Python - 提取具有复杂数据类型的行

给定 Matrix，提取具有复杂数据类型的行。

例子：

Input : test_list = [[4, 2, 5], [1, [3, 4], 9], [5], [7, (2, 3), 3, 9]] 
Output : [[1, [3, 4], 9], [7, (2, 3), 3, 9]] 
Explanation : Rows have lists and tuples respectively.
 

Input : test_list = [[4, 2, [5]], [1, [3, 4], 9], [5], [7, (2, 3), 3, 9]] 
Output : [[4, 2, [5]], [1, [3, 4], 9], [7, (2, 3), 3, 9]] 
Explanation : Rows have lists and tuples respectively. 

方法 #1：使用列表推导+ isinstance() + any()

在此，我们使用 isinstance() 检查行的每个元素是否属于字典、元组、集合或列表数据类型，如果发现任何元素具有该实例，则将该行添加到结果中。

Python3

# Python3 code to demonstrate working of
# Extract rows with Complex data types
# Using list comprehension + isinstance() + any()
  
# initializing list
test_list = [[4, 2, 5], [1, [3, 4], 9], [5], [7, (2, 3), 3, 9]]
  
# printing original list
print("The original list is : " + str(test_list))
  
# checking for any of list, set, tuple or
# dictionary as complex structures
res = [row for row in test_list if any(isinstance(ele, list) or isinstance(ele, tuple)
                                       or isinstance(ele, dict) or isinstance(ele, set) for ele in row)]
  
# printing result
print("Filtered Rows : " + str(res))

输出：

The original list is : [[4, 2, 5], [1, [3, 4], 9], [5], [7, (2, 3), 3, 9]]
Filtered Rows : [[1, [3, 4], 9], [7, (2, 3), 3, 9]]

方法 #2：使用filter() + lambda + isinstance()

在这里，我们使用 filter 和 lambda 执行过滤任务，使用 isinstance() 检查数据类型。

蟒蛇3

# Python3 code to demonstrate working of
# Extract rows with Complex data types
# Using filter() + lambda + isinstance()
  
# initializing list
test_list = [[4, 2, 5], [1, [3, 4], 9], [5], [7, (2, 3), 3, 9]]
  
# printing original list
print("The original list is : " + str(test_list))
  
# checking for any of list, set, tuple or dictionary as complex structures
res = list(filter(lambda row: any(isinstance(ele, list) or isinstance(ele, tuple)
                                  or isinstance(ele, dict) or isinstance(ele, set) for ele in row), test_list))
  
# printing result
print("Filtered Rows : " + str(res))

输出：

The original list is : [[4, 2, 5], [1, [3, 4], 9], [5], [7, (2, 3), 3, 9]]
Filtered Rows : [[1, [3, 4], 9], [7, (2, 3), 3, 9]]