I have this input JSON: { "people": [ { "foo_name": "jack", "id": 123, "some_attr1": "val1" }, { "foo_name": "bob", "id": 456, "some_other_attr1": "val2" }, { "foo_name": "jack", "cool_attr1": "val3", "not_cool_attr1": "val4", "some_attr1": "vvaaalllllll" } ] } The desired output is:…
So far I can read a excel spreadsheet and convert it to JSON but I'm struggling to manipulate what data i want from the spreadsheet and how I want it displayed. this is how I read the sheet and add…
I have one table which contains one JSON string column. How can I extract the information this into several different columns? The json column values look something like this: [{"Name":"Id1","Value":"11ea1111-cc22-3bb3-a33d-62159f192eba"}, {"Name":"Id2","Value":"b2222222-7777-00eb-0cc1-12345687bbbb"}, {"Name":"Id3","Value":"5d65d2c1-151e-41b4-af00-12345687aaaa"}, {"Name":"Id4","Value":"5bbd0da5-7698-4fa6-a893-9874654123aa"}, {"Name":"Quantity","Value":"10"}, {"Name":"Id5","Value":"d22222-8877-4558-ah32-789456123"}] I would like to extract…
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": [ {…
in the data, column df['comments'] consists of 88107 rows with arrays with dictionaries ` [{'text': "It will be curious to see where this heads in the long run. CBS is on a tear but will it fit their image, will…
I'm looking for a way to check if file provided to the script matches a schema that is required by the script. My powershell version is 5 so no access to Test-Json cmndlet. Any ideas? JSON schema to be checked…
I have several columns in my database. In one of these columns is a JSON string like: fyvfvv. [ { "Value": "0000138010687", "Name": "Code" } ] I need to select those rows from the database, whose JSON is filled with…
I want to de-serialize a JSON where a node contains values which comma-separated. But the object which contains the comma returns null when deserializing. Input JSON: { "SolutionTabletSubSectionUId": "3fa85f64-5717-4562-b3fc-2c963f66afa6", "SolutionTabletSubSectionId": 1, "SolutionTabletUId": "3fa85f64-5717-4562-b3fc-2c963f66afa6", "Title": "string", "SubTitle": "string", "Description": "string", "Link":…
I have a DataFrame with these columns: id, jan_x, jan_y, feb_x, feb_y, ..., dec_x, dec_y that I would like export as a json that is structured like this: { "id1": [ [jan_x, feb_x, ..., dec_x], [jan_y, feb_y, ..., dec_y] ],…
I'm not used to working on json files. As shown in the image below, when I copy the content in PublicPem field of json file, it shows red curly lines at three places, and gives me the warning Unexpected end…