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+---
+Title: '.swapaxes()'
+Description: 'Swaps two specified axes (dimensions) of a tensor, effectively rearranging its shape.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+  - 'Data Science'
+Tags:
+  - 'AI'
+  - 'Data Types'
+  - 'Deep Learning'
+  - 'Functions'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+In PyTorch, the **`.swapaxes()`** function swaps two specified axes (dimensions) of a tensor.
+
+## Syntax
+
+```pseudo
+torch.swapaxes(input, axis0, axis1)
+```
+
+- `input`: The tensor input array.
+- `axis0`: The first axis to be swapped.
+- `axis1`: The second axis to be swapped.
+
+## Example
+
+The following example demonstrates the usage of the `.swapaxes()` function:
+
+```py
+import torch
+
+# Create a tensor
+x = torch.tensor([[[0, 1], [2, 3]], [[4, 5], [6, 7]]])
+
+# Swap the axes (0 and 1)
+swapped1 = torch.swapaxes(x, 0, 1)
+print("After swapping axes 0 and 1:")
+print(swapped1)
+
+# Swap the axes (0 and 2)
+swapped2 = torch.swapaxes(x, 0, 2)
+print("\nAfter swapping axes 0 and 2:")
+print(swapped2)
+```
+
+The output of the above code is as follows:
+
+```shell
+After swapping axes 0 and 1:
+tensor([[[0, 1],
+         [4, 5]],
+
+        [[2, 3],
+         [6, 7]]])
+
+After swapping axes 0 and 2:
+tensor([[[0, 4],
+         [2, 6]],
+
+        [[1, 5],
+         [3, 7]]])
+```