willfurnass
commented
6 years ago Hi @kuchenrolle. Apologies that no-one's got back to you about this yet. I've also been keen to have a play with altair.
I think for now it is probably simplest if we stick to trying to get altair working with the traditional Jupyter Notebook interface rather than JupyterLab: I haven't yet looked into upgrading the JupyterHub setup on ShARC so it supports JupyterLab.
I haven't got Altair working with Jupyter Notebooks on ShARC yet but have investigated a few options (notes, primarily for my own benefit, can be found below). I can continue looking into this but it won't be before next Weds (2018-04-18). If we're lucky the 2.0.0 release candidate will have been superseded by the proper 2.0.0 release by then.
Here's what I've tried based in part on these instructions:
qrshx
module load apps/python/conda
# Create and activate a simple environment containing just python 3.6 + dependencies
conda create -y -n altair-test python=3.6
. activate altair-test
# Install numpy and pandas from conda (if required) as that way we get numpy built against the MKL (we would not if installing using pip)
conda install -y pandas numpy # install using conda and not pip so built against the MKL
# Install a recent 'notebook' package from conda-forge:
conda config --append channels conda-forge # Add conda-forge as lowest priority channel; needed for recent 'notebook' version
conda install -y notebook==5.4.1
# Install release candidate of altair 2.0.0
pip install altair==2.0.0rc1 # to get the 2.0 release candidate as not yet available from conda-forge
# Install vega3 package - required if going to use altair from a Jupyter Notebook
pip install vega3
# jupyter nbextension install --sys-prefix --py vega3 --> not needed as notebook version >= 5.3
# NB need to add `alt.renderers.enable('notebook')` if want to use Altair from a Jupyter NotebookThis all installs fine but when I try to run the example from the Altair+Jupyter Notebook installation instructions:
import altair as alt
from vega_datasets import data
# for the notebook only (not for JupyterLab) run this command once per session
alt.renderers.enable('notebook')
iris = data.iris()
alt.Chart(iris).mark_point().encode(
x='petalLength',
y='petalWidth',
color='species'
)... only a text representation of the plots is rendered.
I then tried explicitly enabling the vega3 nbextension (even though the altair install instructions said it wasn't needed if notebook>=5.3) but that didn't help.
I then noticed that the Javascript console complained that:
Could not cross validate the widget frontend and backend versionsand backtraces made reference to jupyter-js-widgets, which I think may be related to the ipywidgets package. I tried installing ipywidgets then installed and enabled the widgetsnbextension Javascript library:
$ pip install ipywidgets
$ jupyter nbextension install widgetsnbextension --py --sys-prefix
$ jupyter nbextension enable widgetsnbextension --py --sys-prefixbut that didn't help either.
kuchenrolle
I'm trying to install altair, a visualization library that is intended to be used with jupyterlab (successor of jupyter notebook). My installation fails at the last step, which is installing the vega3 extension that is required in order to render the graphics. The interactive session from which I'm trying to install it on sharc simply quits, I have no idea why.
The official installation instructions can be found here - installation via conda does not work as the release candidate is not available there (hence installation via pip) and jupyterlab 0.32 is also not released yet, so the plugin needs to be installed manually:
Steps to Reproduce
(on sharc; in an interactive session)
(6 fails, session quits)
Expected Behaviour
The installation should run through and the example from the official installation instructions should result in the rendered output.
On my local machine, the steps above run through perfectly and the library works as desired.
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