[SPARK-45123][PS] Raise TypeError for DataFrame.interpolate when all columns are object-dtype.

[itholic]

What changes were proposed in this pull request?

This PR proposes to aise TypeError for DataFrame.interpolate when all columns are object-dtype.

Why are the changes needed?

To match the behavior of Pandas:

>>> pd.DataFrame({"A": ['a', 'b', 'c'], "B": ['a', 'b', 'c']}).interpolate()
...
TypeError: Cannot interpolate with all object-dtype columns in the DataFrame. Try setting at least one column to a numeric dtype.

We currently return empty DataFrame instead of raise TypeError:

>>> pd.DataFrame({"A": ['a', 'b', 'c'], "B": ['a', 'b', 'c']}).interpolate()
Empty DataFrame
Columns: []
Index: [0, 1, 2]

Does this PR introduce any user-facing change?

Compute DataFrame.interpolate on DataFrame that has all object-dtype columns will raise TypeError instead of returning an empty DataFrame.

How was this patch tested?

Added UT.

Was this patch authored or co-authored using generative AI tooling?

No.

[itholic]

cc @zhengruifeng

[zhengruifeng]

merged to master

[ueshin]

@itholic The JIRA iD in the title seems to be wrong?

[itholic]

Oops.. Updated. Thanks, @ueshin !