# Split list into smaller lists (split in half)

## Question:

I am looking for a way to easily split a python list in half.

So that if I have an array:

``````A = [0,1,2,3,4,5]
``````

I would be able to get:

``````B = [0,1,2]

C = [3,4,5]
``````

``````def splitter(A):
B = A[0:len(A)//2]
C = A[len(A)//2:]

return (B,C)
``````

I tested, and the double slash is required to force int division in python 3. My original post was correct, although wysiwyg broke in Opera, for some reason.

``````A = [1,2,3,4,5,6]
B = A[:len(A)//2]
C = A[len(A)//2:]
``````

If you want a function:

``````def split_list(a_list):
half = len(a_list)//2
return a_list[:half], a_list[half:]

A = [1,2,3,4,5,6]
B, C = split_list(A)
``````

`B,C=A[:len(A)/2],A[len(A)/2:]`

Using list slicing. The syntax is basically `my_list[start_index:end_index]`

``````>>> i = [0,1,2,3,4,5]
>>> i[:3] # same as i[0:3] - grabs from first to third index (0->2)
[0, 1, 2]
>>> i[3:] # same as i[3:len(i)] - grabs from fourth index to end
[3, 4, 5]
``````

To get the first half of the list, you slice from the first index to `len(i)//2` (where `//` is the integer division – so `3//2 will give the floored result of`1`, instead of the invalid list index of`1.5`):

``````>>> i[:len(i)//2]
[0, 1, 2]
``````

..and the swap the values around to get the second half:

``````>>> i[len(i)//2:]
[3, 4, 5]
``````

A little more generic solution (you can specify the number of parts you want, not just split ‘in half’):

``````def split_list(alist, wanted_parts=1):
length = len(alist)
return [ alist[i*length // wanted_parts: (i+1)*length // wanted_parts]
for i in range(wanted_parts) ]

A = [0,1,2,3,4,5,6,7,8,9]

print split_list(A, wanted_parts=1)
print split_list(A, wanted_parts=2)
print split_list(A, wanted_parts=8)
``````

While the answers above are more or less correct, you may run into trouble if the size of your array isn’t divisible by 2, as the result of `a / 2`, a being odd, is a float in python 3.0, and in earlier version if you specify `from __future__ import division` at the beginning of your script. You are in any case better off going for integer division, i.e. `a // 2`, in order to get “forward” compatibility of your code.

``````f = lambda A, n=3: [A[i:i+n] for i in range(0, len(A), n)]
f(A)
``````

`n` – the predefined length of result arrays

There is an official Python receipe for the more generalized case of splitting an array into smaller arrays of size `n`.

``````from itertools import izip_longest
def grouper(n, iterable, fillvalue=None):
"Collect data into fixed-length chunks or blocks"
# grouper(3, 'ABCDEFG', 'x') --> ABC DEF Gxx
args = [iter(iterable)] * n
return izip_longest(fillvalue=fillvalue, *args)
``````

This code snippet is from the python itertools doc page.

If you don’t care about the order…

``````def split(list):
return list[::2], list[1::2]
``````

`list[::2]` gets every second element in the list starting from the 0th element.
`list[1::2]` gets every second element in the list starting from the 1st element.

Here is a common solution, split arr into count part

``````def split(arr, count):
return [arr[i::count] for i in range(count)]
``````

With hints from @ChristopheD

``````def line_split(N, K=1):
length = len(N)
return [N[i*length/K:(i+1)*length/K] for i in range(K)]

A = [0,1,2,3,4,5,6,7,8,9]
print line_split(A,1)
print line_split(A,2)
``````
``````def split(arr, size):
arrs = []
while len(arr) > size:
pice = arr[:size]
arrs.append(pice)
arr   = arr[size:]
arrs.append(arr)
return arrs
``````

Test:

``````x=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
print(split(x, 5))
``````

result:

``````[[1, 2, 3, 4, 5], [6, 7, 8, 9, 10], [11, 12, 13]]
``````

This is similar to other solutions, but a little faster.

``````# Usage: split_half([1,2,3,4,5]) Result: ([1, 2], [3, 4, 5])

def split_half(a):
half = len(a) >> 1
return a[:half], a[half:]
``````
``````#for python 3
A = [0,1,2,3,4,5]
l = len(A)/2
B = A[:int(l)]
C = A[int(l):]
``````

If you have a big list, It’s better to use itertools and write a function to yield each part as needed:

``````from itertools import islice

def make_chunks(data, SIZE):
it = iter(data)
# use `xragne` if you are in python 2.7:
for i in range(0, len(data), SIZE):
yield [k for k in islice(it, SIZE)]
``````

You can use this like:

``````A = [0, 1, 2, 3, 4, 5, 6]

size = len(A) // 2

for sample in make_chunks(A, size):
print(sample)
``````

The output is:

``````[0, 1, 2]
[3, 4, 5]

``````

Thanks to @thefourtheye and @Bede Constantinides

10 years later.. I thought – why not add another:

``````arr = 'Some random string' * 10; n = 4
print([arr[e:e+n] for e in range(0,len(arr),n)])
``````

Another take on this problem in 2020 … Here’s a generalization of the problem. I interpret the ‘divide a list in half’ to be .. (i.e. two lists only and there shall be no spillover to a third array in case of an odd one out etc). For instance, if the array length is 19 and a division by two using // operator gives 9, and we will end up having two arrays of length 9 and one array (third) of length 1 (so in total three arrays). If we’d want a general solution to give two arrays all the time, I will assume that we are happy with resulting duo arrays that are not equal in length (one will be longer than the other). And that its assumed to be ok to have the order mixed (alternating in this case).

``````"""
arrayinput --> is an array of length N that you wish to split 2 times
"""
ctr = 1 # lets initialize a counter

holder_1 = []
holder_2 = []

for i in range(len(arrayinput)):

if ctr == 1 :
holder_1.append(arrayinput[i])
elif ctr == 2:
holder_2.append(arrayinput[i])

ctr += 1

if ctr > 2 : # if it exceeds 2 then we reset
ctr = 1
``````

This concept works for any amount of list partition as you’d like (you’d have to tweak the code depending on how many list parts you want). And is rather straightforward to interpret. To speed things up , you can even write this loop in cython / C / C++ to speed things up. Then again, I’ve tried this code on relatively small lists ~ 10,000 rows and it finishes in a fraction of second.

Just my two cents.

Thanks!

General solution split list into n parts with parameter verification:

``````def sp(l,n):
# split list l into n parts
if l:
p = len(l) if n < 1 else len(l) // n   # no split
p = p if p > 0 else 1                  # split down to elements
for i in range(0, len(l), p):
yield l[i:i+p]
else:
yield [] # empty list split returns empty list
``````
``````from itertools import islice

Input = [2, 5, 3, 4, 8, 9, 1]
small_list_length = [1, 2, 3, 1]

Input1 = iter(Input)

Result = [list(islice(Input1, elem)) for elem in small_list_length]

print("Input list :", Input)

print("Split length list: ", small_list_length)

print("List after splitting", Result)
``````

Since there was no restriction put on which package we can use.. Numpy has a function called `split` with which you can easily split an `array` any way you like.

Example

``````import numpy as np
A = np.array(list('abcdefg'))
np.split(A, 2)
``````

You can try something like this with numpy

``````import numpy as np
np.array_split([1,2,3,4,6,7,8], 2)
``````

result:

``````[array([1, 2, 3, 4]), array([6, 7, 8])]
``````
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