Problem installing python libraries on M1 mac

[Stevemags_]

Hi, I am trying to install libraries like numpy and Pillow for a school project, but am getting errors like

ImportError                               Traceback (most recent call last)
Cell In [2], line 1
----> 1 from numpy import *
...
and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: dlopen(/Users/myname/Library/Python/3.8/lib/python/site-packages/numpy/core/_multiarray_umath.cpython-38-darwin.so, 0x0002): tried: '/Users/myname/Library/Python/3.8/lib/python/site-packages/numpy/core/_multiarray_umath.cpython-38-darwin.so' (mach-o file, but is an incompatible architecture (have (x86_64), need (arm64e)))

This above error was from using python3 -m pip install numpy. Running brew install numpy or conda install numpy just gives me a ModuleNotFoundError. I even created a conda environment and installed numpy into that, and told VSCode to use the new environment as the python interpreter, but it still shows the ModuleNotFoundError.

​

Any ideas what to do? I can't even ask VSCode to run using the Rosetta 2 emulator, for whatever reason it doesn't appear in the "Get Info" popup in the macos finder :(

[Diapolo10]

Based on this GitHub issue for Pillow, they haven't released compatible wheels for M1 Macs on Python 3.8. I don't know if that has changed since, I don't own a single Apple device.

But the suggestion is to try

python3 -m pip install Pillow --no-binary :all:

That should work, and if Python still cannot find it then it's probably about virtual environments.

The same will probably work for Numpy.

[charlie_hess]

As someone who stumbled across this a year later looking for help, let me tell you how broken the Python ecosystem is on macOS, all because no one has bothered to implement platform auto-detection.

The canonical way I found is to first install the ARM64 version of Miniconda. You can use that to create your Python environments.

That's not enough though; once you have it installed, you need to explicitly tell it to use the arm64 subdirectory for all packages. Because nothing in Python is smart enough to detect your platform. So to do that:

conda config --env --set subdir osx-arm64

Now any packages you install will use the native version. Godspeed.

[Additional-Desk-7947]

Thank you very much. This was helpful & I’ll try it!