Set
Definition
- One of the data structure in python.
- Create set of data
Data Structures in Python
- List:
- Tuple: ( )
- Dictionary: { key : value }
- set: { }
declaration
- use { and } to declare
setA={1,3,4,"test"} # {1, 'test', 3, 4}
setB={2,4,"test",5,6} # {2, 'test', 4, 5, 6}
Characteristics
- No duplicated value
- Do not care about order
- set algebra(union, intersection, difference, symmetric difference)
Set Algebra
union
union example
setA={1,3,4,"test"} # {1, 'test', 3, 4}
setB={2,4,"test",5,6} # {2, 'test', 4, 5, 6}
print(setA|setB)
print(setA.union(setB))
# {1, 2, 3, 4, 5, 6, 'test'}
intersection
Keyword: “&",“intersection()”
intersection example
setA={1,3,4,"test"} # {1, 'test', 3, 4}
setB={2,4,"test",5,6} # {2, 'test', 4, 5, 6}
print(setA&setB)
print(setA.intersection(setB))
# {'test', 4}
difference of sets
Keyword: “-",“difference()”
difference of sets example
setA={1,3,4,"test"} # {1, 'test', 3, 4}
setB={2,4,"test",5,6} # {2, 'test', 4, 5, 6}
print(setA-setB)
print(setA.difference(setB))
# {1, 3}
symmetric difference
Keyword: “^”,“symmetric_difference()”
symmetric difference example
setA={1,3,4,"test"} # {1, 'test', 3, 4}
setB={2,4,"test",5,6} # {2, 'test', 4, 5, 6}
print(setA^setB)
print(setA.symmetric_difference(setB))
# {1, 2, 3, 5, 6}