I have created a virtual environment using the following commands:
python3 -m venv venv
.\venv\Scripts\activate.bat
pip3 install ipykernel
pip3 install jupyter
python3 -m ipykernel install --user --name=venv
I have created a Jupyter notebook using the venv that I created, but when I install a package in the virtual environment, it is not recognised in the notebook.
For example, I tried to install pandas using pip3 install pandas, but when I try and import it into my notebook I get the error ModuleNotFoundError: No module named 'pandas'
The module has installed in the right place venv\Lib\site-packages\pandas\
Any ideas on what I should do?
EDIT:
I noticed that even though I created the notebook using the venv, it uses the normal python environment rather than the virtual one. Ideas on how to fix this?
Well I think I solved it. If ran the following command:
python -c "import IPython"
Which just installs IPython in my venv.
You need to restart the notebook kernel, it will probably work then.
In the future, in a notebook cell you can run
%%bash
pip install pandas
then you should be able to continue without restarting
Related
I'm running my Jupyter Notebook in a virtual environment.
I've installed pandas in it with pip3 install pandas (I've tried with sudo python3 -m pip install pandas in other venv and without sudo, too, like this other post suggests)
I've tried doing
export PYTHONPATH=/home/myuser/Notebooks/venv/lib/python3.8/site-packages
but the error remains (I've restarted the notebook kernel, as well). Any idea?
Maybe your are not installing pandas into the virtual environment correctly.
If you have access to a shell, you can possibly cd into the .venv folder.
Then you can run source ./bin/activate, after this there should be a (.venv) prefix in your shell window.
Now run your pip3 install pandas commando once again, this time it will install pandas into your virtual environment instead of your global python environment.
Installing packages from Notebook running this cell:
! pip install --user numpy
! pip install --user pandas
changing the kernel reselecting Python3 in Kernel -> Change kernel and restarting it, the problem was fixed!
I successfully installed pyrasterframes with pip in cmd, but when I try to import it in jupyter notebook I get the following error: "No module named 'pyrasterframes'". Could you help me please?
This issue solved by removing your specific environment from jupyter by the following instruction:
"jupyter kernelspec uninstall envname"
and then installing ipykernel and readding the environment to jupyter notebooks as following:
"conda install -c anaconda ipykernel"
"ipython kernel install --user --name=envname"
notice that I should open jupyter notebooks after activating my env in cmd.
I think you can use this solution to solve similar installation problems with any other modules.
I have several packages being imported perfectly in my Python 3.5. But not in my Jupyter Notebook... When i try to Import those packages in Jupyter i get and error of module not found.
Is there a way to make Jupyter load my Python 3.5 as a kernel... or something similar. I'm working in a virtual environment. Already tried to reinstall the packages again in my virtual env But no success.
Try to install the packages inside a jupyter notebook cell like this:
!pip install package
So you are sure that the packages are installed in jupyter's environment
If you install the ipython kernel form inside the virtualenv, you can guarantee that the packages are imported to the jupyter if they are imported to this env. Also, if you use this approach, you do not need to activate the virtualenv every time you run the jupyter, because jupyter does it automatically.
$ python -m venv projectname
$ source projectname/bin/activate
(venv) $ pip install ipykernel
(venv) $ ipython kernel install --user --name=projectname
(venv) $ pip install {package needed to install}
Source: Using jupyter notebooks with a virtual environment
I'm trying to follow this tutorial:
https://learn.microsoft.com/en-us/azure/machine-learning/service/tutorial-data-prep
As part of this I'm trying to do a pip install of azureml as it's not available on conda. However doing a pip install will by default install it to my default python install, and not my conda install.
So I tried following the steps here:
https://conda.io/docs/user-guide/tasks/manage-environments.html#using-pip-in-an-environment
However after following these steps I then launch Jupyter notebook after activating myenv, navigate to the notebook, and try and run:
import azureml.dataprep as dprep
But get the error: ModuleNotFoundError: No module named 'azureml'
Also - I cannot tell if myenv is active in the notebook. The kernel simply says python3.
Be careful, when using pip in anaconda, it is possible that you are mixing pip and pip3.
Run which pip3 to be sure you are using the version that correspond to the virtual environment.
If you are using python3 in the environment, then pip will typically be the correct version to use. Do not use pip3 in that case.
This problem has been documented elsewhere on the web. The problem is that Jupyter notebooks itself only launches in the root environment by default. The simplest solution to getting it to launch for your env (e.g. myenv) is to install Jupyter within your env first. So from the Anaconda command prompt:
activate myenv
pip install jupyter
jupyter
Ps. Use source activate myenv for non-windows machines
I have a venv/virtualenvwrapper set up in a directory. After I start working on the venv, i then create a Jupyter notebook inside of the directory, which brings me to Jupyter's localhost browser. I then attempt to import a library, e.g. pandas, which raises the ModuleNotFoundError. I would think that if the venv is being worked on, Jupyter would link to it.
Also, I can import global libraries from pip3, just not the local ones in a venv. Is there a way to use the virtualenvwrapper library with Jupyter?
I found out here I had to install ipykernel after activating the venv, then create a projectname:
(venv) $ pip install ipykernel
(venv) $ ipython kernel install --user --name=projectname
After that, I went back to the Jupyter browser and change the kernel from python 3 to the projectname which is only viewable after executing the second command line above.
This works for both virtualenv and virutalenvwrapper.
The only downfall is installing ipykernel adds a lot of extra libraries to your venv pip3, but I suppose you could just install ipykernel in your global pip3 to keep from installing it in your venv.