Content deleted Content added
Sadesterbo (talk | contribs) |
m slightly increased size of jupyter notebook figure |
||
Line 33:
Matplotlib is widely used in scientific research as a tool for data visualization. Researchers across disciplines such as physics, astronomy, engineering, and biology use Matplotlib to create publication-quality graphs and plots for their analyses and papers. The library has been used in well-known scientific projects; for example, the [[Event Horizon Telescope]] collaboration used Matplotlib to produce visualizations during the effort to create the first image of a black hole.<ref name="NumPyBlackHole">{{cite web |title=Case Study: First Image of a Black Hole |url=https://numpy.org/case-studies/blackhole-image/ |website=NumPy |access-date=22 April 2025}}</ref> Matplotlib also underpins the plotting functionality of many scientific [[Python (programming language)|Python]] libraries (for instance, [[pandas (software)|pandas]] uses Matplotlib as its default backend for plotting). Its importance to the scientific community has been acknowledged by institutions such as [[NASA]], which in 2024 awarded a grant to support Matplotlib’s continued development as part of an initiative to fund widely used open-source scientific software.<ref name="NASAOpenSource">{{cite web |title=NASA Funds Open-Source Software Underpinning Scientific Innovation |url=https://www.nasa.gov/news-release/nasa-funds-open-source-software-underpinning-scientific-innovation/ |website=NASA |access-date=22 April 2025}}</ref>
[[File:Matplotlib in jupyter notebook.png|thumb|
In education and data science, Matplotlib is frequently used to teach programming and data visualization. It integrates with [[Jupyter Notebook]], allowing students and instructors to generate inline plots and interactively explore data within a notebook environment.<ref name="JupyterNature">{{cite news |title=Interactive notebooks: Sharing the code |url=https://www.nature.com/articles/d41586-018-07196-1 |work=Nature |date=18 September 2018 |access-date=22 April 2025}}</ref> Many educational institutions incorporate Matplotlib into their curricula for teaching STEM concepts,<ref name="MatplotlibTutorial">{{cite web |title=Pyplot tutorial |url=https://matplotlib.org/stable/tutorials/introductory/pyplot.html |website=Matplotlib |access-date=22 April 2025}}</ref> and it is widely featured in tutorials, workshops, and open online courses as a primary plotting library. This broad adoption across both academia and industry has helped establish Matplotlib as a standard component of scientific and educational visualization workflows.
| |||