Metadata-Version: 2.4
Name: plot_reward_vs_steps
Version: 0.1.1
Summary: Simple RL reward plotting utility
Author-email: Shreeya Dutta <shreeya.dutta08@nmims.in>
License: MIT
Keywords: reinforcement-learning,plot,rewards,matplotlib,bandit
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib
Dynamic: license-file

# plotrs

A **lightweight plotting utility** for visualizing rewards vs steps in Reinforcement Learning (RL), Multi-Armed Bandits (MAB), and other iterative training algorithms.

`plotrs` provides a single, easy-to-use function `plot_reward_vs_steps()` that plots rewards over time and can optionally smooth the curve using a moving average.

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## ✨ Features
- 📈 **Simple, one-line plotting**
- 🎯 Perfect for **RL** or **MAB** experiments
- 🔍 Optional **moving average smoothing**
- 🖼 Clean **Matplotlib** visualization
- ⚡ Zero boilerplate — just call and plot

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## 📦 Installation
```bash
pip install plotrs
