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 246 articles )

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  1. 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)
  2. 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)
  3. 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
  4. Aleksandrov, P. A.; Elenin, G. G.: Testing a new conservative method for solving the Cauchy problem for Hamiltonian systems on test problems (2020)
  5. 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)
  6. Ali Ramadhan; Gregory L. Wagner; Chris Hill; Jean-Michel Campin; Valentin Churavy; Tim Besard; Andre Souza; Alan Edelman; Raffaele Ferrari; John Marshall: Oceananigans.jl: Fast and friendly geophysical uid dynamics on GPUs (2020) not zbMATH
  7. Andrew R. McCluskey; Tim Snow: uravu: Making Bayesian modelling easy(er) (2020) not zbMATH
  8. Aravkin, Aleksandr; Davis, Damek: Trimmed statistical estimation via variance reduction (2020)
  9. Arora, Rajat; Zhang, Xiaohan; Acharya, Amit: Finite element approximation of finite deformation dislocation mechanics (2020)
  10. Audrito, Giorgio; Beal, Jacob; Damiani, Ferruccio; Pianini, Danilo; Viroli, Mirko: Field-based coordination with the share operator (2020)
  11. Benjamin Edward Bolling: The DynaGUI package (2020) not zbMATH
  12. Bossmann, Lea: Derivation of the 2d Gross-Pitaevskii equation for strongly confined 3d bosons (2020)
  13. Damiani, Leonardo Hax; Kosakowski, Georg; Glaus, Martin A.; Churakov, Sergey V.: A framework for reactive transport modeling using FEniCS-Reaktoro: governing equations and benchmarking results (2020)
  14. David I. Ketcheson, Hendrik Ranocha, Matteo Parsani, Umair bin Waheed, Yiannis Hadjimichael: NodePy: A package for the analysis of numerical ODE solvers (2020) not zbMATH
  15. Delecroix, Vincent; Matheus, Carlos; Moreira, Carlos Gustavo: Approximations of the Lagrange and Markov spectra (2020)
  16. Duncan N. Johnstone, Ben H. Martineau, Phillip Crout, Paul A. Midgley, Alexander S. Eggeman: Density-based clustering of crystal orientations and misorientations and the orix python library (2020) arXiv
  17. Emerson Boeira; Diego Eckhard: pyvrft: A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method (2020) not zbMATH
  18. Francesco Biscani; Dario Izzo: A parallel global multiobjective framework for optimization: pagmo (2020) not zbMATH
  19. Gimenez-Grau, Aleix; Liendo, Pedro: Bootstrapping line defects in (\mathcalN= 2) theories (2020)
  20. Guioth, Jules; Jack, Robert L.: Dynamical phase transitions for the activity biased Ising model in a magnetic field (2020)

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