From the course: Testing Python Data Science Code

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Challenge: Testing numerical code

Challenge: Testing numerical code - Python Tutorial

From the course: Testing Python Data Science Code

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Challenge: Testing numerical code

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(upbeat electronic music) - [Instructor] In this challenge, you have some metric data in a JSON line file, meaning every line in the file is a JSON object. We have the time, the metric, which is going to be memory or CPU, and the value. And you have the code for loading the metrics. Using pandas with JSON with the JSON file, says the orientation is for records. The lines are true meaning it's one JSON object per line and we tell pandas to convert the dates in the time field because JSON does not have a time data type. And for testing, here is a main where we have from pathlib import path. We get the absolute path to the file and we load it. What I'd like you to do is write a Pandera schema for the metrics and add a check output decorator to load metrics.

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