Toplamla (sum) birleştir

Bir toplama özelliği olan agg_with_sum() ile uğraşacaksın. Bildiğin gibi, pd.DataFrame.groupby() başlangıç veri kümesini bir işleve göre (bu durumda .sum()) toplayarak yeni bir veri kümesi döndürür. Ancak burada önemli olan, bunun doğru çalıştığını doğrulamak istemen.

Veri hakkında hiçbir şey bilmediğini varsayalım, ama agg_with_sum() fonksiyonunun pd.Series döndürdüğünden eminsin. Ayrıca pd.Series'in boş olmayacağını ve .sum() ile işlendiği için bazı sayısal değerler içereceğini varsaymak da mantıklı.

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Python'da Teste Giriş

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Python'da Teste Giriş

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Kursa Ücretsiz Başlayın

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: pytest ile birim testi Exercise 2: Birim testi terimleri Exercise 3: Daha fazla test durumu kapsa Exercise 4: Bir sayının faktöriyeli Exercise 5: Faktöriyeli çalıştır Exercise 6: pytest ile özellik testi Exercise 7: Özellik testi mi, birim testi mi Exercise 8: Toplamla (sum) birleştir

Geçerli Egzersiz

Exercise 9: pytest ile entegrasyon testi Exercise 10: Entegrasyon testi mi değil mi Exercise 11: Dosyayı oku Exercise 12: pytest ile performans testi Exercise 13: Performans testi nedir?Exercise 14: Bir öğe bulma Exercise 15: Döngülerin hızı

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!