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v0.2.0

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@pavelkrusek pavelkrusek released this 26 Oct 17:14
· 16 commits to main since this release

Added

Data Cleaning Functionality: Introduced the clean_calendar_data function to clean and validate scraped data. This ensures data quality and consistency, making the data ready for further processing and analysis.

Changed

API Update: The scrape_calendar function now always returns a ScrapeResult object instead of a pd.DataFrame. This change provides a consistent data structure for both basic and extended data, simplifying data handling.
Simplified API Structure:
Removed the scrape_calendar_raw function. Users should now use scrape_calendar for scraping raw data.
Introduced a clear separation between scraping and cleaning stages. Users can first scrape data using scrape_calendar and then clean it using clean_calendar_data.

Fixed

Documentation Updates: Revised the README to reflect the new API changes and the addition of data cleaning functionality.
Unit Tests Adjustment: Updated and fixed unit tests to accommodate the changes in return types and the introduction of the data cleaning functions, ensuring test coverage and reliability.