Metadata-Version: 2.4
Name: mpl-richtext
Version: 0.2.0
Summary: Rich text rendering for Matplotlib with multi-color and multi-style support
Home-page: https://github.com/ra8in/mpl-richtext
Author: Rabin Katel
Author-email: Rabin Katel <kattelrabinraja13@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/ra8in/mpl-richtext
Project-URL: Documentation, https://github.com/ra8in/mpl-richtext#readme
Project-URL: Repository, https://github.com/ra8in/mpl-richtext
Project-URL: Bug Tracker, https://github.com/ra8in/mpl-richtext/issues
Keywords: matplotlib,text,color,rich-text,multi-color,visualization,plotting
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib>=3.5.0
Requires-Dist: uharfbuzz>=0.30.0
Requires-Dist: fonttools>=4.34.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0; extra == "dev"
Requires-Dist: black>=22.0; extra == "dev"
Requires-Dist: flake8>=5.0; extra == "dev"
Requires-Dist: mypy>=0.990; extra == "dev"
Dynamic: author
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# mpl-richtext

**Rich text rendering for Matplotlib** - Create beautiful multi-color, multi-style text in a single line.

[![PyPI version](https://img.shields.io/pypi/v/mpl-richtext.svg)](https://pypi.org/project/mpl-richtext/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)

## Why mpl-richtext?

Standard Matplotlib only supports single-color text. To create multi-colored text, you need to manually position each piece and calculate spacing - tedious and error-prone!

**mpl-richtext** solves this by letting you specify colors and styles for each text segment in one simple function call.


![mpl-richtext Showcase](https://raw.githubusercontent.com/ra8in/mpl-richtext/master/examples/mpl_richtext_examples.png)

## Installation

```bash
pip install mpl-richtext
```

## Quick Start

```python
import matplotlib.pyplot as plt
from mpl_richtext import richtext

fig, ax = plt.subplots()

# Create multi-colored text in one line!
richtext(0.5, 0.5, 
         strings=["hello", ", ", "world"],
         colors=["red", "blue", "green"],
         ax=ax, fontsize=20, transform=ax.transAxes)

plt.show()
```



## Features

✨ **Multi-color text** - Different colors for each word or character  
🎨 **Multi-style text** - Mix font sizes, weights, families, and styles (italic/oblique)  
🚀 **Index-based styling** - Cleaner API with property aliases (NEW in v0.2.0)  
🇳🇵 **Nepali/Devanagari support** - Native complex script rendering with HarfBuzz  
📦 **Flexible input** - Lists, dicts, or tuples for colors and properties  
📏 **Auto word-wrapping** - Specify `box_width` for automatic text wrapping  
🎯 **Full alignment** - Left, center, right horizontal and vertical alignment  
✨ **Decorations** - Support for **underlines** and **background colors**  
🔄 **Transformations** - Support for text **rotation**  
👻 **Transparency** - Support for **alpha** values per segment  
⚡ **Easy to use** - Simple API, works with any Matplotlib axes




## API Reference

### `richtext(x, y, strings, colors=None, ax=None, **kwargs)`

**Parameters:**

- **x, y** : `float`  
  Starting position of the text

- **strings** : `list of str`  
  List of text segments, e.g., `["hello", ", ", "world"]`

- **colors** : `str`, `list`, or `dict`, optional  
  Colors for each segment. Can be:
  - Single string: `"red"` (applies to all)
  - List: `["red", "blue", "green"]` (one per segment)
  - Dict: `{0: "red", 2: "green"}` (specific indices)
  - Tuple keys: `{(0, 2): "red"}` (multiple indices same color)

- **ax** : `matplotlib.axes.Axes`, optional  
  Axes to draw on. If `None`, uses current axes.

- **kwargs** : Additional properties  
  - **Global:** `box_width`, `linespacing`, `ha`, `va`, `transform`, `zorder`
  - **Per-segment:** `fontsize`/`fontsizes`, `fontweight`/`fontweights`, `fontfamily`/`fontfamilies`, etc.
  - Any property can be:
    - Single value (applies to all)
    - List (one per segment, auto-extends)
    - Dict (specific indices)

**Returns:**
- `list of Text` - List of created matplotlib Text objects

---

## ✨ Index-Based Styling API (New in v0.2.0)

For complex multi-style text, use the **styles parameter** for cleaner, more readable code:

### Old API (Still Works)
```python
richtext(x, y, ["Company", " (Category)"],
         colors={0: 'blue', 1: 'gray'},
         fontsizes={0: 14, 1: 10},
         fontweights={0: 'bold', 1: 'normal'})
```

### New API (Cleaner)
```python
richtext(x, y, ["Company", " (Category)"],
         {0: {'color': 'blue', 'size': 14, 'weight': 'bold'},
          1: {'color': 'gray', 'size': 10, 'weight': 'normal'}})
```

### Property Aliases

Use friendly short names instead of full matplotlib property names:

| Alias | Full Name | Example |
|-------|-----------|---------|
| `size` | `fontsize` | `{'size': 20}` |
| `weight` | `fontweight` | `{'weight': 'bold'}` |
| `family` | `fontfamily` | `{'family': 'monospace'}` |
| `style` | `fontstyle` | `{'style': 'italic'}` |

### Flexible Mixing

Combine global defaults, property dicts, and styles dict for maximum flexibility:

```python
richtext(x, y, ["A", "B", "C", "D"],
         fontsize=10,                           # Global default
         colors={1: 'orange'},                  # Target specific segment
         styles={2: {'color': 'purple', 'size': 18, 'weight': 'bold'}},
         ax=ax)
```

**Priority Order:** `styles dict` > `individual kwargs` > `global defaults`

### Tuple Keys for Multiple Indices

Apply the same styles to multiple indices using tuple keys:

```python
richtext(x, y, ["A", "B", "C", "D", "E"],
         {(0, 2, 4): {'color': 'red', 'size': 20, 'weight': 'bold'},
          (1, 3): {'color': 'blue', 'size': 12}},
         ax=ax)

# Results: A, C, E are red/20/bold
#          B, D are blue/12
```

This is more concise than repeating the same styles:
```python
# Instead of this verbose version:
{0: {'color': 'red', 'size': 20},
 2: {'color': 'red', 'size': 20},
 4: {'color': 'red', 'size': 20}}

# Use this:
{(0, 2, 4): {'color': 'red', 'size': 20}}
```

### Usage Examples

**Title and Subtitle:**
```python
richtext(x, y,
         ["Main Title", " (Subtitle)"],
         {0: {'size': 14, 'weight': 'bold', 'color': '#2C4A6E'},
          1: {'size': 10, 'weight': 'normal', 'color': '#556B2F'}},
         ha='center', va='center', ax=ax)
```

**Syntax Highlighting:**
```python
richtext(x, y,
         ["def ", "function", "(", "arg", "):"],
         {0: {'color': '#C678DD', 'weight': 'bold'},
          1: {'color': '#61AFEF'},
          2: {'color': '#ABB2BF'},
          3: {'color': '#E06C75'},
          4: {'color': '#ABB2BF'}},
         fontsize=14, family='monospace', ax=ax)
```


---

## 🇳🇵 Nepali/Devanagari Support

**mpl-richtext** provides **native support for complex scripts** including Nepali, Hindi, Sanskrit, and other Devanagari-based languages through HarfBuzz text shaping.

### Why Special Support?

Devanagari script requires complex text shaping where:
- Characters combine and transform based on context
- Ligatures form automatically (e.g., क + ् + ष = क्ष)
- Vowel marks (matras) position correctly
- Rendering order differs from logical order

Standard matplotlib struggles with these complexities. **mpl-richtext automatically handles this!**

### Features

✅ **Automatic Detection** - Detects Devanagari characters and applies proper shaping  
✅ **Accurate Metrics** - Correct width and height measurements for layout  
✅ **Font Support** - Works with Noto Sans Devanagari, Devanagari fonts  
✅ **Zero Config** - Just use Nepali text, it works automatically!

### Usage

```python
import matplotlib.pyplot as plt
from mpl_richtext import richtext
import matplotlib.font_manager as fm

# Set up Nepali font
plt.rcParams['font.family'] = 'sans-serif'
plt.rcParams['font.sans-serif'] = ['Noto Sans Devanagari', 'DejaVu Sans']

fig, ax = plt.subplots()

# Create Nepali text with styling
richtext(0.5, 0.7,
         ["मुख्य शीर्षक", " (उपशीर्षक)"],
         {0: {'size': 14, 'weight': 'bold', 'color': '#2C4A6E'},
          1: {'size': 10, 'weight': 'normal', 'color': '#556B2F'}},
         ha='center', va='center', ax=ax)

plt.show()
```

### Mixed English-Nepali

```python
richtext(0.5, 0.5,
         ["Hello: ", "नमस्ते संसार ", "2082 माघ 24"],
         {0: {'size': 16, 'weight': 'bold', 'color': 'orange'},
          1: {'size': 14, 'weight': 'normal', 'color': 'blue'},
          2: {'size': 14, 'weight': 'bold', 'color': 'green'}},
         ax=ax)
```


### Font Setup for Nepali

**Install Noto Sans Devanagari:**
```bash
# Ubuntu/Debian
sudo apt-get install fonts-noto

# macOS
brew install --cask font-noto-sans-devanagari

# Windows
# Download from Google Fonts: https://fonts.google.com/noto/specimen/Noto+Sans+Devanagari
```

**Using Custom Fonts:**
```python
import matplotlib.font_manager as fm

# Load custom Nepali font
nepali_font = fm.FontProperties(fname='/path/to/NepaliFont.ttf')

richtext(x, y, ["नेपाली पाठ"], {},
         fontproperties=nepali_font,
         fontsize=16, ax=ax)
```

### Technical Details

- **Shaping Engine**: Uses uharfbuzz for OpenType shaping
- **Supported Scripts**: Devanagari (U+0900–U+097F), Devanagari Extended, Vedic Extensions
- **Automatic Fallback**: Falls back to native matplotlib if HarfBuzz unavailable
- **Performance**: Efficient caching and optimized rendering

---

## Contributing


Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (`git checkout -b feature/AmazingFeature`)
3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Links

- **PyPI:** https://pypi.org/project/mpl-richtext/
- **GitHub:** https://github.com/ra8in/mpl-richtext
- **Issues:** https://github.com/ra8in/mpl-richtext/issues

---

Made with ❤️ for the Matplotlib community
