It should be a simple line of code using pd.json_normalize function but it's working only with a single string and it's not batch processing my whole column Orginial dataframe df['addresses'][0] [{'addressLine1': '124 Main Street', 'addressLine2': '', 'addressLine3': '', 'city': 'Portland',…
I'm doing a course and I'm a little complicated with this exercise I have 2 json that I have to join in a dictionary, but this must meet certain rules. department = [ {"ID": 1, "Name": "John", "Role": "Manager", "employees"…
I have a this array of dictionaries: jsn = [{'ID' : '01', 'Item' : 'Apple', 'salesman' :'Johnny'}, {'ID': '02', 'Item': 'carrot', 'salesman':'Patricia'}, {'ID': '04', 'Item' : 'airplane', 'salesman' : 'Eddgard'}, {'ID' : '05', 'item' : 'iron', 'salesman' : 'Bettany'}] and…
I have data like this which represents hierarchical tree structure: [ { "level":0, "name":"python" }, { "level":1, "name":"food" }, { "level":2, "name":"banana" }, { "level":3, "name":"protein" }, { "level":2, "name":"apple" }, { "level":1, "name":"fuel" } ] I want to transform…
I am trying to output a dictionary as JSON, using python 2.7 (this can not be upgraded) The keys in the data are strings that contain numbers, like 'item_10', and have an arbitrary order. For example, this code generates some…
I want to merge two lists and get data matched without duplicates and to alias them to new structure I have two lists here is a given two list try to merge cats = [ 'orange', 'apple', 'banana' ] and…
I'd like to create a single "Card" component containing some content like title, subtitle, etc picked from a data.js file which contains an array with all these elements. What I want to achive is, it must changes on every refresh…
I have a json dataset where each item/index can contain 2 nested dictionaries. The problem is that one of these nested dictionaries contains all of the exact key:value pairs as its parent dictionary. To put it in other words, I…
{ "results": [ { "content1": { "prop1" : "value1", "prop2" : "value2" }, "content2": { "prop1" : "value1", "prop2" : "value2" }, "contentn": { "prop1" : "value1", "prop2" : "value2" } } ] } I am having trouble converting this…
I made the following dict: logs = { '3h forecast': { 'Ort': '', 'Datum und Uhrzeit': '', 'Temperatur': '', 'Temperatur_Min': '', 'Temperatur_Max': ''}, '6h forecast': { 'Ort': '', 'Datum und Uhrzeit': '', 'Temperatur': '', 'Temperatur_Min': '', 'Temperatur_Max': ''}, '9h forecast':…