Describe the bug

I have a df with more than 50 columns
I show it with mo.ui.table
I filter manual on one column

I select one row
I want to use the selected record with table.value in the next marimo cell.
BUG: The table.value is wrong. It has the data from a different row: Bob instead of Charlie (see screenshot above)

Workaround: Truncate the df to 50 or less columns and the selection works. 😀
Quick fix: There is already a warning "Result clipped. Showing 50 of 51 columns." Extend this warning with the message that selction on filtered tables will not work. Will save people a lot of time figuring out why this is not working.
Or add this to the documentation (https://docs.marimo.io/guides/working_with_data/dataframes/#selecting-dataframes.)
Proper fix: ??? If you guide me a bit I can try to create a fix and PR

Will you submit a PR?

• Yes

Environment

# marimo env
{
  "marimo": "0.19.6",
  "editable": false,
  "location": "/usr/local/lib/python3.13/site-packages/marimo",
  "OS": "Linux",
  "OS Version": "6.6.87.2-microsoft-standard-WSL2",
  "Processor": "",
  "Python Version": "3.13.11",
  "Locale": "C",
  "Binaries": {
    "Browser": "--",
    "Node": "--"
  },
  "Dependencies": {
    "click": "8.3.1",
    "docutils": "0.22.4",
    "itsdangerous": "2.2.0",
    "jedi": "0.19.2",
    "markdown": "3.10.1",
    "narwhals": "2.15.0",
    "packaging": "25.0",
    "psutil": "7.2.1",
    "pygments": "2.19.2",
    "pymdown-extensions": "10.20.1",
    "pyyaml": "6.0.3",
    "starlette": "0.50.0",
    "tomlkit": "0.14.0",
    "typing-extensions": "4.15.0",
    "uvicorn": "0.40.0",
    "websockets": "16.0"
  },
  "Optional Dependencies": {
    "loro": "1.10.3",
    "pandas": "2.3.3",
    "pyarrow": "22.0.0"
  },
  "Experimental Flags": {}
}

Code to reproduce

import marimo

__generated_with = "0.19.6"
app = marimo.App(width="medium")

@app.cell
def _():
import marimo as mo
import pandas as pd
return mo, pd

@app.cell
def (pd):
# Cell 1 - create a dataframe with 51 columns
d2 = { f"K{i}": [1,2,3] for i, in enumerate(range(49))}
d = {"person": ["Alice", "Bob", "Charlie"],"age": [20, 30, 40]}
d.update(d2)
df = pd.DataFrame(d)

return (df,)

@app.cell
def _(df, mo):
#Manual Filter on age 30 or 40
table = mo.ui.table(df, selection="multi")
table
return (table,)

@app.cell
def _(table):
#Filter is not working
table.value
return

if name == "main":
app.run()