Issue 7874 ndarray.flat term entry

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

@@ -0,0 +1,101 @@
+---
+Title: '.flat' 
+Description: is a property on NumPy arrays that gives you a 1D iterator over every element in the array. It does not copy the data — it’s just a view you can iterate through.
+Subjects:
+  - 'Data Science'
+  - 'Machine Learning'
+  - 'Computer Science'
+Tags:
+  - 'Arrays'
+  - 'Data'
+  - 'Data Structures'
+  - 'NumPy'
+CatalogContent: 
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+**.flat** is a property on NumPy arrays that gives you a 1D iterator over every element in the array. It doesn’t copy the data — it’s just a view you can iterate through.
+
+## Syntax
+
+```pseudo
+ndarray.flat
+```
+
+## Example
+
+### Iterate Over All Elements
+
+```
+import numpy as np
+a = np.array([[1, 2, 3],[4, 5, 6]])
+
+for value in a.flat:
+  print(value)
+```
+
+Output:
+```
+1
+2
+3
+4
+5
+6
+```
+
+### Indexing with  `flat`
+```
+a = np.array([[10, 20],
+              [30, 40]])
+
+print(a.flat[2])  # Third value in row-major order
+```
+
+Output:
+```shell
+30
+```
+
+### Assigning with `.flat`
+```
+a = np.array([[1, 2],
+              [3, 4]])
+
+a.flat[1] = 99
+
+print(a)
+```
+
+Output:
+```shell
+[[ 1 99]
+ [ 3  4]]
+```
+
+### Filling an Array Using `.flat`
+```
+a = np.zeros((2, 3))
+
+for i in range(a.size):
+    a.flat[i] = i + 1
+
+print(a)
+```
+
+Output:
+```shell
+[[1. 2. 3.]
+ [4. 5. 6.]]
+```
+## Codebyte Example
+
+```codebyte/py
+import numpy as np
+array = np.array([[1,2,3],[4,5,6],[7,8,9]])
+print(array)
+print(array.flat)
+print(array.flat[5])
+for num in array.flat:
+  print(num, end=", ")
+```