


How to use the type() function in Python to get the type of an object
How to use the type() function in Python to obtain the type of an object
Python is a dynamic language, and objects can change types at runtime. Therefore, in the programming process, it is very important to understand the type of objects. Python provides the type() function to obtain the type of an object.
Using the type() function is very simple. You only need to pass the object whose type you want to check as a parameter to the function. Let's use several examples to demonstrate how to use the type() function to obtain the type of an object.
Example 1: Get the type of integer
num = 10 print(type(num))
Running result:
<class 'int'>
In the above code, we define an integer object num and obtain it through the type() function The type of object. The result is displayed as <class 'int'>, indicating that the type of the object is an integer.
Example 2: Get the type of floating point number
pi = 3.14159 print(type(pi))
Running result:
<class 'float'>
In the above code, we define a floating point number object pi, and pass type() The function gets the type of object. The result is displayed as <class 'float'>, indicating that the type of the object is a floating point number.
Example 3: Get the type of string
name = "Tom" print(type(name))
Running result:
<class 'str'>
In the above code, we define a string object name and pass type() The function gets the type of object. The result is displayed as <class 'str'>, indicating that the type of the object is a string.
Example 4: Get the type of Boolean value
flag = True print(type(flag))
Running result:
<class 'bool'>
In the above code, we define a Boolean value object flag and pass type() The function gets the type of object. The result is displayed as <class 'bool'>, indicating that the type of the object is a Boolean value.
Example 5: Get the type of the list
lst = [1, 2, 3] print(type(lst))
Running result:
<class 'list'>
In the above code, we define a list object lst and obtain it through the type() function The type of object. The result is displayed as <class 'list'>, indicating that the type of the object is a list.
Example 6: Get the type of dictionary
dic = {"name": "Tom", "age": 20} print(type(dic))
Running result:
<class 'dict'>
In the above code, we define a dictionary object dic and obtain it through the type() function The type of object. The result is displayed as
Through the above example, we can see that the type of the object can be easily obtained using the type() function, and the result is displayed in the form of
It should be noted that the type() function returns the type of the object, that is, the type of the class to which the object belongs. If we use the type() function on a custom class, it will return
In summary, the type() function is a built-in function in Python for obtaining the type of an object. The type of an object can be easily obtained through the type() function. Knowing the types of objects is very important for program development and debugging. It can help us correctly operate different types of objects and improve programming efficiency.
The above is the detailed content of How to use the type() function in Python to get the type of an object. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

This tutorial demonstrates how to use Python to process the statistical concept of Zipf's law and demonstrates the efficiency of Python's reading and sorting large text files when processing the law. You may be wondering what the term Zipf distribution means. To understand this term, we first need to define Zipf's law. Don't worry, I'll try to simplify the instructions. Zipf's Law Zipf's law simply means: in a large natural language corpus, the most frequently occurring words appear about twice as frequently as the second frequent words, three times as the third frequent words, four times as the fourth frequent words, and so on. Let's look at an example. If you look at the Brown corpus in American English, you will notice that the most frequent word is "th

Python provides a variety of ways to download files from the Internet, which can be downloaded over HTTP using the urllib package or the requests library. This tutorial will explain how to use these libraries to download files from URLs from Python. requests library requests is one of the most popular libraries in Python. It allows sending HTTP/1.1 requests without manually adding query strings to URLs or form encoding of POST data. The requests library can perform many functions, including: Add form data Add multi-part file Access Python response data Make a request head

This article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel

Dealing with noisy images is a common problem, especially with mobile phone or low-resolution camera photos. This tutorial explores image filtering techniques in Python using OpenCV to tackle this issue. Image Filtering: A Powerful Tool Image filter

PDF files are popular for their cross-platform compatibility, with content and layout consistent across operating systems, reading devices and software. However, unlike Python processing plain text files, PDF files are binary files with more complex structures and contain elements such as fonts, colors, and images. Fortunately, it is not difficult to process PDF files with Python's external modules. This article will use the PyPDF2 module to demonstrate how to open a PDF file, print a page, and extract text. For the creation and editing of PDF files, please refer to another tutorial from me. Preparation The core lies in using external module PyPDF2. First, install it using pip: pip is P

This tutorial demonstrates how to leverage Redis caching to boost the performance of Python applications, specifically within a Django framework. We'll cover Redis installation, Django configuration, and performance comparisons to highlight the bene

Natural language processing (NLP) is the automatic or semi-automatic processing of human language. NLP is closely related to linguistics and has links to research in cognitive science, psychology, physiology, and mathematics. In the computer science

This article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap
