Example 1: Using yield
def split(list_a, chunk_size):
for i in range(0, len(list_a), chunk_size):
yield list_a[i:i + chunk_size]
chunk_size = 2
my_list = [1,2,3,4,5,6,7,8,9]
print(list(split(my_list, chunk_size)))
Output
[[1, 2], [3, 4], [5, 6], [7, 8], [9]]
In the above example, we have defined a function to split the list.
- Using a for loop and
range()
method, iterate from 0 to the length of the list with the size of chunk as the step. - Return the chunks using
yield
.list_a[i:i+chunk_size]
gives each chunk. For example, wheni = 0
, the items included in the chunk arei
toi + chunk_size
which is 0 to(0 + 2)th
index. In the next iteration, the items included are 2 to2 + 2 = 4
.
Learn more about yield at Python Generators.
You can do the same thing using list compression as below.
chunk_size = 2
list_chunked = [my_list[i:i + chunk_size] for i in range(0, len(my_list), chunk_size)]
print(list_chunked)
Output
[[1, 2], [3, 4], [5, 6], [7, 8], [9]]
Learn more about list comprehension at Python List Comprehension.
Example 2: Using numpy
import numpy as np
my_list = [1,2,3,4,5,6,7,8,9]
print(np.array_split(my_list, 5))
Output
[array([1, 2]), array([3, 4]), array([5, 6]), array([7, 8]), array([9])]
array_split()
is a numpy method that splits a list into equal sized chunks. Here, the number of chunks is 5.
Note: You need to install numpy on your system.