A very useful built-in function in Python: zip. The zip function is used to take an iterable object as a parameter, package the corresponding elements in the object into tuples, and then return the objects composed of these tuples. If you're not familiar with the zip function yet, follow me to dive into its usage!
First, we need to understand the parameters of the zip function. The zip function can accept any number of iterable objects as arguments, including lists, tuples, strings, and so on. It will pack the corresponding elements in each object into a tuple according to the length of the iterable object, and return the objects that are made up of those tuples.
For example, if we have two lists A and B, we can use the zip function to package them into tuple:
a = [1, 2, 3]In this example, the zip function packages the corresponding elements in lists A and B into tuples and returns an object made up of those tuples. Then we can get a list of tuples by converting this object into a list. In addition to accepting multiple iterable objects as arguments, the zip function can also accept an optional argument to specify the number of elements in each tuple. This parameter is called the "compression" parameter. When the Compression parameter is greater than 1, the zip function will ignore iterable objects that are not long enough. For example, if we have a list A and a list B of length 3, we can use the zip function to package them into tuples and specify that the number of elements in each tuple is 2:b = ['a', 'b', 'c']
c = zip(a, b)
print(list(c))
output [(1,.]'a'), 2, 'b'), 3, 'c')]
a = [1, 2, 3]In this example, the zip function packs the corresponding elements in lists A and B into tuples, and specifies that the number of elements in each tuple is 2. Since list b is 3 in length and the "compress" parameter is 2, the zip function will only return two tuples, ignoring the last element in list b.b = ['a', 'b', 'c']
c = zip(a, b, 2)
print(list(c))
output [(1,.]'a'), 2, 'b')]
In addition to the above usages, the zip function has some other interesting features. For example, it can accept elements of an iterable object as keyword arguments passed to other functions. This makes it easy to call some functions that require multiple parameters.
At the same time, the object returned by the zip function is an iterator, which means that it does not calculate all tuples at once, but each tuple as needed. This makes the zip function more efficient when working with large data sets.