Add _create_data_array methods on Ugrid, add from_data on UgridDataAr…

…ray. Replaced @abstractproperty, @abstractstaticmethod, add self to these abstract methods. Slight robustness fix on earcut tests.

docs/api.rst

@@ -44,6 +44,7 @@ UgridDataArray
     UgridDataArray
     UgridDataArray.ugrid
     UgridDataArray.from_structured
+    UgridDataArray.from_data
 
 UgridDataset
 ------------
@@ -232,6 +233,8 @@ UGRID1D Topology
     Ugrid1d.from_geodataframe
     Ugrid1d.from_shapely
     Ugrid1d.to_shapely
+
+    Ugrid1d.create_data_array
 
     Ugrid1d.plot
 
@@ -338,6 +341,8 @@ UGRID2D Topology
     Ugrid2d.to_shapely
     Ugrid2d.earcut_triangulate_polygons
 
+    Ugrid2d.create_data_array
+
     Ugrid2d.plot
 
 UGRID Roles Accessor

docs/changelog.rst

@@ -27,6 +27,10 @@ Added
 
 - Included ``edge_node_connectivity`` in :meth:`xugrid.Ugrid2d.from_meshkernel`, 
   so the ordering of edges is consistent with ``meshkernel``.
+- Added :meth:`xugrid.Ugrid1d.create_data_array`,
+  :meth:`xugrid.Ugrid2d.create_data_array`, and
+  :meth:`xugrid.UgridDataArray.from_data` to more easily instantiate a
+  UgridDataArray from a grid topology and an array of values.
 
 Changed
 ~~~~~~~

pyproject.toml

@@ -66,7 +66,6 @@ profile = "black"
 exclude_lines = [
     "pragma: no cover",
     "@abc.abstractmethod",
-    "@abc.abstractproperty",
 ]
 
 [tool.pixi.project]

tests/test_ugrid1d.py

@@ -455,3 +455,25 @@ def test_equals():
     grid_copy.attrs["attr"] = "something_else"
     # Dataset.identical is called so returns False
     assert not grid.equals(grid_copy)
+
+
+def test_ugrid1d_create_data_array():
+    grid = grid1d()
+
+    uda = grid.create_data_array(np.zeros(grid.n_node), facet="node")
+    assert isinstance(uda, xugrid.UgridDataArray)
+
+    uda = grid.create_data_array(np.zeros(grid.n_edge), facet="edge")
+    assert isinstance(uda, xugrid.UgridDataArray)
+
+    # Error on facet
+    with pytest.raises(ValueError, match="Invalid facet"):
+        grid.create_data_array([1, 2, 3], facet="face")
+
+    # Error on on dimensions
+    with pytest.raises(ValueError, match="Can only create DataArrays from 1D arrays"):
+        grid.create_data_array([[1, 2, 3]], facet="node")
+
+    # Error on size
+    with pytest.raises(ValueError, match="Conflicting sizes"):
+        grid.create_data_array([1, 2, 3, 4], facet="node")

tests/test_ugrid2d.py

@@ -1464,11 +1464,36 @@ def test_earcut_triangulate_polygons():
 
     grid = xugrid.Ugrid2d.earcut_triangulate_polygons(polygons=gdf)
     assert isinstance(grid, xugrid.Ugrid2d)
-    assert grid.n_face == 7
+    assert np.allclose(polygon.area, grid.area.sum())
 
     grid, index = xugrid.Ugrid2d.earcut_triangulate_polygons(
         polygons=gdf, return_index=True
     )
     assert isinstance(grid, xugrid.Ugrid2d)
     assert isinstance(index, np.ndarray)
-    assert np.array_equal(index, np.zeros(7, dtype=int))
+    assert (index == 0).all()
+
+
+def test_ugrid2d_create_data_array():
+    grid = grid2d()
+
+    uda = grid.create_data_array(np.zeros(grid.n_node), facet="node")
+    assert isinstance(uda, xugrid.UgridDataArray)
+
+    uda = grid.create_data_array(np.zeros(grid.n_edge), facet="edge")
+    assert isinstance(uda, xugrid.UgridDataArray)
+
+    uda = grid.create_data_array(np.zeros(grid.n_face), facet="face")
+    assert isinstance(uda, xugrid.UgridDataArray)
+
+    # Error on facet
+    with pytest.raises(ValueError, match="Invalid facet"):
+        grid.create_data_array([1, 2, 3, 4], facet="volume")
+
+    # Error on on dimensions
+    with pytest.raises(ValueError, match="Can only create DataArrays from 1D arrays"):
+        grid.create_data_array([[1, 2, 3, 4]], facet="face")
+
+    # Error on size
+    with pytest.raises(ValueError, match="Conflicting sizes"):
+        grid.create_data_array([1, 2, 3, 4, 5], facet="face")

tests/test_ugrid_dataset.py

@@ -123,6 +123,11 @@ def test_init(self):
         assert isinstance(self.uda.ugrid.grid, xugrid.Ugrid2d)
         assert self.uda.grid.face_dimension in self.uda.coords
 
+    def test_from_data(self):
+        grid = self.uda.ugrid.grid
+        uda = xugrid.UgridDataArray.from_data(np.zeros(grid.n_node), grid, facet="node")
+        assert isinstance(uda, xugrid.UgridDataArray)
+
     def test_reinit_error(self):
         # Should not be able to initialize using a UgridDataArray.
         with pytest.raises(TypeError, match="obj must be xarray.DataArray"):

xugrid/core/accessorbase.py

@@ -9,63 +9,69 @@
 
 class AbstractUgridAccessor(abc.ABC):
     @abc.abstractmethod
-    def to_dataset():
+    def to_dataset(self):
         pass
 
     @abc.abstractmethod
-    def assign_node_coords():
+    def assign_node_coords(self):
         pass
 
     @abc.abstractmethod
-    def set_node_coords():
+    def set_node_coords(self):
         pass
 
-    @abc.abstractproperty
-    def crs():
+    @property
+    @abc.abstractmethod
+    def crs(self):
         pass
 
     @abc.abstractmethod
-    def set_crs():
+    def set_crs(self):
         pass
 
     @abc.abstractmethod
-    def to_crs():
+    def to_crs(self):
         pass
 
     @abc.abstractmethod
-    def sel():
+    def sel(self):
         pass
 
     @abc.abstractmethod
-    def sel_points():
+    def sel_points(self):
         pass
 
     @abc.abstractmethod
-    def intersect_line():
+    def intersect_line(self):
         pass
 
     @abc.abstractmethod
-    def intersect_linestring():
+    def intersect_linestring(self):
         pass
 
-    @abc.abstractproperty
-    def bounds():
+    @property
+    @abc.abstractmethod
+    def bounds(self):
         pass
 
-    @abc.abstractproperty
-    def total_bounds():
+    @property
+    @abc.abstractmethod
+    def total_bounds(self):
         pass
 
-    @abc.abstractproperty
-    def name():
+    @property
+    @abc.abstractmethod
+    def name(self):
         pass
 
-    @abc.abstractproperty
-    def names():
+    @property
+    @abc.abstractmethod
+    def names(self):
         pass
 
-    @abc.abstractproperty
-    def topology():
+    @property
+    @abc.abstractmethod
+    def topology(self):
         pass
 
     @staticmethod

xugrid/core/wrap.py

@@ -12,6 +12,7 @@
 from typing import List, Sequence, Union
 
 import xarray as xr
+from numpy.typing import ArrayLike
 from pandas import RangeIndex
 
 import xugrid
@@ -285,6 +286,28 @@ def from_structured(
         )
         return UgridDataArray(face_da, grid)
 
+    @staticmethod
+    def from_data(data: ArrayLike, grid: UgridType, facet: str) -> UgridDataArray:
+        """
+        Create a UgridDataArray from a grid and a 1D array of values.
+
+        Parameters
+        ----------
+        data: array like
+            Values for this array. Must be a ``numpy.ndarray`` or castable to
+            it.
+        grid: Ugrid1d, Ugrid2d
+        facet: str
+            With which facet to associate the data. Options for Ugrid1d are,
+            ``"node"`` or ``"edge"``. Options for Ugrid2d are ``"node"``,
+            ``"edge"``, or ``"face"``.
+
+        Returns
+        -------
+        uda: UgridDataArray
+        """
+        return grid.create_data_array(data=data, facet=facet)
+
 
 class UgridDataset(DatasetForwardMixin):
     def __init__(

xugrid/ugrid/ugrid1d.py

@@ -4,7 +4,9 @@
 import numpy as np
 import pandas as pd
 import xarray as xr
+from numpy.typing import ArrayLike
 
+import xugrid
 from xugrid import conversion
 from xugrid.constants import (
     BoolArray,
@@ -709,3 +711,34 @@ def reindex_like(
             ),
         }
         return obj.isel(indexers, missing_dims="ignore")
+
+    def create_data_array(self, data: ArrayLike, facet: str) -> "xugrid.UgridDataArray":
+        """
+        Create a UgridDataArray from this grid and a 1D array of values.
+
+        Parameters
+        ----------
+        data: array like
+            Values for this array. Must be a ``numpy.ndarray`` or castable to
+            it.
+        grid: Ugrid1d, Ugrid2d
+        facet: str
+            With which facet to associate the data. Options for Ugrid1d are,
+            ``"node"`` or ``"edge"``. Options for Ugrid2d are ``"node"``,
+            ``"edge"``, or ``"face"``.
+
+        Returns
+        -------
+        uda: UgridDataArray
+        """
+        match facet:
+            case "node":
+                dimension = self.node_dimension
+            case "edge":
+                dimension = self.edge_dimension
+            case _:
+                raise ValueError(
+                    f"Invalid facet: {facet}. Must be one of: node, edge face."
+                )
+
+        return self._create_data_array(data, dimension)

xugrid/ugrid/ugrid2d.py

@@ -7,6 +7,7 @@
 import pandas as pd
 import xarray as xr
 from numba_celltree import CellTree2d
+from numpy.typing import ArrayLike
 from scipy.sparse import coo_matrix, csr_matrix
 from scipy.sparse.csgraph import reverse_cuthill_mckee
 
@@ -2243,3 +2244,36 @@ def _bbox_area(bounds):
         collection = shapely.polygonize(shapely.linestrings(edges))
         polygon = max(collection.geoms, key=lambda x: _bbox_area(x.bounds))
         return polygon
+
+    def create_data_array(self, data: ArrayLike, facet: str) -> "xugrid.UgridDataArray":
+        """
+        Create a UgridDataArray from this grid and a 1D array of values.
+
+        Parameters
+        ----------
+        data: array like
+            Values for this array. Must be a ``numpy.ndarray`` or castable to
+            it.
+        grid: Ugrid1d, Ugrid2d
+        facet: str
+            With which facet to associate the data. Options for Ugrid1d are,
+            ``"node"`` or ``"edge"``. Options for Ugrid2d are ``"node"``,
+            ``"edge"``, or ``"face"``.
+
+        Returns
+        -------
+        uda: UgridDataArray
+        """
+        match facet:
+            case "node":
+                dimension = self.node_dimension
+            case "edge":
+                dimension = self.edge_dimension
+            case "face":
+                dimension = self.face_dimension
+            case _:
+                raise ValueError(
+                    f"Invalid facet: {facet}. Must be one of: node, edge face."
+                )
+
+        return self._create_data_array(data, dimension)