Get the synthetic rows that copy a seed row.
SyntheticCheck.get_copies()
Returns
DataFrame-
A Polars DataFrame (or a pandas one, if Polars isn’t installed) with a row for each synthetic row that copies a seed row: the row numbers in each table (from 1), the kind of copy (
"exact", or "near" for a row whose text is the same or nearly the same), and the values of the columns that were compared (from the synthetic data).
Examples
import pointblank as pb
import polars as pl
seed = pl.DataFrame({"name": ["Ana", "Ben", "Cleo"], "age": [34, 51, 27]})
synthetic = pl.DataFrame({"name": ["Dan", "Ben", "Eve"], "age": [40, 51, 27]})
pb.check_synthetic(synthetic, seed).get_copies()
shape: (1, 5)| seed_row | synthetic_row | copy | name | age |
|---|
| i64 | i64 | str | str | i64 |
| 2 | 2 | "exact" | "Ben" | 51 |
The second synthetic row is the same as the second seed row. The third has the age of the third seed row but another name, so it isn’t a copy.