Installation:
I'm a newbie in Python and I'm facing issues with Anaconda. Whenever I launch Anaconda Navigator it shows Python stopped working and crashes.
Also if I type python in the command prompt I get a warning:
"Python interpreter is in a conda environment, but the environment has not been activated. Libraries may fail to load. To activate this environment please see https://conda.io/activation"
I have seen such questions before and tried the solutions, but nothing seems to work. I also tried to reinstall, but it's the same every time.
Try:
conda activate base
Or create a venv:
conda create my_env
conda activate my_env
Or install the Python system directly. Download from here.
This seems to be two separate issues:
Crashing on Anaconda Navigator startup
Try to update PyQt. For more information, see: Spyder and Anaconda Navigator do not open - "Python has stopped working" (Fixed) #10088
For the Python commands, try to activate your environment: conda activate base.
I have been using Spyder installed with with Anaconda distribution which uses Python 2.7 as default. Currently I need to set up a development virtual environment with Python 3.4.
Top two suggestions after research online are:
to set up virtual environment first and to point change the preferences of Spyder , e.g here;
to install all Spyder dependencies, like PyQt4, in the virtual environment itself, e. g. here ;
Both recommendations are cumbersome and do not look like smart options for development.
Is there a solution that would allow to run Spyder with required Python version automatically after activating the required virtual environment?
Here is a quick way to do it in 2021 using the Anaconda Navigator. This is the most reliable way to do it, unless you want to create environments programmatically which I don't think is the case for most users:
Open Anaconda Navigator.
Click on Environments > Create and give a name to your environment. Be sure to change Python/R Kernel version if needed.
Go "Home" and click on "Install" under the Spyder box.
Click "Launch/Run"
There are still a few minor bugs when setting up your environment, most of them should be solved by restarting the Navigator.
If you find a bug, please help us posting it in the Anaconda Issues bug-tracker too! If you run into trouble creating the environment or if the environment was not correctly created you can double check what got installed: Clicking the "Environments" opens a management window showing installed packages. Search and select Spyder-related packages and then click on "Apply" to install them.
There is an option to create virtual environments in Anaconda with required Python version.
conda create -n myenv python=3.4
To activate it :
source activate myenv # (in linux, you can use . as a shortcut for "source")
activate myenv # (in windows - note that you should be in your c:\anaconda2 directory)
UPDATE. I have tested it with Ubuntu 18.04. Now you have to install spyder additionally for the new environment with this command (after the activation of the environment with the command above):
conda install spyder
(I have also tested the installation with pip, but for Python 3.4 or older versions, it breaks with the library dependencies error that requires manual installation.)
And now to run Spyder with Python 3.4 just type:
spyder
EDIT from a reader:
For a normal opening, use "Anaconda Prompt" > activate myenv > spyder (then the "Anaconda Prompt" must stay open, you cannot use it for other commands, and a force-close will shut down Spyder). This is of course faster than the long load of "Anaconda Navigator" > switch environment > launch Spyder (#adelriosantiago's answer).
What worked for me :
run spyder from the environment (after source activate)
go to Tools --> preferences --> python Interpreter and select the python file from the env you want to link to spyder
ex : /home/you/anaconda3/envs/your_env/bin/python
Worked on ubuntu 16, spyder3, python3.6.
Additional to tomaskazemekas's answer: you should install spyder in that virtual environment by:
conda install -n myenv spyder
(on Windows, for Linux or MacOS, you can search for similar commands)
To do without reinstalling spyder in all environments follow official reference here.
In summary (tested with conda):
Spyder should be installed in the base environment
From the system prompt:
Create an new environment. Note that depending on how you create it (conda, virtualenv) the environment folder will be located at different place on your system)
Activate the environment (e.g., conda activate [yourEnvName])
Install spyder-kernels inside the environment (e.g., conda install spyder-kernels)
Find and copy the path for the python executable inside the environment. Finding this path can be done using from the prompt this command python -c "import sys; print(sys.executable)"
Deactivate the environment (i.e., return to base conda deactivate)
run spyder (spyder3)
Finally in spyder Tool menu go to
Preferences > Python Interpreter > Use the following interpreter and paste the environment python executable path
Restart the ipython console
PS: in spyder you should see at the bottom something like this
Voila
I just had the same problem trying to get Spyder to run in Virtual Environment.
The solution is simple:
Activate your virtual environment.
Then pip install Spyder and its dependencies (PyQt5) in your virtual environment.
Then launch Spyder3 from your virtual environment CLI.
It works fine for me now.
The above answers are correct but I calling spyder within my virtualenv would still use my PATH to look up the version of spyder in my default anaconda env. I found this answer which gave the following workaround:
source activate my_env # activate your target env with spyder installed
conda info -e # look up the directory of your conda env
find /path/to/my/env -name spyder # search for the spyder executable in your env
/path/to/my/env/then/to/spyder # run that executable directly
I chose this over modifying PATH or adding a link to the executable at a higher priority in PATH since I felt this was less likely to break other programs. However, I did add an alias to the executable in ~/.bash_aliases.
From Spyder official page on Github:
The naive approach
To use Spyder with another environment, the simplest way is to just
install it directly into the environment from which you'd like to use
the packages in, and run it from there. This works with all Spyder
versions and should require no extra configuration once the IDE is
installed; however, it results in multiple installations to manage and
isn't as flexible or configurable as the alternative. Therefore, when
dealing with multiple environments, we recommend the modular
approach.
The modular approach
Starting with Spyder 3.3.1, you can install the modular
spyder-kernels package into any Python environment (conda
environment, virtualenv/venv, system Python, WinPython, etc) in
which you wish to work, and then change the Python interpreter used by
Spyder on its IPython consoles to point to the Python executable of
that environment.
This takes a small amount of preparation and configuration, but is
much "lighter" and quicker than a full Spyder installation into that
environment, avoids dependency conflicts, and opens up new workflow
possibilities.
To achieve this, follow these steps:
1- Activate the environment (e.g. myenv) in which you'd like to work (e.g. with conda activate myenv for conda, source myenv/bin/activate or workon myenv for virtualenv/venv, etc)
2- Install the spyder-kernels package there, with the command:
3- conda install spyder-kernels if using conda/Anaconda,
4- pip install spyder-kernels if using pip/virtualenv.
5- After installing via either method, run the following command inside the same environment:
python -c "import sys; print(sys.executable)"
and copy the path returned by that command (it should end in
python, pythonw, python.exe or pythonw.exe, depending on your
operating system).
6- Deactivate that environment, activate the one in which Spyder is installed (if you've installed it in its own environment) and start
Spyder as you normally would.
7- After Spyder has started, navigate to Preferences > Python Interpreter > Use the following interpreter and paste the path from
Step 3 into the text box.
8- Start a new IPython console. All packages installed in your myenv environment should be available there. If conda is used, the
name of the current environment and its Python version should be
displayed in Spyder's status bar, and hovering over it should display
the path of the selected interpreter.
On Windows:
You can create a shortcut executing
Anaconda3\pythonw.exe Anaconda3\cwp.py Anaconda3\envs\<your_env> Anaconda3\envs\<your env>\pythonw.exe Anaconda3\envs\<your_env>\Scripts\spyder-script.py
However, if you started spyder from your venv inside Anaconda shell, it creates this shortcut for you automatically in the Windows menu. The steps:
install spyder in your venv using the methods mentioned in the other answers here.
(in anaconda:) activate testenv; though in my case, this step was not needed.
Look up the windows menu "recently added" or just search for "spyder" in the windows menu, find spyder (testenv) and
[add that to taskbar] and / or
[look up the file source location] and copy that to your desktop, e.g. from C:\Users\USER\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Anaconda3 (64-bit), where the spyder links for any of my environments can be found.
Now you can directly start spyder from a shortcut without the need to open anaconda prompt.
For me below worked:
Open Anaconda, setup new environment, then select the env and click on play icon as shown below:
Then click on Open Terminal, and type "spyder" in terminal, it will open the spyder with selected env.
Note: For me directly opening Sypder from Home page was always opening with base env.
I follow one of the advice above and indeed it works. In summary while you download Anaconda on Ubuntu using the advice given above can help you to 'create' environments. The default when you download Spyder in my case is: (base) smith#ubuntu ~$. After you create the environment, i.e. fenics and activate it with $ conda activate fenics the prompt change to (fenics) smith#ubuntu ~$. Then you launch Spyder from this prompt, i.e $ spyder and your system open the Spyder IDE, and you can write fenics code on it. Remember every time you open a terminal your system open the default prompt. You have to activate your environment where your package is and the prompt change to it i.e. (fenics).
I am running Pycharm 2019.3 on Linux Ubuntu 18.04 LTS. I have created a virtual environment for my Pycharm project from within the IDE. I am able to access the packages from the virtual environment when I run programs from within the IDE. However, if I activate the virtual environment created from within Pycharm from the terminal (using source venv/bin/activate, resulting in the (venv) prefix on the command line), the packages I added to the virtual environment can no longer be found. Why is this? The (venv) prefix makes me think that I have successfully activated the virtual environment. What can I do to use this virtual environment outside of Pycharm?
I think this is because pycharm has created a virtual environment in a different location. I think you can check both the locations with echo $VIRTUAL_ENV and check if they are the same.
I created a new project in PyCharm and I made an environment file for the project. I want to use Jupyter Notebook with that project now and since Jupyter in PyCharm is not as great, I want to launch it from cmd. I am not able to figure out to activate the environment created in PyCharm from the command line. Can anyone help me with that?
find the location of environment from PyCharm's project's interpreter settings
From the terminal Run:
source /path/to/env-activate
Solution For Linux
try to use pyenv, once you install virtualenv with pyenv for example
cd ~/your_project_root_folder
pyenv install 3.6.1
pyenv virtualenv 3.6.1 your_venv_name
pyenv local your_venv_name
Then whatever shell command is launched (even from pyenv) you will have correct virtualenv and you don't need to change anything inside pycharm
PyENV
https://github.com/pyenv/pyenv-installer