How to Convert NumPy Array of Floats into Integers

You can use the following methods to convert a NumPy array of floats to an array of integers:

Method 1: Convert Floats to Integers (Rounded Down)

rounded_down_integer_array = float_array.astype(int)

Method 2: Convert Floats to Integers (Rounded to Nearest Integer)

rounded_integer_array = (np.rint(some_floats)).astype(int)

Method 3: Convert Floats to Integers (Rounded Up)

rounded_up_integer_array = (np.ceil(float_array)).astype(int)

The following examples show how to use each method in practice with the following NumPy array of floats:

import numpy as np

#create NumPy array of floats
float_array = np.array([2.33, 4.7, 5.1, 6.2356, 7.88, 8.5])

#view array
print(float_array)

[2.33   4.7    5.1    6.2356 7.88   8.5   ]

#view dtype of array
print(float_array.dtype)

float64

Example 1: Convert Floats to Integers (Rounded Down)

The following code shows how to convert a NumPy array of floats to an array of integers in which each float is rounded down to the nearest integer:

#convert NumPy array of floats to array of integers (rounded down)
rounded_down_integer_array = float_array.astype(int)

#view array
print(rounded_down_integer_array)

[2 4 5 6 7 8]

#view dtype of array
print(rounded_down_integer_array.dtype)

int32

Notice that each float has been rounded down to the nearest integer and the new array has a dtype of int32.

Example 2: Convert Floats to Integers (Rounded to Nearest Integer)

The following code shows how to convert a NumPy array of floats to an array of integers in which each float is rounded to the nearest integer:

#convert NumPy array of floats to array of integers (rounded to nearest)
rounded_integer_array = (np.rint(float_array)).astype(int)

#view array
print(rounded_integer_array)

[2 5 5 6 8 8]

#view dtype of array
print(rounded_integer_array.dtype)

int32

Notice that each float has been rounded to the nearest integer and the new array has a dtype of int32.

Example 3: Convert Floats to Integers (Rounded Up)

The following code shows how to convert a NumPy array of floats to an array of integers in which each float is rounded up to the nearest integer:

#convert NumPy array of floats to array of integers (rounded up)
rounded_up_integer_array = (np.ceil(float_array)).astype(int)

#view array
print(rounded_up_integer_array)

[3 5 6 7 8 9]

#view dtype of array
print(rounded_up_integer_array.dtype)

int32

Notice that each float has been rounded up to the nearest integer and the new array has a dtype of int32.

Additional Resources

The following tutorials explain how to perform other common tasks in NumPy:

How to Fill NumPy Array with Values
How to Remove Specific Elements from NumPy Array
How to Replace Elements in NumPy Array
How to Get Specific Row from NumPy Array