Overview:
- Largest 'n' numbers and smallest 'n' numbers from a Pandas series can be obtained through the methods nlargest() and nsmallest().
- Both the methods, nsmallest() and nlargest() return a pandas series.
- The original index from the main series is retained in the new series returned by nsmallest() and nlargest() methods.
Example – Getting ‘n’ smallest numbers from a Pandas Series:
|
# Example Python program to get the n smallest numbers from a Pandas series import pandas as pds
# List of numbers listOfNums = [5, 1, 10, 15, 75, 40, 35, 65, 70];
# Create a pandas Series series = pds.Series(listOfNums);
# Get a series with three smallest numbers from the main series nSmallSeries3 = series.nsmallest(3);
# Get a series with five smallest numbers from the main series nSmallSeries5 = series.nsmallest(5);
print("Series obtained with 3 smallest numbers:"); print(nSmallSeries3);
print("Series obtained with 5 smallest numbers:"); print(nSmallSeries5); |
Output:
|
Series obtained with 3 smallest numbers: 1 1 0 5 2 10 dtype: int64 Series obtained with 5 smallest numbers: 1 1 0 5 2 10 3 15 6 35 dtype: int64 |
Example – Getting ‘n’ largest numbers from a Pandas Series:
|
# Example Python program to get the n largest numbers from a Pandas series import pandas as pds
tupleOfNumbers = (0.1, 0.4, 0.2, 0.7, 0.6, 0.8, 1.2, 0.75, 0.05, 0.15); series = pds.Series(tupleOfNumbers); series4Large = series.nlargest(4); series6Large = series.nlargest(6);
print("Series with four largest elements from the original series:"); print(series4Large);
print("Series with six largest elements from the original series:"); series6Large = series.nlargest(6); print(series6Large); |
Output:
|
Series with four largest elements from the original series: 6 1.20 5 0.80 7 0.75 3 0.70 dtype: float64 Series with six largest elements from the original series: 6 1.20 5 0.80 7 0.75 3 0.70 4 0.60 1 0.40 dtype: float64 |