用转换重复数组

时间:2018-12-20 17:04:15

标签: python arrays list numpy

如何重复以下示例序列:

l = np.array([3,4,5,6,7])

最多n次,每次重复的值加倍。因此,对于n=3

[3, 4, 5, 6, 7, 6,  8, 10, 12, 14, 12, 16, 20, 24, 28]

也许有一种简单的方法来避免与numpy产生循环吗?

7 个答案:

答案 0 :(得分:10)

numpy.outer + numpy.ndarray.ravel

>>> a = np.array([3,4,5,6,7])                                                                                          
>>> n = 3                                                                                                              
>>> factors = 2**np.arange(n)                                                                                          
>>> np.outer(factors, a).ravel()                                                                                       
array([ 3,  4,  5,  6,  7,  6,  8, 10, 12, 14, 12, 16, 20, 24, 28])

详细信息:

>>> factors                                                                                                            
array([1, 2, 4])
>>> np.outer(factors, a)                                                                                               
array([[ 3,  4,  5,  6,  7], # 1*a
       [ 6,  8, 10, 12, 14], # 2*a
       [12, 16, 20, 24, 28]]) # 4*a

答案 1 :(得分:2)

您可以使用2的幂作为乘法因子来使用级联和列表理解。这里的<!DOCTYPE html> <html> <body> <p id="id-of-element">This text will be replaced</p> </body> </html>是您需要的重复次数。

3

答案 2 :(得分:1)

这是一种方法:

l = np.array([3,4,5,6,7])
final = np.concatenate([l*2**(i) for i in range(3)])
print (final)

array([ 3,  4,  5,  6,  7,  6,  8, 10, 12, 14, 12, 16, 20, 24, 28])

(仅在需要输入倍数的情况下有效。)

答案 3 :(得分:1)

您可以这样做:

import numpy as np

l = np.array([3, 4, 5, 6, 7])

rows = np.tile(l, 3).reshape(-1, len(l)) * np.power(2, np.arange(3)).reshape(-1, 1)
print(rows.flatten())

输出

[ 3  4  5  6  7  6  8 10 12 14 12 16 20 24 28]

答案 4 :(得分:1)

您可以将fixnp.power结合使用:

A = np.array([3,4,5,6,7])

res = (A * np.power(2, np.arange(3))[:, None]).ravel()

print(res)

array([ 3,  4,  5,  6,  7,  6,  8, 10, 12, 14, 12, 16, 20, 24, 28])

答案 5 :(得分:0)

您可以遍历n,并每次连接一个新列表:

l = [3,4,5,6,7]
n = 3
new_l = []
for i in range(n):
    new_l += [j*2**i for j in l]
new_l = np.array(new_l)

输出

array([3, 4, 5, 6, 7, 6, 8, 10, 12, 14, 12, 16, 20, 24, 28])

答案 6 :(得分:0)

您可以使用列表推导在纯python中做到这一点:

l = [3,4,5,6,7]

n     = 3
mult  = [1 * 2**i for i in range(n)]
final = list([x*m for m in mult for x in l])