This error occurs if you try to call randint()
method on an integer. You can solve this error by not naming an object random, which will override the reserved name for the built-in module random.
For example,
import random my_int = 10 random_int = random.randint(1,10)
This tutorial will go through the error in detail and how to solve it.
Table of contents
AttributeError: ‘int’ object has no attribute ‘randint’
AttributeError occurs in a Python program when we try to access an attribute (method or property) that does not exist for a particular object. The part “‘int’ object has no attribute ‘randint’” tells us that the string object we handle does not have the attribute randint()
.
randint()
is a method of the random module that returns an integer between a specified range.
We can check if an attribute exists for an object using the dir()
function. For example,
my_int = 47 print(type(my_int)) print('randint' in dir(my_int))
<class 'int'> False
We can see that randint()
is not present in the list of attributes for the int
object.
Example
Let’s look at an example of reproducing the error.
# Import random module import random # Define integer random = 2900 # Attempt to print a random integer between 15 and 20 print(random.randint(15, 20))
Let’s run the code to see what happens:
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Input In [3], in <cell line: 5>() 1 import random 3 random = 2900 ----> 5 print(random.randint(15, 20)) AttributeError: 'int' object has no attribute 'randint'
The error occurs because we assigned an integer value to the variable name random
, which overrides the reserved name for the random module. We should not use the names of modules to define variables.
We can check the type of an object using the type()
function.
import random print(type(random)) random = 2900 print(type(random)) print(random.randint(15, 20))
<class 'module'> <class 'int'> --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Input In [6], in <cell line: 9>() 5 random = 2900 7 print(type(random)) ----> 9 print(random.randint(15, 20)) AttributeError: 'int' object has no attribute 'randint'
We can see that when we import random
and print the type, we get the type module
then, when we assign an integer to the name random
, the type of the object is int
. Therefore, when we try to call the randint()
method from the random
module, we are calling randint()
on the integer.
Solution #1
We can solve the error by naming the variable something other than the reserved name random
. Let’s look at the revised code:
import random print(type(random)) my_int = 2900 print(type(random)) print(random.randint(15, 20))
Let’s run the code to see the result:
<class 'module'> <class 'module'> 19
We did not override the name random
for the module and were able to call the random.randint()
method.
Solution #2
We can also solve the error by importing the randint
method from the random module using the from
keyword.
Using this approach, we do not need to change the variable name from random
. However, it is still good practice to not give variables reserved names.
Let’s look at the revised code:
from random import randint random = 2900 print(type(random)) print(randint(15, 20))
Let’s run the code to see the result:
<class 'int'> 18
Summary
Congratulations on reading to the end of this tutorial!
For further reading on AttributeErrors, go to the article:
- Python AttributeError: ‘list’ object has no attribute ‘split’
- How to Solve Python AttributeError: ‘int’ object has no attribute ‘sort’
- How to Solve Python AttributeError: ‘int’ object has no attribute ‘strip’
To learn more about Python for data science and machine learning, go to the online courses page on Python for the most comprehensive courses available.
Have fun and happy researching!
Suf is a senior advisor in data science with deep expertise in Natural Language Processing, Complex Networks, and Anomaly Detection. Formerly a postdoctoral research fellow, he applied advanced physics techniques to tackle real-world, data-heavy industry challenges. Before that, he was a particle physicist at the ATLAS Experiment of the Large Hadron Collider. Now, he’s focused on bringing more fun and curiosity to the world of science and research online.