data = [[1,2,3],[4],[5,6,7],[8,9],[10]]  # 模擬數(shù)據(jù)  
  
data  

for i in data:  
    print(type(i))  

<class 'list'>  
<class 'list'>  
<class 'list'>  
<class 'list'>  
<class 'list'>  

# 導(dǎo)入Iterable 模塊  
from collections import Iterable   
  
sum_data = []  
  
for i in data:  
    if isinstance(i,Iterable):  # 如果可迭代（比如列表形式）  
        for j in i:  # 再次循環(huán)追加元素  
            sum_data.append(j)    
    else:  
        sum_data.append(i)  # 否則直接追加  
          
sum_data  

sum_data = [i for j in data  if isinstance(j,Iterable) for i in j]  # 循環(huán)一定是從大到小  
  
sum_data  

import itertools  
  
# 通過(guò)chain方法從可迭代對(duì)象中生成；最后展開(kāi)成列表  
  
sum_data = list(itertools.chain.from_iterable(data))  
sum_data  

sum_data = sum(data, [])  
sum_data  

sum_data = []  
  
for i in data:  
    sum_data += i  # 實(shí)現(xiàn)自加  
      
sum_data  

# 如何理解python的extend函數(shù)  
  
list1 = [1,2,3,4]  
list1.extend([5,6])  # 追加功能extend；就地修改  
  
list1  # list1已經(jīng)發(fā)生了變化  

sum_data = []   
  
for i in data:  
    sum_data.extend(i)   # 對(duì)空列表逐步追加  
      
sum_data  

data  

def flatten(data):  # 定義遞歸函數(shù)  
    sum_data = []  
    for i in data:  
        if isinstance(i, Iterable):  # 如果i是可迭代的對(duì)象（列表等），調(diào)用函數(shù)本身；直到執(zhí)行else語(yǔ)句  
            sum_data.extend(flatten(i))  
        else:  
            sum_data.append(i)  
      
    return sum_data  

sum_data = flatten(data)  # 調(diào)用遞歸函數(shù)  
sum_data