Landmark CSV Viewer

A Python application for visualizing CSV data with customizable graphs.

Features

• Load CSV files with at least 2 columns
• Create multiple graph views
• Select different columns for X and Y axes
• Auto-detects datetime columns
• Save graphs as PNG, JPEG, PDF, or SVG
• Interactive matplotlib toolbar for zooming, panning, etc.

Installation

1. Install the required packages:

pip install -r requirements.txt

Running the Application

You can run the application using:

python LandMarkCSVReader.py

Or

python run.py

Usage

1. Click "Open CSV" to load a CSV file
2. The application will automatically create an initial graph
3. Use the dropdowns to select X and Y axis data
4. Add additional graphs with the "Add Graph" button
5. Save any graph using the "Save Graph" button

Requirements

• Python 3.6+
• PyQt6
• Matplotlib
• Pandas