xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. Our goal is to provide a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. Our approach adopts the Common Data Model for self- describing scientific data in widespread use in the Earth sciences: xarray.Dataset is an in-memory representation of a netCDF file.

References in zbMATH (referenced in 18 articles )

Showing results 1 to 18 of 18.
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  1. Amanda D. Smith, Benjamin Stürmer, Travis Thurber, Chris R. Vernon: diyepw: A Python package for Do-It-Yourself EnergyPlus weather file generation (2021) not zbMATH
  2. Qiusheng Wu: Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment (2021) not zbMATH
  3. Riley X. Brady; Aaron Spring: climpred: Verification of weather and climate forecasts (2021) not zbMATH
  4. Wu-Jung Lee, Emilio Mayorga, Landung Setiawan, Imran Majeed, Kavin Nguyen, Valentina Staneva: Echopype: A Python library for interoperable and scalable processing of water column sonar data for biological information (2021) arXiv
  5. Andrew R. Bennett; Joseph J. Hamman; Bart Nijssen: MetSim: A Python package for estimation and disaggregation of meteorological data (2020) not zbMATH
  6. Archis S. Joglekar; Matthew C. Levy: VlaPy: A Python package for Eulerian Vlasov-Poisson-Fokker-Planck Simulations (2020) not zbMATH
  7. Audrito, Giorgio; Beal, Jacob; Damiani, Ferruccio; Pianini, Danilo; Viroli, Mirko: Field-based coordination with the share operator (2020)
  8. Romain Martinez; Benjamin Michaud; Mickael Begon: pyomeca: An Open-Source Framework for Biomechanical Analysis (2020) not zbMATH
  9. Stansbury, C.; Lanzara, A.: PyARPES: An analysis framework for multimodal angle-resolved photoemission spectroscopies (2020) not zbMATH
  10. Tobias Stål, Anya M. Reading: A Grid for Multidimensional and Multivariate Spatial Representation and Data Processing (2020) not zbMATH
  11. Yunus Sevinchan; Benjamin Herdeanu; Jeremias Traub: dantro: a Python package for handling, transforming, and visualizing hierarchically structured data (2020) not zbMATH
  12. Kumar, R.; Colin, C.; Hartikainen, A.; Martin, O. A.: ArviZ a unified library for exploratory analysis of Bayesian models in Python. (2019) not zbMATH
  13. Matthieu Ancellin; Frédéric Dias: Capytaine: a Python-based linear potential flow solver (2019) not zbMATH
  14. Mattia Almansi, Renske Gelderloos, Thomas W. N. Haine, Atousa Saberi. Ali H. Siddiqui: OceanSpy: A Python package to facilitate ocean model data analysis and visualization (2019) not zbMATH
  15. Pfenninger, S., Pickering, B: Calliope: a multi-scale energy systems modelling framework (2018) not zbMATH
  16. Philipp S Sommer: The psyplot interactive visualization framework (2017) not zbMATH
  17. Andrew Dawson: eofs: A Library for EOF Analysis of Meteorological, Oceanographic, and Climate Data (2016) not zbMATH
  18. Andrew Dawson: Windspharm: A High-Level Library for Global Wind Field Computations Using Spherical Harmonics (2016) not zbMATH