


When to Use cla(), clf(), or close() for Clearing a Plot
Matplotlib provides several functions for clearing plots: cla(), clf(), and close(). Understanding their individual functions and usage scenarios is crucial for effective plot management.
cla()
The cla() function clears the current axis in a figure, removing all plotted data and labels. It does not affect other axes within the figure.
When to Use: Use cla() when you want to erase data from a specific axis without clearing the entire figure or closing the window.
clf()
The clf() function clears the entire current figure, removing all axes, plot elements, and labels. The figure itself remains open, allowing it to be reused for subsequent plots.
When to Use: Use clf() when you need to completely clear a figure and start with a fresh drawing surface.
close()
The close() function closes the current figure window. You can specify a specific window to close by passing its number or name as an argument. Additionally, close('all') closes all open figure windows.
When to Use: Use close() when you want to remove a figure window from memory. This is useful when you have multiple plots open and need to free up resources.
Comparison Table
Function | Action |
---|---|
cla() | Clear the current axis |
clf() | Clear the entire current figure |
close() | Close the current figure window |
Usage Examples
pyplot Interface:
import matplotlib.pyplot as plt # Clear the current axis plt.cla() # Clear the entire figure plt.clf() # Close the current figure window plt.close()
Figure Class Methods:
import matplotlib.pyplot as plt # Create a figure fig = plt.figure() # Clear the figure fig.clf()
Note: The fig.clear() method is a synonym for fig.clf().
The above is the detailed content of Matplotlib `cla()`, `clf()`, and `close()`: When to Use Which?. For more information, please follow other related articles on the PHP Chinese website!

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

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.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

Error loading Pickle file in Python 3.6 environment: ModuleNotFoundError:Nomodulenamed...


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

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

Zend Studio 13.0.1
Powerful PHP integrated development environment