I am hoping someone can help me optimize the following Python/Pandas code. My code works, but I know there must be a cleaner and faster way to perform the operation under consideration. I am looking for an optimized strategy because my use case will involve 16 unique ADC Types, as opposed to 4 in the example below. Also, my initial
Tag: group
How to group a json by a nested key using Python?
Lets say we have a json object in Python: What is the most efficient way to group this data by city, so that we end up with a json in which we group the data by city such that we end up with a json as: … in which the content of the people are included in “people” key. Thanks!