Árbore:
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B. Watson
aec6fd3223
gis/python3-xarray: Wrap README at 72 columns.
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| README | aec6fd3223 gis/python3-xarray: Wrap README at 72 columns. | %!s(int64=2) %!d(string=hai) anos |
| python3-xarray.SlackBuild | 07262d6485 gis/python3-xarray: renamed from python/xarray and updated for version 2022.03.0 | %!s(int64=2) %!d(string=hai) anos |
| python3-xarray.info | 07262d6485 gis/python3-xarray: renamed from python/xarray and updated for version 2022.03.0 | %!s(int64=2) %!d(string=hai) anos |
| slack-desc | 07262d6485 gis/python3-xarray: renamed from python/xarray and updated for version 2022.03.0 | %!s(int64=2) %!d(string=hai) anos |
README
xarray 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.
The 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.
bring the labeled data power of pandas to the physical sciences, by
providing N-dimensional variants of the core pandas data structures.
The 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.