Matplotlib

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 379 articles )

Showing results 1 to 20 of 379.
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  1. Akimitsu Ishii, Ryunosuke Kamijyo, Akinori Yamanaka, Akiyasu Yamamoto: BOXVIA: Bayesian optimization executable and visualizable application (2022) not zbMATH
  2. Alvaro J. Garcia-Tejedor, Alberto Nogales: GEMA: An open-source Python library for self-organizing-maps (2022) arXiv
  3. Gellis, Jason J.; Rangel Smith, Camila; Foley, Robert A.: PyLithics: A Python package for stone tool analysis (2022) not zbMATH
  4. Jan Košata, Javier del Pino, Toni L. Heugel, Oded Zilberberg: HarmonicBalance.jl: A Julia suite for nonlinear dynamics using harmonic balance (2022) arXiv
  5. Mastrodomenico, Rob: The Python book (2022)
  6. Oruç, Ömer: A strong-form local meshless approach based on radial basis function-finite difference (RBF-FD) method for solving multi-dimensional coupled damped Schrödinger system appearing in Bose-Einstein condensates (2022)
  7. William H. Savran; Maximilian J. Werner; Danijel Schorlemmer; Philip J. Maechling: pyCSEP: A Python Toolkit For Earthquake Forecast Developers (2022) not zbMATH
  8. Worku, Zelalem Arega; Zingg, David W.: Stability and functional superconvergence of narrow-stencil second-derivative generalized summation-by-parts discretizations (2022)
  9. Zmurchok, Cole; Holmes, William R.: Biophysical models of PAR cluster transport by cortical flow in \textitC. elegans early embryogenesis (2022)
  10. 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
  11. Adshead, Peter; Lozanov, Kaloian D.; Weiner, Zachary J.: Non-Gaussianity and the induced gravitational wave background (2021)
  12. Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo: Automatic dataset builder for Machine Learning applications to satellite imagery (2021) not zbMATH
  13. Alex M. Ganose; Amy Searle; Anubhav Jain; Sinéad M. Griffin: IFermi: A python library for Fermi surface generation and analysis (2021) not zbMATH
  14. Alfredo Mejia-Narvaez, Gustavo Bruzual, Sebastian F. Sanchez, Leticia Carigi, Jorge Barrera-Ballesteros, Mabel Valerdi, Renbin Yan, Niv Drory: CoSHA: Code for Stellar properties Heuristic Assignment - for the MaStar stellar library (2021) arXiv
  15. Andrew J. Moodie, Jayaram Hariharan, Eric Barefoot, Paola Passalacqua: pyDeltaRCM: a exible numerical delta model (2021) not zbMATH
  16. Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi: Ecole: A Library for Learning Inside MILP Solvers (2021) arXiv
  17. Apostolos Spanakis-Misirlis, Cameron L. Van Eck, E.P. Boven: Virgo: A Versatile Spectrometer for Radio Astronomy (2021) not zbMATH
  18. Arnout M.P. Boelens, Hamdi A. Tchelepi: QuantImPy: Minkowski functionals and functions with Python (2021) not zbMATH
  19. Baker, Tessa; Harrison, Ian: Constraining scalar-tensor modified gravity with gravitational waves and large scale structure surveys (2021)
  20. 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)

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