IN11C-1790
Get More from Your Data with PyFerret
Monday, 14 December 2015
Poster Hall (Moscone South)
Eugene Francis Burger1, Karl Matthew Smith2, Ansley Manke1 and Steve Hankin1, (1)NOAA Seattle, Seattle, WA, United States, (2)JISAO, Univ. of Washington, Seattle, WA, United States
Abstract:
Ferret is an interactive scientific visualization and analysis environment designed to meet the needs of oceanographers and meteorologists analyzing large and complex gridded data sets. PyFerret is a Python module, as well as a stand-alone program, that extends all the Ferret functionality for Python programmers. For users of traditional Ferret, PyFerret can be used as a backward-compatible, “drop-in” replacement for traditional Ferret, but with improved visualization tools, more powerful data analysis, and easier generation of user-defined functions. For Python users, PyFerret permits convenient, powerful, and efficient analyses of large datasets, whether local or remote. Combining Python with Ferret multiplies the strengths of each environment, so that one can more easily access, analyze, and visualize self-describing data.