diff --git a/cf/test/test_DimensionCoordinate.py b/cf/test/test_DimensionCoordinate.py
index 19cf90fa3d..67dc932bff 100644
--- a/cf/test/test_DimensionCoordinate.py
+++ b/cf/test/test_DimensionCoordinate.py
@@ -808,7 +808,6 @@ def test_DimensionCoordinate_anchor(self):
         e = d.anchor(15, cell=True)
         self.assertEqual(e[0].array, d[0].array - 360)
 
-
     def test_DimensionCoordinate_direction(self):
         """Test DimensionCoordinate.direction"""
         d = self.dim.copy()
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 24bf834ed0..eaaf3da986 100755
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -22,7 +22,6 @@
 
 import cf
 
-
 print("\ncf environment:")
 print("-----------------")
 cf.environment()
@@ -392,7 +391,9 @@ def _get_date():
     "inspect_global_variables": True,
     "within_subsection_order": FileNameSortKey,
     "default_thumb_file": "_static/logo.svg",
-    "image_scrapers": ("matplotlib",),  # Ensures Matplotlib images are captured
+    "image_scrapers": (
+        "matplotlib",
+    ),  # Ensures Matplotlib images are captured
     "plot_gallery": "True",  # Enables plot rendering
     "reset_modules": ("matplotlib",),  # Helps with memory management
     "capture_repr": (),
diff --git a/docs/source/recipes/plot_08_recipe.py b/docs/source/recipes/plot_08_recipe.py
index 63427f62a7..b23b8969ce 100644
--- a/docs/source/recipes/plot_08_recipe.py
+++ b/docs/source/recipes/plot_08_recipe.py
@@ -3,6 +3,8 @@
 ====================================================================
 
 In this recipe, we will analyse and plot temperature trends from the HadCRUT.5.0.1.0 dataset for two different time periods. The plotted maps also include stippling, which is used to highlight areas where the temperature trends are statistically significant.
+
+isort:skip_file
 """
 
 # %%
diff --git a/docs/source/recipes/plot_12_recipe.py b/docs/source/recipes/plot_12_recipe.py
index b09db0b29f..97059efa19 100644
--- a/docs/source/recipes/plot_12_recipe.py
+++ b/docs/source/recipes/plot_12_recipe.py
@@ -8,6 +8,7 @@
 to plot the `high-quality` retrieval of Aerosol Optical Depth (AOD) from all other
 retrievals.
 
+isort:skip_file
 """
 
 # %%
diff --git a/docs/source/recipes/plot_13_recipe.py b/docs/source/recipes/plot_13_recipe.py
index bf0398713e..c8c1cfb872 100644
--- a/docs/source/recipes/plot_13_recipe.py
+++ b/docs/source/recipes/plot_13_recipe.py
@@ -11,6 +11,7 @@
 Niña events are defined when the Niño 3.4 SSTs exceed +/- 0.4 degrees Celsius for a
 period of six months or more.
 
+isort:skip_file
 """
 
 # %%
diff --git a/docs/source/recipes/plot_17_recipe.py b/docs/source/recipes/plot_17_recipe.py
index c94769e2ba..314be00211 100644
--- a/docs/source/recipes/plot_17_recipe.py
+++ b/docs/source/recipes/plot_17_recipe.py
@@ -6,6 +6,8 @@
 three categories in separate subplots to illustrate the importance of
 choosing a suitable one for given data. To avoid unintended bias and
 misrepresentation, or lack of accessibility, a careful choice must be made.
+
+isort:skip_file
 """
 
 # %%
diff --git a/docs/source/recipes/plot_18_recipe.py b/docs/source/recipes/plot_18_recipe.py
index f0eae36e35..00d2e51ef3 100644
--- a/docs/source/recipes/plot_18_recipe.py
+++ b/docs/source/recipes/plot_18_recipe.py
@@ -8,6 +8,7 @@
 calculate the correlation coefficient, to get a measure of the relationship
 between them.
 
+isort:skip_file
 """
 
 # %%
diff --git a/docs/source/recipes/plot_19_recipe.py b/docs/source/recipes/plot_19_recipe.py
index dcc0926fbd..bfbf0dd87d 100644
--- a/docs/source/recipes/plot_19_recipe.py
+++ b/docs/source/recipes/plot_19_recipe.py
@@ -7,6 +7,8 @@
 interpret for trends when in a monthly form, we calculate and plot
 on top of this the mean across each season for both the minima and the
 maxima.
+
+isort:skip_file
 """
 
 # %%
@@ -55,7 +57,10 @@
 # of the maxima, we loop through the season query mapping and do a
 # "T: mean" collapse setting the season as the grouping:
 cfp.gopen(
-    rows=2, columns=1, bottom=0.1, top=0.85,
+    rows=2,
+    columns=1,
+    bottom=0.1,
+    top=0.85,
 )
 cfp.gpos(1)
 cfp.gset(xmin="1980-01-01", xmax="2022-12-01", ymin=304, ymax=312)