When to Clear, Close, or Purge Your Matplotlib Plots
Matplotlib provides three key functions for managing active plots: cla(), clf(), and close(). Understanding their specific roles is crucial for maintaining a clean and efficient plotting workflow.
cla()
Use cla() (Clear Axis) to remove all data from the currently active axis within the current figure. It leaves other axes unaffected. This is ideal when you wish to refresh a specific subplot without disrupting the entire figure.
clf()
In contrast to cla(), clf() (Clear Figure) removes all axes, data points, and annotations from the entire figure. It leaves the figure window open, allowing you to create a new plot or reuse it for another. Use this function to clear the entire plot area for a fresh start.
close()
close() (Close Figure Window) shuts down the current figure window. Optionally, you can specify a figure number or name to close a specific window. Additionally, close('all') closes all open figure windows. This function is particularly useful when you need to clear multiple plots or free up memory.
Comparison
| Function | Purpose |
|---|---|
| cla() | Clear current axis |
| clf() | Clear entire figure |
| close() | Close figure window |
Additional Notes
- fig.clf() and fig.clear() are equivalent if fig is the current figure.
- Deleting a figure instance (del fig) does not close the associated window.
- To clear a specific axis using its class methods, use axis.clear().
The above is the detailed content of Matplotlib Plots: When to Use `cla()`, `clf()`, or `close()`?. For more information, please follow other related articles on the PHP Chinese website!
What are the alternatives to concatenate two lists in Python?May 09, 2025 am 12:16 AMThere are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.
Python: Efficient Ways to Merge Two ListsMay 09, 2025 am 12:15 AMThere are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.
Compiled vs Interpreted Languages: pros and consMay 09, 2025 am 12:06 AMCompiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab
Python: For and While Loops, the most complete guideMay 09, 2025 am 12:05 AMIn Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.
Python concatenate lists into a stringMay 09, 2025 am 12:02 AMTo concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li
Python's Hybrid Approach: Compilation and Interpretation CombinedMay 08, 2025 am 12:16 AMPythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.
Learn the Differences Between Python's 'for' and 'while' LoopsMay 08, 2025 am 12:11 AMThekeydifferencesbetweenPython's"for"and"while"loopsare:1)"For"loopsareidealforiteratingoversequencesorknowniterations,while2)"while"loopsarebetterforcontinuinguntilaconditionismetwithoutpredefinediterations.Un
Python concatenate lists with duplicatesMay 08, 2025 am 12:09 AMIn Python, you can connect lists and manage duplicate elements through a variety of methods: 1) Use operators or extend() to retain all duplicate elements; 2) Convert to sets and then return to lists to remove all duplicate elements, but the original order will be lost; 3) Use loops or list comprehensions to combine sets to remove duplicate elements and maintain the original order.
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
SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
SublimeText3 Mac version
God-level code editing software (SublimeText3)
SublimeText3 English version
Recommended: Win version, supports code prompts!
SublimeText3 Linux new version
SublimeText3 Linux latest version
