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+---
+Title: '.sort()'
+Description: 'Sorts the array in-place along the specified axis'
+Subjects:
+  - 'Code Foundations'
+  - 'Computer Science'
+Tags:
+  - 'Arrays'
+  - 'Elements'
+  - 'Methods'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.sort()`** method sorts a NumPy array in-place in ascending order along a specified axis. By default, it sorts in ascending order.
+
+## Syntax
+
+```pseudo
+ndarray.sort(axis=-1, kind=None, order=None)
+```
+
+**Parameters:**
+
+- `axis`: Axis along which to sort. Default is `-1` (last axis). Use `None` to sort the flattened array.
+- `kind`: Sorting algorithm: `'quicksort'` (default), `'mergesort'`, `'heapsort'`, or `'stable'`.
+- `order`: Only for structured arrays. Specifies the field(s) to sort by.
+
+## Example
+
+In this example, the `.sort()` method is used to sort a NumPy array in descending order:
+
+```py
+# Import NumPy
+import numpy as np
+
+# Create a NumPy array
+nf = np.array(['aaa', 'xxx', 'ddd', 'sss'])
+
+# Sort in descending order
+nf.sort()     # Sorts in ascending order
+nf = nf[::-1] # Reverses to get descending order
+
+print(nf)
+```
+
+We will get the following result:
+
+```shell
+['xxx' 'sss' 'ddd' 'aaa']
+```
+
+## Codebyte Example
+
+In the following codebyte example, a NumPy array `nf` is created with strings of varying lengths, and then sorted in descending order based on string length:
+
+```codebyte/python
+import numpy as np
+
+nf = np.array(['aaa', 'cccc', 'xxxxx', 'bb', 'yyyyyyy', 'p'])
+
+sorted_nf = np.array(sorted(nf, key=len, reverse=True))
+
+print(sorted_nf)
+```