Python uses matplotlib to draw 3D graphics (code example)
The content of this article is about using matplotlib to draw 3D graphics (code examples) in Python. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you. help.
3D graphics are widely used in the fields of data analysis, data modeling, graphics and image processing. The following will introduce to you how to use matplotlib in Python to draw 3D graphics, including 3D scatter. Drawing of points, 3D surfaces, 3D contours, 3D straight lines (curves) and 3D text, etc.
Preparation work:
To draw 3D graphics in python, you still use the commonly used drawing module matplotlib, but you need to install the mpl_toolkits toolkit. The installation method is as follows: enter the python installation directory from the windows command line In the Scripts folder, execute: pip install --upgrade matplotlib; execute this command directly in Linux environment.
After installing this module, you can call the mplot3d class under mpl_tookits to draw 3D graphics.
The following is an example.
1. Drawing of 3D surface shape
This code draws a 3D ellipsoid surface. The result is as follows:
2. Drawing of 3D straight lines (curves)
This code is used to draw a spiral 3D curve, the results are as follows:
3. Draw 3D contour
The drawing results are as follows :
4. Draw a 3D histogram
##The drawing results are as follows:
6. Draw 3D triangle patch diagram
##The drawing results are as follows:
7. Draw a 3D scatter plot
The drawing results are as follows:
The above is the detailed content of Python uses matplotlib to draw 3D graphics (code example). 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



You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

As a data professional, you need to process large amounts of data from various sources. This can pose challenges to data management and analysis. Fortunately, two AWS services can help: AWS Glue and Amazon Athena.

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

Question: How to view the Redis server version? Use the command line tool redis-cli --version to view the version of the connected server. Use the INFO server command to view the server's internal version and need to parse and return information. In a cluster environment, check the version consistency of each node and can be automatically checked using scripts. Use scripts to automate viewing versions, such as connecting with Python scripts and printing version information.

The steps to start a Redis server include: Install Redis according to the operating system. Start the Redis service via redis-server (Linux/macOS) or redis-server.exe (Windows). Use the redis-cli ping (Linux/macOS) or redis-cli.exe ping (Windows) command to check the service status. Use a Redis client, such as redis-cli, Python, or Node.js, to access the server.

Redis memory size setting needs to consider the following factors: data volume and growth trend: Estimate the size and growth rate of stored data. Data type: Different types (such as lists, hashes) occupy different memory. Caching policy: Full cache, partial cache, and phasing policies affect memory usage. Business Peak: Leave enough memory to deal with traffic peaks.

Redis persistence will take up extra memory, RDB temporarily increases memory usage when generating snapshots, and AOF continues to take up memory when appending logs. Influencing factors include data volume, persistence policy and Redis configuration. To mitigate the impact, you can reasonably configure RDB snapshot policies, optimize AOF configuration, upgrade hardware and monitor memory usage. Furthermore, it is crucial to find a balance between performance and data security.
