Metadata-Version: 2.2
Name: quickly-plot
Version: 0.1.0
Summary: A fluent interface for matplotlib plotting
Home-page: https://github.com/alexthe2/quickly
Author: Alexander Procelewski
Author-email: alexprocelewski@gmail.com
Project-URL: Bug Reports, https://github.com/alexthe2/quickly/issues
Project-URL: Source, https://github.com/alexthe2/quickly
Project-URL: Documentation, https://quickly.readthedocs.io/
Keywords: matplotlib,plotting,data visualization,builder pattern,fluent interface
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: matplotlib>=3.4.0
Requires-Dist: seaborn>=0.11.0
Requires-Dist: pandas>=1.2.0
Requires-Dist: numpy>=1.19.0
Requires-Dist: scipy>=1.6.0
Provides-Extra: dev
Requires-Dist: pytest>=6.0.0; extra == "dev"
Requires-Dist: pytest-cov>=2.12.0; extra == "dev"
Requires-Dist: black>=21.0.0; extra == "dev"
Requires-Dist: isort>=5.9.0; extra == "dev"
Requires-Dist: flake8>=3.9.0; extra == "dev"
Requires-Dist: mypy>=0.900; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: project-url
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# Quickly 📊

A fluent interface for matplotlib that makes plotting as simple as writing a sentence.

## Installation

```bash
pip install quickly-plot
```

## Usage

```python
from quickly import Quickly
import pandas as pd

# Create sample data
df = pd.DataFrame({
    'age': range(20, 60),
    'income': range(30000, 70000, 1000)
})

# Create different types of plots
Quickly.using(df).x("age").y("income").line.plt()
Quickly.using(df).x("age").y("income").scatter.plt()
Quickly.using(df).x("age").y("income").bar.plt()

# Add customization
Quickly.using(df) \
    .x("age") \
    .y("income") \
    .scatter \
    .color("blue") \
    .title("Age vs Income") \
    .plt()

# Plot with confidence intervals
Quickly.using(df) \
    .x("age", conf=0.95) \
    .y("income") \
    .line \
    .plt()
```

## Features

- Fluent interface with method chaining
- Multiple plot types (line, scatter, bar, histogram, box, violin)
- Built-in confidence intervals
- Easy customization (colors, styles, titles)
- Seaborn integration

## License

MIT License
