[Term Entry] Python NumPy - ndarray: repeat()

* Added file on repeat

* minor content fixes

* Minor changes

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Author: Neema-Joju

content/numpy/concepts/ndarray/terms/repeat/repeat.md

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+---
+Title: '.repeat()'
+Description: 'Returns the repeated elements of an array.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Functions'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.repeat()`** method of a NumPy `ndarray` returns a new array where each element is repeated a specified number of times. It can repeat all elements in a flattened array or along a particular axis in multidimensional arrays.
+
+## Syntax
+
+```pseudo
+ndarray.repeat(repeats, axis=None)
+```
+
+**Parameters:**
+
+- `repeats`: Integer or array of integers. Specifies how many times each element should be repeated. If an array, it must match the length of the axis being repeated.
+- `axis` (Optional): The axis along which the values are to be repeated. If `None`, the array is flattened before repetition.
+
+**Return value:**
+
+A new array with repeated elements. The resulting shape depends on the `repeats` value and whether an axis is specified.
+
+## Example
+
+The following example creates an `ndarray`, then uses `.repeat()` to repeat the elements:
+
+```py
+import numpy as np
+
+a = np.array([1])
+print("a repeated:", a.repeat(3))
+
+b = np.array([[1,2],[5,6]])
+print("b repeated:", b.repeat(2))
+
+c = np.array([[1,2],[0,-1]])
+print("c repeated:", c.repeat(2,axis=0))
+```
+
+The above code generates the following output:
+
+```shell
+a repeated: [1 1 1]
+b repeated: [1 1 2 2 5 5 6 6]
+c repeated: [[ 1  2]
+ [ 1  2]
+ [ 0 -1]
+ [ 0 -1]]
+```
+
+## Codebyte Example
+
+Run the following codebyte example to understand the usage of the `.repeat()` method:
+
+```codebyte/python
+import numpy as np
+
+a = np.array([-8])
+print("a repeated 3 times:", a.repeat(3))
+
+b = np.array([[1, 2, -9], [5, 6, 0]])
+print("\nb repeated (flattened):", b.repeat(2))
+
+c = np.array([[7, 8], [9, -3]])
+print("\nc repeated along axis 1:\n", c.repeat(2, axis=1))
+
+d = np.array([[-1, 2], [0, -1]])
+print("\nd repeated 4 times (no axis):", d.repeat(4, axis=None))
+```