ModuleNotFoundError: 'sklearn' in Jupyter notebook
modulenotfounderror jupyter notebook
modulenotfounderror: no module named python 3
modulenotfounderror after pip install
Using Conda (4.8) on pyhthon 3.7, on Win10. I have scikit learn installed using conda
conda install scikit-learn. Tried a few things: also installed it in the env
conda install -n my_env scikit-learn. Also tried installing
conda install -c anaconda ipython - nothing has worked.
I can list it:
scikit-learn 0.22 py37h6288b17_0
But in juypter notebook get error
from sklearn.datasets import fetch_lfw_pairs (tried couple other commands too)
ModuleNotFoundError: No module named 'sklearn'
But If I use Anaconda UI Navigator to launch notebook everything works fine
Update I tried this command line option did not work for me, despite plenty effort and help & support from the community (as below). Meanwhile the Jupyter notebook can also be launched from the Anaconda UI itself. That always was working for me - no configuration or setup needed (none). I have not found any limitations etc with this yet (and you do get the exact same notebook). For advanced/unique use cases where you may need to fine tune your configuration cmd line could be helpful, I am not there. Happy Coding
Likely, you are loading the wrong kernel when you start your notebook. Here is a barebones way to set up the environment:
conda create -n testenv python=3.7 -y conda activate testenv conda install scikit-learn conda install ipython conda install notebook python -m ipykernel install --user --name testenv
When you click on
new in the browser you will have an additional option next to python3, namely the kernel you just registered. I just tested this with anaconda 4.7 and I could import sklearn.
The code in the answer creates a new python environment. Then, it installs ipython and jupyter notebook in that environment and makes sure that this environment can be used with jupyter notebook (i.e. registering the ipykernel).
Now of course besides scikit learn, no other libraries have been installed within that specific environment.
So, if you want to use more libraries, you have to go to the command line, activate the environment, and install the libraries you want to use:
conda activate testenv conda install scipy numpy matplotlib
To then run jupyter notebook from the environment, after you have installed all the things you want (and after having closed the command prompt or having deactivated the environment), you can do
conda activate testenv jupyter notebook
in the command prompt.
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Jupyterlab would usually use the environment inside which you launch it. For example:
- If you activate
my_envfirst and then do
jupyter labfrom terminal, it should detect the environment.
- Incase it fails, go to
Kernel -> Change Kerneland select the kernel you want to use.
Note: While creating a new kernel, I always use the
display-name parameter which helps. You can do something like:
python -m ipykernel install --user --name my_env --display-name "Python (my_env)"
Hope this helps.
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To fix this problem, you need to manually install this package in Anaconda.
How do I install? Open your Anaconda Prompt and run the below command:
conda install -c conda-forge scikit-learn
Then restart Jupyter Notebook and import this package.
How To Solve ModuleNotFoundError: No module named in Python, How To Solve ModuleNotFoundError: No module named in Python. The name of the module is incorrect. The Library Module not installed. Previous Next In this post, We will see how to resolve in Python. Reason for No module named ‘cv2’ Let’s first reproduce this error, and then we will see how to resolve .
I think the problem is that the environment is not activated. Try
conda activate my_env first, and then type
The first thing you can do is:
import sys print(sys.path)
/path/to/anaconda/envs/my_env/lib/python3.7/site-packages exists in the path.
I find it useful to print the current
sys.path so that I know where it is looking at.
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- does this help? Specifically:
python -m ipykernel install --user --name myenv
- @warped This is somewhat all over the place - cant figure out what exactly to be done. Do I re-install pip using conda ` source activate myenv conda install pip conda install ipykernel`
No module named ipykernel. So I installed ipykernel
conda install ipykernel- still no luck
- I had used pip to install my jupyter notebook
pip install jupyterlab. I only have one python 3.7 so I had created myenv without the python flag. I can do above if that is what that needs to solve the issue,
- Doing these series of steps - essentially re-install with these steps worked. Perhaps using
conda install notebookrather than pip may be the trick.
- After all that - everything has fallen apart - does not work anymore. Nothing should have changed in my env, I am activating and using the same "testenv" - but it no longer works. Now when I create a new notebook - I get choice to pick the env - I choose "testenv". But alas
- Tried Python 3 also does not work, cant find
- So you suggesting I have to install all libraries in each environment. Is that how it is meant to work. So in future I need any more libraries - I have to install. Sort of does not make sense this should not be that difficult- I have all the libraries installed - my not be in the env. Originally I had this library problem (before sklearn) - then I just created a environment - that problem went away (I did not have to install any lib in the env). But sklearn issue surfaced in next step. We solved sklearn issue but the old issue resurfaced. One step forward one step back.
- Tried this did not work- Same error
conda create -n testenv python=3.7 -y
conda activate testenv
conda install ipykernel
python -m ipykernel install --user --name testenv --display-name "Python (testenv)"
- added 1 more step
conda install scikit-learn- did not help
- One more step and it worked
conda install notebook