How to Check NumPy Version Installed in Your Environment

You can check the installed numpy version by running numpy.__version__ in Python. Alternatively, use pip show numpy in your command line to see the version details.

Syntax

To check the NumPy version in Python, use the attribute __version__ from the numpy module.

• numpy.__version__: Returns the version string of the installed NumPy package.

python

import numpy
print(numpy.__version__)

Output

1.24.3

Example

This example shows how to import NumPy and print its version. It helps confirm which version is currently installed in your Python environment.

python

import numpy
version = numpy.__version__
print(f"Installed NumPy version: {version}")

Output

Installed NumPy version: 1.24.3

Common Pitfalls

Sometimes users try to check the version without importing NumPy first, which causes an error. Also, using pip list might show multiple versions if you have several Python environments.

Always ensure you run the version check in the same environment where your code runs.

python

try:
    print(numpy.__version__)
except NameError:
    print("Error: NumPy is not imported. Please import numpy first.")

# Correct way:
import numpy
print(numpy.__version__)

Output

Error: NumPy is not imported. Please import numpy first.
1.24.3

Quick Reference

Method	Description	Example Command
Python attribute	Check version inside Python code	import numpy; print(numpy.__version__)
Command line pip	Check version via pip in terminal	pip show numpy
Command line pip list	List all installed packages with versions	pip list | grep numpy

Key Takeaways

Use numpy.__version__ in Python to get the installed NumPy version.

Always import NumPy before checking its version to avoid errors.

You can also check the version from the command line using pip show numpy.

Make sure you check the version in the correct Python environment.

Using pip list helps see all installed packages and their versions.