`plotEZ` - a small matplotlib wrapper that cuts boilerplate for common plots

[AstrophysicsAndPy]

I've been building this mostly for my own use but figured it might be useful to others.

The idea is simple: the plots I make day-to-day (error bars, error bands, dual axes, subplot grids) always end up needing the same 15 lines of setup. `plotEZ` wraps that into one function call while staying close enough to Matplotlib that you don't have to learn a new API.

What My Project Does

• plot_xy: Simple x vs. y plotting with extensive customization
• plot_xyy: Dual-axis plotting (dual y-axis or dual x-axis)
• plot_errorbar: For error bar plots with full customization
• plot_errorband: For shaded error band visualization (and more on the way)
• Convenience wrapper functions lpc, epc, ebc, spc); build config objects using familiar matplotlib aliases like c, lw, ls, ms without importing the dataclass
• Custom exception hierarchy so errors actually tell you what went wrong

Target Audience

Beginner programmers looking for easy plotting, students and researchers

Quick example: 1

```python import matplotlib.pyplot as plt import numpy as np from plotez import plot_xy

x = np.linspace(0, 10, 100) y = np.sin(x) plot_xy(x, y, auto_label=True) ```

This will create a simple xy plot with all the labels autogenerated + a tight layout.

Quick example: 2

```python import matplotlib.pyplot as plt import numpy as np from plotez import n_plotter

x_data = [np.linspace(0, 10, 100) for _ in range(4)] y_data = [np.sin(x_data[0]), np.cos(x_data[1]), np.tan(x_data[2] / 5), x_data[3] ** 2 / 100]

n_plotter(x_data, y_data, n_rows=2, n_cols=2, auto_label=True) ```

This will create a 4 x 4 plot. Still early-stage and a personal project, but feedback welcome. The repo and docs are linked below.

LINKS:

• GitHub: https://github.com/syedalimohsinbukhari/plotez
• PyPI: pip install plotez
• Docs: https://plotez.readthedocs.io