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How to Solve "ModuleNotFoundError: No module named 'yaml'" in Python

The ModuleNotFoundError: No module named 'yaml' error in Python means you're trying to use the YAML library (PyYAML), but it's not installed in your current Python environment.

This guide provides a step-by-step guide to install PyYAML and fix this common error, covering different installation methods and troubleshooting tips.

Understanding the Error: yaml vs. PyYAML​

It's important to distinguish between the package name (used for installation) and the module name (used for importing):

  • PyYAML: This is the package name you use with pip install.
  • yaml: This is the module name you use in your Python code (e.g., import yaml).

The standard way to install PyYAML is with pip:

Basic Installation​

Open your terminal (or command prompt/PowerShell on Windows) and run:

pip install PyYAML

Or, if you're sure you're using Python 3:

pip3 install PyYAML

Using python -m pip (If pip Isn't in Your PATH)​

If the pip command doesn't work, try:

python -m pip install PyYAML  # Use with your system's default Python
python3 -m pip install PyYAML # Use with your system's Python 3
  • The command python -m pip uses the pip that is associated with the specific Python installation.

Windows-Specific Considerations (py launcher)​

On Windows, the py launcher is often helpful:

py -m pip install PyYAML
  • The command py will use the latest Python version.

Permissions Issues (sudo or --user)​

On Linux/macOS, you might need sudo for system-wide installation (but virtual environments are strongly preferred):

    sudo pip3 install PyYAML # System-wide installation
  • sudo runs the command with root privileges. Alternatively, install into your user's site-packages:
pip install PyYAML --user  # Install for the current user only
  • The --user argument installs the package to the current user's directory.

Using Virtual Environments (Best Practice)​

Always use virtual environments for Python projects. This isolates dependencies and avoids conflicts.

Creating a Virtual Environment​

python3 -m venv venv  # Create an environment named "venv"
# OR: python -m venv venv
# OR: py -m venv venv (Windows)

Activating the Environment​

  • macOS / Linux:

    source venv/bin/activate

  • Windows (Command Prompt):

    venv\Scripts\activate.bat

  • Windows (PowerShell):

    venv\Scripts\Activate.ps1

    You might also have to change the execution policy to activate virtual environment on PowerShell:

    Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

After activation, your prompt will usually show the environment name (e.g., (venv)). pip install now installs only into this environment.

Installing PyYAML Inside the Environment​

With the virtual environment activated:

pip install PyYAML  # Installs into the active environment

Troubleshooting​

If you're still getting ModuleNotFoundError after installing:

  • IDE Configuration (VS Code, PyCharm): Your IDE might use a different interpreter.
    • VS Code: Ctrl+Shift+P (or Cmd+Shift+P on macOS), "Python: Select Interpreter", choose your virtual environment.
    • PyCharm: File > Settings > Project > Python Interpreter (or PyCharm > Preferences > Project > Python Interpreter on macOS), select your environment.
  • Conflicting Installations/Multiple Python Versions: If you have multiple Python versions without virtual environments, you may have installed PyYAML for the wrong one. Always use virtual environments.
  • Incorrect Filenames/Variable Names: Never name your Python files yaml.py. This conflicts with the installed library. Avoid variable names like yaml as well.
  • Restarting Your IDE/Kernel: Sometimes a restart is needed, especially in Jupyter.
  • Reinstalling PyYAML: 
    pip uninstall pyyaml
    pip install pyyaml

Using PyYAML (Example)​

Once installed, you can use PyYAML to load and dump YAML data:

import yaml

data = {'name': 'John Doe', 'age': 30, 'city': 'New York'}

# Dump (serialize) to YAML
yaml_string = yaml.dump(data)
print(yaml_string)

# Load (deserialize) from YAML
loaded_data = yaml.safe_load(yaml_string) # Use safe_load for security
print(loaded_data)

Installing PyYAML in Specific Environments​

Anaconda​

conda install -c conda-forge pyyaml

Jupyter Notebook​

Within a notebook cell:

!pip install PyYAML
  • The ! runs the command as shell command.

Conclusion​

The ModuleNotFoundError: No module named 'yaml' error is resolved by correctly installing the PyYAML package, preferably within a virtual environment.

  • This guide provides complete instructions, troubleshooting steps, and an example of using the library.
  • Always use virtual environments, and double-check your IDE settings if you encounter problems.

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