diff --git a/pyvista/core/dataset.py b/pyvista/core/dataset.py
index 5acff5e6b6..d494f60d92 100644
--- a/pyvista/core/dataset.py
+++ b/pyvista/core/dataset.py
@@ -1900,32 +1900,34 @@ def find_closest_cell(self, point: Union[int, np.ndarray]) -> Union[int, np.ndar
 
         Examples
         --------
-        Find nearest cell to a point on a sphere, centered on the
-        origin.
+        Find nearest cell on a sphere centered on the
+        origin to the point ``[0.1, 0.2, 0.3]``.
 
         >>> import pyvista
         >>> mesh = pyvista.Sphere()
-        >>> index = mesh.find_closest_cell([0, 0, 0.5])
+        >>> point = [0.1, 0.2, 0.3]
+        >>> index = mesh.find_closest_cell(point)
         >>> index
-        30
+        591
+
+        Make sure that this cell indeed is the closest to
+        ``[0.1, 0.2, 0.3]``.
+
+        >>> import numpy as np
+        >>> cell_centers = mesh.cell_centers()
+        >>> relative_position = cell_centers.points - point
+        >>> distance = np.linalg.norm(relative_position, axis=1)
+        >>> np.argmin(distance)
+        591
 
         Find the nearest cells to several random points that
         are centered on the origin.
 
-        >>> import numpy as np
         >>> points = 2 * np.random.random((5000, 3)) - 1
         >>> indices = mesh.find_closest_cell(points)
         >>> indices.shape
         (5000,)
 
-        The average position of all the randomly found cell centers should
-        be reasonably close to the origin.
-
-        >>> cell_center_mesh = mesh.cell_centers()
-        >>> avg_pos = cell_center_mesh.points[indices, :].mean(axis=0)
-        >>> np.linalg.norm(avg_pos) < 0.02
-        True
-
         """
         if isinstance(point, collections.abc.Sequence):
             point = np.array(point)