Pyenv local # check which version you are using Pyenv local 3.10 # set your current session to use 3.10.x Pyenv global 3.9 # set your global to use 3.9.x So you can either first set a good global version pyenv install -list # show installable versions Pyenv will try to be smart and install them in the packages defined for the version you installed i.e./.local/lib/python3.10/site-packages in the case for 3.10.x this shows where pyenv is linking the packages to.

A conda package for pyGPlates is being developed.Ī summary of all the commands are below.First look at shims. Now you should have a working pyGPlates installation with additional dependencies required to for scientific Python applications! Additional details on installing pyGPlates can be found here. Install any additional dependendies (that don’t have a conda forumla) using pip: pip install PlateTectonicTools.In my case conda develop /Users/ben/Downloads/pygplates_0.35.0_p圓9_Darwin-arm64 Link to your pygplates installation using the python path you wrote down at step 1.Then you should be able to install your Python packages: conda install numpy scipy netcdf4 geopandas pandas cartopy jupyter rasterio conda-build.Some packages require additional dependencies such as compilers and mapping libraries outside of conda (I’m looking at you GDAL!) To do this install homebrew, then run brew install qt5 gcc gdal cgal.Activate your new python environment with conda activate pygplates.

Install conda (we recommend miniforge) and create a new environment e.g.Download and install the latest pygplates version corresponding to your system architecture (Mac M1 ARM) and take note of the installation directory and python path.We will use conda and brew to install packages:

Instead, these instructions will get you a fully functioning scientific Python environment working natively on M1 architecture. Some instructions I have seen have recommended installing the x86 (Intel) packages, but there is a performance penalty when x86 programs are interpreted by Rosetta2 to work on the M1 Macs. are all ARM-based there are some differences to be aware of when installing your Python environment. The new Mac M1 processors are pretty cool, and are enough to convert this veteran Linux user to Mac.

Brew install pip