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When it is required to check if a variable is a tuple, the 'type' method can be used. A tuple is an immutable data type. It means, values once defined can't be changed by accessing their index elements. If we try to change the elements, it results in an error. They are important contains since they ensure read-only access.The 'type' method checks to see the type of the iterable/value that is passed to it as an argument.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (7, 8, 0, 3, 45, 3, 2, 22, 4) print ("The tuple is ... Read More
When it is required to convert a string into a tuple, the 'map' method, the 'tuple' method, the 'int' method, and the 'split' method can be used.The map function applies a given function/operation to every item in an iterable (such as list, tuple). It returns a list as the result.The 'int' method converts the given data type to an integer type, if that operation is permitted.The split method splits the given data into different sections based on a delimiter or a default delimiter. The 'tuple' method converts the given data type into a tuple type.Below is a demonstration of the ... Read More
When it is required to add a dictionary to a tuple, the 'list' method, the 'append', and the 'tuple' method can be used.A list can be used to store heterogeneous values (i.e data of any data type like integer, floating point, strings, and so on).The 'append' method adds elements to the end of the list.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (7, 8, 0, 3, 45, 3, 2, 22, 4) print ("The tuple is : " ) print(my_tuple_1) my_dict = {"Hey" : 11, "there" : 31, "Jane" : 23} print("The dictionary is : ") ... Read More
When it is required to chunk the tuples to 'N' values, list comprehension is used.The list comprehension is a shorthand to iterate through the list and perform operations on it.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (87, 90, 31, 85, 34, 56, 12, 5) print("The first tuple is :") print(my_tuple_1) N = 2 print("The value of 'N' has been initialized") my_result = [my_tuple_1[i : i + N] for i in range(0, len(my_tuple_1), N)] print("The tuple after chunking is : ") print(my_result)OutputThe first tuple is : (87, 90, 31, 85, 34, 56, 12, 5) The ... Read More
When it is required to access the front and rear elements of a Python tuple, the access brackets can be used.A tuple is an immutable data type. It means, values once defined can't be changed by accessing their index elements. If we try to change the elements, it results in an error. They are important contains since they ensure read-only access.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (87, 90, 31, 85, 34, 56, 12, 5) print("The first tuple is :") print(my_tuple_1) my_result = (my_tuple_1[0], my_tuple_1[-1]) print("The front and rear elements of the tuple are ... Read More
When it is required to check if one tuple is a subset of the other, the 'issubset' method is used.The 'issubset' method returns True if all the elements of the set are present in another set, wherein the other set would be passed as an argument to the method.Otherwise, this method returns False.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (87, 90, 31, 85) my_tuple_2 = (34, 56, 12, 5) print("The first tuple is :") print(my_tuple_1) print("The second tuple is :") print(my_tuple_2) my_result = set(my_tuple_2).issubset(my_tuple_1) print("Is the second tuple a subset of the first tuple ... Read More
When it is required to perform tuple multiplication, the 'zip' method and the generator expression can be used.The zip method takes iterables, aggregates them into a tuple, and returns it as the result.Generator is a simple way of creating iterators. It automatically implements a class with '__iter__()' and '__next__()' methods and keeps track of the internal states, as well as raises 'StopIteration' exception when no values are present that could be returned.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (23, 45, 12, 56, 78) my_tuple_2 = (89, 41, 76, 0, 11) print("The first tuple is : ") ... Read More
When it is required to check if an element is present in the tuple or not, a simple loop can be used. A tuple is an immutable data type. It means, values once defined can't be changed by accessing their index elements. If we try to change the elements, it results in an error. They are important contains since they ensure read-only access.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (23, 45, 12, 56, 78, 0) print("The first tuple is : ") print(my_tuple_1) N = 12 print("The value of 'N' has been initialized") my_result = False ... Read More
When it is required to create 'N' element incremental tuples, generator expression and 'tuple' method can be used.Below is a demonstration of the same −ExampleLive DemoN = 3 print("The value of 'N' has been initialized") print("The number of times it has to be repeated is : ") print(N) my_result = tuple((elem, ) * N for elem in range(1, 6)) print("The tuple sequence is : ") print(my_result)OutputThe value of 'N' has been initialized The number of times it has to be repeated is : 3 The tuple sequence is : ((1, 1, 1), (2, 2, 2), (3, 3, 3), (4, ... Read More
When it is required to create a tuple from a string and a list, the tuple method can be used.A list can be used to store heterogeneous values (i.e data of any data type like integer, floating point, strings, and so on).Below is a demonstration of the same −ExampleLive Demomy_list_1 = ['Hey', 'there', 'How', 'are', 'you'] my_list_2 = 'Jane' print("The first list is :") print(my_list_1) print("The string is :") print(my_list_2) my_result = tuple(my_list_1 + [my_list_2]) print("The aggregated tuple is : ") print(my_result)OutputThe first list is : ['Hey', 'there', 'How', 'are', 'you'] The string list is : Jane ... Read More