ModuleNotFoundError: No module named 'sklearn' in Python

# ModuleNotFoundError: No module named 'sklearn' in Python

The Python "ModuleNotFoundError: No module named 'sklearn'" occurs when we forget to install the scikit-learn module before importing it or install it in an incorrect environment.

To solve the error, install the module by running the pip install scikit-learn command.

Open your terminal in your project's root directory and install the scikit-learn module.

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# 👇️ In a virtual environment or using Python 2
pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3 (could also be pip3.10 depending on your version)
pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you get a permissions error
sudo pip3 install scikit-learn scipy matplotlib numpy
pip install scikit-learn scipy matplotlib numpy --user

# 👇️ If you don't have pip in your PATH environment variable
python -m pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3 (could also be pip3.10 depending on your version)
python3 -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Using py alias (Windows)
py -m pip install scikit-learn scipy matplotlib numpy

# 👇️ For Anaconda
conda install -c anaconda scikit-learn

# 👇️ For Jupyter Notebook
!pip install scikit-learn scipy matplotlib numpy

The commands also install the scipy, matplotlib and numpy packages but you can only install the packages you intend to use.

After you install the scikit-learn package, try importing it like:

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from sklearn import datasets, svm, metrics

print(dir(datasets))

# Common causes of the error

The error occurs for multiple reasons:

1. Not having the scikit-learn package installed by running pip install scikit-learn.
2. Installing the package in a different Python version than the one you're using.
3. Installing the package globally and not in your virtual environment.
4. Your IDE running an incorrect version of Python.
5. Naming your module sklearn.py which would shadow the official module.
6. Declaring a variable named sklearn which would shadow the imported variable.

If the error persists, get your Python version and make sure you are installing the package using the correct Python version.

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python --version

For example, my Python version is 3.10.4, so I would install the scikit-learn package with pip3.10 install scikit-learn.

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pip3.10 install scikit-learn

# 👇️ If you get a permissions error use pip3 (NOT pip3.X)
sudo pip3 install scikit-learn

Notice that the version number corresponds to the version of pip I'm using.

If the PATH for pip is not set up on your machine, replace pip with python3 -m pip:

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# 👇️ Make sure to use your version of Python, e.g. 3.10
python3 -m pip install scikit-learn

If the error persists, try restarting your IDE and development server/script.

# Check if the package is installed

You can check if you have the scikit-learn package installed by running the pip show scikit-learn command.

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# 👇️ Check if you have scikit-learn installed
pip show scikit-learn

# 👇️ If you don't have pip set up in PATH
python -m pip show scikit-learn

The pip show scikit-learn command will either state that the package is not installed or show a bunch of information about the package, including the location where the package is installed.

# Make sure your IDE is using the correct Python version

If the package is not installed, make sure your IDE is using the correct version of Python.

For example, In VSCode, you can press CTRL + Shift + P or (⌘ + Shift + P on Mac) to open the command palette.

Then type "Python select interpreter" in the field.

Then Select the correct Python version from the dropdown menu.

# Install the package in a Virtual Environment

If you are using a virtual environment, make sure you are installing scikit-learn in your virtual environment and not globally.

You can try creating a virtual environment if you don't already have one.

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# 👇️ Use the correct version of Python when creating VENV
python3 -m venv venv

# 👇️ Activate on Unix or MacOS
source venv/bin/activate

# 👇️ Activate on Windows (cmd.exe)
venv\Scripts\activate.bat

# 👇️ Activate on Windows (PowerShell)
venv\Scripts\Activate.ps1

# 👇️ Install scikit-learn in your virtual environment
pip install scikit-learn

If the python3 -m venv venv command doesn't work, try the following 2 commands:

• python -m venv venv
• py -m venv venv

Your virtual environment will use the version of Python that was used to create it.

You also shouldn't be declaring a variable named sklearn as that would also shadow the original module.

# Try reinstalling the package

If the error is not resolved, try to uninstall the scikit-learn package and then install it.

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# 👇️ Check if you have scikit-learn installed
pip show scikit-learn

# 👇️ If you don't have pip set up in PATH
python -m pip show scikit-learn

# 👇️ Uninstall scikit-learn
pip uninstall scikit-learn

# 👇️ If you don't have pip set up in PATH
python -m pip uninstall scikit-learn

# 👇️ Install scikit-learn
pip install scikit-learn

# 👇️ If you don't have pip set up in PATH
python -m pip install scikit-learn

Try restarting your IDE and development server/script.

You can also try to upgrade the version of the scikit-learn package.

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pip install scikit-learn --upgrade

# 👇️ If you don't have pip set up in PATH
python -m pip install scikit-learn --upgrade

# Import "sklearn" could not be resolved from source Pylance

The error "Import "sklearn" could not be resolved from source Pylance" occurs when the scikit-learn module is not installed or you have selected the incorrect Python interpreter in your IDE (e.g. Visual Studio Code).

To solve the error, install scikit-learn and select the correct Python interpreter in your IDE.

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Import "sklearn" could not be resolved from source Pylance(reportMissingModuleSource) [Ln 1, Col 8]

# Make sure the correct Python interpreter is selected in your IDE

If you have multiple Python versions installed on your machine, you might have installed the scikit-learn package using the incorrect version or your IDE might be set up to use a different version.

For example, In Visual Studio Code you can:

1. Press CTRL + Shift + P or (⌘ + Shift + P on macOS) to open the command palette.

Then type "Python select interpreter" in the search field.

2. Select the correct Python version from the dropdown menu.

If the error persists, try restarting your IDE and development server/script. VSCode often glitches and a reboot resolves the issue.

If the error is not resolved, try to use the Visual Studio Code terminal to install the scikit-learn module.

You can press CTRL + ` (Backtick) on your keyboard to open the Visual Studio code terminal.

Once you open the terminal, Visual Studio Code will automatically activate your virtual environment (if you have one).

Run the pip install scikit-learn command.

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pip install scikit-learn

If the error persists, try to select the Python interpreter by specifying the path:

1. Press CTRL + Shift + P or (⌘ + Shift + P on Mac) to open the command palette.
2. Type "Python select interpreter" in the field.

3. Select "Enter interpreter path...".

4. Click on "Find".

5. In the window that opens, navigate to your Python executable:

• If you have a virtual environment on Windows, click on your venv folder, then double-click on the Scripts folder, select the python.exe file and then Select interpreter.

• If you have a virtual environment on macOS or Linux, click on your venv folder, then double-click on the bin folder, select the python file and then Select interpreter.

• If you don't have a virtual environment, use one of the following commands to get your path to your python.exe or python executable, specify the path to the file and select the executable.

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where python

python -c "import sys; print(sys.executable)"

If the error persists, try restarting your IDE and development server/script.

# Alternatively, use a comment to disable the warning

If none of the suggestions helped, you can use a comment to disable the Pylance warning in your IDE.

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import sklearn  # type: ignore

print(sklearn)

You simply have to add the # type: ignore command on the same line as the import statement to disable the check for the specific import.

# Table of Contents

1. Install scikit-learn (sklearn) on Windows
2. Install scikit-learn (sklearn) on macOS or Linux
3. Install scikit-learn (sklearn) in Visual Studio Code
4. Install scikit-learn (sklearn) in PyCharm
5. Install scikit-learn (sklearn) in Anaconda
6. Install scikit-learn (sklearn) in Jupyter Notebook

# Install scikit-learn (sklearn) on Windows

To install the scikit-learn module on Windows:

1. Type CMD in the search bar and open the Command Prompt application.
2. Type pip install scikit-learn and press Enter.

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pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you don't have pip in your PATH environment variable
python -m pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
python3 -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Using py alias
py -m pip install scikit-learn scipy matplotlib numpy

# 👇️ If you get a permissions error
pip install scikit-learn scipy matplotlib numpy --user

# 👇️ For Anaconda
conda install -c conda-forge scikit-learn

The commands also install the scipy, matplotlib and numpy packages but you can only install the packages you intend to use.

If the command doesn't succeed, try running CMD as an administrator.

If you get the error 'pip' is not recognized as an internal or external command, use the python -m command when installing scikit-learn.

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python -m pip install scikit-learn scipy matplotlib numpy

python3 -m pip install scikit-learn scipy matplotlib numpy

py -m pip install scikit-learn scipy matplotlib numpy

Alternatively, you can install the scikit-learn module in a virtual environment:

1. Open the root directory of your project.
2. Press Shift and right-click in Explorer.

3. Click on "Open PowerShell window here".
4. Run the following commands.

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# 👇️ Might also be: "python3 -m venv venv"
python -m venv venv

# 👇️ Activate on Windows (PowerShell)
venv\Scripts\Activate.ps1

# 👇️ Activate on Windows (cmd.exe)
venv\Scripts\activate.bat

# 👇️ Install scikit-learn in your virtual environment
pip install scikit-learn scipy matplotlib numpy

If the python -m venv venv command doesn't work, try the following 2 commands:

• python3 -m venv venv
• py -m venv venv.

If you see an error message that ps1 cannot be loaded because running scripts is disabled on this system, run the following command, type "yes" when prompted and rerun the activation command.

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Set-ExecutionPolicy RemoteSigned -Scope CurrentUser

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pip show scikit-learn
pip3 show scikit-learn

python -m pip show scikit-learn
python3 -m pip show scikit-learn

The pip show scikit-learn command will either state that the package is not installed or show a bunch of information about the package, including the location where the package is installed.

# Install scikit-learn (sklearn) on macOS or Linux

To install scikit-learn on macOS or Linux:

1. Search for "terminal" and start the application.
2. Type pip install scikit-learn and press Enter.

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pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you get a permissions error
sudo pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you don't have pip in your PATH environment variable
python -m pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
python3 -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Alternative if you get a permissions error
pip install scikit-learn scipy matplotlib numpy --user

# 👇️ For Anaconda
conda install -c conda-forge scikit-learn

The commands also install the scipy, matplotlib and numpy packages but you can only install the packages you intend to use.

If you get an error that pip isn't found, use the python -m command.

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python -m pip install scikit-learn scipy matplotlib numpy

python3 -m pip install scikit-learn scipy matplotlib numpy

If you get a permissions error, prefix the command with sudo.

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sudo pip install scikit-learn scipy matplotlib numpy

sudo pip3 install scikit-learn scipy matplotlib numpy

Alternatively, you can install the scikit-learn package in a virtual environment:

1. Open your terminal in the root directory of your project.
2. Run the following commands.

Copied!
# 👇️ Could also be "python -m venv venv"
python3 -m venv venv

# 👇️ Activate virtual env on macOS or Linux
source venv/bin/activate

# 👇️ Install scikit-learn in your virtual environment
pip install scikit-learn scipy matplotlib numpy

Your virtual environment will use the version of Python that was used to create it.

You can use the pip show command to verify scikit-learn has been installed successfully.

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pip show scikit-learn
pip3 show scikit-learn

python -m pip show scikit-learn
python3 -m pip show scikit-learn

The pip show scikit-learn command will either state that the package is not installed or show a bunch of information about the package.

# Install scikit-learn (sklearn) in Visual Studio Code

To install scikit-learn in Visual Studio Code:

1. Press CTRL + ` (Backtick) on your keyboard to open the terminal.
2. Run the pip install scikit-learn command to install the scikit-learn module.

Copied!
pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you get a permissions error
sudo pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you don't have pip in your PATH environment variable
python -m pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
python3 -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Using py alias
py -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Alternative if you get a permissions error
pip install scikit-learn scipy matplotlib numpy --user

The commands also install the scipy, matplotlib and numpy packages but you can only install the packages you intend to use.

When installing Python modules in Visual Studio code, make sure that your IDE is configured to use the correct Python version.

Press CTRL+Shift+P or (⌘ + Shift + P on Mac) to open the command palette.

Then type "Python select interpreter" in the field.

Then Select the correct Python version from the dropdown menu.

You can use the python --version command if you need to get your version of Python.

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python --version
python3 --version

You can also try creating a virtual environment if you don't already have one.

Copied!
# 👇️ Could also be "python -m venv venv" or "py -m venv venv"
python3 -m venv venv

# 👇️ Activate on Unix or MacOS
source venv/bin/activate

# 👇️ Activate on Windows (cmd.exe)
venv\Scripts\activate.bat

# 👇️ Activate on Windows (PowerShell)
venv\Scripts\Activate.ps1

# 👇️ Install scikit-learn in your virtual environment
pip install scikit-learn scipy matplotlib numpy

Your virtual environment will use the version of Python that was used to create it.

# Install scikit-learn (sklearn) in PyCharm

To install scikit-learn in PyCharm:

1. Press Alt+F12 on your keyboard to open the terminal.
2. Run the pip install scikit-learn command to install the scikit-learn module.

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pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you get a permissions error
sudo pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you don't have pip in your PATH environment variable
python -m pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
python3 -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Using py alias
py -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Alternative if you get a permissions error
pip install scikit-learn scipy matplotlib numpy --user

The commands also install the scipy, matplotlib and numpy packages but you can only install the packages you intend to use.

Alternatively, you can use the IDE itself to install the module.

1. Click on "File" > "Settings" > "Project" > "Python Interpreter".
2. Click on the + icon and type scikit-learn.
3. Click on "Install Package".

Click on "File" > "Settings" > "Project" > "Python Interpreter".

Then Select the correct Python version from the dropdown menu.

You can use the python --version command if you need to get your version of Python.

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python --version
python3 --version

# Install scikit-learn (sklearn) in Anaconda

To install scikit-learn in Anaconda:

1. Open your Anaconda Navigator.
2. Click on "Environments" and select your project.
3. Type scikit-learn in the search bar to the right.
4. Tick the scikit-learn package and click on "Apply".

Alternatively, you can install the scikit-learn package with a command.

If you are on Windows, search for "Anaconda Prompt" and open the application.

If you are on macOS or Linux, open your terminal.

Run the following command to install the scikit-learn package.

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# 👇️ Using conda
conda install -c conda-forge scikit-learn

# 👇️ Alternatively use `pip`
pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you get a permissions error
sudo pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you don't have pip in your PATH environment variable
python -m pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
python3 -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Using py alias
py -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Alternative if you get a permissions error
pip install scikit-learn scipy matplotlib numpy --user

The commands also install the scipy, matplotlib and numpy packages but you can only install the packages you intend to use.

Click on the following article if you need to install a specific version of the package using Anaconda.

# Install scikit-learn (sklearn) in Jupyter Notebook

To install scikit-learn in Jupyter Notebook:

1. Open your terminal and type "jupyter notebook".

2. Click on "New" and then "Terminal" in the browser tab.

3. Type pip install scikit-learn and press Enter.

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# 👇️ Using pip
pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you get a permissions error
sudo pip3 install scikit-learn scipy matplotlib numpy

# 👇️ If you don't have pip in your PATH environment variable
python -m pip install scikit-learn scipy matplotlib numpy

# 👇️ For Python 3
python3 -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Using py alias
py -m pip install scikit-learn scipy matplotlib numpy

# 👇️ Using conda
conda install -c conda-forge scikit-learn

# 👇️ Alternative if you get a permissions error
pip install scikit-learn scipy matplotlib numpy --user

The commands also install the scipy, matplotlib and numpy packages but you can only install the packages you intend to use.

Alternatively, you can use the Python ipykernel.

1. Open your terminal and type "jupyter notebook".

2. Click on "New" and then click on "Python 3 (ipykernel)".

3. Type !pip install scikit-learn and click on "Run".

Note that the pip install command must be prefixed with an exclamation mark if you use this approach.

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!pip install scikit-learn

Once you type the command, click "Run" to install the scikit-learn module.

If you get a permissions error, e.g. "[WinError: 5] Access is denied", add the --user option to the installation command.

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!pip install scikit-learn --user

If the error persists, try to restart the Jupyter Kernel and rerun the command.