Using built-in display method modules

holunder42 · ‎03-02-2026

The builtin `display` function is very helpful. but we're moving code from notebooks into python modules.

Here, it seems that `display` is defined differently which results in poor visualization.

Example:

```

df = spark.createDataFrame([{'x': 1}])

display(df)

```

--> nice visual

But when I move the display-code to a module:

def df_show(df😞

display(df)

And using it by

from foo import df_show

df_show(df)

it only shows the __repr__ ouput.

My target picture:

- have a wrapper version for all calls of `display` which:

* refers to builtin-display when running in databricks

* refers to a custom print when running in python environment outside of databricks

Thanks for your support