Dataframe visualization looks bugged when trying to display more than two correlations

[f-fuchs]

When I try to display a DataFrame with more than two correlations I get the following output:

Am I doing something wrong or is this a bug?

[f-fuchs]

this also occurs when casting the DataFrame from polars to pandas first or wrapping it in mo.ui.table.

this is how it looks combined with a normal column

[f-fuchs]

if we look at the first picture for example. the dataframe has 3 columns but 4 headings, because the last one is duplicated. once without the green bar above the actual column and a second time right of the column with the green bar

[mscolnick]

If there is any reproduction you can share, we can maybe take a look

[f-fuchs]

# ruff: noqa

import marimo

__generated_with = "0.9.10"
app = marimo.App(width="full")


@app.cell
def __():
    import polars as pl
    return (pl,)


@app.cell
def __(pl):
    df = pl.scan_csv("hf://datasets/nameexhaustion/polars-docs/iris.csv").collect()
    return (df,)


@app.cell
def __(df):
    df
    return


@app.cell
def __(df):
    df.columns
    return


@app.cell
def __(df, pl):
    df.select(
        pl.corr("sepal_length", "sepal_width", method="spearman").alias(
            "corr(sepal_length,sepal_width)"
        ),
        pl.corr("sepal_length", "petal_length", method="spearman").alias(
            "corr(sepal_length,petal_length)"
        ),
        pl.corr("sepal_length", "petal_width", method="spearman").alias(
            "corr(sepal_length,petal_width)"
        ),
    )
    return


@app.cell
def __():
    return


if __name__ == "__main__":
    app.run()

above code results in following output for me:

as you can see I have three columns but 5 headers.

[mscolnick]

This might be fixed in the latest release (not sure what changed) - can you try the latest marimo?

[f-fuchs]

thx, its fixed in the latest release 👍