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

# Description Text

> Write descriptions using markdown within a Python analysis cell.

<img src="https://mintcdn.com/latchbio/rZf7ybfryGn4thLo/images/plots/markdown-example.png?fit=max&auto=format&n=rZf7ybfryGn4thLo&q=85&s=3802e57fa08bc351a28b3f1893b7a9c0" className="w-full rounded" width="1418" height="616" data-path="images/plots/markdown-example.png" />

Within your transform code, you are able to render markdown text in the same flow as widgets using the `w_text_output` function.

````python theme={null}
from lplots.widgets.text import w_text_output

w_text_output(content=f"""
### Groups

𝚫𝚫Ct will be calculated in the following groups:
{group_bullets} \n

### Controls

We start by getting the average 𝚫Ct value of the control condition in every group. You can navigate to the ```control_table``` to see all the replicates that will be used as controls.

""")

````

### Text Output Parameters

`content`: *string* markdown text to display

`appearance`: *dict* containing widget appearance attributes:

> `message_box`: *string* specifying this wraps the code in a sematic container, allowed flavors are: "success" | "primary" | "info" | "warning" | "danger" | "neutral"