HOW TO PARSE DIFFERENT TYPES OF NESTED JSON USING PYTHON | DATA FRAME | TRICKS

This video will show 4 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐭𝐲𝐩𝐞𝐬 𝐨𝐟 𝐣𝐬𝐨𝐧 examples and how to 𝐩𝐚𝐫𝐬𝐞 them. There will be json normalize, 𝐩𝐚𝐧𝐝𝐚𝐬 explode, recursion, iteration, date time formatting. This should help in your first experiences with nested json parsing. Turn on the 🔔 notification

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#parsejson, #json, #mrfugudatascience

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Here are a couple videos that you may like:

[JohnSmith-nchc]

This is great. This video helped me solve something I'd been working on for 4 days straight.

I'm working on a public API and there JSON data was nested in different ways but had the same data. Keys were in different indentations. Pulled my hair out (literally) trying to solve for it.

Thanks Mr. Fugu!

[krist]

This is probably the most useful, no clutter, instructions on using pandas to normalize complex nesting.

[ketanchhatbar]

This is what i have been looking for. I was struggling to get the solution for last 2 days straight . Amazing video .

[shanakaj]

recently came across your channel. you are a Genuis! I had a complex json and your 3rd or 4th example is exactly what was needed. Simple to understand and more better, it's a video!

[alwaysWannaFlai]

I find myself can't understand publications so I open youtube instead. I knew I still have a lot to learn but, I didn't expect that there are vastly more to learn to be a data scientist. Thank you for your tutorials, wish me luck!

[healingsounds]

This was excellent !!!! Thanks m8. Subscribed as well.

[nb]

Nice vid. In example 1, how's the best way to flatten and view those keys with lists of dictionaries?
I didn't see what the dataframe would look like if there was such a list longer than 1 item

[sheebajohnson]

I have unflatten json with nested list inside. Is have any script to take some columns only.Not needed all coloumn values and converted into parquet. Also the columns name is not hard-coded. To handle dynamic schema

[deepaknaidu]

hi, i am dealing with a problem where i have a set of json files and i need to delete some of the content in it, how do i do it in a complex nested dictionary?

[gustavemuhoza]

The tricky thing I had not been able to figure out now for 1 year (no exaggeration) was how you solved the skills column (as well as other lists in another dictionaries). I had left a similar column in my use case thinking it would be straightforward not knowing how the fact that the lengths are different would be tricky. Thank you. Thank you! Question: Is there an easier way to just create a column based on the Skills column that has, for example, True when someone has just C++ and Java but nothing else. So if someone has Java skills, that would be a True. If someone has C++ that would also be true. If someone has no skills, that will be False. If someone has Ruby, that would be False. If someone has C++ and Java that will also be true. But if someone has Java, C++ and Python, that will be False. Now I can do this by using the already created columns with 1's and 0s, but I thought you may have a better way of doing this (I tried using regular expressions and couldn't find another way of doing it). In any case, thanks a million for this video and others.

[amanmann]

Hi Just came across your vid and was trying to use a recursive approach but there seems to be a problem with your code. Every time I run this code on different datasets, the final results include all the datasets on which i used the function. I tried making the g list local but then nothing comes up as output. Any fast help would really be appreciated.

[sumitbarde]

Hi fugu.. I have a similar problem. I have a hierarchical json(parent and child) structure.
The number of childs can be dynamic. I have written a code using explode which will solve my problem, but i want a solution where child jsons can be dynamic.

How can i explode same column multiple times till i get flatten values

[NORCupcake]

Hi, good video - nice and calm voice, keep up the good work. However, I am still struggling seeing how the examples can be transferred to my case where the response is a dictionary, which contains invoices, and on a deeper level, line_items. I wish to simply expand line items from invoice - how can I concatenate invoice with line_items? Would appreciate any tips.

{
"list": [
{
"invoice": {
"id": "2732",
"customer_id": "1321dsfdfs",
"subscription_id": "21312adsdfsadfs",
"recurring": true,
"status": "paid",
"price_type": "tax_exclusive",
"date": 1600592228,
"due_date": 1600592228,
"net_term_days": 0,
"exchange_rate": 1.0,
"total": 676280,
"amount_paid": 676280,
"amount_adjusted": 0,
"write_off_amount": 0,
"credits_applied": 0,
"amount_due": 0,
"paid_at": 1600592230,
"updated_at": 1600592232,
"resource_version": 1600592232291,
"deleted": false,
"object": "invoice",
"first_invoice": false,
"amount_to_collect": 0,
"round_off_amount": 0,
"has_advance_charges": false,
"currency_code": "NOK",
"base_currency_code": "NOK",
"is_gifted": false,
"term_finalized": true,
"tax": 2520,
"line_items": [
{
"id": "fdsfsd3234211",
"date_from": 1598232725,
"date_to": 1598232725,
"unit_amount": 800,
"quantity": 1,
"amount": 800,
"pricing_model": "flat_fee",
"is_taxed": false,
"tax_amount": 0,
"object": "line_item",
"subscription_id": "21312adsdfsadfs",
"customer_id": "1321dsfdfs",
"description": "Autopass passering",
"entity_type": "addon",
"entity_id": "autopass-passering",
"tax_exempt_reason": "region_non_taxable",
"discount_amount": 0,
"item_level_discount_amount": 0
}, etc.