....I was struggling a bit while I started to use VSCode, because there is a lot of flexibility in VSCode; it is one of the most flexible-projects on github: Well - but it also implies that there is tons of detailed settings which allows all kinds of alternative usages.
I am wondering how to go the head-to-toe process of how to use Conda environment in VSCode.
Well i have found some ideas how to do that focusing on Windows system, but wait: i want to do this on Linux:
See the win option: https://medium.com/analytics-vidhya/efficient-way-to-activate-conda-in-vscode-ef21c4c231f2
Here we add three things in the configurations:
“python.pythonPath”:“C:\\Users\\<your-usrname>\\Anaconda3\\envs\\<your-conda-env>\\python.exe”
“python.terminal.activateEnvironment”: true
“terminal.integrated.shell.windows”: “C:\\Windows\\System32\\cmd.exe”,
well - but what about doing this in Linux:
i guess that the short way of doing this would be like so:
first of all -
install conda; then
setup env in conda
install vscode; and finally
choose env in vscode
but how to do this concrete? Any ideas how to do this effectively?
for my solution i will try out the following:
Activating Anaconda Environment in VsCode
Simply use
shift + cmd + P
Search Select Interpreter
pyhton : Select Interpreter
Simply use
Select it and it will show you the list of your virtual environment created via conda and other python versions
Activating conda virtual environment
select the environment and you are ready to go.
Quoting the 'Select and activate an environment' docs
Selecting an interpreter from the list adds an entry for python.pythonPath with the path to the interpreter inside your Workspace Settings.
Select it and it will show you the list of your virtual environment created via conda and other python versions
Activating conda virtual environment
cf: Activating Anaconda Environment in VsCode
note: i will try out this solution.
i have found the basic manual here this:
see: Visual Studio Code on Linux
https://code.visualstudio.com/docs/setup/linux
and this here: Microsoft Visual Studio Code and Anaconda
https://docs.anaconda.com/anaconda/user-guide/tasks/integration/vscode/
I am working on a Linux environment and have created my virtual environment using the pyenv tool. I have set the local virtual environment in my working folder the the one I want with pyenv from command line like this for example : pyenv local my_venv_name which in my case my_venv_name=3.9.9
When I opened VSCode in that folder the integrated terminal is indeed opening that virtual environment BUT the code in the VSCode seems to not be able to find some installed dependencies that I can see that I have installed in that particular environment. I can do pip freeze in the terminal and I see the packages but VSCode does not see them.
How can I set the correct virtual environment to the VSCode editor?
Ok so you have to select the correct python interpreter because pyenv could be using multiple python version in different environments. I found two ways to change it:
Open the command palette either from the gear icon bottom left corner or by typing Ctrl + Shift + P. Then type select python interpreter and select the one that corresponds to the virtual environment you want
You can find the same option by simply clicking and selecting the interpreter from the bottom right corner of the VSCode as shown in the image below:
If I'm using a regular Terminal with zsh, I can start any conda environment and the python or ipython commands open the "right" version (on a particular conda env it is Python 3.7.7.).
But if I'm on a Terminal under VSCode, I always get a different version, as if it was not assuming the conda environment, although it the prompt shows me the correct conda env.
Any idea on what might be the problem here?
In .vscode/settings.json, you can put the python version required :
{
"python.pythonPath": "/usr/bin/python3"
}
In VS Code, its internal terminal is to integrate the terminal from the system, and it defaults to use the python environment selected in the lower left corner of VS Code when it was created. Therefore, please use the shortcut key Ctrl+Shift+` to open a new VS Code terminal, it will Automatically enter the selected python environment, and for the selected conda environment, it will automatically activate it:
Also, please try to reload VS Code.
Reference: Conda environments in VS Code.
Leaving here the answer as I just found it is a known bug.
https://github.com/microsoft/vscode-python/issues/5764
This happens for non-Windows machine and if the selected interpreter is a conda environment and "terminal.integrated.inheritEnv" is not set. Solution is to set "terminal.integrated.inheritEnv" to false.
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.
I've installed Anaconda and created two extra environments: py3k (which holds Python 3.3) and py34 (which holds Python 3.4). Besides those, I have a default environment named 'root' which the Anaconda installer created by default and which holds Python 2.7. This last one is the default, whenever I launch 'ipython' from the terminal it gives me version 2.7. In order to work with Python 3.4, I need to issue the commands (in the shell)
source activate py34
ipython
which change the default environment to Python 3.4. This works fine, but it's annoying since most of the time I work on Python 3.4, instead of Python 2.7 (which I hold for teaching purposes, it's a rather long story). Anyway, I'll like to know how to change the default environment to Python 3.4, bearing in mind that I don't want to reinstall everything from scratch.
If you just want to temporarily change to another environment, use
source activate environment-name
ETA: This may be deprecated. I believe the current correct command is:
source conda activate environment-name
(you can create environment-name with conda create)
To change permanently, there is no method except creating a startup script that runs the above code.
Typically it's best to just create new environments. However, if you really want to change the Python version in the default environment, you can do so as follows:
First, make sure you have the latest version of conda by running
conda update conda
Then run
conda install python=3.5
This will attempt to update all your packages in your root environment to Python 3 versions. If it is not possible (e.g., because some package is not built for Python 3.5), it will give you an error message indicating which package(s) caused the issue.
If you installed packages with pip, you'll have to reinstall them.
Overview
Some people have multiple Conda environments with different versions of Python for compatibility reasons. In this case, you should activate the desired default environment in the shell initialization file (e.g., .bashrc, .zshrc). With this method, you can preserve the versions of Python you use in your environments.
The following assumes environment_name is the name of your environment
Mac / Linux:
Edit your bash profile so that the last line is conda activate environment_name. In Mac OSX this is ~/.bash_profile, in other environments this may be ~/.bashrc
Example:
Here's how I did it on Mac OSX
Open Terminal and type:
nano ~/.bash_profile
Go to end of file and type the following, where "p3.5" is my environment:
conda activate p3.5
Exit File. Start a new terminal window.
Type the following to see what environment is active
conda info -e
The result shows that I'm using my p3.5 environment by default.
For Windows:
Create a command file (.cmd) with activate environment_name and follow these instructions to have it execute whenever you open a command prompt
Create a batch file command, e.g. "my_conda.cmd", put it in the Application Data folder.
Configure it to be started automatically whenever you open cmd. This setting is in Registry:
key: HKCU\SOFTWARE\Microsoft\Command Processor
value: AutoRun
type: REG_EXPAND_SZ
data: "%AppData%\my_conda.cmd"
from this answer: https://superuser.com/a/302553/143794
Under Linux there is an easier way to set the default environment by modifying ~/.bashrc or ~/.bash_profile
At the end you'll find something like
# added by Anaconda 2.1.0 installer
export PATH="~/anaconda/bin:$PATH"
Replace it with
# set python3 as default
export PATH="~/anaconda/envs/python3/bin:$PATH"
and thats all there is to it.
For windows Anaconda comes with Anaconda Prompt which is a shortcut to cmd and can be used run conda commands without adding anaconda in PATH variable.
Find the location of it, copy and rename the copy (say myenv_prompt). Right click myenv_prompt and select properties in the context menu.
The Target form of Properties window should already be filled with text, something like %windir%\system32\cmd.exe "/K" C:\Users\xxx\AppData\Local\Continuum\Miniconda3\Scripts\activate.bat C:\Users\xxx\AppData\Local\Continuum\Miniconda3\
There are three parts of this command 1)start ...\cmd.exe 2)run ...\acitvate.bat with environment 3)...\Miniconda3\
Change 3rd part to path of the environment (say myenv) you want as default i.e. fill the Target form something like %windir%\system32\cmd.exe "/K" C:\Users\xxx\AppData\Local\Continuum\Miniconda3\Scripts\activate.bat C:\Users\xxx\AppData\Local\Continuum\Miniconda3\envs\myenv
Now myenv_prompt will act as shortcut to start cmd with myenv as the default environment for python. This shortcut you can keep in start menu or pinned in taskbar.
One advantage of this method is that you can create a few shortcuts each having different environment as default environment. Also you can set the default folder by filling Start in form of the Properties window
Hope this helps
PS:It is not required to find Anaconda Prompt and can be done by changing target of any shortcut. But you will require to know path of cmd.exe and activate.bat
Just activate your py34 environment when you load your terminal/shell.
If you use Bash, put the line:
conda activate py34
in your .bash_profile (or .bashrc):
$ echo 'conda activate py34' >> ~/.bash_profile
Every time you run a new terminal, conda environment py34 will be loaded.
The correct answer (as of Dec 2018) is... you can't. Upgrading conda install python=3.6 may work, but it might not if you have packages that are necessary, but cannot be uninstalled.
Anaconda uses a default environment named base and you cannot create a new (e.g. python 3.6) environment with the same name. This is intentional. If you want your base Anaconda to be python 3.6, the right way to do this is to install Anaconda for python 3.6. As a package manager, the goal of Anaconda is to make different environments encapsulated, hence why you must source activate into them and why you can't just quietly switch the base package at will as this could lead to many issues on production systems.
Change permanent
conda install python={version}
Change Temporarily
View your environments
run conda info --envs on your terminal window or an Anconda Prompt
If It doesn't show environment that you want to install
run conda create -n py36 python=3.6 anaconda for python 3.6 change version as your prefer
Activating an environment (use Anaconda prompt)
run activate envnme envnme you can find by this commandconda info --envs as a example when you run conda info --envs it show
base * C:\Users\DulangaHeshan\Anaconda3
py36 C:\Users\DulangaHeshan\Anaconda3\envs\py36
then run activate py36
to check run python --version
In Windows, it is good practice to deactivate one environment before activating another.
https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html?highlight=deactivate%20environment
If you want Anaconda Navigator to default to Virtual Env you created, go to file > Preference and select default conda env in drop down lint:
If you want Anaconda command automatically opens to virtual env without having to type activate envName, do this:
Right click on conda shortcut > go to properties and change the Target to something like this:
%windir%\System32\cmd.exe "/K" C:\Anaconda\Scripts\activate.bat C:\Anaconda\envs\p37
Optionally you can set your default working dir as well, like I did in snapshop below:
gl
On Windows, create a batch file with the following line in it:
start cmd /k "C:\Anaconda3\Scripts\activate.bat C:\Anaconda3 & activate env"
The first path contained in quotes is the path to the activate.bat file in the Anaconda installation. The path on your system might be different. The name following the activate command of course should be your desired environment name.
Then run the batch file when you need to open an Anaconda prompt.
Here is the solution I found for autoactivating my preferred environment on a Windows 10 system:
Open anaconda prompt & use 'conda env list' to find the location of the environment you wish to use.
Go to the start menu, right-click 'Anaconda Prompt' and go to file location.
Create a copy of this shortcut file
Open its properties & change the target to the location of your preferred environment.
Now every time you open anaconda prompt through this shortcut it will automatically load your chosen environment.
activate.py is hardcoded to emit conda activate base\n into your shell profile when you evaluate the shell hook produced by conda shell.zsh hook.
you can suppress this hardcoded "auto-activate base" via:
conda config --set auto_activate_base false
then, in ~/.zshrc, ~/.bashrc or wherever you source your shell profile from, you can append the following (after the conda shell hook) to explicitly activate the environment of your choosing:
conda activate py34
I wasn't satisfied with any of the answers presented here, since activating an environment takes a few seconds on my platform (for whatever reason)
I modified my path variable so that the environment I want as default has priority over the actual default.
In my case I used the following commands to accomplish that for the environment "py35":
setx PATH "%userprofile%\Anaconda3\envs\py35\;%PATH%"
setx PATH "%userprofile%\Anaconda3\envs\py35\Scripts;%PATH%"
to find out where your environment is stored, activate it and enter where python.
I'm not sure yet if this approach has any downsides. Since it also changes the default path of the conda executable. If that should be the case, please comment.
For Jupyter and Windows users, you can change the Target path in your Jupyter Notebook (anaconda3) shortcut from C:\Users\<YourUserName>\anaconda3 to C:\Users\<YourUserName>\anaconda3\envs\<YourEnvironmentName>
you could do the same thing for the Anaconda Prompt..etc.
After changing the path you can check your active environment by opening a terminal in Jupyter and run conda info --envs.
I got this when installing a library using anaconda. My version went from Python 3.* to 2.7 and a lot of my stuff stopped working.
The best solution I found was to first see the most recent version available:
conda search python
Then update to the version you want:
conda install python=3.*.*
Source: http://chris35wills.github.io/conda_python_version/
Other helpful commands:
conda info
python --version
Create a shortcut of anaconda prompt onto desktop or taskbar, and then in the properties of that shortcut make sure u modify the last path in "Target:" to the path of ur environment:
C:\Users\BenBouali\Anaconda3\ WILL CHANGE INTO
C:\Users\BenBouali\Anaconda3\envs\tensorflow-gpu
preview
and this way u can use that shortcut to open a certain environment when clicking it, you can add it to ur path too and now you'll be able to run it from windows run box by just typing in the name of the shortcut.
Tried both source activate default_3_9 and source conda activate default_3_9
but worked conda activate default_3_9
I'm trying to update Anaconda in order to use Python 3.10.4 and then Spyder 5.3.2. Actually, I wanted to set the Python interpreter used by Pycharm inside the Spyder console but it required the newest Spyder version. I didn't try all the possible solutions (it's pending for me to use the window batch and modifying path solutions given here) but:
Since I couldn't update the Anaconda base due to the well-known error on the "Solving environment". Then Python and Spyder remain the same.
Creating a new env allows to get the last Python and then his newest Spyder version but it doesn't actualize the Anaconda shortcuts and even the Anaconda navigator if you set it to this new env still has some inconsistencies like keeping the older Spyder version in his menu.
Besides, on point 2, changing the shortcuts target path doesn't work for me.
Finally, I create a new shortcut of the Spyder file from the Scripts folder inside the environment directory ( C:\Users<userName>>\Anaconda3\envs<EnvName>\Scripts )
I couldn't use the default Anaconda shortcuts but I have what I wanted and quick access.