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
Port | Data Type | Description |
---|---|---|
0 |
DataFrame |
The first DataFrame . |
1 |
DataFrame |
The second DataFrame . |
Port | Data Type | Description |
---|---|---|
0 |
DataFrame |
Union of the input DataFrames . |
city | beds | price |
---|---|---|
CityB | 3.0 | 430784.0 |
CityB | 2.0 | 336677.0 |
CityA | 3.0 | 584639.0 |
CityA | 4.0 | 579560.0 |
city | beds | price |
---|---|---|
CityA | 4.0 | 695611.0 |
CityC | 2.0 | 294691.0 |
city | beds | price |
---|---|---|
CityB | 3.0 | 430784.0 |
CityB | 2.0 | 336677.0 |
CityA | 3.0 | 584639.0 |
CityA | 4.0 | 579560.0 |
CityA | 4.0 | 695611.0 |
CityC | 2.0 | 294691.0 |