Backend Development
Python Tutorial
How to Remove Excess White Space Around Saved Images in Matplotlib?
How to Remove Excess White Space Around Saved Images in Matplotlib?
Removing Excess White Space Around Saved Images with Matplotlib
Problem:
When saving an image after processing with Matplotlib, encountering excessive white space around the saved image, despite attempting the tight option.
Investigation:
Initially, the issue was observed when displaying a basic figure containing an imported image. However, upon adding a NetworkX graph to the figure, white space appeared around the saved image.
Solution:
Specifying bbox_inches="tight" while saving the figure eliminates the white space padding:
plt.savefig("test.png", bbox_inches='tight')Explanation:
The bbox_inches argument controls the bounding box of the saved image in inches. Setting it to 'tight' instructs Matplotlib to automatically adjust the bounding box to tightly fit the contents of the figure, eliminating unnecessary white space.
Related Topics:
- Avoiding Axis, Legends, and White Space in Matplotlib Plots
- Adjusting Figure Margins in Matplotlib
- Reducing Margins for Specific Axes in Matplotlib
The above is the detailed content of How to Remove Excess White Space Around Saved Images in Matplotlib?. 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
1664
14
1423
52
1318
25
1268
29
1248
24
Python vs. C : Applications and Use Cases Compared
Apr 12, 2025 am 12:01 AM
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.
Python: Games, GUIs, and More
Apr 13, 2025 am 12:14 AM
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 vs. C : Learning Curves and Ease of Use
Apr 19, 2025 am 12:20 AM
Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.
The 2-Hour Python Plan: A Realistic Approach
Apr 11, 2025 am 12:04 AM
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 and Time: Making the Most of Your Study Time
Apr 14, 2025 am 12:02 AM
To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.
Python vs. C : Exploring Performance and Efficiency
Apr 18, 2025 am 12:20 AM
Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.
Python: Automation, Scripting, and Task Management
Apr 16, 2025 am 12:14 AM
Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
Learning Python: Is 2 Hours of Daily Study Sufficient?
Apr 18, 2025 am 12:22 AM
Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
