NumPyの基本：配列の形状

[Take1] 配列の形状オプション

【書式】

【コード】

import numpy as np

 

# 乱数の固定

np.random.seed(0)

 

# 元配列作成

arr0=np.random.randint(1,10,(2))

arr1=np.random.randint(1,10,(2,3))

arr2=np.random.randint(1,10,(2,3,4))

arr3=np.random.randint(1,10,(2,3,4,5))

print("形状(2)\n",arr0,"\n")

print("形状(2,3)\n",arr1,"\n")

print("形状(2,3,4)\n",arr2,"\n")

print("形状(2,3,4,5)\n",arr3,"\n")

【結果】

形状(2)

[6 1]

 

形状(2,3)

[[4 4 8]

[4 6 3]]

 

形状(2,3,4)

[[[5 8 7 9]

[9 2 7 8]

[8 9 2 6]]

 

[[9 5 4 1]

[4 6 1 3]

[4 9 2 4]]]

 

形状(2,3,4,5)

[[[[4 4 8 1 2]

[1 5 8 4 3]

[8 3 1 1 5]

[6 6 7 9 5]]

 

[[2 5 9 2 2]

[8 4 7 8 3]

[1 4 6 5 5]

[7 5 5 4 5]]

 

[[5 9 5 4 8]

[6 6 1 2 6]

[4 1 6 1 2]

[3 5 3 1 4]]]

 

 

[[[3 1 8 6 1]

[3 8 3 3 4]

[4 3 4 5 2]

[3 2 5 7 9]]

 

[[3 4 1 1 7]

[1 7 4 4 9]

[9 9 3 4 3]

[1 9 9 4 9]]

 

[[3 9 5 4 1]

[5 4 7 9 1]

[9 6 1 7 6]

[4 2 9 1 5]]]]