diff --git a/doc/python/animations.md b/doc/python/animations.md
index 045111c90e7..e76101cb41c 100644
--- a/doc/python/animations.md
+++ b/doc/python/animations.md
@@ -30,6 +30,7 @@ jupyter:
     order: 1
     page_type: example_index
     permalink: python/animations/
+    redirect_from: python/visualizing-mri-volume-slices/
     thumbnail: thumbnail/animations.gif
 ---
 
@@ -171,7 +172,7 @@ fig = go.Figure(
 fig.update_layout(width=600, height=450,
         xaxis=dict(range=[xm, xM], autorange=False, zeroline=False),
         yaxis=dict(range=[ym, yM], autorange=False, zeroline=False),
-        title_text="Kinematic Generation of a Planar Curve", title_x=0.5, 
+        title_text="Kinematic Generation of a Planar Curve", title_x=0.5,
         updatemenus = [dict(type = "buttons",
         buttons = [
             dict(
@@ -179,9 +180,9 @@ fig.update_layout(width=600, height=450,
                                 "fromcurrent": True, "transition": {"duration": 10}}],
                 label = "Play",
                 method = "animate",
-                 
+
                 )])])
-       
+
 fig.update(frames=[go.Frame(
                         data=[go.Scatter(
                                    x=[xx[k]],
diff --git a/doc/python/visualizing-mri-volume-slices.md b/doc/python/visualizing-mri-volume-slices.md
deleted file mode 100644
index 63bf99e0627..00000000000
--- a/doc/python/visualizing-mri-volume-slices.md
+++ /dev/null
@@ -1,144 +0,0 @@
----
-jupyter:
-  jupytext:
-    notebook_metadata_filter: all
-    text_representation:
-      extension: .md
-      format_name: markdown
-      format_version: '1.1'
-      jupytext_version: 1.2.3
-  kernelspec:
-    display_name: Python 3
-    language: python
-    name: python3
-  language_info:
-    codemirror_mode:
-      name: ipython
-      version: 3
-    file_extension: .py
-    mimetype: text/x-python
-    name: python
-    nbconvert_exporter: python
-    pygments_lexer: ipython3
-    version: 3.7.3
-  plotly:
-    description: How to create an plotly animation with slider that cycles through
-      MRI cross-sections of a human brain.
-    display_as: animations
-    language: python
-    layout: base
-    name: Visualizing MRI Volume Slices
-    order: 4
-    page_type: example_index
-    permalink: python/visualizing-mri-volume-slices/
-    thumbnail: thumbnail/brain-mri-animation_square.gif
----
-
-#### Visualization of MRI volume slices
-
-```python
-# Import data
-import time
-import numpy as np
-
-from skimage import io
-
-vol = io.imread("https://s3.amazonaws.com/assets.datacamp.com/blog_assets/attention-mri.tif")
-volume = vol.T
-r, c = volume[0].shape
-
-# Define frames
-import plotly.graph_objects as go
-nb_frames = 68
-
-fig = go.Figure(frames=[go.Frame(data=go.Surface(
-    z=(6.7 - k * 0.1) * np.ones((r, c)),
-    surfacecolor=np.flipud(volume[67 - k]),
-    cmin=0, cmax=200
-    ),
-    name=str(k) # you need to name the frame for the animation to behave properly
-    )
-    for k in range(nb_frames)])
-
-# Add data to be displayed before animation starts
-fig.add_trace(go.Surface(
-    z=6.7 * np.ones((r, c)),
-    surfacecolor=np.flipud(volume[67]),
-    colorscale='Gray',
-    cmin=0, cmax=200,
-    colorbar=dict(thickness=20, ticklen=4)
-    ))
-
-
-def frame_args(duration):
-    return {
-            "frame": {"duration": duration},
-            "mode": "immediate",
-            "fromcurrent": True,
-            "transition": {"duration": duration, "easing": "linear"},
-        }
-
-sliders = [
-            {
-                "pad": {"b": 10, "t": 60},
-                "len": 0.9,
-                "x": 0.1,
-                "y": 0,
-                "steps": [
-                    {
-                        "args": [[f.name], frame_args(0)],
-                        "label": str(k),
-                        "method": "animate",
-                    }
-                    for k, f in enumerate(fig.frames)
-                ],
-            }
-        ]
-
-# Layout
-fig.update_layout(
-         title='Slices in volumetric data',
-         width=600,
-         height=600,
-         scene=dict(
-                    zaxis=dict(range=[-0.1, 6.8], autorange=False),
-                    aspectratio=dict(x=1, y=1, z=1),
-                    ),
-         updatemenus = [
-            {
-                "buttons": [
-                    {
-                        "args": [None, frame_args(50)],
-                        "label": "▶", # play symbol
-                        "method": "animate",
-                    },
-                    {
-                        "args": [[None], frame_args(0)],
-                        "label": "◼", # pause symbol
-                        "method": "animate",
-                    },
-                ],
-                "direction": "left",
-                "pad": {"r": 10, "t": 70},
-                "type": "buttons",
-                "x": 0.1,
-                "y": 0,
-            }
-         ],
-         sliders=sliders
-)
-
-fig.show()
-```
-
-#### Credit:
-All credit goes to Emilia Petrisor for this excellent animation!
-
-Here's where you can find her:
-- Her [Twitter](https://twitter.com/mathinpython) under the handle `@mathinpython`
-- Her [GitHub Page](https://github.com/empet) with Username `empet`
-
-
-#### Reference
-For additional information and help setting up a slider in an animation, see https://plotly.com/python/gapminder-example/. For more documentation on creating animations with Plotly, see https://plotly.com/python/#animations.
-