Python | Pandas Series.tolist()
Last Updated :
01 Oct, 2018
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 tolist()
is used to convert a series to list. Initially the series is of type pandas.core.series.Series and applying tolist() method, it is converted to list data type.
Syntax: Series.tolist()
Return type: Converted series into List
To download the data set used in following example, click here.
In the following examples, the data frame used contains data of some NBA players. The image of data frame before any operations is attached below.
Example:
In this example, the data type of Name column is stored in a variable. After that it is converted using tolist() method and again data type is stored and printed.
import pandas as pd
import re
data.dropna(inplace = True )
dtype_before = type (data[ "Salary" ])
salary_list = data[ "Salary" ].tolist()
dtype_after = type (salary_list)
print ( "Data type before converting = {}\nData type after converting = {}" . format (dtype_before, dtype_after))
salary_list
|
Output:
As shown in the output image, the data type was converted from Series to List. The output of salary_list was in list format.
Like Article
Suggest improvement
Share your thoughts in the comments
Please Login to comment...