Aggreren met sum

Je gaat werken met een aggregatiefunctie, agg_with_sum(). Zoals je weet geeft pd.DataFrame.groupby() een nieuwe gegevensset terug door de originele te aggregeren met een functie, in dit geval .sum(). Het belangrijkste is dat je wilt controleren of dit goed werkt.

Laten we aannemen dat je niets van de data weet, maar wel zeker weet dat agg_with_sum() een pd.Series retourneert. Het is ook redelijk om aan te nemen dat die pd.Series niet leeg is en numerieke waarden bevat, aangezien deze is verwerkt met .sum().

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Introductie tot testen in Python

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Introductie tot testen in Python

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Learn what a test is and how to run the first one of your own with the pytest library! You will get used to the pytest testing framework and the command-line interface. You will also learn how to process specific contexts, like "failed tests" and "skipping the test" with pytest markers.

Exercise 1: Introduction to Testing in Python Exercise 2: The first test suite Exercise 3: pytest.raises Exercise 4: Invoking pytest from CLI Exercise 5: Run the test!Exercise 6: Run with the keyword Exercise 7: Applying test markers Exercise 8: Markers use cases Exercise 9: Failed tests with xfail Exercise 10: Conditional skipping

Learn what a fixture is and how to simplify your code by using it in tests. You will get familiar with the fixture @pytest.fixture decorator and the fixture tools. You will analyze your code to see the "fixture part" in it. Finally, learn how to use teardowns to prevent software failures.

Exercise 1: Introduction to fixtures Exercise 2: Getting familiar with fixtures Exercise 3: Data preparation Exercise 4: Run with a fixture Exercise 5: Chain Fixtures Requests Exercise 6: Chain this out Exercise 7: List with a custom length Exercise 8: Fixtures autouse Exercise 9: autouse statements Exercise 10: Auto add numbers Exercise 11: Fixtures Teardowns Exercise 12: Data with teardown Exercise 13: Read data with teardown

Learn what the basic testing types are and their features. Learn about test cases and how they help to implement tests. You will get more skilled with creating test functions and running pytest from CLI in IDE exercises. Finally, you will be able to differentiate the different testing types and create tests for each of them.

Exercise 1: Unittests met pytest Exercise 2: Begrippen rond unittesten Exercise 3: Meer testgevallen afdekken Exercise 4: Faculteit van een getal Exercise 5: Draai factorial Exercise 6: Feature testing met pytest Exercise 7: Feature- of unit-testen Exercise 8: Aggreren met sum

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Exercise 9: Integratietests met pytest Exercise 10: Integratietest of niet Exercise 11: Lees het bestand Exercise 12: Prestatietesten met pytest Exercise 13: Wat is performance testing?Exercise 14: Een element vinden Exercise 15: Snelheid van lussen

In this final chapter, you will meet the unittest framework. First, you will learn basic assertion methods, then its CLI interface, and how to use fixtures. Finally, you will put everything together in the practical examples of data pipelines.

Exercise 1: Meeting the Unittest Exercise 2: Factorial with unittest Exercise 3: Is prime or not Exercise 4: CLI Interface Exercise 5: Run factorial with unittest Exercise 6: Erroneouos factorial Exercise 7: Unittest options Exercise 8: Fixtures in unittest Exercise 9: Test the string variable Exercise 10: Palindrome check Exercise 11: Practical examples Exercise 12: Integration and unit tests Exercise 13: Feature and performance tests Exercise 14: Energy pipeline Exercise 15: Congratulations!