Metadata-Version: 2.1
Name: seadog
Version: 0.1.2
Summary: Statistical data visualization from the command line
Home-page: https://github.com/leonhfr/seadog
Author: leonhfr
Author-email: hello@leonh.fr
Requires-Python: >=3.7,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Dist: click (>=7.0,<8.0)
Requires-Dist: matplotlib (>=3.1.2,<4.0.0)
Requires-Dist: numpy (>=1.18.0,<2.0.0)
Requires-Dist: pandas (>=0.25.3,<0.26.0)
Requires-Dist: seaborn (>=0.9.0,<0.10.0)
Requires-Dist: tabulate (>=0.8.6,<0.9.0)
Requires-Dist: termplotlib (>=0.2.3,<0.3.0)
Project-URL: Documentation, https://github.com/leonhfr/seadog
Project-URL: Repository, https://github.com/leonhfr/seadog
Description-Content-Type: text/markdown

# seadog

Seadog helps you generate statistical data visualizations directly from the command line. 

It aims to allow quick analyses of data, and while it is essentially a wrapper for [matplotlib](https://github.com/matplotlib/matplotlib) and [seaborn](https://github.com/mwaskom/seaborn), it does not intend to cover all options and capabilities. 

The word seadog may be slang for either a veteran sailor or seals. 

Supports Python 3.7+.

## Installation

Using `pip` to install `seadog`:

```bash
pip install --user seadog
```

## Quick start

This section will be updated once `seadog` provides some functionality. Features will be added as I need them.

## Todo

- Data description
- Data sample (n)
- Data correlation
- Data NaN detection (graph in terminal)
- Data NaN removal
- Bar chart (and horizontal option)
- Histogram
- Dist plot with KDE
- Logarithmic scales for x and y
- Axes labels
- Scatter plots
- Pie charts?


