Agregasi dengan sum

Anda akan berurusan dengan fitur agregasi, agg_with_sum(). Seperti yang Anda ketahui, pd.DataFrame.groupby() mengembalikan himpunan data baru dengan mengagregasikan data awal menggunakan suatu fungsi, dalam hal ini .sum(). Hal pentingnya adalah Anda ingin memastikan bahwa fungsi tersebut bekerja dengan benar.

Anggaplah Anda tidak mengetahui apa pun tentang datanya, tetapi Anda tahu pasti bahwa agg_with_sum() mengembalikan pd.Series. Masuk akal juga untuk mengasumsikan bahwa pd.Series tidak akan kosong, dan akan berisi beberapa nilai numerik karena telah diproses dengan .sum().

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Pengantar Pengujian di Python

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Latihan ini adalah bagian dari kursus

Pengantar Pengujian di Python

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4.8+

Mulai Kursus Gratis

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: Pengujian unit dengan pytest Exercise 2: Istilah unit testing Exercise 3: Cakup lebih banyak kasus uji Exercise 4: Faktorial dari suatu bilangan Exercise 5: Jalankan factorial Exercise 6: Pengujian fitur dengan pytest Exercise 7: Pengujian fitur atau unit Exercise 8: Agregasi dengan sum

Latihan Saat Ini

Exercise 9: Pengujian integrasi dengan pytest Exercise 10: Uji integrasi atau bukan Exercise 11: Baca berkas Exercise 12: Pengujian kinerja dengan pytest Exercise 13: Apa itu pengujian kinerja?Exercise 14: Mencari sebuah elemen Exercise 15: Kecepatan loop

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!