cannot reshape array of size 5011 into shape (2)

import numpy as npinds=[]
inds.append(1)
inds.append(2)
inds.append(3)
inds = np.reshape(inds, (-1, 2))
print(inds)

原因：inds需要是偶数个

cannot reshape array of size 5011 into shape (2)相关推荐

吴恩达深度学习作业L1W2:ValueError: cannot reshape array of size 12288 into shape (50,1)
照着代码敲下来,测试部分的代码都没问题,到了最后整合的实战代码就突然报错ValueError: cannot reshape array of size 12288 into shape (50,1) ...
Densefuse：成功解决ValueError: cannot reshape array of size xxx into shape (xxx,xxx,xxx)
最近在复现图像融合Densefuse时,出现报错: ValueError: cannot reshape array of size 97200 into shape (256,256,1) 在网上查 ...
ValueError: cannot reshape array of size xxx into shape (xxx,xxx,xxx)解决方法
A = A.reshape(x1,x2,x3,-..,xn); 假设A的原始shape为(y1,y2,--,yn); 这里要求满足:x1*x2******xn = y1*y2******yn; 更多精 ...
YunYang1994/tensorflow-yolov3 ValueError: cannot reshape array of size 43095 into shape (6) 解决办法
参考文章:YunYang1994/tensorflow-yolov3 训练自己的数据集
成功解决np.array(zip(x1, x2)).reshape(len(x1), 2) ValueError: cannot reshape array of size 1 int
成功解决np.array(zip(x1, x2)).reshape(len(x1), 2) ValueError: cannot reshape array of size 1 int 目录解决问题 ...
python——shape 与reshape
转载自:https://blog.csdn.net/u010916338/article/details/84066369 shape()和reshape()都是数组array中的方法 numpy中r ...
Numpy中reshape的用法
目录 numpy中reshape函数的三种常见相关用法 reshape(n,-1),将数组转换成 n 行: reshape(-1,n),将数组转换成 n 列: numpy中reshape函数的三种常见 ...
Numpy中reshape函数、reshape(1,-1)的含义(浅显易懂，源码实例)
本文详细介绍numpy中reshape函数的三种常见相关用法. 一般用法:numpy.arange(n).reshape(a, b); 依次生成n个自然数,并且以a行b列的数组形式显示: In [1] ...
python numpy 二维数组reshape成三维数组
如下: >>> a = np.arange(20) >>> a.reshape((4,5)) array([[ 0, 1, 2, 3, 4],[ 5, 6, 7, ...

cannot reshape array of size 5011 into shape (2)

cannot reshape array of size 5011 into shape (2)相关推荐

最新文章

热门文章