goat | Annotate Images On The Web | Animation library

Say we have a type representing a box of a dozen donuts,

Consider this pandas dataframe:

I have df1:

Here is are my menu items, and I want to filter only the Drinks in a drink Component, I am displaying both the 'Drinks' and 'Eat' under categories. And my goal is to only filter and extract the 'Drinks' as I am displaying the drinks on its own component.

Here is my data:

This is my first stack overflow question, so if I am presenting something wrong, please let me know. I am pretty new to computer programming, so I just have a small webpage where I am just implementing things that I am learning.

I made a little quiz with random trivia multiple choice questions you can take if you press a button. I am using window prompts to ask the questions and get the answers, and I have all of the questions and answers stored as objects with question/prompt and answer pairs. All of those objects are stored in an array in a variable called shortQuizPrompts. I already have the quiz working and everything, aka., It tells you after every question if you got the answer to that question right or wrong, and it gives you a grade afterwards... I also have it set up so that if you enter an answer that is not "a", "b", "c", or "d", it lets you know that it isnt a valid answer. Those sorts of things.

As of right now, you can choose how many questions long you want the quiz to be out of the 24 total questions I have so far. It just asks the questions in the order that they are stored in the array. For example, you will never be asked the last question in the array if you do not choose for the quiz to be the full 24 questions long. However, I want to make the quiz ask the questions in a random order, while also removing those questions from the array as to not ask the same question multiple times.

I have tried increasing the iterator while looping through the array to a random number from 0 to the length of however many questions they chose. Then checking to see if the iterator was larger than the length of the number of questions they chose, it would decrease the iterator until it found a question that is still in the array that it could ask...

If anyone knows how to go about doing that, it would be great. Sorry for the long question btw. I am pretty new to coding, so this is probably a simple answer, but I digress. I'm pretty sure I did everything right. Thx.

I have a nested list of lists which contains some data frames. However, the data frames can appear at any level in the list. What I want to end up with is a flat list, i.e. just one level, where each element is only the data frames, with all other things discarded.

I have come up with a solution for this, but it looks very clunky and I am sure there ought to be a more elegant solution.

Importantly, I'm looking for something in base R, that can extract data frames at any level inside the nested list. I have tried unlist() and dabbled with rapply() but somehow not found a satisfying solution.

Example code follows: an example list, what I am actually trying to achieve, and my own solution which I am not very happy with. Thanks for any help!

I am fairly new to Python (and programming in general) so this may be a noob question, but I was of the understanding that in python, when you create a class, and you create X methods within it, that if you want to leverage those methods, you need to instantiate the class or create an instance of the class.

I am reviewing the TestCase module (testing goat for TDD) and I notice that we can run the program (performs all the logic within the methods of the classes) without actually creating any instance objects to "call" those methods directly.

So my question is...how is it running?

Ex.

I have a dataframe column as follows: