In this article, we will explore how to solve Modulenotfounderror: no module named numpy.core._multiarray_umath error.
We will provide various solutions to resolve it along with understanding what is no module named numpy.core._multiarray_umath.
Technically, this usually occurs because of the outdated python or numpy versions.
Now let’s get started and fix this…
What is no module named ‘numpy.core._multiarray_umath’?
The no module named ‘numpy.core._multiarray_umath’ error can occur when you try to import the numpy library in your Python code.
However, the numpy module is either not installed or not properly installed in your system.
Furthermore, ‘_multiarray_umath’ module is a core component of the numpy library that handles multi-dimensional arrays and mathematical operations on them.
How to solve modulenotfounderror: no module named ‘numpy.core._multiarray_umath’
Here are the possible solutions you may believe to follow in order to fix Modulenotfounderror: no module named numpy.core._multiarray_umath error.
- Install the latest version of Numpy
The first step to fix this error is install numpy and python on your system.
Make sure it’s the latest version. Use the command as follow:
pip3 install numpy –upgrade
- Upgrade Numpy packages
If your other packages depend on numpy it needs to be updated on the latest version.
Namely, the packages that depend on numpy are pandas, scikit-learn, scikit-image, tensorflow, scipy, and matplotlib.
Use these commands to upgrade your outdated packages:
pip freeze | grep -v ‘^\-e’ | cut -d = -f 1 | xargs -n1 pip install –upgrade
For pip3:
pip3 freeze | grep -v ‘^\-e’ | cut -d = -f 1 | xargs -n1 pip install –upgrade - Upgrade pip
Not only the package needs to be upgraded but also the pip as well.
Use the following commands to execute this:
python -m pip install –upgrade pip
For Python 3:
python3 -m pip install –upgrade pip - Check numpy version
This time make sure your numpy version is 1.22x or above to completely remove the errors.
To check the version of your numpy you can do this command:
pip3 show numpy
Conclusion
This article already provided you with the solution to the error Modulenotfounderror: no module named numpy.core._multiarray_umath.
If you follow the solution, it will solve the error that you are facing right now. It is a simple solution, yet literally effective in solving the error.
We hope that this article has provided you with the information you need to fix this error and continue working with Python packages.
If you are finding solutions to some errors you’re encountering we also have Modulenotfounderror: no module named ‘pandas_datareader’
Frequently Asked Questions
What is Python ModuleNotFoundError and what causes it?
ModuleNotFoundError (a subclass of ImportError) is raised when Python cannot find the module you tried to import. Common causes: the package isn’t installed (pip install missing), wrong virtual environment activated, typo in module name, or Python can’t find your local module on the import path. The error message names exactly which module is missing.
How do I fix ‘ModuleNotFoundError: No module named X’?
Run pip install X first. If that succeeds but you still get the error, check which Python you’re using (which python OR python –version) vs which pip (which pip OR pip –version), they must match. Common gotcha: pip points to system Python 3.9 but you’re running python3.11 in a venv. Inside the venv, use python -m pip install X to be sure pip matches the active Python.
Why does my code work in one environment but not another?
Different Python versions or different installed packages. To diagnose: pip freeze > requirements.txt on the working environment, then pip install -r requirements.txt on the broken one. Use virtualenv (python -m venv venv) or conda for every project to avoid system-wide package collisions.
Is ModuleNotFoundError the same as ImportError?
ModuleNotFoundError is a subclass of ImportError added in Python 3.6. It specifically means ‘no such module exists.’ Plain ImportError covers a wider set: module exists but a name inside it can’t be imported (e.g. ‘cannot import name X from Y’). except ImportError catches both; except ModuleNotFoundError catches only the missing-module case.
Where can I find more ModuleNotFoundError fixes?
Browse the ModuleNotFoundError reference hub for 198+ specific module fixes (TensorFlow, Flask, Django, pandas, numpy, etc.). For related issues see ImportError. For broader Python setup see Python Tutorial hub.


