You could use argsort()
like
Say, input = 3
In [198]: input = 3
In [199]: df.iloc[(df['num']-input).abs().argsort()[:2]]
Out[199]:
num
2 4
4 2
df_sort
is the dataframe with 2 closest values.
In [200]: df_sort = df.iloc[(df['num']-input).abs().argsort()[:2]]
For index,
In [201]: df_sort.index.tolist()
Out[201]: [2, 4]
For values,
In [202]: df_sort['num'].tolist()
Out[202]: [4, 2]
Detail, for the above solution df
was
In [197]: df
Out[197]:
num
0 1
1 6
2 4
3 5
4 2