Find n-smallest and n-largest values from DataFrame for a particular Column in Pandas
Locating the n-smallest and n-largest values:
import pandas as pd df = pd.DataFrame([[10, 20, 30, 40], [7, 14, 21, 28], [55, 15, 8, 12], [15, 14, 1, 8], [7, 1, 1, 8], [5, 4, 9, 2]], columns=['Apple', 'Orange', 'Banana', 'Pear'], index=['Basket1', 'Basket2', 'Basket3', 'Basket4', 'Basket5', 'Basket6']) print("\n----------- nsmallest -----------\n") print(df.nsmallest(2, ['Apple'])) print("\n----------- nlargest -----------\n") print(df.nlargest(2, ['Apple']))
C:\pandas>python example.py ----------- nsmallest ----------- Apple Orange Banana Pear Basket6 5 4 9 2 Basket2 7 14 21 28 ----------- nlargest ----------- Apple Orange Banana Pear Basket3 55 15 8 12 Basket4 15 14 1 8 C:\pandas>
2018-11-05T20:08:08+05:30
2018-11-05T20:08:08+05:30
Amit Arora
Amit Arora
Python Programming Tutorial
Python
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