# plotting library
**Wikidata**: [Q132529059](https://www.wikidata.org/wiki/Q132529059)  
**Source**: https://4ort.xyz/entity/plotting-library

## Summary
A plotting library is a software component that provides functionality for creating visual representations of data, typically graphs and charts, and is classified as a type of software library related to plotting devices.

## Key Facts
- A plotting library is a software library that provides functionality for creating visual representations of data
- It is classified as a subclass of both "plotter" (computer output device) and "software library"
- KPLOT is an open source Cairo plotting library with an inception date of 1979
- Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python with an inception date of 2003
- Matplotlib has a sitelink_count of 23 and references its license policy

## FAQs
### Q: What is the difference between a plotting library and a plotter?
A: A plotting library is a software component that provides functions to generate visual representations of data (like graphs and charts), while a plotter is a physical computer output device that draws on or cuts into materials using a pen or knife.

### Q: Which is the most popular plotting library mentioned?
A: Matplotlib is described as a comprehensive library for creating visualizations in Python with an inception date of 2003.

### Q: What is KPLOT and when was it created?
A: KPLOT is an open source Cairo plotting library that was created in 1979.

## Why It Matters
Plotting libraries are crucial tools for data visualization, enabling users to transform complex data into understandable visual representations. They bridge the gap between raw data and human comprehension, making it easier to identify patterns, trends, and insights that might be missed in raw numerical data. The development of plotting libraries has significantly accelerated scientific research, data analysis, and data communication by providing standardized, efficient tools for creating high-quality visualizations.

## Notable For
- KPLOT was created in 1979 as an open source Cairo plotting library
- Matplotlib, created in 2003, is described as a comprehensive library for creating static, animated, and interactive visualizations in Python
- Matplotlib has a sitelink_count of 23 and references its license policy
- Plotting libraries are classified as subclasses of both "plotter" (computer output device) and "software library"

## Body
### Classification and Relationships
Plotting libraries are software components that fall under the classification of both "plotter" (computer output device) and "software library". This dual classification reflects their role as both a software tool and a component that interacts with or represents the functionality of physical plotting devices.

### Development Timeline
The development of plotting libraries has progressed over time with notable milestones:
- KPLOT, an open source Cairo plotting library, was created in 1979
- Matplotlib, a comprehensive Python visualization library, emerged in 2003

### Technical Characteristics
Plotting libraries typically provide functions for creating various types of visualizations, including:
- Static graphs and charts
- Animated visualizations
- Interactive visual representations

### Usage and Applications
These libraries are widely used in scientific research, data analysis, and data communication to help users understand complex data patterns and relationships. They enable researchers and analysts to present findings in a more accessible format, facilitating better decision-making and communication of results.