FAQ: Project: Board Slides for FoodWheel - What cuisines does FoodWheel offer?

This community-built FAQ covers the “What cuisines does FoodWheel offer?” exercise from the lesson “Project: Board Slides for FoodWheel”.

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Data Science

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What is cuisine.values?

cuisine_counts = restaurants.groupby('cuisine').name.count().reset_index()
cuisines = cuisine_counts.cuisine.values

And how come I cannot print it?

DataSeries.values is a list, DataFrame is a list of list (each list as 1 row). Both of them are Numpy arrays.

I think another valid answer is cuisine_counts.cuisine.tolist(). (Unless someone could point out the flaw in this method). However when I input it, Codecademy throws an absurd error saying it should be a list (it is).


I also thought the error message which Codecademy throwed was strange. In addition, according to the Pandas documentation for the .values, it is recommended to use .array or .to_numpy() instead, in the current version.

I’ve tried several ways to turn a Series into a list or an array, but strictly speaking, among the following ways it returns a list only if we use list() function or .to_list() method.

cuisines = cuisine_counts.cuisine.values
# <class 'numpy.ndarray'>

cuisines = cuisine_counts.cuisine.array
# <class 'pandas.core.arrays.numpy_.PandasArray'>

cuisines = cuisine_counts.cuisine.to_numpy()
# <class 'numpy.ndarray'>

cuisines = list(cuisine_counts.cuisine)
# <class 'list'>

cuisines = cuisine_counts.cuisine.to_list()
# <class 'list'>

I am also confused by this. I tried:

cuisines = [i for i in cuisine_counts.cuisine]

This produces a list but the excercise would not accept it.

I think it’s just a CodeCademy thing. I’ve encountered that the platform accepts only a specific kind of answer (a little bit lazy if you ask me).

As we all know, most of the time in python there are several ways around a problem, which one we select (and how elegant or efficient it is) is up to us.

I also used the .to_list( ) method, returning the same error. Then i just used the .value method just to pass the checkpoint, then I deleted it and used .to_list( ) again (yeah, I’m that stubborn lol), which returned no problem for the rest of the checkpoints.

Cheers! :beer: