Schemas.in_common

Schemas.in_common() → JointSchema

Columns that are present in both data frames, mapped to their data types in the left and right data frame.

Examples

>>> import polars as pl
>>> from diffly import compare_frames
>>> left = pl.DataFrame({"id": [1], "value": [10.0]})
>>> right = pl.DataFrame({"id": [1], "value": [10.0]})
>>> compare_frames(left, right, primary_key="id").schemas.in_common()
{'id': (Int64, Int64), 'value': (Float64, Float64)}