diff --git a/bioptim/examples/getting_started/how_to_plot.py b/bioptim/examples/getting_started/how_to_plot.py
index 624f01933..c7c972c59 100644
--- a/bioptim/examples/getting_started/how_to_plot.py
+++ b/bioptim/examples/getting_started/how_to_plot.py
@@ -5,6 +5,7 @@
 import matplotlib.pyplot as plt
 from bioptim.examples.getting_started.pendulum import prepare_ocp
 from bioptim import Solver, SolutionMerge, TimeAlignment
+
 """
 If pendulum is run as a script, it will perform the optimization and animates it
 """
@@ -23,7 +24,7 @@
 decision_time = sol.decision_time(to_merge=SolutionMerge.NODES, time_alignment=TimeAlignment.STATES)
 decision_states = sol.decision_states(to_merge=SolutionMerge.NODES)
 for i in range(2):
-    axs[0, i].step(decision_time, decision_states["q"][i, :], label="Decision q", where='post')
+    axs[0, i].step(decision_time, decision_states["q"][i, :], label="Decision q", where="post")
 
 # Retrieve stepwise states from the solution object.
 stepwise_time = sol.stepwise_time(to_merge=SolutionMerge.NODES, time_alignment=TimeAlignment.STATES)
@@ -35,7 +36,7 @@
 decision_time = sol.decision_time(to_merge=SolutionMerge.NODES, time_alignment=TimeAlignment.CONTROLS)
 decision_controls = sol.decision_controls(to_merge=SolutionMerge.NODES)
 for i in range(2):
-    axs[0, i].step(decision_time, decision_controls["tau"][i, :], label="Decision tau", where='post')
+    axs[0, i].step(decision_time, decision_controls["tau"][i, :], label="Decision tau", where="post")
     axs[0, i].set_xlabel("Time [s]")
     axs[0, i].grid(True)
     axs[0, i].legend()
@@ -44,7 +45,7 @@
 stepwise_time = sol.stepwise_time(to_merge=SolutionMerge.NODES, time_alignment=TimeAlignment.CONTROLS)
 stepwise_controls = sol.stepwise_controls(to_merge=SolutionMerge.NODES)
 for i in range(2):
-    axs[1, i].step(stepwise_time, stepwise_controls["tau"][i, :],  label="Stepwise tau", where='post')
+    axs[1, i].step(stepwise_time, stepwise_controls["tau"][i, :], label="Stepwise tau", where="post")
     axs[1, i].set_xlabel("Time [s]")
     axs[1, i].grid(True)
     axs[1, i].legend()
diff --git a/bioptim/examples/getting_started/pendulum.py b/bioptim/examples/getting_started/pendulum.py
index 550488c6f..b936f9c5f 100644
--- a/bioptim/examples/getting_started/pendulum.py
+++ b/bioptim/examples/getting_started/pendulum.py
@@ -152,5 +152,6 @@ def main():
     # sol.graphs(show_bounds=True)
     sol.animate(n_frames=100)
 
+
 if __name__ == "__main__":
     main()