pandas groupby to nested json
I often use pandas groupby to generate stacked tables. But then I often want to output the resulting nested relations to json. Is there any way to extract a nested json filed from the stacked table it produces?
I often use pandas groupby to generate stacked tables. But then I often want to output the resulting nested relations to json. Is there any way to extract a nested json filed from the stacked table it produces?
I have been trying to normalize a very nested json file I will later analyze. What I am struggling with is how to go more than one level deep to normalize.
What is the recommended way of serializing a namedtuple to json with the field names retained?
I have a JSON file that has the following structure:
After answering a question about how to parse a text file containing arrays of floats, I ran the following benchmark:
I’d like to parse a JSON string into an object under Google App Engine (python). What do you recommend? Something to encode/stringify would be nice too. Is what you recommend built in, or a library that I have to include in my app? Is it secure? Thanks.
I have the following, very basic code that throws; TypeError: the JSON object must be str, not 'bytes'
I have a list of objects that I need to jsonify. I’ve looked at the flask jsonify docs, but I’m just not getting it.
I am trying to loop through a list of objects deleting an element from each object. Each object is a new line. I am trying to then save the new file as is without the element contained within the objects.
I have the a json file whose contents is {"67790": {"1": {"kwh": 319.4}}}. Now I create a dictionary a_dict which I need to append it into the json file. I tried the following but was not able to do it correctly. Where I’m going wrong?