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.
Latihan ini merupakan bagian dari kursus
Scaling and Optimizing Data Pipelines with Polars
Instruksi latihan
- Compare
actualagainstproposed_expectedand store the boolean result inmatches.
Latihan interaktif langsung praktik
Cobalah latihan ini dengan melengkapi kode contoh ini.
# Compare actual against the proposed expected
matches = actual.____(proposed_expected)
print(matches)