[Term Entry] Python:NumPy Built-In Functions: .split()

* Add entry for numpy split

* minor fixes

* Add codebyte example

* minor fix

* Update split.md

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Author: karishma-battina

content/numpy/concepts/built-in-functions/terms/split/split.md

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+---
+Title: '.split()'
+Description: 'Divides an array into separate sub-arrays along a specified axis.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Arrays'
+  - 'Data Structures'
+  - 'Functions'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/data-science'
+---
+
+The **`.split()`** function divides an array into multiple sub-arrays along a specified axis.
+
+## Syntax
+
+```pseudo
+numpy.split(array, indices_or_sections, axis=0)
+```
+
+- `array`: The input array to split.
+- `indices_or_sections`:
+  - If an integer, it divides the array into equal-sized sub-arrays.
+  - If a list of indices, it splits at the specified positions.
+- `axis` (Optional): The axis along which the array is split (default is `0`, i.e., row-wise).
+
+## Example
+
+The following example shows splitting arrays in different configurations using the `.split()` function:
+
+```py
+import numpy as np
+
+# Split a 1D array into 3 equal parts
+arr = np.array([11, 22, 33, 44, 55, 66])
+print(np.split(arr, 3))
+
+# Split a 2D array into 2 parts along rows (axis=0)
+nd = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]])
+print(np.split(nd, 2, axis=0))
+
+# Split a 2D array at column indices [1, 2]
+print(np.split(nd, [1, 2], axis=1))
+```
+
+This produces the following output:
+
+```shell
+[array([11, 22]), array([33, 44]), array([55, 66])]
+[array([[1, 2, 3],
+       [4, 5, 6]]), array([[ 7,  8,  9],
+       [10, 11, 12]])]
+[array([[ 1],
+       [ 4],
+       [ 7],
+       [10]]), array([[ 2],
+       [ 5],
+       [ 8],
+       [11]]), array([[ 3],
+       [ 6],
+       [ 9],
+       [12]])]
+```
+
+## Codebyte Example
+
+Run the following example to understand how to split the arrays using the `.split()` function:
+
+```codebyte/python
+import numpy as np
+
+# Creating a 1D array
+arr = np.array([11, 22, 33, 44, 55, 66])
+
+# Splitting into 3 equal parts
+result = np.split(arr, 3)
+
+# Printing the results
+print("Split into 3 equal parts:")
+print(result)
+
+# Creating a 2D array
+nd = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]])
+
+# Splitting along rows (axis=0)
+row_split = np.split(nd, 2, axis=0)
+
+# Splitting along columns (axis=1)
+col_split = np.split(nd, [1, 2], axis=1)
+
+print("\nRow split:")
+print(row_split)
+
+print("\nColumn split:")
+print(col_split)
+```