


python matplotlib Chinese display parameter setting analysis_python
This article mainly introduces the analysis of Chinese display parameter settings of python matplotlib, which has certain reference value. Friends who are interested in python can refer to it.
Recently, when I was learning Python's famous Drawing package matplotlib, I found that sometimes legends and other settings could not display Chinese properly, so I wanted to solve this problem.
PS: This article is only for Windows, other platforms are for reference only.
The reason
is roughly that there are no Chinese fonts in the matplotlib library.
I installed anaconda, which is the folder where the corresponding matplotlib font is located (how to find the matplotlibconfig file folder, the solution will be described below, easyman~).
C:\Anaconda64\Lib\site-packages\matplotlib\mpl-data\fonts\ttf
Solution
Now to sort me out I think a better solution is:
Set parameters every time you write code
#coding:utf-8 import matplotlib.pyplot as plt plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签 plt.rcParams['axes.unicode_minus']=False #用来正常显示负号 #有中文出现的情况,需要u'内容'
Once and for all (recommended)
import matplotlib matplotlib.matplotlib_fname() #将会获得matplotlib包所在文件夹
Then enter C:\Anaconda64\Lib\site-packages\matplotlib\mpl-data and you can see it in this folder to the matplotlibrc configuration file.
1) Open the configuration file and find the following line:
#font.serif : Bitstream Vera Serif, New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
Then change the preceding NoteRemove!
2) Find Chinese fonts and put them in the matplotlib font library.
Copy the font under the Windows folder: C:\Windows\Fonts\MicrosoftYaHeiUI, and then paste it into the C:\Anaconda64\Lib\site-packages\matplotlib\mpl-data\fonts\ttf folder, And rename it Vera.ttf.
Note: The function of this step is actually to replace a default font in matplotlib with the Chinese font we copied, and change the Chinese font name to the font name in matplotlib.
Actually, there are other solutions, but they seem to have failed in my case.
Supplement
The negative sign of the coordinate axis is displayed normally
#去掉了注释符号,同时,改为False axes.unicode_minus : False
Example
#coding:utf-8 import matplotlib.pyplot as plt plt.plot((1,2,3),(4,3,-1)) plt.xlabel(u'横坐标') plt.ylabel(u'纵坐标') plt.show()
##Summary
Above This is the entire content of this article about the analysis of Chinese display parameter settings of python matplotlib. I hope it will be helpful to everyone. Interested friends can continue to refer to this site:Related recommendations:
Use regular expressions in python Example code of formula connector
Python implementation of outputting colored string case analysis
Python implementation of genetic algorithm code
The above is the detailed content of python matplotlib Chinese display parameter setting analysis_python. 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.

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.

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 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.

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.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
