问题
I'm trying to get the index of 6th item in the Series I have.
This is how the head looks like
United States 1.536434e+13
China 6.348609e+12
Japan 5.542208e+12
Germany 3.493025e+12
France 2.681725e+12
For getting the 6th index name ( 6th Country after being sorted ), I usually use s.head(6) and get the 6th index from there
s.head(6) gives me
United States 1.536434e+13
China 6.348609e+12
Japan 5.542208e+12
Germany 3.493025e+12
France 2.681725e+12
United Kingdom 2.487907e+12
and looking at this, I'm getting the index as United Kingdom.
So, is there any better way for getting the index other than this. And also, for a data frame, is there any function to get the 6th index on basis of a respective column after sorting.
If it's data frame, I usually, sort, create a new column named index, and use reset_index and then use iloc attribute to get the 6th ( Since, it will be using an range in the index after reset ).
Is there any better way in doing this with pd.Series and pd.DataFrame.
Thank you.
回答1:
You could get it straight from the index
s.index[5]
Or
s.index.values[5]
It all depends on what you consider better
. I can tell you that a numpy
approach will probably be faster.
For example. numpy.argsort
returns an array where the first element in the array is the position in the array being sorted that should be first. The second element in argsort's return array is the position of the element in the array being sorted that should be second. So on and so forth.
So you could do this to get the index value of the 6th item after being sorted.
s.index.values[s.values.argsort()[5]]
Or more transparently
s.sort_values().index[5]
Or more creatively
s.nsmallest(6).idxmax()
回答2:
s.index[5] should give you the index of the 6th item
来源:https://stackoverflow.com/questions/41273005/how-to-get-the-index-of-ith-item-in-pandas-series