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:

• Name: Akhil Sam Varghese
• Email: [email protected]
• GitHub: github.com/akhilsamvarghese