diff --git a/content/numpy/concepts/ndarray/terms/swapaxes/swapaxes.md b/content/numpy/concepts/ndarray/terms/swapaxes/swapaxes.md
new file mode 100644
index 00000000000..13e2205603f
--- /dev/null
+++ b/content/numpy/concepts/ndarray/terms/swapaxes/swapaxes.md
@@ -0,0 +1,64 @@
+---
+Title: '.swapaxes()'
+Description: 'Returns a view of the array with two axes interchanged.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Functions'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+NumPy's **`.swapaxes()`** method returns a view of the array with the specified axes interchanged, without copying data. It’s useful for reorienting multi-dimensional arrays for analysis, transformation, or visualization.
+
+## Syntax
+
+```pseudo
+ndarray.swapaxes(axis1, axis2)
+```
+
+**Parameters:**
+
+- `axis1`: An `int` representing the first axis to be swapped.
+- `axis2`: An `int` representing the second axis to be swapped.
+
+**Return value:**
+
+Returns an `ndarray` view of the original array with `axis1` and `axis2` interchanged. The shape of the returned array is the same as the original, but with the specified axes swapped.
+
+## Example
+
+This example creates a 2D array and then swaps its axes using `.swapaxes()`:
+
+```py
+import numpy as np
+
+arr = np.array([[1, 2, 3], [4, 5, 6]])
+swapped_arr = arr.swapaxes(0, 1)
+print(swapped_arr)
+```
+
+Here is the output:
+
+```shell
+[[1 4]
+ [2 5]
+ [3 6]]
+```
+
+## Codebyte Example
+
+This codebyte example demonstrates the use of `.swapaxes()` on a 3D array:
+
+```codebyte/python
+import numpy as np
+
+arr = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
+swapped_arr = arr.swapaxes(0, 2)
+print(swapped_arr)
+```