Python模块NumPy中的tile(A，rep) 函数-白红宇

Python模块NumPy中的tile(A，rep) 函数

阅读量：6168 次

发布时间：2019-06-21

本文共 5110 字，大约阅读时间需要 17 分钟。

from NumPy import *

函数形式： tile(A，rep)

功能：重复A的各个维度

参数类型：

- A: Array类的都可以

- rep：A沿着各个维度重复的次数

这个英文单词的本意是：贴瓷砖，还挺形象的。

举例：

tile([17,29],2)，如果rep参数是一个整数，则表示重复A中的元素rep次，即行数（即维度）只有1维，所以2的意思是在“列”这个维度上重复2次

输出[17,29,17,29]

tile([29,17],(3,5))

此时的(3,5)和[3,5]是相同的效果。

结果是3组，每组重复5次，也可以理解为二维表，3行，5列。先分3组（重复3次），每组重复5次。

array([[29, 17, 29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17, 29, 17]])

tile([29,17],[3,5,7])

结果是3组，每组一个二维表，每个二维表5行，7列，可以理解为三维表

array([[[29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17, 29, 17]]])

tile([29,17],[3,5,7,4])

结果是4组，怎样理解？我也不知道，这已经超过了人类空间的认知。

依次分组，先分3组重复，然后分5组重复，然后分7组，最后重复4次。

如果5维会怎样？也是继续按组重复下去。先分5组，用中括号分隔。

array([[[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]]],

[[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]]],

[[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]],

[[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17],

[29, 17, 29, 17, 29, 17, 29, 17]]]])

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