1597113 : pandas and pytables on jhub¶
Created: 2026-04-29T13:59:32Z - current status: new¶
Here’s the anonymized and summarized version of the query:
Summary¶
The user is inquiring about the recommended method to install PyTables (for HDF5 support with pandas) in JupyterHub on the Maxwell cluster. They are aware of the kernel creation instructions but seek clarification on:
1. Whether to use the JupyterHub-provided Python version to install ipykernel and create a local kernel.
2. If there are alternative or preferred approaches beyond running commands from within a notebook.
Solution¶
Recommended Approach¶
- Use a Virtual Environment
The safest and most maintainable way to install additional packages like
pytablesis to create a virtual environment (e.g., usingvenvorconda) and install the package there. This avoids conflicts with system-wide or JupyterHub-provided packages.
Steps:
- Load the desired Python module (e.g., python3.12):
bash
module load maxwell python/3.12
- Create and activate a virtual environment:
bash
python3.12 -m venv myenv
source myenv/bin/activate
- Install pytables and other dependencies:
bash
pip install pytables pandas
- Install ipykernel and register the kernel with JupyterHub:
bash
pip install ipykernel
python3 -m ipykernel install --name myenv --display-name "MyEnv (PyTables)" --user
-
Alternative: Use
--userFlag If a virtual environment is not desired, installpytablesdirectly into the user space (though this may lead to dependency conflicts):bash <jhub-python> -m pip install pytables --userThen create the kernel as shown in the query. -
Verify Kernel Availability After installation, the new kernel (
MyEnv (PyTables)) should appear in the JupyterHub launcher.
Key Notes¶
- Avoid modifying system-wide Python: Always prefer virtual environments or
--userinstalls to prevent breaking existing setups. - Check for existing kernels: Some Maxwell-provided kernels (e.g.,
Python 3.9) may already includepytables. Verify with:bash module load maxwell mamba mamba list | grep pytables