matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six graphical user interface toolkits.

References in zbMATH (referenced in 268 articles )

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  1. A. Buckley, J. M. Butterworth, L. Corpe, M. Habedank, D. Huang, D. Yallup, M. Altakach, G. Bassman, I. Lagwankar, J. Rocamonde, H. Saunders, B. Waugh, G. Zilgalvis: Testing new-physics models with global comparisons to collider measurements: the Contur toolkit (2021) arXiv
  2. Alex M. Ganose; Amy Searle; Anubhav Jain; Sinéad M. Griffin: IFermi: A python library for Fermi surface generation and analysis (2021) not zbMATH
  3. Bartzos, Evangelos; Emiris, Ioannis Z.; Legerský, Jan; Tsigaridas, Elias: On the maximal number of real embeddings of minimally rigid graphs in (\mathbbR^2,\mathbbR^3) and (S^2) (2021)
  4. Christophe Besse, Romain Duboscq, Stefan Le Coz: Numerical Simulations on Nonlinear Quantum Graphs with the GraFiDi Library (2021) arXiv
  5. Eriksson, Jens; Styrström, Daniel; Sellin, Mikael E.: Cellocity: A Python package for analysis of confluent cell layer dynamics (2021) not zbMATH
  6. Haan, Sebastian: GeoBO: Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences (2021) not zbMATH
  7. Higa, Kenneth; Battaglia, Vincent S.; Srinivasan, Venkat: PyGDH: Python Grid Discretization Helper (2021) not zbMATH
  8. Jon Schwenk; Jayaram Hariharan: RivGraph: Automatic extraction and analysis of river and delta channel network topology (2021) not zbMATH
  9. Kelley, Luke Zoltan: kalepy: a Python package for kernel density estimation, sampling and plotting (2021) not zbMATH
  10. Koch, Timo; Gläser, Dennis; Weishaupt, Kilian; Ackermann, Sina; Beck, Martin; Becker, Beatrix; Burbulla, Samuel; Class, Holger; Coltman, Edward; Emmert, Simon; Fetzer, Thomas; Grüninger, Christoph; Heck, Katharina; Hommel, Johannes; Kurz, Theresa; Lipp, Melanie; Mohammadi, Farid; Scherrer, Samuel; Schneider, Martin; Seitz, Gabriele; Stadler, Leopold; Utz, Martin; Weinhardt, Felix; Flemisch, Bernd: DuMu(^\textx 3) -- an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling (2021)
  11. Lowry-Duda, David; Wheeler, Miles H.: Perturbing the mean value theorem: implicit functions, the Morse lemma, and beyond (2021)
  12. Partha Pratim Das, Muthu Ram Prabhu Elenchezhian, Vamsee Vadlamudi, Kenneth Reifsnider, Rassel Raihan: RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications (2021) not zbMATH
  13. P. Joseph, C. S. Stalin, S. N. Tandon, S. K. Ghosh: Curvit: An open-source Python package to generate light curves from UVIT data (2021) arXiv
  14. Qiusheng Wu: lidar: A Python package for delineating nested surface depressions from digital elevation data (2021) not zbMATH
  15. Robert Morgan; Brian Nord; Simon Birrer; Joshua Yao-Yu Lin; Jason Poh: deeplenstronomy: A dataset simulation package for strong gravitational lensing (2021) not zbMATH
  16. Weitz, Edmund: Concrete mathematics (not only) for computer scientists. With many graphics and algorithms in Python. With illustrations by Heike Stephan (2021)
  17. Zoltan Csati, Jean-François Witz, Vincent Magnier, Ahmed El Bartali, Nathalie Limodin; Denis Najjar: CristalX: Facilitating simulations for experimentally obtained grain-based microstructures (2021) not zbMATH
  18. Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke: colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes (2020) not zbMATH
  19. Aleksandrov, P. A.; Elenin, G. G.: Testing a new conservative method for solving the Cauchy problem for Hamiltonian systems on test problems (2020)
  20. Alexandrov, Alexander; Benidis, Konstantinos; Bohlke-Schneider, Michael; Flunkert, Valentin; Gasthaus, Jan; Januschowski, Tim; Maddix, Danielle C.; Rangapuram, Syama; Salinas, David; Schulz, Jasper; Stella, Lorenzo; Türkmen, Ali Caner; Wang, Yuyang: GluonTS: probabilistic and neural time series modeling in Python (2020)

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