numpy.tile() in Python

Last Updated : 28 Mar, 2022

The numpy.tile() function constructs a new array by repeating array - 'arr', the number of times we want to repeat as per repetitions. The resulted array will have dimensions max(arr.ndim, repetitions) where, repetitions is the length of repetitions. If arr.ndim > repetitions, reps is promoted to arr.ndim by pre-pending 1’s to it. If arr.ndim < repetitions, reps is promoted to arr.ndim by pre-pending new axis. Syntax :

numpy.tile(arr, repetitions)

Parameters :

array       : [array_like]Input array. 
repetitions : No. of repetitions of arr along each axis.

Return :

An array with repetitions of array - arr as per d, number of times we want to repeat arr

Code 1 :

Python

# Python Program illustrating
# numpy.tile()

import numpy as geek

#Working on 1D
arr = geek.arange(5)
print("arr : \n", arr)

repetitions = 2
print("Repeating arr 2 times : \n", geek.tile(arr, repetitions))

repetitions = 3
print("\nRepeating arr 3 times : \n", geek.tile(arr, repetitions))
# [0 1 2 ..., 2 3 4] means [0 1 2 3 4 0 1 2 3 4 0 1 2 3 4]
# since it was long output, so it uses [ ... ]

Output :

arr : 
 [0 1 2 3 4]
Repeating arr 2 times : 
 [0 1 2 3 4 0 1 2 3 4]

Repeating arr 3 times : 
 [0 1 2 ..., 2 3 4]

Code 2 :

Python

# Python Program illustrating
# numpy.tile()

import numpy as geek

arr = geek.arange(3)
print("arr : \n", arr)

a = 2  
b = 2  
repetitions = (a, b)
print("\nRepeating arr : \n", geek.tile(arr, repetitions))
print("arr Shape : \n", geek.tile(arr, repetitions).shape)

a = 3  
b = 2   
repetitions = (a, b)
print("\nRepeating arr : \n", geek.tile(arr, repetitions))
print("arr Shape : \n", geek.tile(arr, repetitions).shape)

a = 2
b = 3  
repetitions = (a, b)
print("\nRepeating arr : \n", geek.tile(arr, repetitions))
print("arr Shape : \n", geek.tile(arr, repetitions).shape)

Output :

arr : 
 [0 1 2]

Repeating arr : 
 [[0 1 2 0 1 2]
 [0 1 2 0 1 2]]
arr Shape : 
 (2, 6)

Repeating arr : 
 [[0 1 2 0 1 2]
 [0 1 2 0 1 2]
 [0 1 2 0 1 2]]
arr Shape : 
 (3, 6)

Repeating arr : 
 [[0 1 2 ..., 0 1 2]
 [0 1 2 ..., 0 1 2]]
arr Shape : 
 (2, 9)

Code 3 : (repetitions == arr.ndim) == 0

Python

# Python Program illustrating
# numpy.tile()

import numpy as geek

arr = geek.arange(4).reshape(2, 2)
print("arr : \n", arr)

a = 2  
b = 1  
repetitions = (a, b)
print("\nRepeating arr : \n", geek.tile(arr, repetitions))
print("arr Shape : \n", geek.tile(arr, repetitions).shape)

a = 3  
b = 2   
repetitions = (a, b)
print("\nRepeating arr : \n", geek.tile(arr, repetitions))
print("arr Shape : \n", geek.tile(arr, repetitions).shape)

a = 2
b = 3  
repetitions = (a, b)
print("\nRepeating arr : \n", geek.tile(arr, repetitions))
print("arr Shape : \n", geek.tile(arr, repetitions).shape)

Output :

arr : 
 [[0 1]
 [2 3]]

Repeating arr : 
 [[0 1]
 [2 3]
 [0 1]
 [2 3]]
arr Shape : 
 (4, 2)

Repeating arr : 
 [[0 1 0 1]
 [2 3 2 3]
 [0 1 0 1]
 [2 3 2 3]
 [0 1 0 1]
 [2 3 2 3]]
arr Shape : 
 (6, 4)

Repeating arr : 
 [[0 1 0 1 0 1]
 [2 3 2 3 2 3]
 [0 1 0 1 0 1]
 [2 3 2 3 2 3]]
arr Shape : 
 (4, 6)

References : https://numpy.org/doc/stable/reference/generated/numpy.tile.html Note : These codes won’t run on online IDE's. Please run them on your systems to explore the working .

Python Introduction

Mohit Gupta

Improve

Article Tags :

Practice Tags :

numpy.tile() in Python

Similar Reads

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

numpy.tile() in Python

Similar Reads

Python Fundamentals

Python Data Structures

Advanced Python

Data Science with Python

Web Development with Python

Python Practice

Thank You!

What kind of Experience do you want to share?

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.