How to add a column to a polars DataFrame using .with_columns()

Question

I am currently creating a new column in a polars data frame using

predictions = [10, 20, 30, 40, 50]
df['predictions'] = predictions

where predictions is a numpy array or list containing values I computed with another tool.

However, polars throws a warning, that this option will be deprecated. How can the same result be achieved using .with_columns()?

Answer 1

The values in the numpy array or list predictions can be add to a polars table using:

predictions = [10, 20, 30, 40, 50]
df.with_columns(pl.Series(name="predictions", values=predictions))