Matplotlib — Visualization with Python

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Matplotlib makes easy things easy and hard things possible. </p> <ul class="no-padding"> <li> Create <a href="https://ieeexplore.ieee.org/document/4160265/citations?tabFilter=papers" >publication quality plots</a>. </li> <li> Make <a href="https://mybinder.org/v2/gh/matplotlib/mpl-brochure-binder/main?labpath=MatplotlibExample.ipynb" >interactive figures</a> that can zoom, pan, update. </li> <li> Customize <a href="https://matplotlib.org/stable/gallery/style_sheets/style_sheets_reference.html" >visual style</a> and <a href="https://matplotlib.org/stable/tutorials/provisional/mosaic.html" >layout</a>. </li> <li> Export to <a href="https://matplotlib.org/stable/api/figure_api.html#matplotlib.figure.Figure.savefig" >many file formats</a>. </li> <li> Embed in <a href="https://matplotlib.org/stable/gallery/#embedding-matplotlib-in-graphical-user-interfaces" >JupyterLab and Graphical User Interfaces</a>. </li> <li> Use a rich array of <a href="https://matplotlib.org/mpl-third-party/" >third-party packages</a> built on Matplotlib. </li> </ul> <a href="https://mybinder.org/v2/gh/matplotlib/mpl-brochure-binder/main?labpath=MatplotlibExample.ipynb" class="button button--purple" tabindex="0" role="button" > Try Matplotlib (on Binder)</a> </section> <section class="grid__intro" id="image_rotator"></section>   <section class="grid__quicklinks"> <ul class="quicklinks"> <li> <a href="https://matplotlib.org/stable/users/getting_started/"> <img src="_static/images/getting-started.svg" alt="computer desktop icon" class="quicklinks__icon dark-light" /> Getting Started </a> </li> <li> <a href="https://matplotlib.org/stable/plot_types/index.html"> <img src="_static/images/sample-plots.svg" alt="folder icon" class="quicklinks__icon dark-light" /> Examples </a> </li> <li> <a href="https://matplotlib.org/stable/index.html"> <img src="_static/images/userguide.svg" alt="documentation book icon" class="quicklinks__icon dark-light" /> Reference </a> </li> <li> <a href="https://matplotlib.org/cheatsheets/"> <img src="_static/images/cheatsheets.svg" alt="cheatsheet icon" class="quicklinks__icon dark-light" /> Cheat Sheets </a> </li> <li> <a href="https://matplotlib.org/stable/index.html"> <img src="_static/images/documentation.svg" alt="matplotlib logo icon" class="quicklinks__icon dark-light" /> Documentation </a> </li> </ul> </section>  <div class="rule rule--viridis grid__rule1"></div>  <section class="grid__news news" id="news"> <div class="news__items">   <h3>News<a class="headerlink" href="#news" title="Permalink to news section">#</a></h3> <div class="news__item--highlight"> <h5 class="date">May 30, 2024</h5> <a href="https://discourse.matplotlib.org/t/gsoc-2024-announcement/24469" class="link--offsite">GSOC 2024: Bivariate Colormaps</a> <p> A warm welcome to Trygve Magnus Ræder, who is working on <a href="https://trygvrad.github.io/google-soc-bivariate-colormaps/"> bivariate colormapping</a>. </p> </div> <div class="news__item"> <h5 class="date">May 16, 2024</h5> <a href="https://discourse.matplotlib.org/t/matplotlib-announce-ann-matplotlib-3-9-0/24444" class="link--offsite">Matplotlib 3.9.0 Released</a> <p> We thank the 175 authors for the 450 pull requests that comprise the 3.9.0 release. </p> </div>   <div class="news__discourse-link"> <div class="rule"></div> <a href="https://discourse.matplotlib.org/c/announce/14" class="link--offsite">Older Announcements</a> </div> </div> </section>  <section class="grid__resources" id="resources">  <h3>Resources<a class ="headerlink" href="#resources" title="Permalink to resources section">#</a></h3> <div class="callout__list"> <i class="far fa-question-circle callout__icon"></i> <p> Be sure to check the <a href="https://matplotlib.org/stable/users/index.html">Users guide</a> and the <a href="https://matplotlib.org/stable/api/index.html">API docs</a>. The full text <a href="https://matplotlib.org/stable/search.html">search</a> is a good way to discover the docs including the many examples. </p> </div> <div class="callout__list"> <i class="fab fa-discourse callout__icon" aria-hidden="true"></i> <p> Join our community at <a href="https://discourse.matplotlib.org">discourse.matplotlib.org</a> to get help, share your work, and discuss contributing & development. </p> </div> <div class="callout__list"> <i class="fab fa-stack-overflow callout__icon" aria-hidden="true"></i> <p> Check out the Matplotlib tag on <a href="https://stackoverflow.com/questions/tagged/matplotlib" >StackOverflow</a>. </p> </div> <div class="callout__list"> <i class="fa fa-solid fa-calendar-alt callout__icon" aria-hidden="true"></i> <p> Meet us at our monthly call for new contributors to the Matplotlib project. Subscribe to our <a href="https://scientific-python.org/calendars/">community calendar</a> at Scientific Python to get access to all our community meetings. </p> </div> <div class="callout__list"> <i class="fab fa-gitter callout__icon" aria-hidden="true"></i> <p> Short questions related to contributing to Matplotlib may be posted on the <a href="https://gitter.im/matplotlib/matplotlib">gitter</a> channel. </p> </div> </section>  <div class="rule rule--viridis grid__rule2" id="domain-specific-tools"></div>  <section class="grid__tools"> <h3>Domain Specific Tools<a class="headerlink" href="#domain-specific-tools" title="Permalink to domain specific tools section">#</a></h3> <p> A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy). </p> <a href="https://matplotlib.org/mpl-third-party/" class="link--offsite" >More Domain-Specific Tools</a > </section>  <section class="tools grid__tools-switcher grid__tools-switcher__tabs"> <div class="tabs grid__tabs__tabs" role="tablist" aria-label="Domain Specific Library Tabs" > <button class="tabs__tab" role="tab" aria-selected="true" id="seaborn-tab" aria-controls="seaborn-content" tabindex="0" > seaborn </button> <button class="tabs__tab" role="tab" aria-selected="false" id="cartopy-tab" aria-controls="cartopy-content" tabindex="-1" > Cartopy </button> <button class="tabs__tab" role="tab" aria-selected="false" id="dna-features-viewer-tab" aria-controls="dna-features-viewer-content" tabindex="-1" > DNA Features Viewer </button> <button class="tabs__tab" role="tab" aria-selected="false" id="plotnine-tab" aria-controls="plotnine-content" tabindex="-1" > plotnine </button> <button class="tabs__tab" role="tab" aria-selected="false" id="wcs-axes-tab" aria-controls="wcs-axes-content" tabindex="-1" > WCS Axes </button> </div> <div class="tabs__content grid__tabs__panel" id="seaborn-content" role="tabpanel" tabindex="0" aria-labelledby="seaborn-tab" > <div class="tabs__content__info"> <h3>seaborn</h3> <p> seaborn is a high level interface for drawing statistical graphics with Matplotlib. It aims to make visualization a central part of exploring and understanding complex datasets. </p> <a href="https://seaborn.pydata.org/" class="link--offsite" >statistical data visualization</a> </div> <img src="" alt="" /> </div> <div class="tabs__content grid__tabs__panel" id="cartopy-content" role="tabpanel" tabindex="0" aria-labelledby="cartopy-tab" hidden > <div class="tabs__content__info"> <h3>Cartopy</h3> <p> Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses. </p> <a href="https://scitools.org.uk/cartopy/docs/latest/" class="link--offsite" >Cartopy</a> </div> <img src="" alt="" /> </div> <div class="tabs__content grid__tabs__panel" id="dna-features-viewer-content" role="tabpanel" tabindex="0" aria-labelledby="dna-features-viewer-tab" hidden > <div class="tabs__content__info"> <h3>DNA Features Viewer</h3> <p> DNA Features Viewer is a Python library to visualize DNA features, e.g. from GenBank or Gff files, or Biopython SeqRecords. </p> <a href="https://github.com/Edinburgh-Genome-Foundry/DnaFeaturesViewer" class="link--offsite" >DNA Features Viewer</a> </div> <img src="" alt="" /> </div> <div class="tabs__content grid__tabs__panel" id="plotnine-content" role="tabpanel" tabindex="0" aria-labelledby="plotnine-tab" hidden > <div class="tabs__content__info"> <h3>plotnine</h3> <p> plotnine is an implementation of a grammar of graphics in Python. The grammar allows users to compose plots by explicitly mapping data to the visual objects that make up the plot. </p> <a href="https://plotnine.readthedocs.io/en/stable/" class="link--offsite" >plotnine</a> </div> <img src="" alt="" /> </div> <div class="tabs__content grid__tabs__panel" id="wcs-axes-content" role="tabpanel" tabindex="0" aria-labelledby="wcs-axes-tab" hidden > <div class="tabs__content__info"> <h3>WCSAxes</h3> <p> WCSAxes is a framework for making plots of Astronomical data in Matplotlib. </p> <a href="https://docs.astropy.org/en/stable/visualization/wcsaxes/" class="link--offsite" >WCSAxes</a> </div> <img src="" alt="" /> </div> </section>  <div class="rule rule--viridis grid__rule3"></div>  <section class="grid__support" id="support"> <h2>Support Matplotlib<a class="headerlink" href="#support" title="Permalink to support Matplotlib section">#</a></h2> <ul class="support__items grid__contribute"> <li class="callout callout--purple"> <h4>Contribute</h4> <p> Matplotlib is a community project maintained for and by its users </p> <p> You can help by answering questions <a href="https://discourse.matplotlib.org">on discourse</a>, reporting a bug or requesting a feature <a href="https://github.com/matplotlib/matplotlib/issues" >on GitHub</a >, or improving the <a href="https://matplotlib.org/stable/devel/index.html" >documentation and code</a>! </p> <a href="https://discourse.matplotlib.org" class="link--offsite" >Join us on Discourse</a> <a href="https://github.com/matplotlib/matplotlib" class="link--offsite" >Join us on GitHub</a> </li> <li class="callout callout--blue"> <h4>Cite</h4> <p> Matplotlib is the result of development efforts by John Hunter (1968–2012) and the project's <a href="https://matplotlib.org/stable/project/credits.html" >many contributors</a>. </p> <p> If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this work by citing the project! </p> <a href="https://matplotlib.org/stable/project/citing.html" class="link--offsite" >Ready made citation</a> </li> <li class="callout callout--teal"> <h4>Donate</h4> <p> If you would like to support Matplotlib financially you can donate by <a href="https://github.com/sponsors/matplotlib"> sponsoring Matplotlib on GitHub</a> or making a (USA) tax-deductible donation <a href="https://numfocus.org/donate-to-matplotlib"> through NumFOCUS</a>. </p> <a href="https://github.com/sponsors/matplotlib" class="link--offsite" >Sponsor on GitHub</a> <a href="https://numfocus.org/donate-to-matplotlib" class="link--offsite" >Donate to Matplotlib</a> </li> </ul> </section> <script src="_static/images-rotate-info.js"></script> <script src="_static/script.js"></script> </main> </div> </div>  <script src="_static/scripts/bootstrap.js?digest=dfe6caa3a7d634c4db9b"></script> <script src="_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b"></script> <footer class="footer-section"> <div class="grid__mpl-info"> <h1>Matplotlib</h1> <ul class="social fas"> <li> <a href="https://github.com/matplotlib/matplotlib" aria-label="Matplotlib on GitHub"> <i class="fab fa-github" aria-hidden="true"></i> </a> </li> <li class="social__twitter"> <a href="https://twitter.com/matplotlib" aria-label="Matplotlib on Twitter"> <i class="fab fa-twitter" aria-hidden="true"></i> </a> </li> <li class="social__discourse"> <a href="https://discourse.matplotlib.org" aria-label="Matplotlib Discourse"> <i class="fab fa-discourse" aria-hidden="true"></i> </a> </li> <li class="social__gitter"> <a href="https://gitter.im/matplotlib/matplotlib" aria-label="Matplotlib on Gitter"> <i class="fab fa-gitter" aria-hidden="true"></i> </a> </li> <li class="social__instagram"> <a href="https://instagram.com/matplotart" aria-label="Matplotlib on Instagram"> <i class="fab fa-instagram" aria-hidden="true"></i> </a> </li> </ul> <a href="https://numfocus.org/donate-to-matplotlib" class="button button--green" >Donate to Matplotlib</a> <p class="copywrite">© 2012 – 2024 The Matplotlib development team</p> </div> <ul class="mpl-links grid__mpl-links"> <li><a href="https://blog.scientific-python.org/tags/matplotlib/">Matplotblog</a></li> <li> <a href="https://matplotlib.org/stable/project/code_of_conduct.html" >Code of Conduct</a> </li> <li> <a href="https://matplotlib.org/stable/project/license.html">License</a> </li> <li> <a href="https://matplotlib.org/governance/">Governance</a> </li> <li> <a href="https://numfocus.org/sponsored-projects" >NumFOCUS Fiscally Sponsored Project</a> </li> </ul> <ul class="release-docs grid__release-docs"> <dl class="release"> <dt>Latest Stable Release</dt> <dd> <a href="https://matplotlib.org/stable">docs</a> | <a href="https://matplotlib.org/stable/users/release_notes.html">changelog</a> </dd> <dt>Development version</dt> <dd> <a href="https://matplotlib.org/devdocs/index.html">docs</a> </dd> </dl> </ul> </footer> </div> </body> </html>

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