Metadata-Version: 2.3
Name: chromospyce
Version: 0.1.2
Requires-Python: >=3.8
Requires-Dist: anywidget>=0.9.13
Requires-Dist: numpy>=1.24.4
Requires-Dist: pandas>=2.0.3
Requires-Dist: pyarrow>=17.0.0
Description-Content-Type: text/markdown

# chromospyce

This is an [anywidget](https://github.com/manzt/anywidget)-powered version of
the [chromospace](https://github.com/dvdkouril/chromospace) library intended
for use in computational notebooks, such as Jupyter Notebook.

![colorful squiggly thick line depicting 3D chromatin running in jupyter notebook](./spyce-teaser.gif)

## Basic usage
The available functionality is pretty limited at this moment. We will stabilize the API as we go. At this point, you can display 3D chromatin models.

```python
import chromospyce
import numpy as np

BINS_NUM = 1000

# Step 1: Generate random structure, returns a 2D numpy array:
def make_random_3D_chromatin_structure(n):
    position = np.array([0.0, 0.0, 0.0])
    positions = [position.copy()]
    for _ in range(n):
        step = np.random.choice([-1.0, 0.0, 1.0], size=3)  # Randomly choose to move left, right, up, down, forward, or backward
        position += step
        positions.append(position.copy())
    return np.array(positions)

random_structure = make_random_3D_chromatin_structure(BINS_NUM)

# Step 2: Display the structure in a chromospyce widget
numbers = list(range(0, BINS_NUM+1))
vc = {
    "color": {
        "values": numbers,
        "min": 0,
        "max": BINS_NUM,
        "colorScale": "Spectral"
    }, 
    "scale": 0.01, 
    "links": True, 
    "mark": "sphere"
}
chromospyce.Widget(random_structure, vc)
```

The underlying JS library, **chromospace**, [only supports data in the Apache
Arrow
format](https://github.com/dvdkouril/chromospace/tree/main/docs#data-loading).

In **chromospyce**, on the other hand, you can also visualize structures
defined as 2D numpy arrays, or pandas dataframe (with columns named `'x'`,
`'y'`, `'z'`.

Quickly test out **chromospyce** with [uv](https://docs.astral.sh/uv/):
1. `uv run --with chromospyce --with numpy --with pyarrow --with jupyterlab
   jupyter lab`
2. make a new notebook
3. copy and paste the code above into an empty cell

Or: [run the example in Google
Colab](https://colab.research.google.com/drive/1EZh9HcGS3cgPF4C6eFyMm5iHGVGS4Cj_?usp=sharing).
