# 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
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