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Log Analyzer

Log Analyzer is a Streamlit application designed to visualize CSV data with flexible plotting options. It allows users to analyze log data by plotting selected Y-axes against an X-axis either in a combined graph or as separate subplots.

Features

  • File Upload: Load your CSV files directly into the application.
  • Data Preview: View a preview of the uploaded data to confirm it's loaded correctly.
  • Flexible Plotting:
    • Combined Plot: Plot all selected Y-axes against the chosen X-axis on a single graph.
    • Separate Subplots: Create separate subplots for each selected Y-axis, all sharing the same X-axis.
  • Interactive Graphs: Use Plotly for interactive and dynamic visualizations.

Installation

To run the Log Analyzer locally, you need Python and the required packages. Follow these steps to set up your environment:

  1. Clone the repository:

    git clone https://github.com/yourusername/your-repo-name.git
cd your-repo-name

  2. Create a virtual environment (optional but recommended):

    python -m venv venv
source venv/bin/activate   # On Windows use `venv\Scripts\activate`

  3. Install required packages:

    pip install streamlit pandas plotly

  4. Run the application:

    streamlit run main.py

    Replace app.py with the name of your Python script if it's different.

Usage

  1. Upload a CSV File:

    • Click on the file uploader to choose a CSV file from your local system.

  2. Select X-axis:

    • Choose the column to be used as the X-axis.

  3. Select Y-axes:

    • Select one or more columns to be used as Y-axes for plotting.

  4. Choose Plot Type:

    • Combined Plot: All selected Y-axes will be plotted on a single graph.
    • Separate Subplots: Each selected Y-axis will be plotted in its own subplot, sharing the same X-axis.

  5. View and Interact with Plots:

    • The application will display the plots according to your selections. Interact with the graphs to explore the data.

Contributing

Contributions are welcome! If you have suggestions or improvements, please submit a pull request or open an issue.

Contact

For any questions or feedback, please contact: