Install root_pandas with miniconda on CERN lxplus: version `CXXABI_1.3.8' not found about root_pandas HOT 5 CLOSED

This question might be better suited to the NLeSC repository where that package is maintained:
https://github.com/NLeSC/root-conda-recipes/

That said I think you're using an old build of root as the NLeSC packages for root_numpy and root_pandas are outdated.

It is better to install root_pandas using pip, the following works for me:

conda create --name=test-plain-pandas-2 python=3.6
source activate test-plain-pandas-2
conda install root
source activate test-plain-pandas-2
conda install binutils
pip install root_pandas --no-binary root_numpy

from root_pandas.

Thank you very much for your reply. Indeed, installing with pip instead worked ! :)
Sorry for the noise, I guess I can close this issue. Hope this will be helpful to other people having the same problem.

from root_pandas.

I'm sorry to reopen this issue. Your solution seemed to work, but now matplotlib is not working any more :(
If I install it either with
conda install matplotlib
or with
pip install matplotlib
When I do:
from matplotlib import pyplot
ImportError: /afs/cern.ch/work/f/fadesse/miniconda3/envs/angAna/lib/./libstdc++.so.6: version 'CXXABI_1.3.9' not found (required by /afs/cern.ch/work/f/fadesse/miniconda3/envs/angAna/lib/python3.6/site-packages/matplotlib/_path.cpython-36m-x86_64-linux-gnu.so)

It seems to me that this issue starts after installing root via
conda install root

Any idea what could make this happen ? Thx !

from root_pandas.

It would be better to report this issue to the NLeSC repository so they can actually fix it.

I think this is caused by NLeSC shipping packages which are incompatible with Anaconda 5 (as it is now based on gcc 7.2). This hack fixes it for me:

cd $CONDA_PREFIX/lib
rm libstdc++.so.6
ln -s libstdc++.so.6.0.24 libstdc++.so.6

If the file libstdc++.so.6.0.24 doesn't already exist, try conda install gxx_linux-64.

from root_pandas.

Thanks for making an issue upstream! 👍

(NLeSC/root-conda-recipes#32)

from root_pandas.