Flattening a JSON Object Using Recursion in Python

[@samanthalee6749]

This is the clearest coding tutorial I've ever seen in my life. Liz you are awesome. Very high quality step by step break down of the problem and solution.

[@HakeemLawrence]

Liz, I love you for this. You saved my life. I will watch all of your other videos. Thank you so much! I really appreciate it!

[@christophercarr4207]

Thank you! I REALLY needed this.

[@todorowael]

Thank you for the clear explanation!

[@kjuarez29]

One helluva good explanation! Please keep making videos

[@idanqwe1]

Hey, what if we want to get back from flatten to json object?

[@thndesmondsaid]

I think this solution may break down in the list section if the elements within the list are dicts? Need to test it though to be sure.

[@thisoldproperty]

Very clear. Very concise. First time I've come across your videos. How you have more of these. Thank you.

[@rahimskmd5314]

How do I take one key value pair based on some condition , like from ur example I want city in Canada that starts with M

[@gboyegaabidoye6524]

great explanation, thank you. what if you want the output in a tabular form

[@harshadnaidu4294]

Too good so well explained

[@m.e.k1741]

Here is the code that will work on all data structures
def run_on_dict(data):
for key, value in data.items():
if isinstance(value, dict):
run_on_dict(value)
elif isinstance(value, list):
for element in value:
if isinstance(element, (dict, list)):
run_on_dict(element)
else:
print(f"{key}: {element}")
else:
print(f"{key}: {value}")

[@riz699]

where is the code? Please provide the link so that it can be test.

[@madmonk0]

Nice tutorial, thanks!
Have you got any tips if I want to only output specific keys in the json object? (Parameterised as a list)
Eg json object:
obj = {'key1' :
{'key2':
{'key3': 'value1',
'key4': 'value2'
}
}
}
When caling the flatten function:
flatten_json( obj, ["key1.key2", "key3.key4"])
Desired output:
{
"key1.key2": "value1",
"key3.key5": "value3"
}

[@Troglodyte2021]

That jacket of yours, that logo is cool! :)

[@thndesmondsaid]

Thank you (!!)

[@shhhhhhKoiHai]

Awesome 👍

[@rosya910]

thank you

[@philtoa334]

Nice.