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
Related
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
I have python 3.7 and anaconda3 installed in Win10, and conda 4.7.12, conda is on my PATH. Had installed jupyter using pip (pip 19.3.1). I can see all packages in the the anaconda directory. Don't have any old python2 or anaconda2 nor any virtual env.
I have jupyter notebook - but for just about every package jupyter is complaining - ModuleNotFoundError. I did pip install for pandas, numpy etc in jupyter - it worked. But juypter complains about the next package, on and on. Do I have to do a pip install inside jupyter for every package or there is better/easier way.
(I know its never easy)
You should first check if you are using the same virtual for both running the notebook and installing packages. If so, then yes, if the modules are not installed you'd have to do it manually or create a requirements.txt file with all the modules you need and execute the following (within the same virtual environment):
pip install -r requirements.txt
See https://pip.pypa.io/en/stable/user_guide/#requirements-files for more information.
I'd also recommend installing the notebook extensions as per https://docs.anaconda.com/anaconda/user-guide/tasks/use-jupyter-notebook-extensions/ to deal with your virtual environments and packages.
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.
I tried to install Jupyter on my Mac (10.9).
Since I'm using a computer at the university and don't have permission to write in /usr/local/bin, I downloaded Ipython from GitHub and typed python3.4 setup.py install --user on Terminal.
Though I didn't get any error while installing, Jupyter does not launch when I type ipython notebook (ipython3 notebook or jupyter were the same) and I got command not found error.
(I also tried to install via pip. However, pip does not work on my computer and I couldn't activate it using ensurepip.)
Why does pip not work? (insufficient privileges to write into system packages)?
Have you tried a virtual environments Creation of virtual environments? They are very useful for managing your environment so that you have local packages and a local bin folder for things like ipython:
$ python3 -m venv my_venv
$ source my_venv/bin/activate
$ pip install ipython[all]
This will install into your my_venv environment.