A simple program that plots a graph using NumPy and Matplotlib.
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Install the necessary dependencies:
- NumPy:
pip install numpy
- Matplotlib:
pip install matplotlib
- NumPy:
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Copy and run the following code in your Python environment:
import numpy as np
import matplotlib.pyplot as plt
x = [7, 13, 12, 46]
y = [2, 41, 30, 34]
plt.plot(x, y)
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Graph')
plt.show()
- Execute the code to generate the graph.
Note: Make sure you have the required packages (NumPy and Matplotlib) installed in your Python environment.
You can also try an interactive version of the Graph Plotter by following these steps:
- Click the button below to open the interactive environment:
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In the interactive environment, you will see the code provided. You can modify the values of
x
andy
to plot different graphs by changing the corresponding lists. -
Click the "Run" button or use the keyboard shortcut (Ctrl + Enter) to execute the code and see the graph.
Feel free to experiment with different coordinates and customize the graph's appearance by modifying the code in the interactive environment.
Contributions are welcome! If you have any suggestions, improvements, or new features to add to the Graph Plotter program, follow these steps:
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Fork the repository and clone it to your local machine.
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Make the necessary changes and enhancements to the code.
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Test your modifications to ensure they work as expected.
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Commit your changes and push them to your forked repository.
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Submit a pull request, explaining the changes you have made and their significance.
Your contributions will be reviewed and merged if they align with the project's goals and guidelines it will be merged as soon as possible.
Make sure to adhere to the code style, provide appropriate documentation, and write informative commit messages to ensure a smooth reviewing process.
In the above example, replace the "Open in CodePen" badge link (ABCD
) with the appropriate link to your preferred code snippet tool (such as GitHub Gist or CodePen). This will allow users to try the code directly in their browser.
Remember to include any additional instructions or details you think are necessary in your specific README file.