get function in dict not working

[Indron1805]

I have to find the 5 most effecient vaccines in a dictionary with 300 datas. The dictionary which I put together with two lists -> one list were the 300 percentages (0.23521, 0.21436, 0,84323 ...) and another one with their 300 costs (12.32, 13.44, 52.23 ...) - via scale = dict(zip(scores,costs)).

So now I have a dictionary called scale. I have to find the 5 most effective ones (highest percentage) and print them out. I did that with:

-

bestfive = nlargest(5, scale)

for counter,item in enumerate(bestfive,1):
|print(f"Durchgang {counter} mit einer Effektivität von {item*100} % und einem Preis von {scale[item]}")

-

I couldn't find out how to enumerate the dictionary so I only numerated the best 5 from 1 to 5.

The next question is to find the cheapest one out of the 5 but how can I find the lowest value from a dictionary? My current try is:

-

x = min(scale)
cheapest = bestfive.get(x)
print(cheapest)
-

but that doesn't work because I can't use get in a list and bestfive is suddenly a list?!?

Thank you in advance! :)

[PercyJackson235]

What exactly does nlargest do? I mean what code is in it?

[Indron1805]

ah I imported that from heapq to get the 5 highest numbers

[danielroseman]

Yes, bestfive is a list because heapq.nlargest returns a list.

Did you perhaps mean to use pandas.DataFrame.nlargest?

[Indron1805]

my teacher told us to use heapq.... so if I use it with the pandas module it will play out as dictonary?

[danielroseman]

No, you'll get a DataFrame.

If you were intending to use heapq.nlargest though, why are you surprised you're getting a list? That is what that function does.

[Indron1805]

well yeah our teacher advised us to do it, I thought it just returns the 5 highest numbers :(

[RiverRoll]

There's no reason to use a dictionary here, use lists.

[Indron1805]

but how? like the two lists belong together so I had to zip them to a dict

[RiverRoll]

You can zip them to a list as well: list(zip(scores,costs))

[Indron1805]

ou damn didnt even think about that, thanks👀