Metadata-Version: 2.4
Name: ts-viz
Version: 0.1.2
Summary: Visualization utilities for time series analysis including outlier detection, trendlines, and correlation analysis.
Author: Your Name
Author-email: Chitra Kumar Sai <chitrakumarsai@gmail.com>
License: MIT
Keywords: time-series,visualization,outliers,matplotlib,seaborn
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy<1.26.0,>=1.21.0
Requires-Dist: pandas<=2.1.4
Requires-Dist: matplotlib>=3.10.3
Requires-Dist: seaborn>=0.13.2
Requires-Dist: datetime>=5.5
Requires-Dist: build>=1.2.2.post1
Dynamic: author
Dynamic: license-file
Dynamic: requires-python

# ts-viz

**ts-viz** is a Python package for **visualizing and analyzing time series data**, with a focus on:
- Outlier detection
- Histogram overlays
- Time series trend analysis
- Feature correlation plots

Built using `pandas`, `matplotlib`, and `seaborn`.

## 🚀 Features

- Plot histograms with mean and ±3σ lines
- Identify and visualize outliers by month
- Line plots over time with rolling averages and custom highlights
- Correlation scatter plots with outlier/trendline detection

## 📦 Installation

```bash
pip install ts-viz
