If for some reason you do need to do so, there are three easy ways to do it: It’s not supported anymore and it’s only a matter of time until nothing uses it anymore. Personally, I wouldn’t suggest worrying about making a virtual environment for Python 2 unless your employer makes you. NumPy 1.15.2 Release Notes - NumPy v1.21.dev0 This is really it right here. One decent option if you’re doing this a lot is pyenv. Or get another python3 version installed which is supported by that numpy version and use that in your new virtual environment. If you have 2.7 you could use that (working with virtual envs would be the right option here). If you do want to work through it I think you’ll need another version of Python installed.ĭo you already have any other versions of python installed other than 3.9? OSX used to include 2.7 (not sure if that’s the case now). It’s worth asking if you really need that specific version? If you’re just starting out python’s dependencies can be a whole lot to try and take in at once (even what I included below is quite tame). I think those lines there seem to sum up that particular issue though, that version of numpy just doesn’t support 3.9 - numpy=1.15.2 -> python Otherwise it could come to trip you up at unexpected times. It would be worthwhile having a web search about this to find useful guidance from anyone who has worked through it.
There may be some trouble when it comes to the more complex data science packages because of the ARM processor now used (which is less widely supported for now).
#Numpy for mac m1 install
I then tried to install a python 2 virtual env ( guide). To be incompatible with the existing python installation in your environment: UnsatisfiableError: The following specifications were found Retrying with flexible solve.Ĭollecting package metadata (repodata.json): doneįound conflicts! Looking for incompatible packages. Solving environment: failed with initial frozen solve. Virtualenv location: /Users/dileeparanawake/.local/share/virtualenvs/clean3-Dj5u4wm3Ĭollecting package metadata (current_repodata.json): done Looking at the error it might be due to the fact that numpy 1.15.2 requires a python 2 virtual env to run? ✔ Successfully created virtual environment!
Installation of miniconda worked but numpy failed. I have also tried to install numpy 1.15.2 via the Miniconda package manager as suggested here. Pip 21.0.1 from /Library/Frameworks/amework/Versions/3.9/lib/python3.9/site-packages/pip (python 3.9) 1.15.2īelow are my versions of python and pipenv ~ % python -version
#Numpy for mac m1 code
In the article you reference I found that the code python3.9 -m pip install -only-binary=:all: numpy=1.19.4 So I found this article which references the rosetta workaround I mention above (which worked, but not for older versions of numpy) # CLIB COMPILER OPTIMIZATION #ĬCompilerOpt._cache_write : write cache to path -> /private/var/folders/hk/hrdgtjf97nn876br60rct7ph0000gn/T/pip-install-txk9o_ip/numpy_0f9ab437afb74064bb95c3d2f2e172f4/build/temp.macosx-10.9-universal2-3.9/ccompiler_opt_cache_clib.pyĮRROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly errorĮRROR: Command errored out with exit status 1:Ĭommand: /Library/Frameworks/amework/Versions/3.9/bin/python3.9 doneīuilding wheels for collected packages: numpyīuilding wheel for numpy (PEP 517). The error is as follows: $ pipenv -version
#Numpy for mac m1 how to
I get an error trying to install numpy via terminal on m1 mac, Big Sur V11.2.3ĭoes anyone have any ideas on how to fix this? Any help would be appreciated I’m a complete beginner!
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