Each course will earn you a downloadable course certificate. Our premium courses offer a superior user experience with small, easy-to-digest lessons, progress tracking, quizzes to test your knowledge, and practice sessions. You’re now ready to start experimenting! If you want to learn more, try these links: Note that we’re now using double quotes because we need to quote the name inside the filter expression. You can do so with a filter: > arch("persons.age", persons) In this tutorial we use requests to access the API via HTTP request. First we have to import the necessary packages. Itll make your life easier by giving the flavour of an ORM-like query on your. Now let’s start creating the query in Python: import requests. Suppose you want to filter the list, and only get the ages for people named ‘erik’. py-jsonq is a simple, elegant Python package to Query over any type of JSON Data. This JMESPath expression will get the job done: > import jmespath In the problem statement above, we wanted to extract all the age fields from the array of persons in the JSON document. Note This module’s encoders and decoders preserve input and output order by default. This module can thus also be used as a YAML serializer. We’ll fetch the first person from the array, and then get the first person’s age: > arch('persons', persons) The JSON produced by this module’s default settings (in particular, the default separators value) is also a subset of YAML 1.0 and 1.1. For example: doc will get you the nested value for age in a document that looks like this: As we’ve seen on the previous page, it’s easy to get a nested value from a Python dictionary using Python’s own JSON library.
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