I'm using Azure Databricks with Python. Among other things, I'm using the umap and numpy modules. When I try import umap.umap_ as umap
, I get this error:
ImportError: Numba needs NumPy 1.22 or greater. Got NumPy 1.21.
Ok, so just update numpy, right? I ran !{sys.executable} -m pip install numpy --upgrade
and it worked. Numpy now shows version in the module explorer:
But when I try the umap import again I get the same error as before, telling me it needs 1.22+. That requirement is met, although it seems like the 1.26 version is not being loaded. I have tried getting the proper version loaded using this:
import pkg_resources
pkg_resources.require("numpy==1.26.0")
import numpy as np
Still no luck. That gives:
VersionConflict: (numpy 1.21.5 (/databricks/python3/lib/python3.9/site-packages), Requirement.parse('numpy==1.26.0'))
So how do I do this?
Yes even though you install numpy==1.26.0
it still shows you numpy==1.21.5
.
Actually, numba requires numpy<1.26,>1.22.
So install numpy==1.24.0
in cluster libraries configuration and re-attach the notebook.
Now you will get correct numpy module and you can import umap
successfully.
and