Union

Sums two input DataFrames together into a single DataFrame. This means that each row from each of the input DataFrames will end up in the resulting DataFrame.

There will be no deduplication effort, meaning that if there are two identical rows in the input DataFrames, both of them will be added to the output DataFrame.

The schemas of both input DataFrames have to be the same.

The order of rows from input DataFrames is not guaranteed to be preserved in the output DataFrame.

If schemas of the input DataFrames do not match, a SchemaMismatchException will be thrown.

Since: Seahorse 0.4.0

Input

Output

Example

Input

Input 0

Input 1

Output