diff --git a/vip_hci/preproc/derotation.py b/vip_hci/preproc/derotation.py
index 57d3d043..2f7fd0be 100644
--- a/vip_hci/preproc/derotation.py
+++ b/vip_hci/preproc/derotation.py
@@ -89,11 +89,11 @@ def frame_rotate(array, angle, imlib='vip-fft', interpolation='lanczos4',
         with a gaussian filter. Slower but can significantly reduce ringing
         artefacts from Gibbs phenomenon, in particular if several consecutive
         rotations are involved in your image processing.
-        
+
         - 'noise': pad with small amplitude noise inferred from neighbours
         - 'interp': interpolated from neighbouring pixels using Gaussian kernel.
         - 'noise+interp': sum both components above at masked locations.
-        
+
         Original mask will be placed back after rotation.
     interp_zeros: bool, opt
         [only used if edge_blend is not None]
@@ -539,14 +539,14 @@ def rotate_fft(array, angle):
     -------
     array_out : numpy ndarray
         Resulting frame.
-        
+
     Note
     ----
     This method is slower than interpolation methods (e.g. opencv/lanczos4 or 
     ndimage), but preserves the flux better (by construction it preserves the 
     total power). It is more prone to large-scale Gibbs artefacts, so make sure 
     no sharp edge nor bad pixels are present in the image to be rotated.
-    
+
     Note
     ----
     Warning: if input frame has even dimensions, the center of rotation