[FREE] Python CSV Data Visualization Dashboard (Source Code)
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Phil Yeh
📈 Stop struggling with slow Excel charts. Visualize industrial data instantly.
Your logger tools (Modbus, MQTT, etc.) generate high-quality CSV data, but analyzing raw numbers is slow and error-prone. This lightweight Dashboard is the perfect companion tool, turning your data into professional, readable time-series plots with a single click.
✨ Core Features
- Dynamic Axis Selection (Key Feature): Easily select any column from your CSV file for the X-axis (Time) and Y-axis (Value) using dropdown menus.
-
Time-Series Formatting: Automatically converts timestamp strings (like
2025-12-05 15:30:00) into professional time axis formats. - Matplotlib Embedding: Displays high-quality, zoomable charts directly within the simple Tkinter GUI.
- Simple Interface: Intuitive file browsing for quick analysis of any logger output.
📦 What You Get
-
Full Source Code (
dashboard_app.py): Clean Python code (Tkinter, Pandas, Matplotlib). -
Setup Guide (
README.md): Instructions on dependencies and usage. - Sample Data: A CSV file pre-formatted for immediate testing.
This tool is essential for any engineer needing quick data analysis without installing heavy database or SCADA software.
Instantly plot Modbus/MQTT/CAN logs into professional, time-series charts using Python. No Excel or database required.
Language
Python 3.x
Libraries
Pandas, Matplotlib
Output
Real-time Plotting (GUI)
Interoperability
Works with all Modbus/MQTT/CAN Loggers
Size
1.94 MB
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