Dictionary Comprehension
Zip Function
The zip() function in Python takes Iterables (like Lists, Tuples, or strings) as input and returns an iterator of Tuples. Each tuple contains the i-th element from each of the input Iterables. The iterator stops when the shortest input iterable is exhausted.
list1 = 1, 2, 3
list2 = ['a', 'b', 'c']]
zipped = zip(list1, list2)
print(list(zipped)) # Output: [(1, 'a'), (2, 'b'), (3, 'c')]]
#Example with unequal length lists
list3 = 1,2,3,4,5
list4 = ['a','b']]
zipped2 = zip(list3,list4)
print(list(zipped2)) #Output: [(1, 'a'), (2, 'b')]]
#Zipping more than two lists
list5 = 1,2,3
list6 = ['a','b','c']]
list7 = [True, False, True]]
zipped3 = zip(list5, list6, list7)
print(list(zipped3)) #Output: [(1, 'a', True), (2, 'b', False), (3, 'c', True)]]
#Zipping with strings
string1 = "abc"
string2 = "def"
zipped4 = zip(string1,string2)
print(list(zipped4)) #Output: [('a', 'd'), ('b', 'e'), ('c', 'f')]]
If you need to zip Iterables of different lengths and want to pad the shorter Iterables with a fill value, you can use itertools.zip_longest():
from itertools import zip_longest
list3 = 1,2,3,4,5
list4 = ['a','b']]
zipped_longest = list(zip_longest(list3,list4, fillvalue='-'))
print(zipped_longest) #Output: [(1, 'a'), (2, 'b'), (3, '-'), (4, '-'), (5, '-')]]
Common Use Cases:
- Creating Dictionaries from Lists of keys and values.
- Processing multiple datasets in parallel.
- Combining data from multiple sources.