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Appending values to a Series Applying a function to Series Binning values in a Series Changing data type of Series Checking if a value is NaN in Pandas Series Checking if all values are NaN in Series Checking if all values in a Series are unique Checking if Series has missing values Converting Python list to Series Converting Series of lists into DataFrame Converting Series to a Numpy array Converting Series to Python list Counting frequency of values in Series Creating a Series of zeroes Creating a Series with constant value Filtering strings based on length in Series Filtering values of a Series Getting frequency counts of values in intervals Getting index of largest value Getting index of smallest value Getting index of value in Series Getting integer index of largest value Getting integer index of smallest value Getting integer index of value in Series Getting intersection of Series Getting length of each string in Series Getting list of integer indices where value is boolean True in Series Getting the index of the nth value in Series Getting the most frequent value in Series Getting value of Series using integer index Grouping Series by its values Handling error - "Truth value of a Series is ambiguous"Inverting a Series of booleans Removing missing values from a Series Removing substrings from strings in a Series Removing values from Series Resetting index of Series Sorting values in a Series Splitting strings based on space Stripping leading and trailing whitespace Taking the floor or ceiling of values in Series Using index.get_loc(~) for multiple values

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Converting Pandas Series to Python list

Pandas

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Series Cookbook

schedule Jul 1, 2022

Last updated

local_offer Python●Pandas

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To convert a Pandas Series to Python list, either use to_list(~) or Python's built-in list(~).

Using to_list(~):


        
        
            
                
                
                    s = pd.Series([3,5])
s.to_list()
                
            
            [3, 5]

Using list(~):


        
        
            
                
                
                    s = pd.Series([3,5])
list(s)
                
            
            [3, 5]

Note that the returned Python list contains a new copy of the Series' data - modifying an item in the list will not mutate the original Series, and vice versa.

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Published by Isshin Inada

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