python pandas json normalize

the json_normalize function in the python pandas library is a powerful tool for flattening json data into a tabular format, making it easier to work with in data analysis and manipulation tasks. this tutorial will guide you through the process of using json_normalize with practical examples.
make sure you have python and pandas installed on your system. if not, you can install pandas using:
the json_normalize function is part of the pandas library and is designed to flatten nested json structures into a flat table. it is particularly useful when dealing with json data that contains nested or hierarchical structures.
consider the following nested json data:
let's use json_normalize to flatten this json data:
output:
in this tutorial, you've learned how to use the json_normalize function in pandas to flatten nested json data into a structured tabular format. this can be immensely helpful when working with json data in data analysis and manipulation tasks. experiment with different json structures and explore the various options provided by json_normalize to suit your specific needs.
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