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

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+---
+Title: '.tile()'
+Description: "Constructs a new array by repeating the input array’s elements a specified number of times."
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'Linear Algebra'
+  - 'Machine Learning'
+  - 'NumPy'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+The **`.tile()`** function constructs a new array by repeating the input array `A` according to the specified number of repetitions `reps`.
+
+- If `A.ndim < len(reps)`, dimensions of `A` are promoted by prepending ones to match the length of `reps`. For example, an array with shape `(3,)` will be treated as `(1, 3)`.
+- If `A.ndim > len(reps)`, the `reps` tuple is extended by prepending ones. For example, `reps=2` is treated as `(1, 2)`.
+
+## Syntax
+
+```pseudo
+numpy.tile(A, reps)
+```
+
+**Parameters:**
+
+- `A`: The input array.
+- `reps`: The number of times the values need to be repeated.
+
+## Example: Repeating Elements in 1D, 2D, and 3D Arrays
+
+The following example show how 1D and 2D arrays interact with `.tile()`:
+
+```py
+import numpy as np
+
+# Create a 1D array
+a = np.array([3,2,1])
+print("Shape of a:",np.shape(a))
+print("a:",a)
+
+# Use numpy.tile() to repeat the values twice horizontally
+b = np.tile(a,2)
+print("b:",b)
+
+# Use numpy.tile() to create a 2D array
+c = np.tile(a,(1,2))
+d = np.tile(a,(2,1))
+print("c:",c)
+print("d:",d)
+
+# Use numpy.tile() to create a 3D array
+e = np.tile(a,(2,1,2))
+print("e:",e)
+
+print("\n\n")
+
+# Create a 2D array
+m = np.array([[5,7,8],[8,2,0]])
+print("Shape of m:",np.shape(m))
+print("m:",m)
+
+# Use numpy.tile() to repeat the values twice horizontally
+n = np.tile(m,2)
+print("n:",n)
+
+# To repeat values horizontally only
+o = np.tile(m,(1,2))
+print("o:",o)
+
+# To repeat values horizontally and vertically
+p = np.tile(m,(2,2))
+print("p:",p)
+
+# To create a 3D array
+q = np.tile(m,(2,1,2))
+print("q:",q)
+```
+
+This produces the following output:
+
+```shell
+Shape of a: (3,)
+a: [3 2 1]
+b: [3 2 1 3 2 1]
+c: [[3 2 1 3 2 1]]
+d: [[3 2 1]
+ [3 2 1]]
+e: [[[3 2 1 3 2 1]]
+
+ [[3 2 1 3 2 1]]]
+
+
+
+Shape of m: (2, 3)
+m: [[5 7 8]
+ [8 2 0]]
+n: [[5 7 8 5 7 8]
+ [8 2 0 8 2 0]]
+o: [[5 7 8 5 7 8]
+ [8 2 0 8 2 0]]
+p: [[5 7 8 5 7 8]
+ [8 2 0 8 2 0]
+ [5 7 8 5 7 8]
+ [8 2 0 8 2 0]]
+q: [[[5 7 8 5 7 8]
+  [8 2 0 8 2 0]]
+
+ [[5 7 8 5 7 8]
+  [8 2 0 8 2 0]]]
+```
+
+## Codebyte Example: Practical Usage of `.tile()`
+
+The following codebyte example shows the usage of the `.tile()` function:
+
+```codebyte/python
+import numpy as np
+
+#Create a 1D and 2D array
+a = np.array([3,7,6])
+b = np.array([[5,-2,8],[8,2,0]])
+
+print("Shape of a:",np.shape(a))
+print("a:",a)
+print("Shape of b:",np.shape(b))
+print("b:",b)
+
+c = np.tile(a,(2,2))
+d = np.tile(a,(4,1))
+e = np.tile(b,1)
+f = np.tile(b,(3,1))
+
+print("\n")
+print("c:",c,"\t\n","d:",d,"\t\n")
+print("e:",e,"\t\n","f:",f,"\t\n")
+```