[ Process JSON using Pandas¶ Let us understand how to process JSON using Pandas. We can use read_json to read JSON documents from file into a Data Frame. It works well with customers.json where we have one valid JSON document per line. In [1]: import pandas as pd In [2]: pd.read_json? Signature: pd.read_json( path_or_buf=None, orient=None, typ=’frame’, dtype: …
[ Multiple JSON Documents in files¶ At times we might have multiple JSON documents in a text file. Typically, we will have one valid JSON per line. Let us understand the process of reading a file where there are multiple JSON documents one per line. If you use pandas, it is straight forward. However, we …
[ Single JSON Document in Files¶ Let us understand how to process single JSON in Files. We can leverage json or pandas modules for the same. For now, we will focus on json module. Here are the files used for the demo. single_document.json youtube_playlist_items.json – This is an example for REST API calls which return …
[ Process JSON String¶ Let us understand how to process JSON strings using Python as programming language. Later we will see different ways of storing JSON data in files. We will see following examples of processing JSON strings. Single JSON document. Multiple JSON documents, with one JSON per line. Multiple JSON documents as an Array …
[ Create JSON String¶ Let us understand how to define JSON strings with in programs itself. Later we will see different ways of storing JSON data in files. We will see following examples of JSON strings. Single JSON document. Multiple JSON documents, with one JSON per line. Multiple JSON documents as an Array under one …
[ JSON Data Types¶ Let us understand the data types that are used while representing objects in the form of JSON. Here are the basic data types of JSON. Number String Boolean Array (Similar to Python list) Object (Nested JSON) null (empty value) Here is an example for JSON representation of a Person object. { …
