xarray

E459722

xarray is an open-source Python library that provides labeled, N-dimensional arrays and datasets for more intuitive and efficient analysis of multi-dimensional scientific data.

All labels observed (2)

Label Occurrences
Xarray 1
xarray canonical 1

How this entity was disambiguated

Statements (81)

Predicate Object
instanceOf Python library ⓘ
data analysis library ⓘ
open-source software ⓘ
category data science ⓘ
geospatial data processing ⓘ
scientific computing ⓘ
compatibleWith Cartopy ⓘ
Dask ⓘ
Matplotlib ⓘ
NumPy ⓘ
SciPy ⓘ
pandas ⓘ
documentationURL https://docs.xarray.dev ⓘ
enables efficient analysis of multi-dimensional data ⓘ
intuitive analysis of multi-dimensional data ⓘ
hostedOn GitHub ⓘ
inspiredBy netCDF data model ⓘ
linked to: NetCDF

pandas ⓘ
license Apache License 2.0 ⓘ
maintainedBy PyData community ⓘ
xarray developers ⓘ
partOf PyData ecosystem ⓘ
programmingLanguage Python ⓘ
provides datasets abstraction ⓘ
labeled N-dimensional arrays ⓘ
repositoryURL https://github.com/pydata/xarray ⓘ
supports N-dimensional arrays ⓘ
labeled arrays ⓘ
labeled datasets ⓘ
multi-dimensional scientific data ⓘ
supportsBackend HDF5 via netCDF4 ⓘ
Pydap ⓘ
linked to: OPeNDAP

SciDB ⓘ
Zarr ⓘ
cfgrib ⓘ
h5netcdf ⓘ
netCDF4 ⓘ
linked to: NetCDF

rasterio ⓘ
supportsComputation Fourier transforms via integration with SciPy ⓘ
aggregation operations ⓘ
interpolation ⓘ
regridding via external libraries ⓘ
supportsDataStructure Coordinates ⓘ
DataArray ⓘ
Dataset ⓘ
Variable ⓘ
supportsDimensionType latitude ⓘ
level ⓘ
longitude ⓘ
time ⓘ
supportsFeature CF-compliant metadata handling ⓘ
broadcasting ⓘ
coordinate-based indexing ⓘ
groupby operations ⓘ
label-based indexing ⓘ
lazy evaluation with Dask ⓘ
metadata preservation ⓘ
missing data handling ⓘ
out-of-core computation ⓘ
parallel computation ⓘ
resampling ⓘ
rolling window operations ⓘ
vectorized operations ⓘ
supportsIndexing isel ⓘ
loc-like indexing ⓘ
sel ⓘ
supportsIOFormat GRIB via cfgrib ⓘ
GeoTIFF via rasterio ⓘ
HDF5 via netCDF4 ⓘ
NetCDF ⓘ
OPeNDAP ⓘ
Zarr ⓘ
supportsLanguage Python ⓘ
supportsPlotting facet plots ⓘ
quicklook plots via Matplotlib ⓘ
usedIn climate science ⓘ
environmental science ⓘ
geosciences ⓘ
meteorology ⓘ
oceanography ⓘ
remote sensing ⓘ

How these facts were elicited

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

NumFOCUS → supportsProject → Xarray ⓘ
linked to: xarray