LabTools

This is a Python application that reads temperature and humidity data from a CSV file and plots it using Matplotlib. The application provides a graphical user interface (GUI) built with Tkinter, allowing users to select a date range and visualize the data for that period.

Features

• Date Range Selection: Users can select the start and end dates to filter the data.
• Interactive Plotting: The application plots temperature and humidity data on two subplots, sharing the same x-axis.
• Customizable X-Axis Labels: The x-axis labels show the date and time in a custom format.
• Matplotlib Integration: The plots are created using Matplotlib, and the GUI integrates a Matplotlib toolbar for additional functionality.

Prerequisites

• Python 3.x
• Required Python packages:
  • matplotlib
  • pandas
  • tkinter
  • tkcalendar

Installation

1. Clone this repository to your local machine:

   git clone https://github.com/yourusername/temperature-humidity-plotter.git
   cd temperature-humidity-plotter

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the required packages:

   pip install matplotlib pandas tkcalendar

4. Ensure the CSV file (arduino_data.csv) is in the files directory.

CSV File Format

The CSV file should be named arduino_data.csv and placed in the files directory. It should have the following columns:

• year: Year of the data point
• month: Month of the data point
• day: Day of the data point
• hour: Hour of the data point
• temperature: Temperature value
• humidity: Humidity value

Example:

year,month,day,hour,temperature,humidity
2024,7,16,12,25.3,60
2024,7,16,13,26.1,58
2024,7,16,14,26.8,57
...