How do you resize a list in python?

Question

Last update on August 19 2022 21:50:38 (UTC/GMT +8 hours)

numpy.resize() function

The resize() function is used to create a new array with the specified shape.
If the new array is larger than the original array, then the new array is filled with repeated copies of a.

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numpy.resize() function
How do I resize a list?
How do you transform a list in Python?
How do you resize a function in Python?

Syntax:

numpy.resize(a, new_shape)

Version: 1.15.0

Parameter:

Name	Description	Required / Optional
a	Array to be resized.	Required
new_shape	Shape of resized array.	Required

Return value:

reshaped_array : ndarray - The new array is formed from the data in the old array, repeated if necessary to fill out the required number of elements. The data are repeated in the order that they are stored in memory.

Example-1: numpy.resize() function

>>> import numpy as np
>>> a = np.array([[1,2], [3,4]])
>>> np.resize(a, (3,2))
array([[1, 2],
       [3, 4],
       [1, 2]])

Pictorial Presentation:

Example-2: numpy.resize() ffunction

>>> import numpy as np
>>> a = np.array([[1,2], [3,4]])
>>> np.resize(a, (2,3))
array([[1, 2, 3],
       [4, 1, 2]])

Pictorial Presentation:

Example-3: numpy.resize() ffunction

>>> import numpy as np
>>> a = np.array([[1,2], [3,4]])	   
>>> np.resize(a, (2,4))
array([[1, 2, 3, 4],
       [1, 2, 3, 4]])

Pictorial Presentation:

Python - NumPy Code Editor:

Previous: append()
Next: trim_zeros()

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my_list = ['A', 'B', 'C', 'D', 'E']

print(my_list)       # [A,B,C,D,E]
print(len(my_list))  # 5

# change list size by removing last 2 items
my_list = my_list[:-2]

print(my_list)       # [A,B,C]
print(len(my_list))  # 3

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With the help of Numpy numpy.resize(), we can resize the size of an array. Array can be of any shape but to resize it we just need the size i.e (2, 2), (2, 3) and many more. During resizing numpy append zeros if values at a particular place is missing.

Parameters:
new_shape : [tuple of ints, or n ints] Shape of resized array
refcheck : [bool, optional] This parameter is used to check the reference counter. By Default it is True.

Returns: None

Most of you are now thinking that what is the difference between reshape and resize. When we talk about reshape then an array changes it’s shape as temporary but when we talk about resize then the changes made permanently.

Example #1:
In this example we can see that with the help of .resize() method, we have changed the shape of an array from 1×6 to 2×3.

import numpy as np

gfg = np.array([1, 2, 3, 4, 5, 6])

gfg.resize(2, 3)

print(gfg)

Output:

[[1 2 3]
 [4 5 6]]

Example #2:
In this example we can see that, we are trying to resize the array of that shape which is type of out of bound values. But numpy handles this situation to append the zeros when values are not existed in the array.

import numpy as np

gfg = np.array([1, 2, 3, 4, 5, 6])

gfg.resize(3, 4)

print(gfg)

Output:

[[1 2 3 4]
 [5 6 0 0]
 [0 0 0 0]]

How do I resize a list?

The list::resize() is a built-in function in C++ STL which is used to resize a list container. It takes a number n as parameter and resizes the list container to contain exactly n elements. If the list already has more than n elements, then the function erases the elements from the list except the first n element.

How do you transform a list in Python?

To convert a list to a string, use Python List Comprehension and the join() function. The list comprehension will traverse the elements one by one, and the join() method will concatenate the list's elements into a new string and return it as output.

How do you resize a function in Python?

To resize an image, you call the resize() method on it, passing in a two-integer tuple argument representing the width and height of the resized image. The function doesn't modify the used image; it instead returns another Image with the new dimensions.

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