Return the string true if any two numbers can be multiplied so that the answer is greater than double the sum of all the elements in the array. If not, return the string false. let arr = [2,2,2,2,4,1] function SumMultiplier(arr)…
I am trying to use some shared preferences methods such as setStringList and getStringList but when using the get and displaying its values I get the following line on the console: {0: Instance of 'SearchDelegateModel', 1: Instance of 'SearchDelegateModel'} Here…
I have the following json data about experts. result={ "experts":[ { "thumbnail": "https://scholar.googleusercontent.com/citations?view_op=small_photo&user=JicYPdAAAAAJ&citpid=2", "name": "Geoffrey Hinton", "link": "https://scholar.google.com/citations?hl=en&user=JicYPdAAAAAJ", "author_id": "JicYPdAAAAAJ", "email": "Verified email at cs.toronto.edu", "affiliations": "Emeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, Google", "cited_by": 638900, "interests": [ {…
I'm trying to add a element to a json file, but i can add it to the level 4 of the file (LogDetails), however, it works for level 3 (Logs). I'm all new to Python and i can seem to…
I have a list of JSON objects and want to return a dictionary with the count of objects based on created[year-month] where created[year-month] is the key and count the value. I tried: result = {} for record in data_in: if…
My data looks like this: Key1: [Key2:[{},{},...{}]] The code something like this: dict_={} dict_['Key2']=all_items dict_fin={} dict_fin['Ke1']=[dict_] df=pd.DataFrame(dict_fin) df.to_json(filepath, orient="records",lines=True) I would like to have saved json like this: { "Key1": [{"Key2" : [{},{},...,{}]}] } Instead, I get it like this:…
I tried adding an array with dictionaries into a JSON file, but it returns a bunch of errors, so I'm wondering if is it possible to add dictionaries into a JSON file. (I'm not trying to push data into the…
I have to manipulate nested json file in way that only one assignment stays. How it looks now: import json a = ''' { "tasks": [ { "Assignments": [ { "EmployeeId": "1000", "TotalWork": 1, "RemainingWork": 1 }, { "EmployeeId": "3L2kVk00x",…
Sample data: user_id = 1 project_id = 2 a = [{ "_id": { "$oid": "63fda80f3ab1f908c146131d" }, "data": { "project_id": 2, "user_id": 1, "activity_message": "Success 1", "activity_created_on": { "$date": "2023-02-28T12:30:55.652Z" } } },{ "_id": { "$oid": "63fda80f3ab1f908c146131d" }, "data": { "project_id":…
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',…