Python programming -Tuple and Set Data type

Python Programming-Part8
Megha V
Research Scholar
Dept of IT
Kannur University

Tuples
• Sequence data type
• Tuples are enclosed in parentheses ()
• The values can not be updated
• Tuples can be considered as read-only lists

Tuples
• Example:
first_tuple = (‘abcd’,147,2.43,’Tom’,74.9)
small_tuple = (111,’Tom’)
print(first_tuple) #Prints complete tuple
print(first_tuple[0]) #Prints first element of the tuple
print(first_tuple[1:3]) #Prints elements starting from 2nd till 3rd
print(first_tuple[2:]) # Prints elements starting from 3rd element
print(small_tuple*2) # Prints tuples 2 times
print(first_tuple+small_tuple) # Prints concatenated tuple
Output
(‘abcd’,147,2.43,’Tom’,74.9)
abcd
(147,2.43)
(2.43,’Tom’,74.9)
(111,’Tom’,111,’Tom’)
(‘abcd’,147,2.43,’Tom’,74.9(111,’Tom’)

Deleting Tuple
• To delete an entire tuple we can use the del statement
• Example: It is not possible to remove individual items from a tuple
• It is possible to create tuples which contain mutable objects, such as lists
Example:
tuple1=([1,2,3],[‘apple’,’pear’,’orange’])
print(tuple1)
del tuple1
Output
t=([1,2,3],[‘apple’,’pear’,’orange’])

Tuples
• It is possible to pack values to a tuple and unpack values from a tuple
• We can create tuples without parenthesis
• The reverse operation is called sequence unpacking
• Sequence unpacking requires that there are as many variable on the
left side of the equal sign as there are elements in the sequence.

Tuples
Example:
t= “apple”,1,100
print(t)
x,y,z=t
print(x)
print(x)
print(x)
Output
(‘apple’,1,100)
apple
1
100

Built-in Tuple functions
1. len(tuple)- Gives the total lenghth of the tuple
tuple1=(‘abcd’,147,2.43,’Tom’)
print(len(tuple)) #4
2. max(tuple)- Returns item from the tuple with maximum value
tuple1=(1200,147,2.43,1.12)
print(“Maximum value in tuple1 is:”,max(tuple1))
Output
Maximum value in tuple1 is 1200
3. min(tuple) – Returns item from tuple with minimum value
print(“Minimum value in tuple1 is:”,min(tuple1))
Output
Minimum value in tuple1 is 1.12

Built-in Tuple functions
4. tuple(seq) – Returns a converted tuple from list
list=[‘abcd’,147,2.43,’Tom’]
print(“Tuple:”,tuple(list))
Output
Tuple:(‘abcd’,147,2.43,’Tom’)

Set
• Unordered collection of unique items
• Set is defined by values separated by comma inside braces{}
• It can have any number of items and they may be of different types
(integer, float, tuple, string etc)
• We can not change or access an item using indexing or slicing
• We can perform set operations like union, intersection, difference, on
two sets.
• Set have unique values, eliminate duplicates
• Empty set is created by the function set()

Set
Example
s1={1,2,3}
print(s1)
s2={1,2,3,2,1,2} #output will contain only unique values
print(s2)
s3={1,2.4,’apple’,’Tom’,3} #set of mixed data types
print(s3)
#s4={1,2,[3,4]} # set can not have mutable items
#print(s4) #hence not permitted
s5=set([1,2,3,4]) # using set function to create set from list
print(s5)
Output
{1,2,3}
{1,2,3}
{1,3,2.4,’apple’,’Tom’}
{1,2,3,4}

Built-in set functions
1. len(set) – Returns length or total number of items in a set
set1={‘abcd’,147,2.43,’Tom’}
print(len(set1)) #4
2. max(set) – Returns item from set with maximum value
set1={1200,1.12,300,2.43,147}
print(“Maximum value is:”,max(set1))
Output
Maximum value is:1200
3. min (set) – Returns item with minimum value
print(“Minimum value is:”,min(set1))
Output
Minimum value is:1.12

4. sum (set) – Returns the sum of all item in the set
set1={147,2.43}
print(“Sum of elements in”,set1,”is”,sum(set1))
Output
Sum of elements in {147,2.43} is 149.23
5. sorted (set) – Returns a new sorted list.
set1={213,100,289,40,23,1,1000}
set2=sorted(set1)
print(“Elements before sorting:”,set1)
print(“Elements after sorting:”,set2)
Output
Elements before sorting:{213,100,289,40,23,1,1000}
Elements after sorting:{1,23,40,100,213,289,1000}

6. enumerate(set) – Returns an enumerate object.
It contains the index and value of all the items of set as a pair
set1={213,100,289,40,23,1,1000}
print(“enumerate(set):”,enumerate(set1))
Output
enumerate(set): <enumerate object at 0x00F75728>
7. any(set) – Returns True, if the set contains at least one item. Otherwise returns False
set1=set()
set2={1,2,3,4}
print(“any (set):”,any(set1))
print(“any (set):”,any(set2))
Output
any(set): False
any(set):True

8. all(set) – Returns True, if all the elements are true or the set is empty
set1=set()
set2={1,2,3,4}
print(“all(set):”,all(set1))
print(“all(set):”,all(set2))
Output
all(set):True
all(set):True

Built-in set methods
1. set.add(obj) – Adds an element obj to a set
set1={3,8,2,6}
set1.add(9)
print(set1) # {8,9,2,3,6}
2. set.remove(obj) – Removes an element obj from set.
Raise an error if the set is empty
set1={3,8,2,6}
set1.remove(8)
print(set1) # {2,3,6}

3. set.discard(obj) – Removes an item obj from set.
Nothing happens if the element to be deleted is not
present
set1={3,8,2,6}
set1.discard(8)
set1.discard(10)
4. set.pop() – Removes an returns an arbitrary set element.
Raise Key error if set is empty
set1={3,8,2,6}
set1.pop()
print(“set after poping:”,set1) # {2,3,6}

5. set1.union(set2) – Returns the union of two sets as a new set
set1={3,8,2,6}
set2={4,2,1,9}
set3=set1.union(set2) #unique values will be taken
print(set3) # {1,2,3,4,6,8,9}
6. set1.update (set2) – Update a set with the union of itself and others. The
result will be sorted in set1
set1={3,8,2,6}
set2={4,2,1,9}
set1.update(set2)
print(set1) # {1,2,3,4,6,8,9}

7. set1.intersection(set2) – Returns the intersection of two sets as a
new set
set1={3,8,2,6}
set2={4,2,1,9}
set3=set1.intersection(set2
print(set3) # {2}
8. set1.intersection_update() – Update the set with the intersection of
itself and another.
result will be stored in set1
set1={3,8,2,6}
set2={4,2,1,9}
set1.intersection_update(set2)
print(set1) # {8,2,3,6}

9. set1.difference(set2) – Returns the difference of two or more sets into a new set
set1={3,8,2,6}
set2={4,2,1,9}
set3=set1.difference(set2)
print(set3) # {8,3,6}
10. set1.difference_update() – Removes all elements of another set set2 from set1
and the result is stored in set1
set1={3,8,2,6}
set2={4,2,1,9}
set1.difference_update(set2)
print(set1) # {8,3,6}

11. set1.symmetric_difference(set2)- Return the symmetric difference of two sets
as a new set.
set1={3,8,2,6}
set2={4,2,1,9}
set3=set1.symmetric_difference(set2)
print(set3) # {1,3,4,6,8,9}
12. set1.difference_update(set2)- Update a set with the symmetric difference of
itself and another
set1={3,8,2,6}
set2={4,2,1,9}
set1.symmetric_difference_update(set2)
print(set1) # {1,3,4,6,8,9}

13.set1.isdisjoint(set2) – Returns True if two sets have a null intersection
set1={3,8,2,6}
set2={4,7,1,9}
print(“Result of set1.isdisjoint(set2):”,set1.isdisjoint(set2))
Output
Result of set1.isdisjoint(set2): True
14. set1.issubset(set2) – Returns True if set1 is a subset of set2
set1={3,8}
set2={38,4,7,1,9}
print(“Result of set1.issubset(set2):”,set1.issubset(set2))
Output
Result of set1.issubset(set2): True

15. set1.issuperset(set2) – Returns True, if set1 is a super set of set2
set1={3,8,4,6}
set2={3,8}
print(“Result of set1.issuperset(set2):”,set1.issuperset(set2))
Output
Result of set1.issuperset(set2): True

Frozenset
• Frozenset is a new class that has the characteristics of a set
• Its elements cannot be changed once assigned
• Frozensets are immutable sets
• Frozenset are hashable and can be used as keys to a dictionary
• Frozensets are creates by the function frozenset()
• Supports methods like difference(), intersection(), isdisjoint(),
issubset(), issuperset(), symmetric_difference() and union()
• Being immutable it does not have methods like add(), remove(),
update(), difference_update(),
intersection_update(),bsymmetric_difference_update() etc.

Frozen set
Example:
set1= frozenset({3,8,4,6})
print(“Set 1:”,set1)
set2=frozenset({3,8})
print(“Set 2:”,set2)
print(“Result of set1.intersection(set2):”,set1.intersection(set2))
Output
Set1: frozenset({8,3,4,6})
Set 2:frozenset({8,3})
Result of set1.intersection(set2): frozenset({8,3})

Python programming -Tuple and Set Data type

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