---
title: "Rename Transform"
slug: "rename-transform"
updated: 2023-10-25T10:55:10Z
published: 2023-10-25T10:55:10Z
canonical: "docs.sightmachine.com/rename-transform"
---

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

# Rename Transform

The rename transform renames a data field. Since the data is in the form of a Pandas DataFrame, this function renames a list of columns. If a renamed column has the same name as another column that already exists, then the existing column will be overwritten.

**Example:**

If we want to rename a column from Seattle Supersonics to Oklahoma City Thunder, our configuration will look something like this:

```actionscript
{
    "transform_name": "Moving cities",
    "transform_type": "rename",
    "renames": [
        {
            "from": "Seattle Supersonics",
            "to": "Oklahoma City Thunder"
        }
    ]
}
```

**Configuration:**

**Required** and *optional* properties that can be configured for a rename transform.

- **renames**: A list of columns that should be renamed
  - **from**: The original column name
  - **to**: The new column name
- **transform_name**: Unique name for the transform.
- **transform_type**: Type of transform to apply. Should be rename.
- **filter_stream**: List of data streams to transform. Each stream can either be * (all) or asset:stream.

**Note:**

Renames are evaluated in order, so renaming multiple columns to the same name will drop all except the last. Any missing ‘from’ columns will be ignored.