The number of test units that passed.
Comparison.n_passed: int
A test unit passes if its status is "match", which means the row is in both tables with the same values in every compared column (within any tolerance set in compare()). If the schema check failed (see schema_ok), no test unit passes and n_passed is 0, whatever the row statuses are.
n_passed and n_failed are the counts that Validate.tbl_match() uses for its test units, so they work with the same thresholds and fractions as any other validation step.
Two of these four stations have the same reading in both tables.
import pointblank as pb
import polars as pl
readings_v1 = pl.DataFrame(
{"station": ["S1", "S2", "S3", "S4"], "temp": [12.1, 14.0, 9.8, 11.2]}
)
readings_v2 = pl.DataFrame(
{"station": ["S1", "S2", "S3", "S4"], "temp": [12.1, 14.3, 9.8, 11.5]}
)
comparison = pb.compare(readings_v1, readings_v2, keys="station")
comparison.n_passed, comparison.n_passed / comparison.n(2, 0.5)Half of the test units passed. The two changed rows are available with rows("changed").