I am having issues creating a Jupyter Notebook inside a subdirectory. Instead of creating in the subdirectory, it creates in the root path.
Let me exemplify. Let us suppose that I have the following path structure:
Then, I open Subdirectory_1 and asks it to create a Notebook.
But instead of creating it in the Subdirectory_1, it creates in the root path.
And these are the log messages:
There is a problem with the nbextensions/widgets/notebook/js/extension.js
Try to update or install again the package :
conda update -c conda-forge ipywidgets
Then this:
jupyter nbextension enable --py widgetsnbextension
source : Github
As #thomas-k mentioned in the comments:
There was a bug in notebook 5.3. It should be fixed in 5.4, which is out now on PyPI. Conda packages should follow soon.
More info on this GitHub issue.
Related
What happened:
I have had Pip and Anaconda installed on my Mac. I tried to tidy up and decided to delete Anaconda since I assumed I only needed Pip for my Python programming.
My question:
I have been using jupyter notebook for my university project. Apparently, it had been installed by me using anaconda. Now that anaconda is gone, when I try running jupyter notebook, it is still looking in the deleted anaconda directory and throws the following error in the command line
/Users/username/anaconda3/bin/jupyter: No such file or directory
Furthermore, I now get this error when installing jupyter using pip3:
WARNING: The scripts jupyter, jupyter-migrate and jupyter-troubleshoot are installed in '/Users/username/Library/Python/3.8/bin' which is not on PATH.
Unfortunately, I barely have an idea of what I am doing when installing anything using the command line. Could you help me out in fixing the issue?
i am trying to launch conda from the terminal on windows.
From the relevant folder ('Desktop > Course'), i installed the jupyter notebook ('pip install jupyter notebook') and 'nb_conda' ('conda install nb_conda'). Then i open the jupyter notebook by entering the command 'jupyter notebook'.
So far so good.
But when i go in the 'Conda' tab on the jupyter notebook, after 2 second i get the message ''EnvironmentLocationNotFound: Not a conda environment: Desktop > Course'
Why is that ?
It worked for me as well on Windows 10.
Some time ago, I installed Python. Later on, I installed Anaconda to run pandas_datareader, etc. It didn't work. Reinstallation didn't help, either. Then I cleaned all installation of Python and Anaconda and started from scratch.
I made a fresh new installation of Anaconda:
Then I ran the command line as admin
I proceed:
conda update conda
conda update anaconda-navigator
I went to "Environments" in the Anaconda Navigator
Then clicked on "Update Index" in the middle top
I waited for it to finish
Then, I went back to "Home" and launched the Jupyter
It seems like the environment was inconsistent, at least that was the message of conda update.
Not saying this is the right answer but this worked for me:
I went to "Environments" in the Anaconda Navigator
Then clicked on "Update Index" in the middle top
Waited for it to finish and went back to "Home"
Was able to launch Jupyter Notebook just fine.
There are two solutions-
1 - (not personally recommended) This is because you have probably not created the conda environment. For creating a new environment with all the dependencies look here- https://github.com/Anaconda-Platform/nb_conda
2 - (personally recommended) Install the complete anaconda distribution from here- https://github.com/Anaconda-Platform/nb_conda (check for windows and download for the python of your choice). After that either you can create a virtual environment and launch your jupyter from there or directly launch from the base environment. This will take care of all the dependencies and also it will help in all your future endeavors.
While following 2nd suggestion, make sure to uninstall all your previous python installations. Give it a fresh installation and while installation make sure to tick the box where it asks for adding conda to the system path.
Good Luck.
You could try using the command prompt from anaconda. This might solve your problem
I had the Not a conda environment error when re-installing conda while having the environment activated.
So I want to avoid using anaconda. How can I download packages into an ipykernel I made? I have the location, I just don't know how to activate ipykernels. I see the option for making a new .ipynb file once I'm within the jupyter API but this doesn't help me add the libraries I want to keep isolated on my machine.
you can install packages inside jupyter note book by
!pip install pandas("Your package name")
in a cell and run it
I isolate my data science projects into virtual environments using pipenv. However, running a Jupyter notebok does not access the local environment and uses the default IPyKernel. I've seen that you can register virtual environments from within the environment, but this requires installing the ipykernel package which itself requires Jupyter!
Is there anyway to avoid this and just use a single Jupyter install for all virtual environments?
Generally, you'd install jupyter once and do the following in your virtual environments:
pip install ipykernel
python -m ipykernel install --user
This isn't enough when you're running multiple Python versions.
There's a guide here that tries to address this:
https://medium.com/#henriquebastos/the-definitive-guide-to-setup-my-python-workspace-628d68552e14
It's not 100% failsafe, but it can help you avoid reinstalling jupyter notebook all the time.
I found that there are few problems when reinstall jupyter for each environment separately: i.e. pip install jupyter jupyterlab in new environments.
I had multiple issues (with and without Conda), where Jupyter would install packages to a different python environment when you use !pip install a_package_name within a cell. The shell environment still kept track of the non-environment python, and you can tell this by comparing the outputs of !which python and
import sys
sys.executable
Therefore, when you tried to import the package, it would not be available, because the cells used the environment python/ kernel (as it detected the venv directory).
I found a workaround that I'd appreciate feedback on. I changed pipenv to install virtual environments into the working directory by add to .bashrc/.bash_profile:
export PIPENV_VENV_IN_PROJECT=1
Now when opening a Jupyter notebook, I simply tack on the virtual environment's packages to the Python path:
import sys
sys.path.append('./.venv/lib/python3.7/site-packages/')
Is this a terrible idea?
I installed pytorch using anaconda3 and my created virtual conda environment named 'torchTest'.
I installed all the modules needed but, codes doesn't work in jupyter python.
I installed torchtext using
1.pip install https://github.com/pytorch/text/archive/master.zip
2.and also pip install torchtext too.
all I mentioned successfully downloaded in my MAC OS X, but can't get what's wrong with my Jupyter notebook..
After having the same issue with torchtext from within my jupyterlab, I opened an issue on Github at the jupyterlab project as well as at the torchtext repository.
My current solution is to add the PYTHONPATH from the Anaconda env.
The Anaconda path is usually like that $HOME/anaconda/bin
You can add it from within Jupyter Lab/Notebook like that:
import sys
sys.path.append("/some/path/to/add")
import torchtext