# Convert a list of integers to a list of floats in Python Last updated: Jul 12, 2022 Photo from Unsplash

## Convert a list of integers to a list of floats in Python#

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

1. Use a list comprehension to iterate over the list.
2. Use the `float()` class to convert each integer to a float.
3. The new list will only contain floating-point numbers.
main.py
```Copied!```list_of_integers = [3, 5, 7, 9]

new_list = [float(item) for item in list_of_integers]

# 👇️ [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.

## Convert a list of integers to a list of floats using map()#

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

1. Pass the `float()` class and the list to the `map()` function.
2. The `map()` function will call the `float()` class with each item in the list.
3. Use the `list()` class to convert the `map` object to a list.
main.py
```Copied!```list_of_integers = [3, 5, 7, 9]

new_list = list(map(float, list_of_integers))

# 👇️ [3.0, 5.0, 7.0, 9.0]
print(new_list)
``````

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.

## Convert a list of integers to a list of floats using numpy#

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

1. Pass the list and the float data type to the `numpy.array()` method.
2. Optionally convert the numpy array to a list.
main.py
```Copied!```import numpy as np

list_of_integers = [3, 5, 7, 9]

new_list = list(
np.array(list_of_integers, dtype=np.float32)
)

# 👇️ [3.0, 5.0, 7.0, 9.0]
print(new_list)
``````

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.

Which approach you pick is a matter of personal preference. I'd go with using a list comprehension because I find it the most direct and the easiest to read out of the options.

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