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
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 a virtual environment in which I have installed 'geopandas'. When I do a pip list it lists this package as well. But when I try to call it in my jupyter notebook via 'import geopandas' I get a ModuleNotFoundError. Please help - I'm using windows machine
You can verify that your notebook is running in the correct virtual environment by doing:
import sys
sys.version
Here's how to run a Jupyter notebook in a virtualenv.
You should check if your notebook is using the correct kernel (the correct virtualenv). If you are still in the kernel using your standard environment and geopandas is not installed, it is possible you get this error.
So check if you are working in the correct kernel:
kernel check
You can install a kernel in jupyter notebook by activating the venv and then installing it:
source activate myenv
python -m ipykernel install --user --name myenv --display-name "Python (myenv)"
More info about this install here.
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 created a conda environment (with python 3.6 and Anaconda 3-5.2.0 on a Windows 10 machine) and activated it. I then installed both jupyter and pip using conda install jupyter and conda install pip. Both commands executed without problems.
When I type jupyter notebook or pip install [some package] I get this:
The same happens for the pip command. What might be the cause of this issue?
Sorry if I am unclear/this is a lame question, still very new to setting up my computer.
So I installed Python using Anaconda for work, and at work there are specific packages that are used internally. I used Anaconda Prompt to install these packages by creating an environment and installing internally used packages. I then check to see if the package is there.
In the Anaconda Prompt...
conda create --name environment_name python = 3.4
activate environment_name
pip install <internal package> --upgrade
pip list
However, when I try to import a package on Spyder, it does not recognize the package. Is there a way for Spyder to run code on an environment that I specify? I would like the environment to run automatically on any file that I run using Spyder, being able to pull the packages that I installed on Anaconda Prompt