![]() As pointed out by coder, you json.dumps () can sort the keys by specifying the sortkeysTrue. This method is primarily used when you want to iterate through a dictionary. You could use json.dumps (): import json for row in r.db (.).run (conn): print (json.dumps (row, indent4)) Although this does not display the keys in sorted order, as appears to be the case in the example, it might be sufficient for your needs. If you have a dictionary with more than a few items you need to be able to read, the json.dumps() function takes an indent argument that automatically formats things legibly for you: import json. The iterable object has key-value pairs for the dictionary, as tuples in a list. The pprint module provides a pprint () function that can be used to pretty-print complex data structures in Python, including dictionaries of lists. When called, this method returns an iterable object. Note: This is useful because modifications made to the copied dictionary won't affect the original one. In the following subsections, we'll take a look at some other methods you can use alongside dictionaries in Python. Other Common Dictionary Methods in Pythonīesides methods we've covered so far, Python provides us with a lot of other interesting methods that help us perform operations other than the basic ones described before. Also, you will learn to convert JSON to dict and pretty print it. First of all, we need to understand how to create an empty dictionary: example_dict = you will learn to parse, read and write JSON in Python with the help of examples. Now that we understand what dictionaries are, let's see how to use them in Python. Additionally, you can't assign multiple values to the same key, though, you can assign a list of values (as a single value). Note: The values can belong to any data type and they can repeat, but the keys must remain unique.
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