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When it is required to test if a tuple has distinct elements in it, the 'set' method and the 'len' method can be used.Python comes with a datatype known as 'set'. This 'set' contains elements that are unique only.The 'len' method gives the length of the parameter passed to it.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (11, 14, 54, 0, 58, 41) print("The tuple is : ") print(my_tuple_1) my_result = len(set(my_tuple_1)) == len(my_tuple_1) print("Is the tuple distinct ? ") print(my_result)OutputThe tuple is : (11, 14, 54, 0, 58, 41) Is the tuple distinct ? ... Read More
When it is required to filter tuples based on the list element that is present, list comprehension 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).A list of tuple basically contains tuples enclosed in a list. 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_list = [(11, 14), (54, 56, 87), (98, 0, 10), (13, 76)] target_list = [34, 11] print("The list is : ") print(my_list) my_result ... Read More
When it is required to sum the elements present in a list of tuple, the 'map' method and the 'sum' 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).A list of tuple basically contains tuples enclosed in a list.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 'sum' method can be used to add the elements in an iterable.Below is a demonstration of the same −ExampleLive Demomy_list = ... Read More
When it is required to flatten a list of tuples into a string format, the 'str' method and the 'strip' 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).A list of tuples basically contains tuples enclosed in a list. The 'strip' method will remove the specific character/value. The 'str' method will convert the given data type into a string data type.Below is a demonstration of the same −ExampleLive Demomy_list = [(11, 14), (54, 56), (98, 0), (13, 76)] print("The list is : ... Read More
When it is required to concatenate tuples to nested tuples, the '+' operator 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 '+' operator is used for addition or concatenation operation.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = ( 7, 8, 3, 4, 3, 2), my_tuple_2 = (9, 6, 8, 2, 1, 4), print ("The first tuple is : " ) print(my_tuple_1) ... Read More
When it is required to convert a tuple to a float value, the 'join' method, 'float' method, 'str' method and generator expression can be used.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.The 'float' method converts a given element to float data type.The 'str' method converts the given element into string data type.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = ( 7, 8) print ("The first ... Read More
When it is required to find dissimilar elements in tuples, the 'set' operator and the '^' operator can be used.Python comes with a datatype known as 'set'. This 'set' contains elements that are unique only.The set is useful in performing operations such as intersection, difference, union and symmetric difference.The '^' operator is a bitwise operator that performs the 'XOR' operation. It sets every bit to 1 if only one of the two bits is 1.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = ((7, 8), (3, 4), (3, 2)) my_tuple_2 = ((9, 6), (8, 2), (1, 4)) print ... Read More
When it is required to convert a tuple to an adjacency pair dictionary, the 'dict' method, the dictionary comprehension, and slicing can be used.A dictionary stores values in the form of a (key, value) pair. The dictionary comprehension is a shorthand to iterate through the dictionary and perform operations on it.Slicing will give the values present in an iterable from a given lower index value to a given higher index value, but excludes the element at the higher index value.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (7, 8, 3, 4, 3, 2) print ("The first tuple ... Read More
When it is required to count the elements up to the first tuple, a simple loop, the 'isinstance' method, and the 'enumerate' method can be used.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (7, 8, 11, 0 ,(3, 4, 3), (2, 22)) print ("The tuple is : " ) print(my_tuple_1) for count, elem in enumerate(my_tuple_1): if isinstance(elem, tuple): break print("The number of elements up to the first tuple are : ") print(count)OutputThe tuple is : (7, 8, 11, 0, (3, 4, 3), (2, 22)) The number of elements up to the first ... Read More
When it is required to check for 'None' value in a tuple, the 'all' method and the generator expression can be used.The 'all' method checks to see if all the values inside an iterable are True values. If yes, it returns True, else returns False.Below is a demonstration of the same −ExampleLive Demomy_tuple_1 = (None, None, None, None, None, None, None ) print ("The tuple is : " ) print(my_tuple_1) my_result = all(elem is None for elem in my_tuple_1) print("Does the tuple contain only None values ? ") print(my_result)OutputThe tuple is : (None, None, None, None, None, ... Read More