This repository contains three Python scripts for generating visualizations using matplotlib and numpy. Each script takes input for either 1D, 2D, or 3D data and visualizes them in interactive plots. The scripts are named based on the type of data they handle: OneCoordinateGraph.py, TwoCoordinatesGraph.py, and ThreeCoordinatesGraph.py.
- Python 3.x
matplotlibnumpy
You can install the required libraries using pip:
pip install matplotlib numpy-
Clone this repository:
git clone https://github.com/kiruthikpurpose/PythonGraphs.git cd PythonGraphs -
Ensure you have Python 3.x installed on your system.
-
Install the dependencies:
pip install -r requirements.txt
This script allows you to plot a series of values (n terms) against their index positions (1D data).
To run the script:
python OneCoordinateGraph.pyYou will be prompted to enter the number of terms and the values themselves. The script will display a scatter plot with lines connecting consecutive terms, with colors applied based on their index.
This script generates a 2D scatter plot based on n pairs of (x, y) coordinates.
To run the script:
python TwoCoordinatesGraph.pyAfter entering the number of points and their x, y coordinates, the script will display a 2D plot with each point connected to the next, with a color gradient based on their order.
This script allows you to plot n points in 3D space using their (x, y, z) coordinates.
To run the script:
python ThreeCoordinatesGraph.pyYou will be prompted to input the number of points followed by their respective x, y, and z coordinates. The script will generate a 3D scatter plot, connecting consecutive points and using a color gradient for clarity.
This project is licensed under the MIT License. See the LICENSE file for details.