简体   繁体   English

列表到嵌套列表和字典

[英]List to nested list and dictionary

I have this one long list and want to convert it to a nested list and a dictionary.我有一个长列表,想将其转换为嵌套列表和字典。

L= ["a","abc","de","efg","", "b","ijk","lm","op","qr","", "c","123","45","6789"]          

output: output:

nested list:
[["a","abc","de","efg"], ["b","ijk","lm","op","qr"], ["c","123","45","6789"]] 

dictionary: 
{"a":["abc","de","efg"],
"b":["ijk","lm","op","qr"], "c":["123","45","6789] } 

Can anyone tell me how to do that in python ?谁能告诉我如何在python中做到这一点? And I can't import anything我无法导入任何东西

I assume the groups are separated by the empty strings.我假设这些组由空字符串分隔。 For this you can use itertools.groupby :为此,您可以使用itertools.groupby

from itertools import groupby

data = ["a","abc","de","efg","", "b","ijk","lm","op","qr","", "c","123","45","6789"] 

nl = [list(g) for k, g in groupby(data, ''.__ne__) if k]
d = {next(g): list(g) for k, g in groupby(data, ''.__ne__) if k}

print(nl)
print(d)

Results:结果:

[['a', 'abc', 'de', 'efg'], ['b', 'ijk', 'lm', 'op', 'qr'], ['c', '123', '45', '6789']]
{'a': ['abc', 'de', 'efg'], 'b': ['ijk', 'lm', 'op', 'qr'], 'c': ['123', '45', '6789']}

In the groupby I'm using ''.__ne__ which is the function for "not equal" of an empty string.在 groupby 中,我使用''.__ne__这是 function 表示空字符串的“不等于”。 This way it's only capturing groups of non-empty strings.这样它只捕获非空字符串组。

EDIT编辑

I just read that you cannot import.我刚读到你不能导入。 Here's a solution just using a loop:这是一个仅使用循环的解决方案:

nl = [[]]

for s in data:
    if s:
        nl[-1].append(s)
    else:
        nl.append([])

And for the dict:对于字典:

itr = iter(data)
key = next(itr)
d = {key: []}

while True:
    try: val = next(itr)
    except StopIteration: break
    if val:
        d[key].append(val)
    else:
        key = next(itr)
        d[key] = []

Here's how to convert L to a nested list:以下是将 L 转换为嵌套列表的方法:

L= ["a","abc","de","efg","","b","ijk","lm","op","qr","","c","123","45","6789"] 

nested_list_L = []

temp = []
for item in L:
    if item != "":
        temp.append(item)
    else:
        nested_list_L.append(temp)
        temp = []
        
nested_list_L.append(temp)

And here's how to convert L to a dictionary:以下是将 L 转换为字典的方法:

L= ["a","abc","de","efg","","b","ijk","lm","op","qr","","c","123","45","6789"] 

dict_L = {}

temp = []
key = ""
for item in L:
    if len(item) == 1:
        key = item
    elif len(item) > 1:
        temp.append(item)
    else:
        dict_L[key] = temp
        temp = []
        key = ""
        
dict_L[key] = temp

From my understanding, you are trying to:据我了解,您正在尝试:

  1. Split a list by empty string, then按空字符串拆分列表,然后
  2. Convert the resulting nested list into a dictionary, using first element of each sub-list as the key and the rest as value.将生成的嵌套列表转换为字典,使用每个子列表的第一个元素作为键,使用 rest 作为值。

You can certainly accomplish the task without any imports.您当然可以在没有任何导入的情况下完成任务。 To split a list, just iterate over it and build the nested list along the way:要拆分列表,只需遍历它并沿途构建嵌套列表:

def split(data, on):
    nested = []
    curr = []
    for x in data:
        if x == on:
            nested.append(curr)
            curr = []
        else:
            curr.append(x)
    if curr != [] or data[-1:] == [on]:
        nested.append(curr)
    return nested

Then, again, iterate over this nested list to build your desired dictionary:然后,再次遍历此嵌套列表以构建所需的字典:

def build_dict(key_valss):
    d = {}
    for key_vals in key_valss:
        if key_vals != []:
            key = key_vals[0]
            vals = key_vals[1:]
            d[key] = vals
    return d

Compose the two functions to get what you want:组合这两个函数来得到你想要的:

>>> build_dict( split(data = ["a","abc","de","efg","", "b","ijk","lm","op","qr","", "c","123","45","6789"] , on = '') )
{'a': ['abc', 'de', 'efg'], 'b': ['ijk', 'lm', 'op', 'qr'], 'c': ['123', '45', '6789']}

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.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM