Hi
My preferred form of working with pygmt has been on google colab, though I have been encountering problems since the latest updates.
It seems it has to do with the numpy versions, but I do have the newest version of it. In spite of that, I used the ‘numpy.version’ command right after importing numpy, and it seems that colab imports version 1.26.0, even though the latest versions are 2.2.0 or above. I tried to follow some steps I found online to have an environment in my google drive, and then load it, but to no success.
For what I understand, pygmt also imports numpy on its own, but I’m not sure what that data flow is like.
The following error message and screenshot are from the very colab notebook “python-demo-google-colab.ipynb”
I hope you can help me use it with colab again!
Thanks in advance
Regards,
Iván
ModuleNotFoundError Traceback (most recent call last)
in <cell line: 0>()
1 # Load the PyGMT package. This only needs to be run once
----> 2 import pygmt
9 frames
/usr/local/lib/python3.11/site-packages/xarray/core/nputils.py in
14 # remove once numpy 2.0 is the oldest supported version
15 if module_available(“numpy”, minversion=“2.0.0.dev0”):
—> 16 from numpy.lib.array_utils import ( # type: ignore[import-not-found,unused-ignore]
17 normalize_axis_index,
18 )
ModuleNotFoundError: No module named ‘numpy.lib.array_utils’
