You need to use the -l or –local option to freeze only the local packages (and not the global ones) pip freeze -l > requirements.txt Make sure you are working in the virtualenv before doing pip freeze -l.
This is a tricky part of ipython / Jupyter. The set of kernels available are independent of what your virtualenv is when you start jupyter Notebook. The trick is setting up the the ipykernel package in the environment you want to identify itself uniquely to jupyter. From docs on multiple ipykernels, source activate ENVNAME pip … Read more
To elaborate on Williams’ answer a bit more, the expected workflow is to enter the virtualenv using pipenv shell. When you activate the virtualenv that way, the console output now indicates to use exit: Spawning environment shell (/bin/zsh). Use ‘exit’ to leave. Trying to exit the virtualenv with deactivate will leave pipenv in a confused … Read more
Activate the relevant environment, then install your target python version. conda activate my_env conda install python=3.6
“The only way I can remove it seems to be: sudo rm -rf venv“ That’s it! There is no command for deleting your virtual environment. Simply deactivate it and rid your application of its artifacts by recursively removing it. Note that this is the same regardless of what kind of virtual environment you are using. … Read more