Convert a List of Floats to a List of Integers in Python

Borislav Hadzhiev

Last updated: Apr 9, 2024

Reading timeยท5 min

- Convert a List of Floats to a List of Integers in Python
- Convert a List of Integers to a List of Floats in Python

**To convert a list of floats to a list of integers:**

- Use a list comprehension to iterate over the list.
- Use the
`int()`

class to convert the current float to an integer. - The new list will only contain integer values.

main.py

`list_of_floats = [1.23, 3.45, 5.67] result = [int(item) for item in list_of_floats] print(result) # ๐๏ธ [1, 3, 5]`

The code for this article is available on GitHub

We used a list comprehension to iterate over the list of floats.

List comprehensions are used to perform some operation for every element, or select a subset of elements that meet a condition.

On each iteration, we pass the current float value to the int() class to convert it to an integer.

The new list only contains integer values.

You can also use the `round()`

function to round each float to the nearest
integer.

main.py

`list_of_floats = [1.23, 3.45, 5.67] result = [round(item) for item in list_of_floats] print(result) # ๐๏ธ [1, 3, 6]`

The code for this article is available on GitHub

Instead of converting to an integer by dropping the decimal, this example converts the floating-point numbers in the list by rounding them to the nearest integers.

The round() function takes the following 2 parameters:

Name | Description |
---|---|

`number` | the number to round to `ndigits` precision after the decimal |

`ndigits` | the number of digits after the decimal, the number should have after the operation (optional) |

The `round`

function returns the number rounded to `ndigits`

precision after the
decimal point.

If `ndigits`

is omitted, the function returns the nearest integer.

main.py

`print(round(3.45)) # ๐๏ธ 3 print(round(3.55)) # ๐๏ธ 4`

If you need to round up, use the `math.ceil()`

method.

main.py

`import math list_of_floats = [1.23, 3.45, 5.67] result = [math.ceil(item) for item in list_of_floats] print(result) # ๐๏ธ [2, 4, 6]`

The code for this article is available on GitHub

The math.ceil() method returns the smallest integer greater than or equal to the provided number.

main.py

`print(math.ceil(3.01)) # ๐๏ธ 4 print(math.ceil(3.99)) # ๐๏ธ 4`

If you need to round down, use the `math.floor()`

method.

main.py

`import math list_of_floats = [1.23, 3.45, 5.67] result_4 = [math.floor(item) for item in list_of_floats] print(result_4) # ๐๏ธ [1, 3, 5]`

The math.floor method returns the largest integer less than or equal to the provided number.

main.py

`print(math.floor(4.999)) # ๐๏ธ 4 print(math.floor(4.001)) # ๐๏ธ 4`

Alternatively, you can use the `map()`

function.

`map()`

This is a three-step process:

- Pass the
`round()`

function and the list to the`map()`

function. - The
`map()`

function will pass each float to the`round()`

function. - Use the
`list()`

class to convert the`map`

object to a list.

main.py

`list_of_floats = [2.4, 3.5, 6.7, 8.1] new_list = list(map(round, list_of_floats)) # ๐๏ธ [2, 4, 7, 8] print(new_list)`

The code for this article is available on GitHub

The map() function takes a function and an iterable as arguments and calls the function with each item of the iterable.

The

`map()`

function calls the `round()`

function will each floating-point number in the list and rounds each value.The last step is to use the `list()`

class to convert the `map`

object to a
list.

The `list()`

class takes an iterable and returns a list object.

Which approach you pick is a matter of personal preference. I'd go with the list comprehension as I find it more direct and easier to read.

**To convert a list of integers to a list of floats:**

- Use a list comprehension to iterate over the list.
- Use the
`float()`

class to convert each integer to a float. - The new list will only contain floating-point numbers.

main.py

`list_of_integers = [3, 5, 7, 9] new_list = [float(item) for item in list_of_integers] # ๐๏ธ [3.0, 5.0, 7.0, 9.0] print(new_list)`

We used a list comprehension to iterate over the list of integers.

List comprehensions are used to perform some operation for every element, or select a subset of elements that meet a condition.

On each iteration, we pass the integer to the float() class to convert it to a floating-point number.

The new list will only contain float values.

Alternatively, you can use the `map()`

function.

This is a three-step process:

- Pass the
`float()`

class and the list to the`map()`

function. - The
`map()`

function will call the`float()`

class with each item in the list. - Use the
`list()`

class to convert the`map`

object to a list.

main.py

`list_of_integers = [3, 5, 7, 9] new_list = list(map(float, list_of_integers)) # ๐๏ธ [3.0, 5.0, 7.0, 9.0] print(new_list)`

The code for this article is available on GitHub

The `map()`

function takes a function and an iterable as arguments and calls the
function with each item of the iterable.

The

`float()`

class gets passed each integer in the list and converts each value to a floating-point number.Lastly, we used the `list()`

class to convert the `map`

object to a list.

The `list()`

class takes an iterable and returns a list object.

`for`

loopYou can also use a for loop to convert a list of integers to a list of floats.

main.py

`list_of_integers = [3, 5, 7, 9] new_list = [] for item in list_of_integers: new_list.append(float(item)) print(new_list) # ๐๏ธ [3.0, 5.0, 7.0, 9.0]`

On each iteration of the `for`

loop, we convert the current item to a
floating-point number and append the result to a new list.

This is a two-step process:

- Pass the list and the float data type to the
`numpy.array()`

method. - Optionally convert the NumPy array to a list.

main.py

`import numpy as np list_of_integers = [3, 5, 7, 9] new_list = list( np.array(list_of_integers, dtype=np.float32) ) # ๐๏ธ [3.0, 5.0, 7.0, 9.0] print(new_list)`

The code for this article is available on GitHub

You can install NumPy by running the following command.

shell

`pip install numpy # ๐๏ธ or with pip3 pip3 install numpy`

The numpy.array method creates an array from the provided object.

We set the

`dtype`

argument to `np.float32`

to specify the desired data type for the elements in the array.The last (optional) step is to use the `list()`

class to convert the NumPy array
to a list object.

The `list()`

class takes an iterable and returns a list object.

You can learn more about the related topics by checking out the following tutorials: