How to use Pyenv virtualenv's with Pycharm 2016.3? In the earlier version of Pycharm, I could easily set up local interpreter to point anything installed on my machine.
My first idea was to add .python-version file on the root of the project. I Pyenv virtualenv installed so this will activate & run the project with correct environment automatically. However, Pycharm still doesn't see the correct interpreter causing it to though import and syntax errors.
How can I select my local Pyenv in new PyCharm 2016.3 I used to be able to set the path as variable now I can only browse the path using drop-down menu. It doesn't seem to show hidden files like default path for pyenv ~./.pyenv/versions{project}.
In Pycharm version 2017.3, you can go to
Pycharm -> Preferences -> Project -> Project Interpreter -> <project_name> -> settings button on the right of the python interpreter text box -> Add local
This will open a new window with virtualenv Environment as one of the options on the left. On Selecting it, you will get an option to make a new virtualenv environment or use an existing virtual environment. Here next to the dropdown text box, you can click "..." and browse to your existing virtualenv created using pyenv and select it. It will select this virtualenv when you start terminal from Pycharm and also use the corresponding python interpreter as set while creating that virtualenv.
Get pyenv-virtualenv plugin for more project-specialized environments.
Then, create a new environment for project: (assume that we installed python-3.7.1 with pyenv and we'll use it)
$ pyenv virtualenv 3.7.1 projectName-3.7.1
This command generates folder for our environment.
Open pyCharm (v2018.3.1 used):
Create New Project > Existing Interpreter
Now you can type path of your environment:
~/.pyenv/versions/projectName-3.7.1/bin/python3
Then press Create..
That's all.
If there is already exists project:
File > Settings > Project: projectName > Project: Interpreter
Again, you can type path of the environment as like above. So you will see packages installed on this environment.
If you want to use same version of python and environment on the command line, then you must activate the environment with
$ pyenv activate projectName-3.7.1
command.
Note that pyenv virtualenv can activate that environment when entering the folder within the terminal through putting the name of it into your .python-version file as well.
For more command about pyenv-virtualenv you can look for reference sheet.
Personally, I made the best experiences with using pyenv and pipenv together. So far, I used separate commands for that, rather than using the pyenv-virtualenv plugin, but it should be supported with this hint as well.
My workflow to start a new project:
Create folder and switch into it:
mkdir new_project ; cd new_project
Set desired local pyenv version:
pyenv local 3.8.0
Create an empty pipenv virtual environment, using just that local version:
pipenv --python $(pyenv which python)
Now comes the tricky part: PyCharm is supporting Pipenv as an interpreter, but it doesn't recognize it automatically anymore after the initial interpreter selection (which happens at project initiation / first time opening of the project, automatically).
So - if you just created the new project folder (without PyCharm's .idea/ folder created yet), it will recognize the Pipenv-Virtualenv of the project just fine and set it as a project interpreter, automatically:
If there is already an .idea/ folder, it's not that easy, since PyCharm's GUI just supports to create a new Pipenv environment, but you still have an option:
Close PyCharm, delete .idea/ folder and reopen the project folder in PyCharm.
This will delete other project settings as well, but shouldn't be something too important for a fresh environment.
Open the folder in PyCharm again and it will recognize your Pipenv virtualenv.
You don’t mention what operating system you’re using, and it’s relevant here.
If it’s OS X or macOS, you can press Shift+Cmd+G in the file selection dialog (when you’re choosing the location of a new local interpreter) to enter a path manually. (This is a standard macOS shortcut that works in any native file selection dialog.)
After taking a lead from Mr. Judge regarding the use of pyenv, I stumbled on a way to introduce an interpreter from pyenv to an existing PyCharm (2020.2.2, if it matters) project without blowing away the .idea directory.
Prior to using any other Environment type (Pipenv, Poetry, etc.), first open the Virtual Environment option:
Select Exiting environment and then navigate to one of your pyenv shims using the […] button to the right of the Interpreter: drop-down. Then click Make available to all projects.
You can then go to the Pipenv or Poetry Environemnt (Plugin) to reference that introduced interpreter now.
Related
Maybe a simple question, but I cannot figure it out. I work within Visual Studio Code on a MacBook. Within a directory I create a virtual environment and have activated that with source .venv/bin/activate scripts and everything works fine.
In the terminal I see (.venv) (base) gaston#MacBook-Pro WebScraping %
When I start visual code another time and open this same directory I do not see the (.venv) so I again give manually the command to activate.
My question is there a way to activate the virtual environment automatically when opening the directory?
VS Code Default Python Interpreter Path
You can do this in a number of ways. If your goal is to have the virtual environment selected immediately at the launch of VS Code, you will have to target that virtual environment as the Python Interpreter in VSC.
https://code.visualstudio.com/docs/python/environments
System Preferences->Settings->Python: Default Interpreter Path
You'll want to point it to your virtualenv Python installation, likely something like:
envFolder/bin/python3
VS Code Launch Configuration Python Interpreter
You can also set a specific launch configuration so that VSCode will still use your system Python instance by default; however, specific launch configurations will have the virtual environment specified.
https://code.visualstudio.com/docs/python/debugging
I did something within settings and now it works.
When I open VSC now it opens the directory and the right environment, just the way I wanted it.
Took me some while to figure what finally did the trick:
I opened settings Command + , typed env in the search box. Scrolled through the results until I saw:
Python > Terminal: Activate Env In Current Terminal
and checked the checkbox. That solved my problem.
I have created a virtualenv using command prompt and have installed all my dependencies. How can I make PyCharm use the virtual env & dependencies created via command prompt?
You should link the virtualenv in PyCharm.
In order to do this, go to:
File -> Settings -> Project -> Project Interpreter
Here, in the top right corner of the window, click on the gear icon and choose Add.
Then, choose Existing environment option and navigate in your computer until you find the python.exe for your virtualenv.
Than confirm modifications clicking Ok. This should be enough.
If you want to use it in a PyCharm configuration, please do not forget to choose it in the Python Interpreter option.
I'm pretty new to programming, so maybe there's something painfully obvious that I've missed, but I've searched a lot around for solutions to this issue without finding any.
I just got a new computer and installed Anaconda and PyCharm for Anaconda. I got it to work fine on my old computer, but when I try to open PyCharm now and create a project, it gets stuck on the creation of the conda environment. Apparently there's a new conda update, so I tried to update to this one in Spyder, which seemed to work fine, but when PyCharm tries creating a new environment, it gets stuck and only displays
"Creating Conda environment"
"$ conda update -n base -c defaults conda"
Does anybody know what's happening? I've tried just waiting it out, but it doesn't seem to be moving forward at all from that point. I've also uninstalled both Anaconda and PyCharm with all their plugins and reinstalling them, but to no avail.
Thanks for any help or input!
Sincerely, confused first year student
It appears that Sophie was able to get the conda environment up and running.
However, other newcomers might come across a similar problem with regards to setting up Anaconda for use within PyCharm. Therefore, I provide a guide below that I recently (today) used in order to accomplish this on a fresh install on a new computer. For this I decided to use PyCharm Community Edition 2018.3 and Anaconda3 version 2019.07. I performed this on Windows 10 Enterprise version 1903. I have also performed this procedure on Windows 7 Home Premium edition (some time ago).
This will enable you to use PyCharm and Anaconda together, so that you can:
Know the prerequisite steps leading up to creating a conda environment, and become familiar with the steps following this action with using Anaconda with PyCharm.
Use the Terminal window in PyCharm with packages that are installed with Anaconda's version of Python. You can then use both regular python and conda commands to view, update or install packages. For instance, depending on your preference, you could use 'pip list' (python command) or 'conda list' to list installed packages.
Use the Anaconda python interpreter as the default Python Console in PyCharm
To accomplish this, please follow these steps:
Install PyCharm, and import any settings file you may have from previous PyCharm installation on other computer (optional). Assuming you are starting fresh, create a new project and set the (default) project folder location.
Install Anaconda. My install location was set to C:\ProgramData\Anaconda3. Note that 'ProgramData' folder is hidden by default. You should enable viewing of hidden folders in windows explorer, if you need to manually browse for it. Upon installation, I decided to have the options Add Anaconda to my PATH environment variable and Register Anaconda as my default Python 3.7 set as deselected.
Open Windows Explorer and paste in C:\ProgramData\Anaconda3 (or your install directory) in the address bar. This should take you to that directory. Navigate to the environments folder named envs. Select the address bar and copy that address. I got C:\ProgramData\Anaconda3\envs. You will need this later.
Open program named Anaconda Navigator (Anaconda3). You should see this from the list of newly installed programs. Alternatively, search for it and open it. This will initialize some stuff (unknown to me) that I have found necessary to be able to complete this guide. For the next steps we dont need this program running. You could close it if you want.
Decide on a name for the (ana)conda environment that we will create. I used py37 for simplicity. You only need to do this once for the python projects you will make. It is possible to make more environments if you should need that for some python projects in the future.
Open program named Anaconda Prompt (Anaconda3), preferentially as administrator. Opening as administrator may prevent complications that could occur on some systems. To do so, search for the program and then right-click it, and choose Run as administrator.
Enter this command: conda create -n py37 python=3.7 anaconda. It should prompt you to install some packages. Enter y to accept and proceed with the setup. This step may take some time to finish. Once finished, it may show you the needed command to activate the environment. Don't activate it just yet, ie. ignore that message for now.
Assuming environment path C:\ProgramData\Anaconda3\envs and environment name py37, run the following command (alter as needed to match your environment path and name): set PATH=C:\ProgramData\Anaconda\envs\py37\Scripts;C:\ProgramData\Anaconda\envs\py37;%PATH%
Run this command: conda activate py37. This will activate your environment.
Navigate to a folder you can easily access, such as the Documents folder on your machine. To do so, execute this command: cd "C:\Users\YourUsername\Documents".
Execute the following command: echo %PATH% > path_value.txt. This will export "PATH" values to a text file that can be found in the Documents folder as path_value.txt. Open this file and copy the content within. This will be needed in the following steps with setting up PyCharm for use with the Anaconda environment.
In PyCharm, navigate to Settings - Tools - Terminal. Check that Start directory field contains the path of your project folder, ie. such as C:/Users/YourUsername/Documents/YourProjectFolderName. Then, select the folder icon for the Environment variables field. Click the plus symbol, and add a new entry with PATH and your path value (as found from the path_value.txt file) in the Name and Value fields, respectively.
In PyCharm, navigate to Settings - Project Interpreter - Add Python Interpreter - Conda Environment - Existing environment. Browse for C:\ProgramData\Anaconda3 (or your install directory). Select the file named python.exe. I chose to edit the Name field of this Anaconda python interpreter as Python 3.7 Anaconda.
In PyCharm, navigate to Settings - Build, Execution, Deployment - Console - Python Console. Check that the Python interpreter field contains Project Default (Python 3.7 Anaconda) or similar entry. The Environment variables input may be empty. Select the folder button next to it and add a new entry with PATH and your path value (as found from the path_value.txt file) in the Name and Value fields, respectively. Exactly the same entries as was inputted in step 12.
[Optional] In PyCharm, navigate to Settings and search for the Run context configuration option. Right click it and select a desired shortcut method. Personally I use a keyboard shortcut which is set to Ctrl+Shift+Less. Once the rest of these steps are followed, this will allow you to run the current python .py file you have open, without having to manually set up configuration options for it (through Add Configuration option, next to green play button, as seen if you have no configurations set up from before). It will force PyCharm to use the default project interpreter (which now is the desired Anaconda-delivered Python 3.7 installation) for whatever project you have open. To use it, just open a .py python file with some code inside, click anywhere inside of it, and then use your shortcut option.
[Note: If you skipped step 15, go to step 17] Run your python file with the method from step 15. This should automatically set up a run configuration option for that file. You may get an error of missing packages. Ignore that for now.
Select Edit Configuration or Add Configuration in the dropdown box next to the green play / run button. Open the Templates tree, then select Python. Check that the Python interpreter option contains Python 3.7 Anaconda or similar. The Environment variables field may contain PYTHONUNBUFFERED=1. Regardless, select the related folder button and add a new entry with PATH and your path value (as found from the path_value.txt file) in the Name and Value fields, respectively. Exactly the same as we did in steps 12 and 14.
Restart PyCharm to re-initialize the Terminal and Python Console windows. Or manually close and reopen those windows.
You have now created and activated an (ana)conda environment, and enabled it's use from within PyCharm. You should also now be able to ie. copy your code over to a fresh new file, and then hit ie. Ctrl+Shift+Less to run the file without having to manually set a configuration file for it.
Hope this helped!
Sources: source1, source2, source3
In my Experience I just opened PyCharm as administrator and the error was gone!
If you use PyCharm to create conda environment, you can choose conda environment not virtualenv.
When you get the error like "can't get the /path/to/", you can open PyCharm with administrator.
If you use "anaconda prompt" to create conda environment, you can use command line like conda create -n py36 python=3.6. Then you can activate environment using conda activate py36.
I have a python project working fine in Aptana.
I then started to use pipenv for the project's environment management and now I can't get Aptana to use that environment.
I also set up a new project then added it to Aptana and Aptana uses a 3.7 version of python instead of the pipenv python 2.7.
Any suggestions on where to start looking?
Pipenv and python folders
Get the location where pipenv is storing the virtual environment with:
pipenv --venv
It will return a folder: [environment_folder]
Also, get at hand the location of the original python executable, the one used by pipenv: [python_folder]
Eclipse configuration
Go to the existing project where you want to use pipenv or create a new python project.
Go to Eclipse menu: Project > Properties
Choose: PyDev - Interpreter
Click: "Click here to configure an interpreter not listed"
Choose "New" from python interpreter
Use the environment_folder output of pipenv --venv
Set Interpreter Executable to: [environment_folder]\Scripts\python.exe
When propmted, select folders to add to system PYTHONPATH:
[python_folder]\Lib
[python_folder]\DLLs
[environment_folder]\
[environment_folder]\lib [environment_folder]\Scripts
[environment_folder]\lib\site-packages
Add those folders.
Accept and apply.
And everything should be ready.
been searching for this with no success, i don't know if i am missing something but i have a virtualenv already but how do i create a project to associate the virtualenv with, thanks
P.S. Am on windows
I could be wrong here, but I do not believe that a virtualenv is something that is by its very nature something that you associate with a project. When you use a virtualenv, you're basically saying, "I'm taking this Python interpreter, installing what I want on it, and setting it aside from the Python interpreter that the entire computer uses by default." Virtualenv does not have a concept of a Python "project"; it is just a custom version of a Python interpreter that you run code through. There are tools in IDEs like PyCharm that enable you to associate a project with a virtualenv, but those are another layer on top of the base software.
In order to use a virtualenv with a project, you will need to "activate" it every time you wish to use it. The documentation for activating a virtualenv on Windows is found here.
EDIT:
Saw that you had virtualenvwrapper tagged in your post, so I did a bit of hunting on that. It would appear that there is the mkproject command, which creates a project folder and then associates it with a virtualenv interpreter. Documentation on it can be found here.
Requirements:
Virtual Env
Pycharm
Go to Virtual env and type which python
Add remote project interpreter (File > Default Settings > Project Interpreter (cog) add remote)
You'll need to set up your file system so that PyCharm can also open the project.
NOTE:
do not turn off your virtual environment without saving your run configurations that will cause pycharm to see your run configurations as corrupt
There's a button on the top right that reads share enable this and your run configs will be saved to a .idea file and you'll have a lot less issues
If you already have your virtualenv installed you just need to start using it.
Create your projects virtual environment using virtualenv env_name on cmd. To associate a specific version of python with your environment use: virtualenv env_name -p pythonx.x;
Activate your environment by navigating into its Scripts folder and executing activate.
Your terminal now is using your virtual environment, that means every python package you install and the python version you run will be the ones you configured inside your env.
I like to create environments with the names similar to my projects, I always use one environment to each project, that helps keeping track of which packages my specific projects need to run.
If you haven't read much about venvs yet, try googling about requirements.txt along with pip freeze command those are pretty useful to keep track of your project's packages.
I like Pipenv: Python Dev Workflow for Humans to manage environments:
Pipenv is a tool that aims to bring the best of all packaging worlds (bundler, composer, npm, cargo, yarn, etc.) to the Python world. Windows is a first-class citizen, in our world.
It automatically creates and manages a virtualenv for your projects, as well as adds/removes packages from your Pipfile as you install/uninstall packages. It also generates the ever-important Pipfile.lock, which is used to produce deterministic builds.
Pipenv is primarily meant to provide users and developers of applications with an easy method to setup a working environment.