Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
Pandas Series.nsmallest() function return the n smallest element from the underlying data in the given series object.
Syntax: Series.nsmallest(n=5, keep=’first’)
Parameter :
n : Return this many ascending sorted values.
keep : {‘first’, ‘last’, ‘all’}, default ‘first’Returns : Series
Example #1: Use Series.nsmallest() function to return the first n smallest element from the given series object.
# importing pandas as pd import pandas as pd   # Creating the Series sr = pd.Series([10, 25, 3, 11, 24, 6])   # Create the Index index_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp']   # set the index sr.index = index_   # Print the series print(sr) |
Output :
Now we will use Series.nsmallest() function to find the first 2 smallest value in the given series object.
# return the first 2 of the smallest # element result = sr.nsmallest(n = 2) Â Â # Print the result print(result) |
Output :
As we can see in the output, the Series.nsmallest() function has successfully returned the first 2 smallest value in the given series object.
Example #2: Use Series.nsmallest() function to return the first n smallest element from the given series object.
# importing pandas as pd import pandas as pd   # Creating the Series sr = pd.Series([11, 21, 8, 18, 65, 84, 32, 10, 5, 24, 32])   # Print the series print(sr) |
Output :
Now we will use Series.nsmallest() function to find the first 5 smallest value in the given series object.
# return the first 5 of the smallest # element result = sr.nsmallest(n = 5) Â Â # Print the result print(result) |
Output :
As we can see in the output, the Series.nsmallest() function has successfully returned the first 5 smallest value in the given series object.
