I have a tuple containing lists and more tuples. I need to convert it to nested lists with the same structure. For example, I want to convert (1,2,[3,(4,5)])
to [1,2,[3,[4,5]]]
.
我有一个包含列表和更多元组的元组。我需要将它转换为具有相同结构的嵌套列表。例如,我想将(1,2,[3,(4,5)])转换为[1,2,[3,[4,5]]]。
How do I do this (in Python)?
我该怎么做(在Python中)?
4 个解决方案
#1
def listit(t):
return list(map(listit, t)) if isinstance(t, (list, tuple)) else t
The shortest solution I can imagine.
我能想象的最短的解决方案。
#2
As a python newbie I would try this
作为一个python新手,我会尝试这个
def f(t):
if type(t) == list or type(t) == tuple:
return [f(i) for i in t]
return t
t = (1,2,[3,(4,5)])
f(t)
>>> [1, 2, [3, [4, 5]]]
Or, if you like one liners:
或者,如果您喜欢一个衬垫:
def f(t):
return [f(i) for i in t] if isinstance(t, (list, tuple)) else t
#3
We can (ab)use the fact that json.loads
always produces Python lists for JSON lists, while json.dumps
turns any Python collection into a JSON list:
我们可以(ab)使用json.loads总是为JSON列表生成Python列表的事实,而json.dumps将任何Python集合转换为JSON列表:
import json
def nested_list(nested_collection):
return json.loads(json.dumps(nested_collection))
#4
This is what I had come up with, but I like the other's better.
这就是我想出来的,但我更喜欢对方。
def deep_list(x):
"""fully copies trees of tuples or lists to a tree of lists.
deep_list( (1,2,(3,4)) ) returns [1,2,[3,4]]
deep_list( (1,2,[3,(4,5)]) ) returns [1,2,[3,[4,5]]]"""
if not ( type(x) == type( () ) or type(x) == type( [] ) ):
return x
return map(deep_list,x)
I see aztek's answer can be shortened to:
我看到aztek的答案可以缩短为:
def deep_list(x):
return map(deep_list, x) if isinstance(x, (list, tuple)) else x
Update: But now I see from DasIch's comment that this wouldn't work in Python 3.x since map() there returns a generator.
更新:但现在我从DasIch的评论中看到,这在Python 3.x中不起作用,因为map()会返回一个生成器。
#1
def listit(t):
return list(map(listit, t)) if isinstance(t, (list, tuple)) else t
The shortest solution I can imagine.
我能想象的最短的解决方案。
#2
As a python newbie I would try this
作为一个python新手,我会尝试这个
def f(t):
if type(t) == list or type(t) == tuple:
return [f(i) for i in t]
return t
t = (1,2,[3,(4,5)])
f(t)
>>> [1, 2, [3, [4, 5]]]
Or, if you like one liners:
或者,如果您喜欢一个衬垫:
def f(t):
return [f(i) for i in t] if isinstance(t, (list, tuple)) else t
#3
We can (ab)use the fact that json.loads
always produces Python lists for JSON lists, while json.dumps
turns any Python collection into a JSON list:
我们可以(ab)使用json.loads总是为JSON列表生成Python列表的事实,而json.dumps将任何Python集合转换为JSON列表:
import json
def nested_list(nested_collection):
return json.loads(json.dumps(nested_collection))
#4
This is what I had come up with, but I like the other's better.
这就是我想出来的,但我更喜欢对方。
def deep_list(x):
"""fully copies trees of tuples or lists to a tree of lists.
deep_list( (1,2,(3,4)) ) returns [1,2,[3,4]]
deep_list( (1,2,[3,(4,5)]) ) returns [1,2,[3,[4,5]]]"""
if not ( type(x) == type( () ) or type(x) == type( [] ) ):
return x
return map(deep_list,x)
I see aztek's answer can be shortened to:
我看到aztek的答案可以缩短为:
def deep_list(x):
return map(deep_list, x) if isinstance(x, (list, tuple)) else x
Update: But now I see from DasIch's comment that this wouldn't work in Python 3.x since map() there returns a generator.
更新:但现在我从DasIch的评论中看到,这在Python 3.x中不起作用,因为map()会返回一个生成器。