michelangelo | process library for procedurally constructing 3D geometries | Dataset library

I'm trying to write a query that return all documents where descrtratt: "Chemioterapia" and nomemed: "null".

This is what I tried:

I have some sample code that I use to analyze entities and its sentiments using Google's natural language API. For every record in my Pandas dataframe, I want to return a list of dictionaries where each element is an entity. However, I am running into issues when trying to have it work on the production data. Here is the sample code

I am stuck with a problem:

I have a table with many rows and columns like this (just more rows and columns):

Pizza consumption:

df =

in particular I want to access answer's numerical value, so that later on to sum them up.

previously tried length, which is not working for objects.

here is my data:

//Database://

const qData = [ { id: 0, question: "hey", answers: [ { value: 1, text: "rafael" }, { value: 2, text: "dontaelo" }, { value: 3, text: "leonardo" }, { value: 4, text: "michelangelo" } ] }, { id: 1, question: "hey hey", answers: [ { value: 1, text: "rafael" }, { value: 2, text: "dontaelo" }, { value: 3, text: "leonardo" }, { value: 4, text: "michelangelo" } ] } ];

export default qData;

//And the App itself//

class PersonalityQuiz extends React.Component { state = { score: 0 };