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Today, I would like to share with you the relevant knowledge of how to apply Python's zip function. The content is detailed and the logic is clear. I believe most people still know too much about this knowledge, so share this article for your reference. I hope you can get something after reading this article.

1. Introduction of zip () function 1.1 function

The zip () function takes an iterable object as a parameter, packages the corresponding elements in the object into tuples, and then returns the zip object made up of these tuples.

1.2 Grammar

Zip (* iterables)-- > zip object

Parameter description:

(1) iterables: iterable objects, such as lists, dictionaries, tuples, strings, etc. The zip () function allows multiple iteratable objects as parameters.

(2) an empty iterator is returned when the zip () function has no arguments.

(3) when the zip () function has only one parameter, one element in turn is taken from the parameters to form a tuple, and then the tuples are combined into a new iterator.

(4) when the zip () function has two parameters, one element is taken from each of the two parameters to form a tuple, and then the tuples are combined into a new iterator.

(5) return value: returns an iterable zip object whose internal elements are tuples, which can be converted into lists or tuples using the list () function or the tuple () function.

2. Application of zip () function 2.1 using zip () function to realize list merging

Let's use the zip () function to merge the two lists. For example, merge the name_list and age_list lists as follows:

Name_list = ["Amo", "Paul", "Jason", "Seven"] age_list = [18, 19, 20, 21] # output = > [('Amo', 18), (' Paul', 19), ('Jason', 20), (' Seven', 21)] print (list (zip (name_list, age_list) 2.2 use the zip () function to create a dictionary

There are two lists, name_list and score_list, in which the student name is stored in name_list, and each student's test score is stored in score_list. If you want to find a student's test score by a student's name, you need a dictionary. The zip () function can easily set up a dictionary as follows:

Name_list = ["Amo", "Paul", "Jason", "Seven"] # definition list name_listscore_list = [80, 96, 77, 88] # definition score my_dict = dict (zip (name_list, score_list)) # use the dict () function to convert zip objects into a dictionary print (my_dict ["Amo"]) # output 802.3 zip () function ingenious rotation of 1-matrix

Matrix is a common tool in higher mathematics, and it is also often used in statistical analysis and mathematical applications. The following uses the zip () function to rotate the matrix of a xyz, as follows:

X = [1,2,3] y = [4,5,6] z = [7,8,9] xyz = list (zip (x, y, z) print (xyz) # output = > [(1,4,7), (2,5,8), (3,6,9)] 2.4 zip () function ingenious column transpose of 2-matrix

The transpose of matrix is a kind of operation of matrix, which plays an important role in all the algorithms of matrix. For example, the matrix resulting from the exchange of rows and columns of matrix An is called the transpose matrix of A, and this process is called the transpose of matrix. The following implementation transposes the xyz matrix as follows:

X = [1,2,3] y = [4,5,6] z = [7,8,9] xyz = list (zip (x, y, z)) print (xyz) for a, b, c in zip (x, y, z): print (f "{a}, {b}, {c}") 2.5 zip () function 3-transforms 4 × 3 matrix into 3 × 4 matrix data1 = ((0,1,2), (3,4,5), (6,7,8) (9,10,11) data2 = zip (* data1) print (type (data2)) # print (tuple (data2)) # output = > ((0,3,6,9), (1,4,7,10), (2,5,8,11)) 2.6 perform the reverse operation of the zip () function by decompressing the sequence

In some cases, we need to do the opposite-the decompression sequence. The decompression operation involves restoring the compressed element to its original state. You can add a * operator to a function call. The code is as follows:

A = (1,2,3) b = (10,20,30) L = list (zip (a, b)) print (f "obj = {L}") c, d = list (zip (* L)) # using the * decompression sequence print (f "c = {c}\ nd = {d}") if a = = c and b = d: print ("twice zip () equals nothing done.") 2.7 outputs the key corresponding to the maximum median value of the dictionary.

In a dictionary, the zip () function comes in handy when evaluating the key that corresponds to the largest. The code is as follows:

Data = {"Zhang San": 100," Li Si ": 20," Wang Wu ": 500,12} obj = zip (data.values (), data.keys ()) # output: the name of the student with the highest score is: Wang Wu print (f" the student with the highest score is {max (obj) [1]} ") attached: * zip ()

* the zip () function is the inverse process of the zip () function, which turns the zip object into the data before the original combination.

A = [1,2,3] b = [4,5,6] c = [7,8,9,10,11] print (* zip (a, b))

These are all the contents of the article "how to apply the zip function of Python". Thank you for reading! I believe you will gain a lot after reading this article. The editor will update different knowledge for you every day. If you want to learn more knowledge, please pay attention to the industry information channel.

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