> For the complete documentation index, see [llms.txt](https://docs.augelab.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.augelab.com/function-blocks/blocks-reference/data-logic/data-operations/exclude-nones.md).

# Exclude Nones

This function block removes `None` entries from a provided list. Use it when you need a clean list without empty placeholders before further processing or exporting.

## 📥 Inputs <a href="#inputs" id="inputs"></a>

`Data List` — Input socket that accepts a list of values. Elements may be of any type and some may be `None`.

## 📤 Outputs <a href="#outputs" id="outputs"></a>

`Filtered Data List` — Output socket that returns the same list order but with all `None` elements removed.

## 🕹️ Controls <a href="#controls" id="controls"></a>

This block has no user-adjustable controls. It runs automatically when the input list is provided.

## 🎯 Features <a href="#features" id="features"></a>

* Simple and fast removal of `None` values while preserving original order.
* Works with mixed-type lists (numbers, strings, images, dictionaries, etc.).
* Useful to sanitize batch or list outputs before downstream processing or exporting.

## ⚙️ Running mechanism <a href="#evaluation" id="evaluation"></a>

On evaluation the block reads the value from the `Data List` input, filters out any elements that are `None`, and emits the cleaned list to `Filtered Data List`. If the input is empty or contains only `None` values, the output will be an empty list.

## 💡 Tips and Tricks <a href="#tips-and-tricks" id="tips-and-tricks"></a>

* Combine with `Replace None` when you prefer substituting default values instead of removing items.
* Use `Get Element` or `List Operations` after this block to safely access or manipulate list items without checking for `None`.
* Use `Is None` before this block to branch logic (for example, skip processing when many items are `None`).
* For batch workflows, pair with `Batch Processing`, `Debatch`, or `Batch Concatenation` to handle list/batch inputs and outputs cleanly.
* Store cleaned results with `Data Memory` if you need to freeze the filtered list until an update is requested.
* Prepare data for export by piping the output into `Data to JSON`, `CSV Export`, or `Image Logger` (when list contains images).
* Use `Debug Input` to inspect incoming lists if results look unexpected.

## 🛠️ Troubleshooting <a href="#troubleshooting" id="troubleshooting"></a>

* If the output still contains `None`, confirm that the value at `Data List` is truly a list and not a different data type.
* If nothing appears on the output, check upstream blocks with `Debug Input` to ensure they are producing the expected list.