Python – Filter immutable rows representing Dictionary Keys from Matrix

Given Matrix, extract all the rows which has elements which have all elements which can be represented as dictionary key, i.e immutable.

Input : test_list = [[4, 5, [2, 3, 2]], [“gfg”, 1, (4, 4)], [{5:4}, 3, “good”], [True, “best”]] 
Output : [[‘gfg’, 1, (4, 4)], [True, ‘best’]] 
Explanation : All elements in tuples are immutable.

Input : test_list = [[4, 5, [2, 3, 2]], [“gfg”, 1, (4, 4), [3, 2]], [{5:4}, 3, “good”], [True, “best”]] 
Output : [[True, ‘best’]] 
Explanation : All elements in tuples are immutable. 

Method #1 : Using all() + isinstance()

In this, we check for all elements to be of the instance of immutable data types, rows that return True for all elements, is filtered.

Python3

# Python3 code to demonstrate working of
# Filter Dictionary Key Possible Element rows
# Using all() + isinstance()

# initializing list
test_list = [[4, 5, [2, 3, 2]], ["gfg", 1, (4, 4)], [{5: 4}, 3, "good"], [
    True, "best"]]

# printing original list
print("The original list is : " + str(test_list))

# checking for each immutable data type
res = [row for row in test_list if all(isinstance(ele, int) or isinstance(ele, bool)
                                       or isinstance(ele, float) or isinstance(ele, tuple)
                                       or isinstance(ele, str) for ele in row)]

# printing result
print("Filtered rows : " + str(res))

Output:

The original list is : [[4, 5, [2, 3, 2]], [‘gfg’, 1, (4, 4)], [{5: 4}, 3, ‘good’], [True, ‘best’]]
Filtered rows : [[‘gfg’, 1, (4, 4)], [True, ‘best’]]

Method #2 : Using filter() + lambda + isinstance() + all()

In this, we perform task of filtering using filter() + lambda function, rest all functionalities are performed as above method.

Python3

# Python3 code to demonstrate working of
# Filter Dictionary Key Possible Element rows
# Using filter() + lambda + isinstance() + all()

# initializing list
test_list = [[4, 5, [2, 3, 2]], ["gfg", 1, (4, 4)], [{5: 4}, 3, "good"], [
    True, "best"]]

# printing original list
print("The original list is : " + str(test_list))

# checking for each immutable data type
# filtering using filter()
res = list(filter(lambda row: all(isinstance(ele, int) or isinstance(ele, bool)
                                  or isinstance(ele, float) or isinstance(ele, tuple)
                                  or isinstance(ele, str) for ele in row), test_list))

# printing result
print("Filtered rows : " + str(res))

Output:

The original list is : [[4, 5, [2, 3, 2]], [‘gfg’, 1, (4, 4)], [{5: 4}, 3, ‘good’], [True, ‘best’]]
Filtered rows : [[‘gfg’, 1, (4, 4)], [True, ‘best’]]