Minor fix to docs + bump quartodoc version

docs/user-guide/data-structures.md

@@ -2,9 +2,9 @@
 
 MIKE IO has these primary data structures: 
 
-* [**Dataset**](dataset.qmd) - a collection of DataArrays corresponding to the contents of a dfs file; typically obtained from {py:meth}`mikeio.read`
+* [**Dataset**](dataset.qmd) - a collection of DataArrays corresponding to the contents of a dfs file; typically obtained from [](`mikeio.read`)
 * [**DataArray**](dataarray.qmd) - data and metadata corresponding to one "item" in a dfs file. 
 * **Geometry** - spatial description of the data in a dfs file; comes in different flavours: 
-[Grid1D](`mikeio.Grid1D`), [Grid2D](`mikeio.Grid2D`), [Grid3D](`mikeio.Grid3D`), [GeometryFM2](`mikeio.spatial.GeometryFM2D`), [GeometryFM3D](`mikeio.spatial.GeometryFM3D`), etc. corresponding to different types of dfs files. 
+[Grid1D](`mikeio.Grid1D`), [Grid2D](`mikeio.Grid2D`), [Grid3D](`mikeio.Grid3D`), [GeometryFM2D](`mikeio.spatial.GeometryFM2D`), [GeometryFM3D](`mikeio.spatial.GeometryFM3D`), etc. corresponding to different types of dfs files. 
 * **Dfs** - an object returned by `dfs = mikeio.open()` containing the metadata (=header) of a dfs file ready for reading the data (which can be done with `dfs.read()`); exists in different specialized versions: [Dfs0](`mikeio.Dfs0`), [Dfs1](`mikeio.Dfs1`), [Dfs2](`mikeio.Dfs2`), [Dfs3](`mikeio.Dfs3`), [Dfsu2DH](`mikeio.dfsu.Dfsu2DH`), [Dfsu3D](`mikeio.dfsu.Dfsu3D`), [Dfsu2DV](`mikeio.dfsu.Dfsu2DV`), [DfsuSpectral](`mikeio.dfsu.DfsuSpectral`).
 

mikeio/dataset/_dataset.py

@@ -429,7 +429,10 @@ def n_elements(self) -> int:
         return n_elem
 
     def describe(self, **kwargs: Any) -> pd.DataFrame:
-        """Generate descriptive statistics by wrapping :py:meth:`pandas.DataFrame.describe`."""
+        """Generate descriptive statistics.
+
+        Wraps [](`pandas.DataFrame.describe`).
+        """
         data = {x.name: x.to_numpy().ravel() for x in self}
         df = pd.DataFrame(data).describe(**kwargs)
 
@@ -1067,7 +1070,7 @@ def interp_time(
     ) -> "Dataset":
         """Temporal interpolation.
 
-        Wrapper of :py:class:`scipy.interpolate.interp1d`
+        Wrapper of [](`scipy.interpolate.interp1d`).
 
         Parameters
         ----------
@@ -1090,27 +1093,18 @@ def interp_time(
 
         Examples
         --------
-        >>> ds = mikeio.read("tests/testdata/HD2D.dfsu")
-        >>> ds
-        <mikeio.Dataset>
-        Dimensions: (9, 884)
-        Time: 1985-08-06 07:00:00 - 1985-08-07 03:00:00
-        Items:
-        0:  Surface elevation <Surface Elevation> (meter)
-        1:  U velocity <u velocity component> (meter per sec)
-        2:  V velocity <v velocity component> (meter per sec)
-        3:  Current speed <Current Speed> (meter per sec)
-        >>> dsi = ds.interp_time(dt=1800)
-        >>> dsi
-        <mikeio.Dataset>
-        Dimensions: (41, 884)
-        Time: 1985-08-06 07:00:00 - 1985-08-07 03:00:00
-        Items:
-        0:  Surface elevation <Surface Elevation> (meter)
-        1:  U velocity <u velocity component> (meter per sec)
-        2:  V velocity <v velocity component> (meter per sec)
-        3:  Current speed <Current Speed> (meter per sec)
-        >>> dsi = ds.interp_time(freq='2H')
+        ```{python}
+        ds = mikeio.read("../data/HD2D.dfsu")
+        ds
+        ```
+
+        ```{python}
+        ds.interp_time(dt=1800)
+        ```
+
+        ```{python}
+        ds.interp_time(freq='2h')
+        ```
 
         """
         if freq:
@@ -1618,7 +1612,7 @@ def ptp(self, axis: int | str = 0, **kwargs: Any) -> "Dataset":
     def average(self, *, weights, axis=0, **kwargs) -> "Dataset":  # type: ignore
         """Compute the weighted average along the specified axis.
 
-        Wraps :py:meth:`numpy.average`
+        Wraps [](`numpy.average`)
 
         Parameters
         ----------

pyproject.toml

@@ -44,7 +44,7 @@ classifiers = [
 [project.optional-dependencies]
 dev = ["pytest",
        "quarto-cli",
-       "quartodoc==0.8.0",
+       "quartodoc==0.9.1",
        "shapely",
        "pyproj",
        "xarray",