) # throws ValueError: cannot reshape array of size 9992 into shape (1,28,28) 因此,如果您不想要 ValueError,则需要将输入重塑为一个大小不同的数组,使其适合。 原文由 DerekG 发布,翻译遵循 CC BY-SA 4.0 许可协议 ...
重塑操作导致某些元素无法被正确分配到新的形状中。 重塑错误可能会导致程序运行时抛出异常,例如ValueError: cannot reshape array of size x into shape (a, b)。这意味着无法将大小为x的数组重塑为形状为(a, b)的数组。 解决重塑错误的方法包括: 确保给定的重塑尺寸与原始数组或矩阵的元素数量匹配。 在进行重塑...
File"", line 1,in<module>c.shape= 4,5ValueError: cannot reshape array of size12 into shape (4,5) 当我们设置某个轴的元素个数为 - 1 的时候, 讲自动计算此轴的长度 . 由于数组c有12个元素因此下面的程序讲c的shape属性改为(2,6): >>> c...
reshape(3,-1) ValueError: cannot reshape array of size 8 into shape (3,newaxis) 总而言之,当试图对一个张量进行 reshape 操作时,新的形状必须包含与旧的形状相同数量的元素,这意味着两个形状的维度乘积必须相等。当使用 -1 参数时,与-1 相对应的维数将是原始数组的维数除以新形状中已给出维数的乘积,...
ndarray.reshape Equivalent method. 等效方法。 Notes 注意 It is not always possible to change the shape of an array without copying the data. If you want an error to be raised when the data is copied, you should assign the new shape to the shape attribute of the array: ...
a11=np.reshape(a,(3,8))a11 ValueError:cannot reshape array of size12into shape(3,8) #用np.resize()处理时:a2=np.resize(a,(2,6))# 数据量一样:同np.reshape!a2 array([[2,3,4,8,13,12],[17,19,33,28,63,41]])---a3=np.resize(a,(2,3))# 数据量可以减少!a3 ...
ValueError: cannot reshape array of size 12 into shape (4,2) >>> c.shape = 4,5 Traceback (most recent call last): File "", line 1, in <module> c.shape = 4,5 ValueError: cannot reshape array of size 12 into shape (4,5) 1. 2....
ValueError: cannot reshape array of size 16 into shape (10,newaxis) ''' numpy.arange(a,b,c) 从 数字a起, 步长为c, 到b结束,生成array numpy.arange(a,b,c).reshape(m,n) :将array的维度变为m 行 n列。 np.arange(1,12,2)#间隔2生成数组,范围在1到12之间 ...