Metadata-Version: 2.1
Name: ChartSmith
Version: 0.1.0
Summary: A package for creating well-formatted, well-labeled visualizations
Home-page: https://github.com/tullyoleary/ChartSmith
Author: Tully OLeary
Author-email: tullyro@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: matplotlib>=3.0.0
Requires-Dist: seaborn>=0.11.0

# ChartSmith

ChartSmith is a Python package built on top of Matplotlib and Seaborn that creates well-formatted, well-labeled visualizations.

## Installation

```sh
pip install ChartSmith
```

## Usage

Here's how you can use the Visualizer package:

```python
from ChartSmith import ChartSmith

# Create an instance of the ChartSmith class
viz = ChartSmith()

# Line plot
viz.line_plot(x=[1, 2, 3, 4], y=[10, 20, 25, 30], title='Line Plot', xlabel='X Axis', ylabel='Y Axis')

# Bar plot
viz.bar_plot(x=['A', 'B', 'C', 'D'], y=[10, 20, 25, 30], title='Bar Plot', xlabel='Categories', ylabel='Values')

# Scatter plot
viz.scatter_plot(x=[1, 2, 3, 4], y=[10, 20, 25, 30], title='Scatter Plot', xlabel='X Axis', ylabel='Y Axis')
```

## License
This project is licensed under the MIT License - see the LICENSE.txt file for details.
