hanifanta/data-logger-app

Generating Graphs and CSV for Data Logger UPT ME Amikom Yogyakarta

Generating Graphs and CSV for Data Logger UPT ME Amikom

This project involves processing and analyzing CSV files containing electrical data. The data is resampled to a daily frequency and the mean is calculated for the columns 'IA', 'IB', and 'IC'. The maximum and minimum values for these columns are also calculated on a daily basis. The results are saved as new CSV files and visualized in graphs.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

You need to have Python installed on your machine. The project also requires the following Python libraries:

• pandas
• matplotlib
• tkinter

You can install these libraries using pip:

pip install pandas matplotlib

Running the Code To run the code, navigate to the directory containing the script and run the following command:

# For CLI
python data_logger.py

# For GUI
python data_logger_gui.py

Code Overview

The main function in the script is generate_graphs_and_csv(). This function does the following:

• Asks the user for the name of the folder containing the CSV files.
• Reads each CSV file into a pandas DataFrame.
• Converts the 'IA', 'IB', and 'IC' columns to numeric.
• Resamples the data to a daily frequency and calculates the mean for the 'IA', 'IB', and 'IC' columns.
• Calculates the daily maximum and minimum values for the 'IA', 'IB', and 'IC' columns.
• Saves the resampled data to a new CSV file.
• Plots the maximum and minimum values for each column and saves the plots as PNG files.

Built With

• Python
• pandas
• matplotlib
• tkinter

Authors

• Hanif Al Irsyad