xray 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: xray.Dataset is an in-memory representation of a netCDF file.
There are no reported vulnerabilities
30 Day SummaryAug 20 2019 — Sep 19 2019
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12 Month SummarySep 19 2018 — Sep 19 2019
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