Metadata-Version: 2.4
Name: datavizlib
Version: 0.1.0
Summary: Opinionated matplotlib-based library for clean, presentation-ready charts and visual storytelling.
Author-email: Philipp Melzer <philipp.melzer@icloud.com>
License: MIT License
        
        Copyright (c) 2026 Philipp Melzer
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Repository, https://github.com/phmelzer/datavizlib
Keywords: data visualization,matplotlib,charting,plotting
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib>=3.8
Requires-Dist: pandas>=2.0
Dynamic: license-file

# 📊 datavizlib

Opinionated matplotlib-based Python tooling for building clean, consistent, presentation-ready charts.

## Installation

Install from PyPI:

```bash
pip install datavizlib
```

Or install locally for development:

```bash
pip install -e .
```

## Quick Start

```python
from datavizlib import LineChart

chart = LineChart(
    title="Monthly revenue",
    subtitle="Actual vs forecast",
    x_label="Month",
    y_label="Revenue"
)

chart.build()
chart.add_data(df, x="month", y="revenue", linestyle="solid")
chart.add_data(df, x="month", y="forecast", linestyle="dotted")
chart.render()
```

## Contributing

Contributions are welcome.

## License

`datavizlib` is released under the MIT License. See `LICENSE` for details.
