oxygen-production-based-on-the-leaf-color's Introduction

Plant Data Visualization

This Python script visualizes plant data using scatter plots. It reads a CSV file containing information about plants, such as leaf color, oxygen production, and carbon dioxide usage, and creates scatter plots to analyze the relationships between these variables.

Prerequisites

Python 3.x
pandas
matplotlib
numpy

Installation

Clone the repository:

git clone https://github.com/username/repo.git
cd repo

Install the required dependencies:
```
pip install -r requirements.txt
```

Usage

Prepare the dataset:
- Make sure the plant data CSV file (data.csv) is present in the same directory as the script.
Run the script:
```
python plant_data_visualization.py
```
The script will generate two scatter plots:
- Leaf Color vs. Oxygen Production: This plot visualizes the relationship between leaf color (represented as hexadecimal codes) and oxygen production.
- Carbon Dioxide Used vs. Oxygen Production: This plot shows the relationship between carbon dioxide usage and oxygen production.
The plots will be displayed on your screen.
- The Leaf Color vs. Oxygen Production plot uses different colors for different leaf colors, represented by the hexadecimal codes.
- The Carbon Dioxide Used vs. Oxygen Production plot uses a blue color for all data points.

Customization

You can modify the code to adjust the plot size, axis labels, and titles according to your preferences.
The script includes commented code to annotate each data point with its name, which can be enabled by uncommenting the relevant lines.

License

This project is licensed under the MIT License.


Make sure to replace `username/repo` with your actual GitHub username and repository name. Also, include the appropriate license file (`LICENSE`) in the same directory as the `README.md` file.

Feel free to modify the sections and add any additional information as needed.

Recommend Projects