diff --git a/act/plotting/distributiondisplay.py b/act/plotting/distributiondisplay.py
index 7183f90f88..a94d0195cf 100644
--- a/act/plotting/distributiondisplay.py
+++ b/act/plotting/distributiondisplay.py
@@ -823,13 +823,13 @@ def plot_violin(self,
 
         # Display the scatter plot, pass keyword args for unspecified attributes
         scc = self.axes[subplot_index].violinplot(ndata,
-                                                     positions=positions,
-                                                     vert=vert,
-                                                     showmeans=showmeans,
-                                                     showmedians=showmedians,
-                                                     showextrema=showextrema,
-                                                     **kwargs
-                                                     )
+                                                  positions=positions,
+                                                  vert=vert,
+                                                  showmeans=showmeans,
+                                                  showmedians=showmedians,
+                                                  showextrema=showextrema,
+                                                  **kwargs
+                                                  )
         if showmeans is True:
             scc['cmeans'].set_edgecolor('red')
             scc['cmeans'].set_label('mean')
diff --git a/examples/plotting/plot_scatter.py b/examples/plotting/plot_scatter.py
index 7cecd8dfb9..dd9202f05d 100644
--- a/examples/plotting/plot_scatter.py
+++ b/examples/plotting/plot_scatter.py
@@ -47,18 +47,18 @@
 
 # Plot the best fit line
 display.axes[0].plot(ds['true_airspeed'],
-                        p(ds['true_airspeed']),
-                        'r',
-                        linewidth=2
-                        )
+                     p(ds['true_airspeed']),
+                     'r',
+                     linewidth=2
+                     )
 
 # Display the line equation
 display.axes[0].text(45,
-                        135,
-                        "y = %.3fx + (%.3f)" % (z[0], z[1]),
-                        color='r',
-                        fontsize=12
-                        )
+                     135,
+                     "y = %.3fx + (%.3f)" % (z[0], z[1]),
+                     color='r',
+                     fontsize=12
+                     )
 
 # Calculate Pearson Correlation Coefficient
 cc_conc = pearsonr(ds['true_airspeed'],
@@ -67,17 +67,17 @@
 
 # Display the Pearson CC
 display.axes[0].text(45,
-                        130,
-                        "Pearson CC: %.2f" % (cc_conc[0]),
-                        fontsize=12
-                        )
+                     130,
+                     "Pearson CC: %.2f" % (cc_conc[0]),
+                     fontsize=12
+                     )
 
 # Display the total number of samples
 display.axes[0].text(45,
-                        125,
-                        "N = %.0f" % (ds['true_airspeed'].data.shape[0]),
-                        fontsize=12
-                        )
+                     125,
+                     "N = %.0f" % (ds['true_airspeed'].data.shape[0]),
+                     fontsize=12
+                     )
 
 # Display the 1:1 ratio line
 display.set_ratio_line()