numpy 将一组数据组成(5,8)形状的二维数组
时间: 2023-04-05 12:00:40 浏览: 77
Python reshape的用法及多个二维数组合并为三维数组的实例
可以使用numpy.reshape()函数将一组数据组成(5,8)形状的二维数组,示例代码如下:
import numpy as np
data = np.array([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80])
data = data.reshape(5,8)
print(data)
输出结果为:
[[ 1 2 3 4 5 6 7 8]
[ 9 10 11 12 13 14 15 16]
[17 18 19 20 21 22 23 24]
[25 26 27 28 29 30 31 32]
[33 34 35 36 37 38 39 40]]
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