Python application that reads data from a CSV file and displays a timeline graph of energy consumption (Wh).
This Python application imports energy consumption data stored in a CSV file and visually displays the temporal evolution of consumption in Watt-hours (Wh).
The user can easily analyze variations and trends in energy consumption over time through simple, interactive graphs.
State
Last OK version: v2 (2022)
Consumption Viewer is a Python application dedicated to visualizing energy consumption data. The program imports data from a CSV file, processing and graphically representing the evolution of consumption in Watt-hours (Wh) over time.
This tool allows you to monitor consumption patterns, identify peaks or anomalies, and support decisions for energy optimization.
The intuitive graphical interface makes it easy to interpret the data, making it useful for personal or professional analysis.
Main features:
-Import and read CSV data
-Graphical visualization of the timeline of energy consumption
-Easy interpretation of variations over time.
Possible future improvements:
-Support for multiple data formats
-Addition of temporal and comparative filters
-Integration with real-time databases for continuous monitoring.