Using Conda Environment from PyCharm - python

I've looked at all the responses in the search and specifically Use Conda environment in pycharm without resolving my problem.
I'm on Win10 using the latest Anaconda and PyCharm for Python 3.6. The situation is that I've created a new environment using Conda which uses the Python version available in the base environment. Therefore, there is no python.exe in the newly created environment. In PyCharm, when I try to select the Conda environment, the dialog apparently does not see a Python there and refuses to set that as the environment.
In PyCharm, I create a new Project (pure Python) and set the location for the project in my PyCharmProjects directory. I then try to select existing interpreter and navigate to the appropriate Conda environment which I'm unable to select.
I'm not sure if there is something I don't understand or there is actually a problem here, but I'm getting a bit frustrated trying
to find the proper approach. Any help appreciated.
--Don

When you create the conda environment from cmd prompt do you explicitly tell it what python you want to use?
conda create --environmentName python=3.6
That should place a python.exe in your environment.

Related

Conda environment not showing up in VS Code

I installed miniconda on Windows 10 and created an environment (I followed this guide: https://www.notion.so/shashankkalanithi/Setting-Up-Conda-Environment-ba83f7f019ea44b9af37588eed419eb9). However when I open the VS Code I don't see that environment python interpeter on kernel list. There is only one interpreter on the list: ~\Miniconda3\python.exe
How can I fix this?
in vscode press ctrl+shift+p and type python:Select Interpreter you should see all the environment there. If it does not appear create a .py file and try again. also you can press the reload icon on the search bar where you typed python:select interpreter.
You can try to follow methods from
vscode - Create a conda environment
Additional notes:
...To ensure the environment is set up well from a shell perspective, one
option is to use an Anaconda prompt with the activated environment to
launch VS Code using the code . command. At that point you just need
to select the interpreter using the Command Palette or by clicking on
the status bar.
Firstly you need to create an environment with python in it otherwise it won't recognize it. Create an environment like this first
conda create --name tf26 python==3.10
Use your preferred name and python version here thereafter restart VS Code. You will definitely see your env.
Note:
You can delete any unused env if want like this
conda env remove --name <env_name>
I wanted to use the new environment as a Jupyter kernel and had to install the jupyter package for it to show up in the kernel selection of VSCode. You can install it by running conda install jupyter.
I finally resolved the problem.
This thread says that you need to create the conda environment passing the python argument:
conda create -n your_env_name python=3.7
Doing this the environment appears in the Select interpreter to start Jupyter server options.
The extension automatically looks for interpreters in the following locations:
Conda environments that contain a Python interpreter. VS Code does not
show conda environments that don't contain an interpreter.
After you create a conda environment, you need to activate it and install some packages in order to get the python interpreter. And remember to reload the VSCode. If it still does not exist, you can try to choose Enter interpreter path, to point the path manually.
In your project .vscode/settings.json file, just replace the old python.pythonPath setting with the new one (or add if non-existing) python.defaultInterpreterPath and it will work. The value for the setting is the path to the venv you're using in your project.
Afterward, Ctrl+Shift+P via Python: Select Interpreter will allow you to choose a different interpreter.
I had the same problem.
After I opened Anaconda Prompt as Administrator and created the environment, I saw it in VS code
Open “Anaconda Prompt” from the Windows start button as
“Administrator.”
The reason why vscode doesn't show the environment is that it doesn't have a python interpreter in it because of inheriting or something.
The solution is also simple. Just manually install python in that environment.
conda install python

What is the meaning of python interpreter (by conda) in pycharm project which creates virtual environment

I once created an anaconda environment. Now I have just started using pycharm. Whenever I create a new project it automatically creates a new virtual environment. Then it asks for python interpreter. It shows the option to select from the environments I created on conda.
I wanted to know whether pycharm is using the packages installed on conda environment on my pycharm environment or creating a copy of the packages from conda environment to the pycharm environment?
P.S- I am new to python so it would be helpful if you point out any technical mistake in my question and help me to improve.

Activating conda environment without separate Python version in IDEs

I recently created a conda environment (in Ubuntu 16.04), which is working great from the command line. I can activate it with no problems, the packages are properly separated, etc.
However, because it is running the same version of Python as the Anaconda installation (Python 3.6.1), it has not created a separate interpreter. Within the /anaconda3/envs folder there are no other folders. This makes it difficult when I want to use editors (such as vscode and Pycharm) because they cannot find the path to some of the packages I have installed in the environment. I would love to start using the great debugging features in Pycharm but without a separate interpreter I have no idea where to even start. Is there a way to initialize the interpreter in the correct environment?
When I run conda info --envs, this is what I get:
# conda environments:
#
chatbot /home/bradley/.conda/envs/chatbot
tensorflow /home/bradley/.conda/envs/tensorflow
tf_testing /home/bradley/.conda/envs/tf_testing
root * /home/bradley/anaconda3
If I try to run the Python in these directories (a small executable script exists), it doesn't include all the packages. Should I maybe add an environment variable? If so, what would I write?

How to manage (ana)conda with pycharm 2016.3 in linux

I would like to use Anaconda and the newest Pycharm 2016.3 together. I would like to be able to manage packages in settings->interpreter. If this is not supported, I would like to know the workflow of using these two together. According to another SO question, Pycharm 5 used to have a 'Create conda env' in the interpreter settings, but this seems to be gone now. I have tried:
1) Manually creating a virtual environment with 'conda create --name project numpy' and I add the interpreter ('~/anaconda2/envs/bin/python', the location of python for my created virtual environment. However, pycharm doesn't allow me to add any packages through settings->interpreter. Running an 'import numpy' through the console shows errors that are pointing to /usr/bin/python, not my virtual env python, and an error 'ImportError: cannot import name multiarray'. I'm not sure what package to add using conda from the cli, and the pycharm frontend doesn't add packages
2) I've tried the same as 1) but with my global anaconda python as the interpeter ('~/anaconda2/bin/python') and it doesn't seem to be able to connect to the console.
3) Creating a virtual environment through pycharm directly.
I would like to remove my default pythons (/usr/bin/python2.7/3.5 from the list of interpreters in pycharm) for debugging purposes but it won't let me and it seems to be showing packages that my anaconda virtual env doens't have installed.
Is there a way to manage my VIRTUAL enviornment in Conda using pycharm? If not, what steps do I take to make these two play well together assuming I can't manage it through pycharm interepreters settings.
This is the normal steps that i follow when i use virutalenv with PyCharm
I normally work on ubuntu
First, i always create a separate environment for every project using the command virtualenv "environment_name" from the command line.
Activate the environment using the command - source environment_name/bin/activate in ubuntu.
Suppose if i want to start a django project, i create the project using the command django-admin startproject project_name
Open this project in pycharm.
go to settings-> interpreter in pycharm. choose "add local" interpreter from the settings. It will open a pop-up. Go to the directory of the environment you just created and select the correct python interpreter you want to use.
now if you want to install a new package, you can go to interpreter settings and add package from the pycharm or you can fire up the command line, activate the environment and run pip install package_name. Once the package is installed, it will also show in pycharm.
if you are using Windows OS, use powershell to execute the above commands. The only difference will be in activating the environment. In windows, to activate an env use environment_name/Scripts/activate
EDIT:
Same goes anaconda environments also, the easy way is to manage the environment from the terminal and pycharm will show the packages changes in the interpreter settings.
Here is what I have been doing and it works great. I create a virtual environment separately and when I create a new project in PyCharm, I point the interpreter to the python from the virtual environment. An example is shown in the picture below:

How can I get IntelliJ to index libraries in my Python Conda environment?

I am using Python with Conda to manage my environment and libraries. Does anyone know how to get IntelliJ (with the Python plugin) or PyCharm to add the libraries in my Conda environment to my project?
It only pulls in site packages even when I select ~/anaconda/bin/python as my Python Interpreter.
You ned to change your Project Interpreter to point to $CONDA_PREFIX/bin/python where $CONDA_PREFIX is the location of your conda env. The $CONDA_PREFIX environment location you're looking for should be in the second column of the output from conda info --envs.

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