Enable Dataframe to be converted into views which can be used in register_table

[kosiew]

Which issue does this PR close?

Closes #1004.

Rationale for this change

Currently, Datafusion supports views via ViewTable, allowing logical plans to be registered as tables. However, this feature is not exposed in the Python bindings. This PR addresses that gap by enabling Dataframes to be converted to view, enabling users to create views programmatically without relying on raw SQL strings.

What changes are included in this PR?

Adds DataFrame.into_view which can then be used in
register_table.

Are there any user-facing changes?

Yes, Python users will now be able to convert dataframes into view, then register_table with the view.

[kosiew]

This is modelled after how into_view is used in datafusion:

async fn with_column_renamed_ambiguous() -> Result<()> {
    let df = test_table().await?.select_columns(&["c1", "c2", "c3"])?;
    let ctx = SessionContext::new();

    let table = df.into_view();
    ctx.register_table("t1", table.clone())?;
    ctx.register_table("t2", table)?;