Apply ruff formatting and exclude notebooks from formatting

Author: ecomodeller

pyproject.toml

@@ -73,6 +73,9 @@ notebooks = ["nbformat", "nbconvert", "jupyter", "plotly", "shapely", "seaborn"]
 "Bug Tracker" = "https://github.com/DHI/modelskill/issues"
 
 
+[tool.ruff]
+extend-exclude = ["notebooks"]
+
 [tool.ruff.lint]
 ignore = ["E501"]
 select = ["E4", "E7", "E9", "F", "D200", "D205"]

src/modelskill/comparison/_comparer_plotter.py

@@ -746,7 +746,14 @@ def taylor(
         df = df.rename(columns={"_std_obs": "obs_std", "_std_mod": "std"})
 
         pts = [
-            TaylorPoint(name=r.model, obs_std=r.obs_std, std=r.std, cc=r.cc, marker=marker, marker_size=marker_size)
+            TaylorPoint(
+                name=r.model,
+                obs_std=r.obs_std,
+                std=r.std,
+                cc=r.cc,
+                marker=marker,
+                marker_size=marker_size,
+            )
             for r in df.itertuples()
         ]
 

tests/integration/test_integration_grid.py

@@ -2,6 +2,7 @@
 import pytest
 import xarray as xr
 
+
 def test_extract_point_from_3d():
     mr = ms.GridModelResult(
         "tests/testdata/cmems_mod_med_phy-sal_anfc_4.2km-3D_PT1H-m_1705916517624.nc",
@@ -27,4 +28,4 @@ def test_extract_point_from_3d():
     sc = cmp.score()
 
     # "Observed" data is extracted from the 3D model result, so the score should be 0.0
-    assert sc["MedSea"] == pytest.approx(0.0)
+    assert sc["MedSea"] == pytest.approx(0.0)

tests/model/test_point.py

@@ -248,7 +248,6 @@ def test_point_model_result_from_nc_file():
 
 
 def test_interp_time():
-
     df = pd.DataFrame(
         {
             "WL": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0],

tests/test_consistency.py

@@ -1,4 +1,5 @@
 """Test consitency across input formats and classes"""
+
 from functools import partial
 import pytest
 import mikeio