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'A simplified aggegate of FRED data using fredapi package'

Project description

lazy_fred

example workflow

lazy_fred: Effortless FRED Data Collection

lazy_fred is a Python library designed to simplify the process of collecting economic data from the Federal Reserve Economic Data (FRED) API. It automates searching for relevant series, filtering by frequency and popularity, and exporting the data into convenient CSV files.

Features

  • Automated Search: Searches FRED across various economic categories.
  • Filtered Selection: Selects series based on popularity and frequency (daily, weekly, monthly).
  • Error Handling: Includes retry mechanisms and logging for robust data collection.
  • CSV Export: Saves the collected data in separate CSV files for easy analysis.

Installation

  1. Clone the Repository:

    git clone https://github.com/your-username/lazy_fred.git
    
  2. Install Dependencies:

    pip install -r requirements.txt
    
  3. Obtain a FRED API Key:

    • Visit the FRED website and get your free API key.

    • Create a .env file in the project root directory and add your API key:

      API_KEY=your_api_key_here
      

Usage

  1. Configure Search Categories:

    • Modify the search_categories list in the script to include the categories of interest.
  2. Run the Script:

    python lazy_fred.py
    
  3. Output:

    • The script will create three CSV files in your project directory:
      • lazy_fred_Search.csv: Contains the search results from FRED.
      • daily_data.csv: Contains daily time series data.
      • monthly_data.csv: Contains monthly time series data.
      • weekly_data.csv: Contains weekly time series data.

Code Structure

  • AccessFred Class:

    • Handles API key retrieval and validation.
  • collect_categories Class:

    • Executes searches across categories and consolidates results.
  • daily_export, monthly_export, and weekly_export Classes:

    • Filter series by frequency and popularity.
    • Collect and export time series data.

Contributions

Contributions are welcome! Feel free to open issues or submit pull requests.

License

This project is licensed under the MIT License.

Disclaimer

This library is not affiliated with or endorsed by the Federal Reserve Bank of St. Louis or the FRED project.

Acknowledgments

  • This project utilizes the fredapi library for interacting with the FRED API.

Contact

For any questions or feedback, please open an issue in the repository.

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