[英]How to transform python string into array
a python string:一个 python 字符串:
'[[4,2],[8,5]]'
for example, where you have a fairly complex multidimensional array of information, maybe is extracted from a file or user input and is naturally a string.例如,如果您有一个相当复杂的多维信息数组,可能是从文件或用户输入中提取的,并且自然是一个字符串。 How should I go about turning this into an actual array.
我应该如何 go 把它变成一个实际的数组。 I want a general implementation so that I can perform this to any multidimensional and complex array.
我想要一个通用的实现,以便我可以对任何多维和复杂的数组执行此操作。 This is for a machine learning project, and any of these arrays can be represented with a shape (eg
(3,2,5)
) and a list of its corresponding values (eg [1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0]
) such that is may look like:这是一个机器学习项目,这些 arrays 中的任何一个都可以用一个形状(例如
(3,2,5)
)及其对应值的列表(例如[1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0]
)这样可能看起来像:
[[[1,2,3,4,5],
[6,7,8,9,0]],
[[1,2,3,4,5],
[6,7,8,9,0]],
[[1,2,3,4,5],
[6,7,8,9,0]]]
try this:尝试这个:
def flatten_list(_2d_list):
flat_list = []
for element in _2d_list:
if type(element) is list:
for item in element:
flat_list.append(item)
else:
flat_list.append(element)
return flat_list
nested_list = [[4,2],[8,5]]
print(nested_list)
print(flatten_list(nested_list))
import numpy as np
list = [1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0,1,2,3,4,5,6,7,8,9,0]
array = np.array(list)
array = np.reshape(array, (3,2,5))
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.