The attributeerror: module ‘numpy’ has no attribute ‘int’ appears while you are using the NumPy library in your Python script.
In this article, we show you the different solutions to this error attributeerror: module numpy has no attribute int. Aside from that, we will discuss why this error occurs and how to fix it.
What is “attributeerror: module ‘numpy’ has no attribute ‘int'” error?
The error “attributeerror: module numpy’ has no attribute int” means that you are trying to access the “int” attribute of the numpy module, however the numpy does not have that attribute.
In addition to that, this error usually occurs when you have mistakenly tried to access a non-existent attribute of a module.
What are the causes of “attributeerror: module ‘numpy'” has no attribute ‘int’ error?
- If you have misspelled the attribute name or used an incorrect attribute name for the numpy module.
- If you are using an old version of numpy that does not support the “int” attribute. The “int” attribute was introduced in numpy version 1.13.0.
- If there are other modules or packages in your Python environment with the same name as the numpy module, it is one of the reason that makes conflicts when you try to import or use numpy.
- If your numpy installation has been corrupted or incomplete, it prevents you from accessing the “int” attribute or other numpy functions and attributes.
Furthermore, if you are using NumPy version 1.24.0, the “numpy.int” attribute has been removed or deprecated, not just int() but also object() and float().
The table shows aliases that have been deprecated in NumPy, and it shows how you are going to handle the deprecated types:
| Deprecated | Python types | NumPy scalar types for precision |
|---|---|---|
numpy.bool | bool | numpy.bool_ |
numpy.int | int | numpy.int_ (default), numpy.int64, or numpy.int32 |
numpy.float | float | numpy.float64, numpy.float_, numpy.double (equivalent) |
numpy.complex | complex | numpy.complex128, numpy.complex_, numpy.cdouble (equivalent) |
numpy.object | object | numpy.object_ |
numpy.str | str | numpy.str_ |
numpy.long | int | numpy.int_ (C long), numpy.longlong (largest integer type) |
numpy.unicode | str | numpy.unicode_ |
How to fix “attributeerror: module ‘numpy'” has no attribute ‘int’ error
Here are the effective solutions you may use for fixing the attribute error.
1. Replace numpy.int
import numpy as np
result= np.int(100) This code above will result in an error because numpy.int or np.int have been deprecated. You can solve this error by replacing numpy int with int.
import numpy as np
result= int(100) Note: If ever you just need to use older aliases, you may need to downgrade your NumPy version to v1.23.5 or below. Just make sure that it won’t affect other modules in your Python script because it might not be compatible with that version.
2. Check your Python script
Check your Python script to make sure that you are using the correct attribute name for numpy. For instance, if you are trying to use the “int” attribute of numpy to convert an array to integers, use “numpy.astype(int)” instead.
3. Restart the Python interpreter
In some cases, restarting the Python interpreter can help fix errors. Just close your Python interpreter, reopen it, and try running your Python script again.
Frequently Asked Questions
What is Python AttributeError and what causes it?
AttributeError is raised when you access an attribute or method that doesn’t exist on the object. Most common cause: calling a method on None (NoneType has no attribute X). Other causes: typo in method name, wrong object type (str when you expected list), or using a feature removed in a newer library version. The error names exactly which type and which missing attribute.
How do I fix ‘NoneType object has no attribute’?
The variable you’re accessing is None, but you expected an object. Trace back to where it was assigned: a function returning None instead of an object (forgot to return), a database query returning no rows (Model.objects.first() returns None when empty), or an API call that failed silently. Safe pattern: if obj is not None: obj.method() OR use the walrus operator: if (obj := get_obj()): obj.method().
How do I check if an attribute exists before accessing it?
Use hasattr(obj, ‘attr_name’) for runtime check, or getattr(obj, ‘attr_name’, default) to get-with-default. For frequent attribute checks, consider type hints + mypy/pyright which catch most AttributeErrors at static-analysis time before runtime.
How do I prevent AttributeError from None values?
Three patterns: (1) Always validate function returns (if result is None: raise). (2) Use type hints with Optional[X] to make None-ability explicit. (3) Use the walrus operator + early return: if (val := get_val()) is None: return default; use val. Defensive coding around None-able returns prevents 90% of AttributeError in production.
Where can I find more AttributeError fixes?
Browse the AttributeError reference hub for 170+ specific fixes (NoneType, pandas, NumPy, sklearn, Selenium). For related errors see TypeError. For Python debugging fundamentals see Python Tutorial hub.
Related Articles for Python Errors
- Attributeerror: module ‘cgi’ has no attribute ‘escape’
- Attributeerror: module ‘cv2’ has no attribute ‘_registermattype’
- Attributeerror: module ‘tensorflow’ has no attribute ‘configproto’
Conclusion
This article provides solutions for the attributeerror: module ‘numpy’ has no attribute ‘int’, which is a big help in solving the problem you are currently facing.
Thank you very much for reading to the end of this article. Just in case you have more questions or inquiries, feel free to comment, and you can also visit our website for additional information.
Caren Bautista
Technical Writer at PIES IT Solution
Responsible for crafting clear, well-structured, and beginner-friendly content across the platform. Handles the writing, proofreading, and editorial review of tutorials, guides, and documentation to ensure every article is accurate, readable, and easy to follow.
Expertise: Technical Writing · Content Creation · Documentation · Editorial Writing · JavaScript · TypeScript · Python · Python Errors · HTTP Errors · MS Excel · View all posts by Caren Bautista →