Comments (2)
This is a bug with jedi and the latest numpy.
See davidhalter/jedi#1864
Should automatically be fixed once there is a new jedi version.
If you want to patch it manually earlier, I guess you can go to anaconda-mode-installation-directory
and update/patch the jedi version installed in this virtualenv.
from anaconda-mode.
Thank you very much for the answer.
I was testing anaconda-mode and starting with numpy. I assumed that it was not going to work for any other python library, but didn't test it.
I'll wait for jedi to update.
from anaconda-mode.
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from anaconda-mode.