Flatten nested json in pandas Question: I have weather observation data received in JSON which I’d like to flatten. One Full Record The first location, contains 25 reports, Rep in ‘Period’ {‘SiteRep’: {‘DV’: {‘type’: ‘Obs’, ‘Location’: [{‘i’: ‘3002’, ‘lat’: ‘60.749’, ‘lon’: ‘-0.854’, ‘name’: ‘BALTASOUND’, ‘Period’: [{‘Rep’: {‘$’: ‘1380’, ‘D’: ‘SW’, ‘G’: ’34’, ‘H’: ‘79.5’, ‘P’: …
How to change json data into dataframe Question: I need one help to convert json data into dataframe. Could you please help me how to do this? Example: JSON DATA { "user_id": "vmani4", "password": "*****", "api_name": "KOL", "body": { "api_name": "KOL", "columns": [ "kol_id", "jnj_id", "kol_full_nm", "thrc_cd" ], "filter": { "kol_id": "101152", "jnj_id": "7124166", "thrc_nm": …
How to deal with nested JSON Question: This is an example of one of the JSON objects given to me by the API. There are 100 of these. [{"id": "133248644", "associations": {"deals": {"results": [{"id": "2762673039", "type": "line_item_to_deal"}]}}, "properties": { "createdate": "2020-08-06T15:05:23.253Z", "description": null, "hs_lastmodifieddate": "2020-08-06T15:05:23.253Z", "hs_object_id": "133248644", "name": "test product", "price": "100"}, "createdAt": "2020-08-06T15:05:23.253Z", "updatedAt": …
How to groupby two columns of a dataframe and convert other columns into dict with column header as key Question: Dataframe: id id_2 salary title allowance name 0420 13.28 100000 director No Tom 0420 13.28 70000 developer Yes Sam 0110 13.12 120000 director No Dave 0110 13.12 75000 developer Yes shaun Groupby id and id_2 …
Nested JSON Array to Python Pandas DataFrame Question: I’m trying to expand nested json array in pandas dataframe. That’s the JSON I have: [ { "id": "0001", "name": "Stiven", "location": [{ "country": "Colombia", "department": "Chocó", "city": "Quibdó" }, { "country": "Colombia", "department": "Antioquia", "city": "Medellin" }, { "country": "Colombia", "department": "Cundinamarca", "city": "Bogotá" } ] …
normalize a column in pandas dataframe Question: I am able to import data from json file using this code… import requests from pandas.io.json import json_normalize url = “https://datameetgeobk.s3.amazonaws.com/image_list.json” resp = requests.get(url=url) df = json_normalize(resp.json()[‘Images’]) df.head() But the column “BlockDeviceMappings” is actually a list and each item has DeviceName and Ebs parameters those are string and …
How to normalize json correctly by Python Pandas Question: I want to do is load a json file of forex historical price data by Pandas and do statistic with the data. I have go through many topics on Pandas and parsing json file. I want to pass a json file with extra value and nested …
