Python | Pandas Series.nsmallest() Last Updated : 11 Feb, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report 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. Python3 # 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. Python3 # return the first 2 of the smallest # element result = sr.nsmallest(n = 2) # 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. Python3 # 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. Python3 # return the first 5 of the smallest # element result = sr.nsmallest(n = 5) # 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. Comment More infoAdvertise with us Next Article Python | Pandas Series.at S Shubham__Ranjan Follow Improve Article Tags : Pandas Python-pandas Python pandas-series-methods AI-ML-DS With Python Similar Reads Python | Pandas Series.nlargest() 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.nlargest() function return th 2 min read Python | Pandas Series.last() 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.last() function is a convenie 2 min read Python | Pandas Series.at Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas Series.at attribute enables us to access a single value for a row/column label 2 min read Python | Pandas Series.le() Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas series.le() is used to compare every element of Caller series with passed serie 3 min read Python | Pandas Series.axes Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Python | Pandas Series.iat Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Like