pyproject.toml

[build-system]
requires = ["setuptools>=61", "wheel", "setuptools_scm[toml]>=3.4"]
build-backend = "setuptools.build_meta"

[project]
name = "xarray_data_accessor"
dynamic = ["version", "readme"]

description = "Efficiently read climate/meteorology data into Xarray using Dask for parallelization."
authors = [
    {name = "Xavier Nogueira", email = "xavier.rojas.nogueira@gmail.com"},
]

requires-python = ">=3.11"
keywords = [
    'xarray',
    'zarr',
    'gridded-data',
    'climate-data',
    'meteorology-data',
]

classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Science/Research",
    "Operating System :: OS Independent",
    "License :: OSI Approved :: BSD License",
    "Programming Language :: Python",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering",
]

dependencies = [
    'xarray',
    'pandas',
    'xarray',
    'rioxarray',
    'dask',
    'geopandas',
    'cdsapi',
    'fsspec',
    's3fs',
    'cfgrib',
    'eccodes',
    'pyarrow',
    'zarr',
    'h5netcdf',
    'openpyxl',
]

[project.urls]
homepage = "https://github.com/LimnoTech/Xarray-DataAccessor"
repository = "https://github.com/LimnoTech/Xarray-DataAccessor"

[tool.setuptools.packages.find]
where = ["src"]
include = ["xarray_data_accessor*"]

[tool.setuptools.dynamic]
version = {attr = "xarray_data_accessor.__version__"}
readme = {file = "README.md"}