This question already has answers here:
How to connect R conda env to jupyter notebook
(3 answers)
Closed 2 years ago.
I'm trying to be able to code in R within a Jupyter Notebook IDE. I followed the instructions on this site very carefully: website link
But after installation, I open jupyter notebook from newly created R environment in Anaconda navigator >> go to New in Notebook >> there is no option to select R. Only Python 3.
Run these two commands in your terminal-
conda config --add channels r
conda install --yes r-irkernel
Related
This question already has answers here:
Conda environments not showing up in Jupyter Notebook
(24 answers)
Closed 1 year ago.
I'm currently working on an hpc system where I have to need to change the default path for Jupyter that points to the correct path where my Conda environment is based out of.
The problem: When trying to run Jupyter it points to the default and I'm not able to use any of the packages set up in my own Conda environment. (e.g. pandas, sci-kit).
Question: How can I set up my Jupyter path so it points to where my Conda environment, in other words set up environment and then call the correct "/where/ever/jupyter $#" itself
Hope this was clear enough.
You need to install ipykernel:
conda install -c anaconda ipykernel
and then:
python -m ipykernel install --user --name=<YOUR_CONDA_ENV>
after that you'll be able to select your conda environment as the jupyter kernel on the dropdown (upper right corner):
I wanted to ask how to repair kernel connection for R in jupyter notebook,
I am able to run R in Rstudio and python in jupyter notebook, I used to write R in jupyter notebook but after some updates(I dont know what updates) R stop working in jupyter notebook.
I would like to ask for some advices - I would like to run it without reinstalling it
I also folled some question on stackoverflow and on google but it was not helpfull.
I attached images of what errors it returns
I did try: $ conda install -c r r-irkernel
I have jupyter notebook installed, I also have R installed. Both work fine independently.
When I run jupyter with jupyter notebook, then try to open an ipynb file, I see
The only option in the dropdown is Python 3 (R is not an option).
Question
How do you open a jupyter notebook with an R kernel (on mac)?
Note
I tried jupyter notebook --runtime-dir /usr/local/bin/R but that was just guessing
Looks like the R kernel could be installed via pip?
Open any R session (e.g. in RStudio is fine, or open terminal/bash and type R to start an R session).
Install the kernel with:
install.packages("devtools")
devtools::install_github("IRkernel/IRkernel")
IRkernel::installspec()
Close and reopen the notebook and the R kernel will now be available.
If the R kernel does not appear as an option within a Jupyter notebook even after installing R, and one is using Anaconda, bringing up the conda prompt from the Start menu (Windows 10), and running the following commands may do the trick:
conda config --add channels r
conda install --yes r-irkernel
Credit to this post.
This question already has an answer here:
Jupyter Notebook Opening but no contents are visible
(1 answer)
Closed 3 years ago.
I installed python 3.7.2 version and jupyter notebook with pip command.
All programs and modules are successfully installed and enter the "jupyter notebook" into my folder's domain.
And I copied the URLs and paste to my chrome browser.
But, default pages didn't appear anything.
How can I fix this problem?
I need your help...
Please refer to https://github.com/jupyter/notebook/issues/4467
I encounter similar trouble. So I just do 3 steps:
uninstall Jupyter Notebook 5.7.6:
conda uninstall notebook
install old version:
conda install notebook=5.7.4
After lauching Jupyter Notebook 5.7.4:
Press CTRL+R or CTRL+Shift+R to clear the cache
Then Jupyter Notebook works normally now.
Hope it's helpful to you.
I use conda python environment. I start the Jupyter lab following the steps below:
$conda activate <env_name>
$jupyter lab --no-browser --port=8080 &
Now, from a jupyter lab notebook, when I try to import feather (import feather), it fails with Module Not Found message.
From the jupyter lab notebook, if I execute the following, it shows me that feather is present:
! conda list | grep feather
Now, if I shutdown Jupyter Lab in the same VM and start Jupyter Notebook instead, feather gets imported successfully from the notebook.
$conda activate <env_name>
$jupyter-notebook --no-browser --port=8080 &
I see this discussion, but don't see a solution there.
Alternatively, check your path from within your Jupyter notebook vs on the command line. I found that appending the module paths to sys.path solved this exact issue.
All of the ~/anaconda3/envs/[env]/lib/python3.7* paths were missing in my case.
I have found a possible work around to avoid this issue. This is based on this answer.
From the conda environment (e.g. my_env), I can create a new Python 3 kernel (say, python3_custom). Now, this kernel will be associated with all the libraries installed in that conda environment.
$ conda activate my_env
(my_env)$ conda install ipykernel
(my_env)$ ipython kernel install --user --name=python3_custom
(my_env)$ conda deactivate
I come out of my_env or base environment. Then I start JupyterLab from the command prompt:
jupyter lab --no-browser --port=8080 &
Once I open my notebook now, I can select the kernel as python3_custom. Since in the associated conda environment (my_env), feather is already installed, I don't get the error "Module Not Found" any more.