Simple Graphs

A small Python project focused on making data visualization and data loading simpler and more convenient.

The main idea is to create reusable utilities that reduce repetitive code when working with Matplotlib and Pandas.

This project is also being developed as a learning project for Python packaging, automated testing, and eventually publishing a package to PyPI.

Features

make_plot()

A helper function for quickly creating and configuring Matplotlib plots.

It currently supports:

• X and Y axis labels;
• plot titles;
• horizontal reference lines;
• vertical reference lines;
• grid;
• legends;
• figure size;
• X and Y axis limits;
• optional automatic display of the plot.

Example:

import numpy as np

from simple_graphs import make_plot

x = np.linspace(0, 10, 100)
y = x**2

make_plot(
    x,
    y,
    xlabel="Time (s)",
    ylabel="Position (m)",
    title="Position over Time",
)

load_data_automatically()

A utility for loading data into a Pandas DataFrame without having to manually choose the appropriate Pandas reader.

The function can currently work with:

• CSV files;
• Excel files (.xlsx and .xls);
• JSON files;
• Parquet files;
• file-like objects and in-memory buffers.

The file format can be deter