newdata = "median" causes problems with both hp and gear if they are not casted with
mtcars = mtcars.cast({"gear" : pl.Utf8, "hp" : pl.Float64}).
the problem with hp is that it's type is detected as integer by datagrid. Note that the problem occurs with
datagrid(model=mod, FUN_numeric=lambda x: x.median())
but not with
datagrid(newdata=mtcars, FUN_numeric=lambda x: x.median()).
I would have liked to specify that gear is categorical in the formula with
smf.ols("mpg ~ hp + C(gear)", data = mtcars.to_pandas()).fit()
but this also causes problems with datagrid. I think because it gets its columns from the original data and not from the formula.
vincentarelbundock
commented
5 months ago