


Introduction to Python's method of implementing list and mutual conversion between list and array
This article mainly introduces the list in Python and the implementation method of mutual conversion between list and array. It briefly analyzes the function and usage of list in Python and the implementation skills of mutual conversion between list and array. Friends in need can refer to it
The example in this article describes the implementation method of list and mutual conversion between list and array in Python. Share it with everyone for your reference, the details are as follows:
The list in python is an ordered collection, and elements can be added or deleted at any time;
# -*- coding: utf-8 -*- frameID = 1 frameID_list = [] frameID_list.append(frameID) print (frameID_list) frameID = 2 frameID_list.append(frameID) print (frameID_list) name = 'SRX' frameID_list.append(name) print (frameID_list) print (len(frameID_list)) #打印长度 print (frameID_list[2]) #使用[]进行索引 print (frameID_list[-1]) frameID_list.insert(1, 'WJC') #在指定位置插入元素 print (frameID_list) frameID_list.pop() #将最后一位的元素删除 print (frameID_list) frameID_list.pop(0) #删除指定位置的元素 print (frameID_list)
The following is said Let's convert list to array in numpy.
First of all, the attributes of the elements in the list should be consistent before conversion, as shown below. The elements contained in frame_ID_list are the frame numbers recorded in str type. First, use np.array to convert it into an array of int type, and then A mathematical operation is performed on each element of the converted array. Since the result of the operation is float, it is forced to be converted to int type in the second line. Finally, the np array is converted back to list. The entire operation It is equivalent to completing the process of performing mathematical operations on each element in the list (which contains elements of type str) and then converting it back to the list.
frame_ID_list_np = np.array(frame_ID_list, dtype = int) frame_ID_list_np = np.array(frame_ID_list_np / 1000 * fps, dtype = int) frame_ID_list = frame_ID_list_np.tolist()
In addition, there is another point that needs attention, that is, when judging whether two variables are equal after type conversion, for example:
frame_ID = '1000' ID_count = 1000 frame_ID = '1000' ID_count = 1000 if frame_ID == ID_count: ...
At this time, this if will not be established. It is easy to see the error by writing it directly. However, when frame_ID and ID_count are obtained from other variables, it is not so clear to see the two. type, so be sure to pay attention to these small details when programming;
is similar when storing files, such as:
##
str_name_FID = str(frame_ID_list_np_save[count_save_frame_np]) cv2.imwrite('image/' + video_name_save + '_' + str_name_FID + '.jpg',frame) #save the image count_save_frame_np = count_save_frame_np + 1
The above is the detailed content of Introduction to Python's method of implementing list and mutual conversion between list and array. 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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.
