327-pandas-unittest

What problem does it solve?

Prevents fragile or incorrect unit tests for pandas data transformations by enforcing reliable equality checks, schema assertions, and safe isolation of I/O.

Core Features & Use Cases

• Deterministic pandas assertions: Requires using pandas testing utilities like assert_frame_equal, assert_series_equal, and assert_index_equal to validate values, dtypes, and indices accurately.
• ETL-focused test structure: Enforces separation of pure transformations from external I/O so tests run quickly and consistently.
• Edge-case and safety coverage: Guides test authors to validate missing data, empty inputs, boundary conditions, MultiIndex/index integrity, and idempotency, while mocking file/network access.

Quick Start

Apply Skill 327-pandas-unittest to your pytest suite and rewrite your pandas checks to use pandas.testing assertions with mocked I/O and small synthetic DataFrames.