diff --git a/numpy/iterating/README.md b/numpy/iterating/README.md
index 8ceb693..69640c4 100644
--- a/numpy/iterating/README.md
+++ b/numpy/iterating/README.md
@@ -111,3 +111,125 @@ input shape: (4,), input: [ 9 10 11 12]
  [ 9 10 11 12]
  [13 14 15 16]]
 ```
+
+The output dimension is allowed to change​:
+
+```python
+import numpy as np
+
+
+def function_1d(input):
+    print(f"input shape: {input.shape}, input: {input}")
+    return [input.sum() + input.mean()]
+
+
+a = np.arange(1, 13).reshape(3, 4)
+print(a)
+print(a.shape)  # -> (3, 4)
+print()
+
+print("******")
+b = np.apply_along_axis(function_1d, axis=0, arr=a)
+print("******")
+print()
+
+print(b)
+print(b.shape)  # -> (1, 4)
+print()
+
+print("++++++")
+b = np.apply_along_axis(function_1d, axis=1, arr=a)
+print("++++++")
+print()
+
+print(b)
+print(b.shape)  # -> (3, 1)
+```
+
+Output:
+
+```python
+[[ 1  2  3  4]
+ [ 5  6  7  8]
+ [ 9 10 11 12]]
+
+******
+input shape: (3,), input: [1 5 9]
+input shape: (3,), input: [ 2  6 10]
+input shape: (3,), input: [ 3  7 11]
+input shape: (3,), input: [ 4  8 12]
+******
+
+[[20. 24. 28. 32.]]
+
+++++++
+input shape: (4,), input: [1 2 3 4]
+input shape: (4,), input: [5 6 7 8]
+input shape: (4,), input: [ 9 10 11 12]
+++++++
+
+[[12.5]
+ [32.5]
+ [52.5]]
+```
+
+We can do the same for more then 2d ndarrays:
+
+
+```python
+import numpy as np
+
+
+def function_1d(input):
+    print(f"input shape: {input.shape}, input: {input}")
+    return [input.sum() + input.mean()]
+
+
+a = np.arange(1, 25).reshape(3, 4, 2)
+print(a)
+print(a.shape)  # -> (3, 4, 2)
+print()
+
+print("******")
+b = np.apply_along_axis(function_1d, axis=0, arr=a)
+print("******")
+print()
+
+print(b)
+print(b.shape)  # -> (1, 4, 2)
+```
+
+Output:
+
+```python
+[[[ 1  2]
+  [ 3  4]
+  [ 5  6]
+  [ 7  8]]
+
+ [[ 9 10]
+  [11 12]
+  [13 14]
+  [15 16]]
+
+ [[17 18]
+  [19 20]
+  [21 22]
+  [23 24]]]
+
+******
+input shape: (3,), input: [ 1  9 17]
+input shape: (3,), input: [ 2 10 18]
+input shape: (3,), input: [ 3 11 19]
+input shape: (3,), input: [ 4 12 20]
+input shape: (3,), input: [ 5 13 21]
+input shape: (3,), input: [ 6 14 22]
+input shape: (3,), input: [ 7 15 23]
+input shape: (3,), input: [ 8 16 24]
+******
+
+[[[36. 40.]
+  [44. 48.]
+  [52. 56.]
+  [60. 64.]]]
+```