我有一个形状为 (103, 37, 13) 的 3d numpy 数组(数据)。我想通过在每个轴的两个方向上几乎相等地填充零来将此 numpy 数组的大小调整为 (250,250,13)。
下面的代码适用于 2d 数组,但我无法使其适用于 3d 数组。
>>> a = np.arange(6)
>>> a = a.reshape((2, 3))
>>> np.lib.pad(a, [(2,3),(1,1)], 'constant', constant_values=[(0, 0),(0,0)])
array([[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 1, 2, 0],
[0, 3, 4, 5, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0]])
>>> zerpads =np.zeros(13)
>>> data1=np.lib.pad(data,[(73,74),(106,107)],'constant',constant_values=[(zerpads, zerpads),(zerpads,zerpads)])
Traceback (most recent call last):
File "<stdin>", line …Run Code Online (Sandbox Code Playgroud) #include <stdio.h>
#include <stdint.h>
typedef unsigned char uint8_t;
typedef short int16_t;
typedef unsigned short uint16_t;
typedef int int32_t;
typedef unsigned int uint32_t;
int main(){
uint8_t ball;
uint8_t fool;
ball=((unsigned char)13);
fool=((unsigned char)14);
uint16_t combined_value1=((uint16_t)ball)<<12+((uint16_t)fool)<<8; // WRONG ONE
uint16_t combined_value2=((uint16_t)ball<<12)+((uint16_t)fool<<8);
printf("%hu\n",(uint16_t)combined_value1);
printf("%hu\n",(uint16_t)combined_value2);
return 0;
}
Run Code Online (Sandbox Code Playgroud)
为什么"combined_value1"的值错了?这里球和傻瓜从0到15取值,我试图将combined_value连接为{ball [4 bits]:傻瓜[4位]:[8个零位]}.