How to convert a float array to int in Python – NumPy
By Saruque Ahamed MollickLearn how to convert float array to int in Python. We will learn how to change the data type of an array from float to integer.
In my previous tutorial, I have shown you How to create 2D array from list of lists in Python.
I will also show you how you can round it off to the nearest integer value.
Convert NumPy float array to int in Python
Here we have used NumPy Library.
We can convert in different ways:
- using dtype=’int’
- using astype(‘int’)
- np.int_(array)
Let’s understand this with an easy example step by step.
At first, we need a list having float elements in it.
codespeedy_float_list = [45.45,84.75,69.12]
Now let’s convert this list from float to int.
array_int = np.array(codespeedy_float_list, dtype='int')
Program to convert float array to int:
import numpy as np codespeedy_float_list = [45.45,84.75,69.12] array_int = np.array(codespeedy_float_list, dtype='int') print(array_int)
Output:
$ python codespeedy.py [45 84 69]
Round off the floating numbers in a NumPy array to the nearest integer values
import numpy as np codespeedy_float_list = [45.45, 84.75, 69.12] rounded_int_list = [int(round(x)) for x in codespeedy_float_list] array_int = np.array(rounded_int_list, dtype='int') print(array_int)
Output:
[45 85 69]
Convert using astype(‘int’)
Let’s achieve our goal with a different technique.
import numpy as np
codespeedy_float_list = [45.45,84.75,69.12]
codespeedy_array = np.array(codespeedy_float_list)
print(codespeedy_array.astype('int'))
Output:
$ python codespeedy.py [45 84 69]
Convert float to int array using np.int_
Here we have another way;
import numpy as np codespeedy_float_list = [45.45,84.75,69.12] codespeedy_array = np.array(codespeedy_float_list) print(np.int_(codespeedy_array))
Output:
$ python codespeedy.py [45 84 69]
Also, learn,
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