> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pixeltable.com/llms.txt
> Use this file to discover all available pages before exploring further.

# array

> <a href="https://github.com/pixeltable/pixeltable/blob/main/pixeltable/functions/array.py#L0" id="viewSource" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/View%20Source%20on%20Github-blue?logo=github&labelColor=gray" alt="View Source on GitHub" style={{ display: 'inline', margin: '0px' }} noZoom /></a>

# <span style={{ 'color': 'gray' }}>module</span>  pixeltable.functions.array

Pixeltable UDFs for `ArrayType`.

Example:

```python theme={"theme":{"light":"light-plus","dark":"dark-plus"}}
import pixeltable as pxt

t = pxt.get_table(...)
t.select(t.array_col.to_list()).collect()
```

## <span style={{ 'color': 'gray' }}>udf</span>  to\_list()

```python Signature theme={"theme":{"light":"light-plus","dark":"dark-plus"}}
@pxt.udf
to_list(self: pxt.Array) -> pxt.Json
```

Convert an array to a nested Python list.

Equivalent to numpy's [`ndarray.tolist()`](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.tolist.html).
Useful for exporting to systems that lack a fixed-shape tensor type (e.g. Iceberg).

**Examples:**

```python theme={"theme":{"light":"light-plus","dark":"dark-plus"}}
t.select(t.array_col.to_list()).collect()
```