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 109 articles )

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  1. Andreas F. Haselsteiner; Jannik Lehmkuhl; Tobias Pape; Kai-Lukas Windmeier; Klaus-Dieter Thoben: ViroCon: A software to compute multivariate extremes using the environmental contour method (2019) not zbMATH
  2. Michael Slugocki , Allison B. Sekuler, Patrick Bennett: BayesFit: A tool for modeling psychophysical data using Bayesian inference (2019) not zbMATH
  3. Benyuan Liu; Bin Yang; Canhua Xu; Junying Xia; Meng Dai; Zhenyu Ji; Fusheng You; Xiuzhen Dong; Xuetao Shi; Feng Fu: pyEIT: A python based framework for Electrical Impedance Tomography (2018) not zbMATH
  4. Brendon Brewer; Daniel Foreman-Mackey: DNest4: Diffusive Nested Sampling in C++ and Python (2018) not zbMATH
  5. Catherine Zucker; Hope How-Huan Chen: RadFil: a Python Package for Building and Fitting Radial Profiles for Interstellar Filaments (2018) arXiv
  6. Collin J. Wilkinson, Yihong Z. Mauro, John C. Mauro: RelaxPy: Python code for modeling of glass relaxation behavior (2018) not zbMATH
  7. Crean, Jared; Hicken, Jason E.; Del Rey Fernández, David C.; Zingg, David W.; Carpenter, Mark H.: Entropy-stable summation-by-parts discretization of the Euler equations on general curved elements (2018)
  8. Daniel M. Faes: Use of Python programming language in astronomy and science (2018) arXiv
  9. D.M. Straub: flavio: a Python package for flavour and precision phenomenology in the Standard Model and beyond (2018) arXiv
  10. Flam-Shepherd, R., Britto, D.T., Kronzucker, H.J: vaCATE: A Platform for Automating Data Output from Compartmental Analysis by Tracer Efflux (2018) not zbMATH
  11. Guedj, Benjamin; Desikan, Bhargav Srinivasa: Pycobra: a Python toolbox for ensemble learning and visualisation (2018)
  12. Guillaume Baudart, Martin Hirzel, Kiran Kate, Louis Mandel, Avraham Shinnar: Yaps: Python Frontend to Stan (2018) arXiv
  13. Héléna Alexandra Gaspar: ugtm: A Python Package for Data Modeling and Visualization Using Generative Topographic Mapping (2018) not zbMATH
  14. Herrmann, Lukas; Lang, Annika; Schwab, Christoph: Numerical analysis of lognormal diffusions on the sphere (2018)
  15. Heusser, Andrew C.; Ziman, Kirsten; Owen, Lucy L. W.; Manning, Jeremy R.: Hypertools: a Python toolbox for gaining geometric insights into high-dimensional data (2018)
  16. Ignatiev, Alexey; Morgado, Antonio; Marques-Silva, Joao: PySAT: A Python toolkit for prototyping with SAT oracles (2018)
  17. Jason Laura; Kelvin Rodriguez; Adam C. Paquette; Evin Dunn: AutoCNet: A Python library for sparse multi-image correspondence identification for planetary data (2018) not zbMATH
  18. Lalescu, Cristian C.; Wilczek, Michael: Acceleration statistics of tracer particles in filtered turbulent fields (2018)
  19. Matsypura, Dmytro; Prokopyev, Oleg A.; Zahar, Aizat: Wildfire fuel management: network-based models and optimization of prescribed burning (2018)
  20. Minjie Zhu, Frank McKenna, Michael H. Scott: OpenSeesPy: Python library for the OpenSees finite element framework (2018) not zbMATH

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