Matplotlib
comprehensive library for creating static, animated, and interactive visualizations in Python
Matplotlib (a portmanteau of MATLAB, plot, and library) is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK. There is also a procedural "pylab" interface based on a state machine (like OpenGL), designed to closely resemble that of MATLAB, though its use is discouraged. SciPy makes use of Matplotlib.
Matplotlib was originally written by John D. Hunter. Since then it has had an active development community and is distributed under a BSD-style license. Michael Droettboom was nominated as Matplotlib's lead developer shortly before John Hunter's death in August 2012 and was further joined by Thomas Caswell. Matplotlib is a NumFOCUS fiscally sponsored project.
Usage
Matplotlib is used in scientific research as a tool for data visualization. For example, the Event Horizon Telescope collaboration used Matplotlib to produce visualizations during the effort to create the first image of a black hole. Matplotlib also underpins the plotting functionality of many scientific Python libraries (for instance, pandas uses Matplotlib as its default backend for plotting).
This brief starts where responsible research should: with the source description of “Matplotlib” as comprehensive library for creating static, animated, and interactive visualizations in Python. Everything that follows is an evidence route, not borrowed authority.
Why this record matters
The subject matters to the places & architecture register because the source frames it as comprehensive library for creating static, animated, and interactive visualizations in Python. Its deeper value depends on whether names, dates, institutions and citations support that framing.
The strongest evidence will usually combine a dated visual record with documents produced by the authority responsible for the place. The source revision retrieved here is dated Jul 16, 2026. The linked authority identifier is Q2985668. 3 of 4 selected statements include explicit references; 2 carry qualifiers and 1 use preferred rank. The first chronological checks are 2012.
Architectural summaries often privilege surviving fabric and can understate demolished phases, contested use or displaced communities. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.
How to read it
Treat names, boundaries and functions as historically changeable. Maps, plans, inventories and administrative records can clarify what the place meant at different dates.
- Historic place names
- Jurisdictional context
- Routes into maps and plans
Contemporary maps, plans, listed-building records, estate papers and the responsible local or national archive.
Three-step research path
- Establish the record: confirm the title “Matplotlib”, its source revision and the description used here.
- Expand the search: follow Matplotlib primary sources, Matplotlib archive and Matplotlib research across catalogues and specialist indexes.
- Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.
Questions for further research
- Which source most directly establishes the central claim about “Matplotlib”?
- Which authority defined the place, boundary or structure at the relevant date?
- What physical evidence or contemporary plan supports the description?
Search terms from this dossier
This entry incorporates text from “Matplotlib” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.