Psyplot: Interactive data analysis and visualization with Python

Détails

Ressource 1Télécharger: psyplot-presentation-EGU2018.pdf (10119.28 [Ko])
Etat: Public
Version: Final published version
Document(s) secondaire(s)
Télécharger: Abstract-EGU2018-4701.pdf (31.66 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_C7D0836D1DE8
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Sous-type
Poster: résume de manière illustrée et sur une page unique les résultats d'un projet de recherche. Les résumés de poster doivent être entrés sous "Abstract" et non "Poster".
Collection
Publications
Institution
Titre
Psyplot: Interactive data analysis and visualization with Python
Titre de la conférence
EGU General Assembly Conference Abstracts
Auteur(s)
Sommer Philipp S.
Statut éditorial
Publié
Date de publication
09/04/2018
Langue
anglais
Résumé
The development, usage and analysis of climate models often requires the visualization of the data. This
visualization should ideally be nice looking, simple in application, fast, easy reproducible and flexible. There
exist a wide range of software tools to visualize model data which however often lack in their ability of being
(easy) scriptable, have low flexibility or simply are far too complex for a quick look into the data. Therefore, we
developed the open-source visualization framework psyplot that aims to cover the visualization in the daily work
of earth system scientists working with data of the climate system. It is build (mainly) upon the python packages
matplotlib, cartopy and xarray and integrates the visualization process into data analysis. This data can either be
stored in a NetCDF, GeoTIFF, or any other format that is handled by the xarray package. Due to its interactive
nature however, it may also be used with data that is currently processed and not already stored on the hard disk.
Visualizations of rastered data on the glob are supported for rectangular grids (following or not following the CF
Conventions) or on a triangular grid (following the CF Conventions (like the earth system model ICON) or the
unstructured grid conventions (UGRID)). Furthermore, the package visualizes scalar and vector fields, enables
to easily manage and format multiple plots at the same time. Psyplot can either be used with only a few lines of
code from the command line in an interactive python session, via python scripts or from through a graphical user
interface (GUI). Finally, the framework developed in this package enables a very flexible configuration, an easy
integration into other scripts using matplotlib.
Création de la notice
01/05/2018 15:32
Dernière modification de la notice
21/08/2019 7:10
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