Given Matrix, extract rows with complex data types.
Examples:
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.
Method #1: Using list comprehension + isinstance() + any()
In this, we check for each element of row to be of dictionary, tuple, set or list datatype using isinstance(), if any element is found to have that instance, the row is added in result.
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)) |
Output:
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]]
Method #2 : Using filter() + lambda + isinstance()
In this, we perform task of filtering using filter and lambda, checking for data type is done using isinstance().
Python3
# 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)) |
Output:
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]]
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.
