Comparing DataFrames with equals
Time to make the team's pipeline testable. The function digital_format_totals() aggregates digital checkouts by format. To verify it, the team built a tiny TEST_INPUT and a proposed_expected DataFrame they think the function should produce. Now you need a quick check to see whether the two DataFrames match.
The DataFrames actual (from running the function) and proposed_expected are preloaded and printed for you so you can compare them by eye too.
This exercise is part of the course
Scaling and Optimizing Data Pipelines with Polars
Exercise instructions
- Compare
actualagainstproposed_expectedand store the boolean result inmatches.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Compare actual against the proposed expected
matches = actual.____(proposed_expected)
print(matches)