diff --git a/examples/00_misc/06_fourier.py b/examples/00_misc/06_fourier.py
index cf08148ac..4efad00ff 100644
--- a/examples/00_misc/06_fourier.py
+++ b/examples/00_misc/06_fourier.py
@@ -32,7 +32,7 @@
 )
 
 # Now, we can finally calculate the field with the given parameters.
-srf((x, y), mesh_type='structured')
+srf((x, y), mesh_type="structured")
 
 # GSTools has a few simple visualization methods built in.
 srf.plot()
diff --git a/examples/00_misc/07_fourier_trans.py b/examples/00_misc/07_fourier_trans.py
index aea0cb43d..a69abfcc0 100644
--- a/examples/00_misc/07_fourier_trans.py
+++ b/examples/00_misc/07_fourier_trans.py
@@ -27,7 +27,7 @@
     seed=1681903,
 )
 # and computing it
-srf((x, y), mesh_type='structured')
+srf((x, y), mesh_type="structured")
 
 # With the field generated, we can now apply transformations
 # starting with a discretization of the field into 4 different values
@@ -37,5 +37,7 @@
 
 # This is already a nice result, but we want to pronounce the peaks of the
 # field. We can do this by applying a log-normal transformation on top
-srf.transform("lognormal", field="transform_discrete", store="transform_lognormal")
+srf.transform(
+    "lognormal", field="transform_discrete", store="transform_lognormal"
+)
 srf.plot("transform_lognormal")