pandas

pandas: a Foundational Python Library for Data Analysis and Statistics. In this paper we will discuss pandas, a Python library of rich data structures and tools for working with structured data sets common to statistics, finance, social sciences, and many other fields. The library provides integrated, intuitive routines for performing common data manipulations and analysis on such data sets. It aims to be the foundational layer for the future of statistical computing in Python. It serves as a strong complement to the existing scientific Python stack while implementing and improving upon the kinds of data manipulation tools found in other statistical programming languages such as R. In addition to detailing its design and features of pandas, we will discuss future avenues of work and growth opportunities for statistics and data analysis applications in the Python language


References in zbMATH (referenced in 74 articles )

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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. Johannes N. Hansen: nd - A Framework for the Analysis of n-dimensional Earth Observation Data (2022) not zbMATH
  5. Tomer Meir, Rom Gutman, Malka Gorfine: PyDTS: A Python Package for Discrete Time Survival Analysis with Competing Risks (2022) arXiv
  6. 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
  7. Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo: Automatic dataset builder for Machine Learning applications to satellite imagery (2021) not zbMATH
  8. 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
  9. Andrea Bizzego, Mengyu Lim, Gianluca Esposito: mics-library: A Python package for reproducible studies on the Multiple Indicator Cluster Survey (2021) not zbMATH
  10. Carmichael, Iain; Calhoun, Benjamin C.; Hoadley, Katherine A.; Troester, Melissa A.; Geradts, Joseph; Couture, Heather D.; Olsson, Linnea; Perou, Charles M.; Niethammer, Marc; Hannig, Jan; Marron, J. S.: Joint and individual analysis of breast cancer histologic images and genomic covariates (2021)
  11. Changjie Chen, Jasmeet Judge, David Hulse: PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis (2021) arXiv
  12. Chathika Gunaratne, Ivan Garibay: NL4Py: Agent-based modeling in Python with parallelizable NetLogo workspaces (2021) not zbMATH
  13. Derrick J.A. Chambers; M. Shawn Boltz; Calum J. Chamberlain: ObsPlus: A Pandas-centric ObsPy expansion pack (2021) not zbMATH
  14. Dmitry Soshnikov, Yana Valieva: mPyPl: Python Monadic Pipeline Library for Complex Functional Data Processing (2021) arXiv
  15. Garyfallidis et al.: FURY: advanced scientific visualization (2021) not zbMATH
  16. Haan, Sebastian: GeoBO: Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences (2021) not zbMATH
  17. Hyemin Han: BayesFactorFMRI: Implementing Bayesian Second-Level fMRI Analysis with Multiple Comparison Correction and Bayesian Meta-Analysis of fMRI Images with Multiprocessing (2021) not zbMATH
  18. James D. Gaboardi, Sergio Rey, Stefanie Lumnitz: spaghetti: spatial network analysis in PySAL (2021) not zbMATH
  19. Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Zinovyev: Scikit-dimension: a Python package for intrinsic dimension estimation (2021) arXiv
  20. Justin Shenk, Wolf Byttner, Saranraj Nambusubramaniyan, Alexander Zoeller: Traja: A Python toolbox for animal trajectory analysis (2021) not zbMATH

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