datatype="markdown" of gr.Dataframe is applied only up to the third column

[hysts]

Describe the bug

When setting datatype of gr.Dataframe with str, e.g. datatype="markdown", it seems to be applied to only the first three columns, and the rest seems to be set to str.
(One can work around this by setting it with list[str], like datatype=["markdown"] * 5, though.)

Have you searched existing issues? 🔎

• I have searched and found no existing issues

Reproduction

https://huggingface.co/spaces/hysts-debug/dataframe-datatype

import gradio as gr
import pandas as pd

x = ["[Hugging Face](https://huggingface.co/)", "[Gradio](https://www.gradio.app/)"]
df = pd.DataFrame(data={f"{i}": x for i in range(5)})

with gr.Blocks() as demo:
    gr.Dataframe(value=df, datatype="markdown")

if __name__ == "__main__":
    demo.queue().launch()

Screenshot

Logs

No response

System Info

Gradio Environment Information:
------------------------------
Operating System: Linux
gradio version: 3.50.2
gradio_client version: 0.6.1

------------------------------------------------
gradio dependencies in your environment:

aiofiles: 23.2.1
altair: 5.1.2
fastapi: 0.104.0
ffmpy: 0.3.1
gradio-client==0.6.1 is not installed.
httpx: 0.25.0
huggingface-hub: 0.18.0
importlib-resources: 6.1.0
jinja2: 3.1.2
markupsafe: 2.1.3
matplotlib: 3.8.0
numpy: 1.26.1
orjson: 3.9.9
packaging: 23.2
pandas: 2.1.1
pillow: 10.1.0
pydantic: 1.10.13
pydub: 0.25.1
python-multipart: 0.0.6
pyyaml: 6.0.1
requests: 2.31.0
semantic-version: 2.10.0
typing-extensions: 4.8.0
uvicorn: 0.23.2
websockets: 11.0.3
authlib; extra == 'oauth' is not installed.
itsdangerous; extra == 'oauth' is not installed.


gradio_client dependencies in your environment:

fsspec: 2023.6.0
httpx: 0.25.0
huggingface-hub: 0.18.0
packaging: 23.2
requests: 2.31.0
typing-extensions: 4.8.0
websockets: 11.0.3

Severity

I can work around it

[hysts]

This issue remains in gradio==4.0.2.

[fakerybakery]

+1, noticing this as well

[pngwn]

Weird that is it 3. Could be related to the default data being 3 columns? Might just be the frontend not reacting to changes.

[fakerybakery]

My code has >3 columns from the start, still noticing the problem, see #7052

[pngwn]

Just checked, its this: https://github.com/gradio-app/gradio/blob/main/gradio/components/dataframe.py#L113-L115

The backend converts the single value into a list based on the current col_count on initialisation, but that doesn't necessarily mean there will only be that many columns. It also won't update if the table is updated to another set of dimensions, or even if the col count is explicitly changed in a user fn.

The frontend already has logic to handle a single value being passed or a list of values, so the backend should just leave this as it is. The logic linked above should just be removed and the param value set and the instance value.