Conda env is activated using source activate env_name.
How can I activate the environment in pycharm ?
open
pycharm/preferences/project/Project Interpreter
And check existing interpreter. Conda environments may already be listed there.
If not exists, you can create a new conda environment with "Create Conda Env" button
If you are looking for a specific conda environment you can use 'add local'. When you click 'add local' you will input conda environment path + /bin/python
You can list all conda environment in your system with following commnad.
>>conda info --env
# conda environments:
#
tensorflow * /Users/username/miniconda3/envs/tensorflow
you can chose the approach best fits your needs.
The best PyCharm specific answer is this one by wasabi (below).
In general though, if you want to use an interpreter from within a Conda environment then you can change the location of the interpreter to point to the particular environment that you want to use e.g. /home/username/miniconda/envs/bunnies as mentioned in this comment.
However, as mentioned in this answer by Mark Turner, it is possible to have a shell script executed when activating an environment. This method will not run that shell script, but you can follow his workaround if you need that shell script run:
open a conda prompt
activate the environment
run pycharm from the conda prompt
How about environment.yml
Pycharm can create a new conda environment indeed. Unfortunately, until this issue is fixed, it won't offer environment.yml support, which means it won't install the dependencies declared there.
When working on a project based on such a file, you need to create / update the dedicated env manually on your machine:
conda env create -n <my-project>
Then remember to update each time environment.yml changes (from you or upstream).
conda env update -n <my-project>
Not ideal
As mentioned in one of the comments above, activating an environment can run scripts that perform other actions such as setting environment variables. I have worked in one environment that did this. What worked in this scenario was to:
open a conda prompt
activate the environment
run pycharm from the conda prompt
Pycharm then had access to the environment variables that were set by activating the environment.
I had the same problem i am on windows 10 professional 64 bit
my solution was to start Pycharm as adminstrator and it worked
Go to settings at the top right corner of the PyCharm IDE.
Go to Project:{Your Project Name}->Python Interpreter
Go to the settings inside here and click add:
In Add Python Interpreter select conda env
Select existing environment and click on your required conda environment path from the dropdown menu OR add the path of the python.exe file in your conda environment. As a reference, I am adding the path for my windows10 system: C:\Users\maria\AppData\Local\Continuum\anaconda3\envs<mycondaenv>\python.exe It can vary for your system based on installation configs.
It seems important to me to know, that setting project interpreter as described in wasabi's comment does not actually activate the conda environment.
I had issue with running xgboost (that I installed with conda) inside PyCharm and it turned out that it also need some folders added to PATH. In the end I had to make do with an ugly workaround:
Find out what are the additional folders in PATH for given environment (with echo %PATH% in cmd)
In the file I wish to run put to the top before anything else:
import os
os.environ["PATH"] += os.pathsep + os.pathsep.join(my_extra_folders_list)
I know this is not at all proper solution, but i was unable to find any other beside what Mark Turner mentioned in his comment.
To use Conda environment as PyCharm interpreter
activate Conda environment from Conda navigator
open PyCharm from the navigator tool list
in Conda Add interpreter section choose existing Conda environment and it automatically recognises the path of that environment's python.exe file
First , select Interpreter setting ... in right bottom of Pycharm.
Then choose python.exe from your desired conda environment.
My environment path is : C:\Users\javadsh\anaconda3\envs\tf-gpu\python.exe
Go to Pycharm -> Preferences -> Project Interpreter. At the top left of the packages table there is a plus sign, minus sign, a green circle and an eye; uncheck the green sign; that will let you have access to the packages while using conda environment.
The conda documentation says that when you use
conda create --name myenv
The new environment
uses the same version of Python that you are currently using because
you did not specify a version.
However, that's not the case for me. I have Windows 10 and Anaconda. I am into the "base" environment created by default.
If I run
conda create --name testenv
Then when I activate the environment
conda activate testenv
There is no Python. If I write
python
to the console the Microsoft Store is opened.
To have a Python interpreter I need to manually specify it
conda create --name testenv2 python=3.8
That specific note in the Conda documentation was a hold-over from before Conda v4.4 and has since been corrected (see here and here).
Background
Previous to Conda v4.4, the base environment's bin/ directory was always on the PATH, hence why not installing a Python interpreter in a new environment it would fall back to the base Python. Conda v4.4 introduced a new strategy for managing environment isolation via defining the primary interface to Conda as a set of shell functions and allowing the base bin directory only to be included on PATH when the base environment was active. This strategy provides cleaner isolation of environments, which means that only what is in the active environment will be available.
Hence, if you want Python in the environment, it must be explicitly installed.
I was trying to add conda and python to the environment variable using SETX Command from CMD but it was failing. I tried setting it using PowerShell and it worked. The path was added successfully but I still can't open Jupyter Notebook from my cmd.
Adding Python to the environment path is bad practice, see Anaconda FAQ. If you haven't installed Anaconda with it's default settings, you first need to:
Initialize your shells
conda init --all
After this you should have ../Anaconda3/condabin only in your path (more information via conda init --help).
But before you can run Jupyter, you also need to activate Anaconda:
C:\> conda activate
(base) C:\> jupyter notebook
The activation will add the following folders of the conda base environment to your PATH:
\Anaconda3;
\Anaconda3\Library\mingw-w64\bin;
\Anaconda3\Library\usr\bin;
\Anaconda3\Library\bin;
\Anaconda3\Scripts;
\Anaconda3\bin;
The python.exe resides in Anaconda3, jupyter.exe in Anaconda3\Scripts, so it's not enough to just add the first folder to your Path. And it's especially important to have the libraries on your Path when you want to run C-based packages like numpy.
But the very point behind the conda activate mechanism is that it allows you to configure and run different environments with different versions of python and 3rd party packages that would otherwise conflict, see Managing environmnts.
On top of that you can even install Python from python.org next to your Anaconda distribution, since conda will make sure that they won't interfere.
I'm new to anaconda and conda. I have created an identical environment in two different directories. Is it safe to just delete the env folder or the environment that I no longer need, or do I need to do something in the anaconda prompt to remove the environment thoroughly? I'm not sure if creating an environment in a local folder leaves a trace in the registry or somewhere else in the computer that needs to be removed too?
conda remove --name myenv --all
Another option is
conda env remove --name myenv
Effectively no difference from the accepted answer, but personally I prefer to use conda env commands when operating on whole envs, and reserve conda remove for managing individual packages.
The difference between these and deleting the folder manually is that Conda provides action hooks for when packages are removed, and so allows packages to execute pre-unlink and post-unlink scripts.
I want to know after creating and activating a conda environment in terminal. Say venv:
conda create -n venv
source activate venv
Then the prompt will come with the enviroment name (venv).
would the packages installed (say conda install tensorflow without --name venv) after environment activation only effect inside the environment venv? Or would it affect outside venv?
I don't want to mess up my environments.
The point of using an environment in conda is to have a separate space where you can install packages and apply your configurations.
As long as you are inside an environment, all the packages you install will only be installed there. One way you can check this is by listing the packages you installed using: conda list
You will see that the packages you installed in the active environment are not installed in the other ones.
I hope this answers your question