How to get the pandas version in Python with numpy >= 2.0.0 installed

Question

One usually gets the pandas version in Python as follows:

import pandas
print(pandas.__version__)

However if numpy version 2.0.0 or higher is installed, and the pandas version is < 2.2.2 it typically crashes as follows on the import statement:

Is there a clever way to check the pandas version (within Python) in order to warn the user of this incompatibility instead of the user-unfriendly traceback dump?

You could use a try: ... except ValueError: ... to catch the error pandas is throwing. — Nick ODell
– Nick ODell, Commented Sep 25, 2024 at 17:52
Okay, I can trap it that way but I would also like the pandas version number within the message. — Aendie
– Aendie, Commented Sep 25, 2024 at 18:04
You can get a package's version without importing it using importlib: stackoverflow.com/questions/3524168/… — Nick ODell
– Nick ODell, Commented Sep 25, 2024 at 18:11

Himanshu Sharma · Accepted Answer · 2024-09-26 03:42:12Z

0

You can use try except block to catch the error and return. Sample code is as follows:

try:
    import pandas as pd
except ValueError as e:
    print(f"Import error: {e}")

answered Sep 26, 2024 at 3:42

Himanshu Sharma

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