matplotlib-visualizer

Are you looking to streamline your data visualization process with matplotlib? Enter matplotlib-visualizer - a cutting-edge tool designed to simplify graph generation through natural language commands. By leveraging OpenAI's GPT API, innovative prompt engineering techniques, and employing few-shot learning capabilities, matplotlib-visualizer eliminates the need for manual matplotlib coding.

Import matplotlib-visualizer via pip:

pip install pip install matplotlib-visualizer==1.0

Imagine we have a dataset data featuring four distinct curves labeled 'a', 'b', 'c', and 'd':

import numpy as np

data = {'a': [...],  # Specify the data for curve 'a'
        'b': [...],  # Specify the data for curve 'b'
        'c': [...],  # Specify the data for curve 'c'
        'd': [...]}  # Specify the data for curve 'd'

In a typical scenario where each curve needs to be plotted with specific styling and a customized title, conventional matplotlib code might look like this:

import matplotlib.pyplot as plt

plt.plot(data['a'], linestyle='dashed', label='a')
plt.plot(data['b'], label='b')
plt.plot(data['c'], label='c')
plt.plot(data['d'], label='d')

plt.title('Custom Graph Title')
plt.legend()
plt.show()

On the other hand, leveraging the intuitive functionality of matplotlib-visualizer, accomplishing the same task is simplified:

from matplotlib-visualizer.matplotlib-visualizer import matplotlib-visualizer

mpl_viz = matplotlib-visualizer("YOUR-OPENAI-API-KEY")
prompt = "Generate a graph for each curve in the dataset and title it 'Custom Graph Title'. Set curve 'a' as a dashed line."
generated_code = mpl_viz(prompt)

Inspect the code output through:

print(generated_code)  # Display the GPT-generated code

Continually evolving, this project aims to enhance and expand its capabilities over time. Thank you for considering matplotlib-visualizer for your data visualization endeavors.