Delete built-in rasterio backend

ci/install-upstream-wheels.sh

@@ -14,7 +14,6 @@ conda uninstall -y --force \
     fsspec \
     zarr \
     cftime \
-    rasterio \
     packaging \
     pint \
     bottleneck \
@@ -39,7 +38,6 @@ python -m pip install \
     git+https://github.com/dask/distributed \
     git+https://github.com/zarr-developers/zarr \
     git+https://github.com/Unidata/cftime \
-    git+https://github.com/rasterio/rasterio \
     git+https://github.com/pypa/packaging \
     git+https://github.com/hgrecco/pint \
     git+https://github.com/pydata/bottleneck \

doc/api.rst

@@ -595,7 +595,6 @@ Dataset methods
    load_dataset
    open_dataset
    open_mfdataset
-   open_rasterio
    open_zarr
    save_mfdataset
    Dataset.as_numpy
@@ -1054,7 +1053,6 @@ Tutorial
    :toctree: generated/
 
    tutorial.open_dataset
-   tutorial.open_rasterio
    tutorial.load_dataset
 
 Testing

doc/conf.py

@@ -49,21 +49,12 @@
 
     matplotlib.use("Agg")
 
-try:
-    import rasterio  # noqa: F401
-except ImportError:
-    allowed_failures.update(
-        ["gallery/plot_rasterio_rgb.py", "gallery/plot_rasterio.py"]
-    )
-
 try:
     import cartopy  # noqa: F401
 except ImportError:
     allowed_failures.update(
         [
             "gallery/plot_cartopy_facetgrid.py",
-            "gallery/plot_rasterio_rgb.py",
-            "gallery/plot_rasterio.py",
         ]
     )
 
@@ -331,7 +322,6 @@
     "matplotlib": ("https://matplotlib.org/stable/", None),
     "dask": ("https://docs.dask.org/en/latest", None),
     "cftime": ("https://unidata.github.io/cftime", None),
-    "rasterio": ("https://rasterio.readthedocs.io/en/latest", None),
     "sparse": ("https://sparse.pydata.org/en/latest/", None),
 }
 

doc/getting-started-guide/installing.rst

@@ -41,8 +41,6 @@ For netCDF and IO
 - `PseudoNetCDF <http://github.com/barronh/pseudonetcdf/>`__: recommended
   for accessing CAMx, GEOS-Chem (bpch), NOAA ARL files, ICARTT files
   (ffi1001) and many other.
-- `rasterio <https://github.com/rasterio/rasterio>`__: for reading GeoTiffs and
-  other gridded raster datasets.
 - `iris <https://github.com/scitools/iris>`__: for conversion to and from iris'
   Cube objects
 - `cfgrib <https://github.com/ecmwf/cfgrib>`__: for reading GRIB files via the

doc/user-guide/io.rst

@@ -1157,46 +1157,7 @@ search indices or other automated data discovery tools.
 Rasterio
 --------
 
-GeoTIFFs and other gridded raster datasets can be opened using `rasterio`_, if
-rasterio is installed. Here is an example of how to use
-:py:func:`open_rasterio` to read one of rasterio's `test files`_:
-
-.. deprecated:: 0.20.0
-
-        Deprecated in favor of rioxarray.
-        For information about transitioning, see:
-        `rioxarray getting started docs<https://corteva.github.io/rioxarray/stable/getting_started/getting_started.html>``
-
-.. ipython::
-    :verbatim:
-
-    In [7]: rio = xr.open_rasterio("RGB.byte.tif")
-
-    In [8]: rio
-    Out[8]:
-    <xarray.DataArray (band: 3, y: 718, x: 791)>
-    [1703814 values with dtype=uint8]
-    Coordinates:
-      * band     (band) int64 1 2 3
-      * y        (y) float64 2.827e+06 2.826e+06 2.826e+06 2.826e+06 2.826e+06 ...
-      * x        (x) float64 1.021e+05 1.024e+05 1.027e+05 1.03e+05 1.033e+05 ...
-    Attributes:
-        res:        (300.0379266750948, 300.041782729805)
-        transform:  (300.0379266750948, 0.0, 101985.0, 0.0, -300.041782729805, 28...
-        is_tiled:   0
-        crs:        +init=epsg:32618
-
-
-The ``x`` and ``y`` coordinates are generated out of the file's metadata
-(``bounds``, ``width``, ``height``), and they can be understood as cartesian
-coordinates defined in the file's projection provided by the ``crs`` attribute.
-``crs`` is a PROJ4 string which can be parsed by e.g. `pyproj`_ or rasterio.
-See :ref:`/examples/visualization_gallery.ipynb#Parsing-rasterio-geocoordinates`
-for an example of how to convert these to longitudes and latitudes.
-
-
-Additionally, you can use `rioxarray`_ for reading in GeoTiff, netCDF or other
-GDAL readable raster data using `rasterio`_ as well as for exporting to a geoTIFF.
+GDAL readable raster data using `rasterio`_  such as GeoTIFFs can be opened using the `rioxarray`_ extension.
 `rioxarray`_ can also handle geospatial related tasks such as re-projecting and clipping.
 
 .. ipython::

doc/whats-new.rst

@@ -26,7 +26,8 @@ New Features
 
 Breaking changes
 ~~~~~~~~~~~~~~~~
-
+- Remove deprecated rasterio backend in favor of rioxarray  (:pull:`7392`).
+  By `Scott Henderson <https://github.com/scottyhq>`_.
 
 Deprecations
 ~~~~~~~~~~~~

pyproject.toml

@@ -57,7 +57,6 @@ module = [
   "PseudoNetCDF.*",
   "pydap.*",
   "pytest.*",
-  "rasterio.*",
   "scipy.*",
   "seaborn.*",
   "setuptools",

setup.cfg

@@ -88,7 +88,6 @@ io =
     zarr
     fsspec
     cftime
-    rasterio
     cfgrib
     pooch
     ## Scitools packages & dependencies (e.g: cartopy, cf-units) can be hard to install

xarray/__init__.py

@@ -7,7 +7,6 @@
     open_mfdataset,
     save_mfdataset,
 )
-from xarray.backends.rasterio_ import open_rasterio
 from xarray.backends.zarr import open_zarr
 from xarray.coding.cftime_offsets import cftime_range, date_range, date_range_like
 from xarray.coding.cftimeindex import CFTimeIndex
@@ -85,7 +84,6 @@
     "open_dataarray",
     "open_dataset",
     "open_mfdataset",
-    "open_rasterio",
     "open_zarr",
     "polyval",
     "register_dataarray_accessor",