unpinned xarray and updated code for new versions of xarray and geopandas

hydromt/gis_utils.py

@@ -2,6 +2,7 @@
 # -*- coding: utf-8 -*-
 
 """GIS related convenience functions."""
+
 from __future__ import annotations
 
 import glob
@@ -204,7 +205,7 @@ def filter_gdf(gdf, geom=None, bbox=None, crs=None, predicate="intersects"):
         elif gdf.crs is not None and geom.crs != gdf.crs:
             geom = geom.to_crs(gdf.crs)
         # convert geopandas to geometry
-        geom = geom.unary_union
+        geom = geom.union_all()
     idx = np.sort(gdf.sindex.query(geom, predicate=predicate))
     return idx
 

hydromt/io.py

@@ -1,4 +1,5 @@
 """Implementations for all of pythe necessary IO for HydroMT."""
+
 import glob
 import io as pyio
 import logging
@@ -631,9 +632,11 @@ def open_vector(
             bbox_reader = gis_utils.bbox_from_file_and_filters(
                 str(fn), bbox_shapely, geom, crs
             )
-            gdf = read_dataframe(str(fn), bbox=bbox_reader, mode=mode, **kwargs)
+            gdf = read_dataframe(str(fn), bbox=bbox_reader, **kwargs)
         else:
-            gdf = gpd.read_file(str(fn), bbox=bbox, mask=geom, mode=mode, **kwargs)
+            if isinstance(bbox, list):
+                bbox = tuple(bbox)
+            gdf = gpd.read_file(str(fn), bbox=bbox, mask=geom, **kwargs)
 
     # check geometry type
     if assert_gtype is not None:

hydromt/models/model_grid.py

@@ -439,7 +439,6 @@ def write_grid(
 
 
 class GridModel(GridMixin, Model):
-
     """Model class Grid Model for gridded models in HydroMT."""
 
     _CLI_ARGS = {"region": "setup_grid"}
@@ -583,7 +582,7 @@ def setup_grid(
                     )
                 )
             else:  # rotated
-                geomu = geom.unary_union
+                geomu = geom.union_all()
                 x0, y0, mmax, nmax, rot = workflows.grid.rotated_grid(
                     geomu, res, dec_origin=dec_origin, dec_rotation=dec_rotation
                 )

hydromt/vector.py

@@ -1,4 +1,5 @@
 """Implementation of the vector workloads."""
+
 from __future__ import annotations
 
 import logging
@@ -20,7 +21,6 @@
 
 
 class GeoBase(raster.XGeoBase):
-
     """Base accessor class for geo data."""
 
     def __init__(self, xarray_obj) -> None:
@@ -332,7 +332,7 @@ def update_geometry(
                 geom_name = self.attrs.get("geom_name", "geometry")
             elif self.geom_name != geom_name:
                 drop_vars.append(self.geom_name)
-            coords = {geom_name: (index_dim, geometry.values)}
+            coords = {geom_name: (index_dim, geometry.values.to_numpy())}
         elif geom_format == "wkt":
             if geom_name is None:
                 geom_name = self.attrs.get("geom_name", "ogc_wkt")
@@ -663,7 +663,6 @@ def to_netcdf(
 
 @xr.register_dataarray_accessor("vector")
 class GeoDataArray(GeoBase):
-
     """Accessor class for vector based geo data arrays."""
 
     def __init__(self, xarray_obj):
@@ -836,7 +835,6 @@ def from_netcdf(
 
 @xr.register_dataset_accessor("vector")
 class GeoDataset(GeoBase):
-
     """Implementation for a vectorased geo dataset."""
 
     def __init__(self, xarray_obj):

pyproject.toml

@@ -38,7 +38,7 @@ dependencies = [
   "tomli",                  # parsing toml files
   "tomli-w",                # writing toml files
   "universal_pathlib>=0.2", # provides path compatability between different filesystems
-  "xarray==2024.3.0",       # ndim data arrays
+  "xarray",                  # ndim data arrays
   "xmltodict",              # xml parser also used to read VRT
   "zarr",                   # zarr
 ]

tests/test_io.py

@@ -20,9 +20,7 @@
 from hydromt import _compat, raster
 
 
-@pytest.mark.parametrize("engine", ["fiona", "pyogrio"])
-def test_open_vector(engine, tmpdir, df, geodf, world):
-    gpd.io_engine = engine
+def test_open_vector(tmpdir, df, geodf, world):
     fn_csv = str(tmpdir.join("test.csv"))
     fn_parquet = str(tmpdir.join("test.parquet"))
     fn_xy = str(tmpdir.join("test.xy"))
@@ -100,7 +98,7 @@ def test_open_vector(engine, tmpdir, df, geodf, world):
 def test_open_vector_s3(geodf: gpd.GeoDataFrame):
     m = MagicMock()
     m.return_value = geodf
-    with patch("geopandas.io.file._read_file_fiona", m):
+    with patch("geopandas.io.file._read_file_pyogrio", m):
         df = hydromt.open_vector(UPath("s3://fake_url/file.geojson"))
     assert np.all(geodf == df)