Pandas Series Astype Method: A Comprehensive Guide

Introduction

The astype() method in Python's pandas library is used to convert the data type of a pandas Series object. It allows us to change the data type of the Series to a specified data type. This lab will guide you through the usage of the astype() method in pandas.

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Skills Graph

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Import the pandas library

First, import the pandas library using the import statement:

import pandas as pd

Create a pandas Series object

Next, create a pandas Series object using the pd.Series() function:

series = pd.Series([1, 2, 3, 4, 5])

Check the data type before conversion

Before converting the data type of the Series object, let's check the current data type using the dtypes attribute:

print("Before converting data type of Series:")
print(series.dtypes)

Convert the data type using astype()

To convert the data type of the Series object, we use the astype() method and specify the desired data type as an argument:

series = series.astype('int32')

This will convert the data type of the Series object from 'int64' to 'int32'.

Check the data type after conversion

After converting the data type, let's check the new data type using the dtypes attribute again:

print("After converting data type of Series:")
print(series.dtypes)

Summary

In this lab, you learned how to use the astype() method in pandas to convert the data type of a Series object. By specifying the desired data type as an argument to the astype() method, you can easily change the data type of the Series object in pandas.

Please note that the content of the lab has been revised according to the given requirements. So, it may differ from the original tutorial. Please make sure to verify the accuracy and revise it further if necessary.

Pandas Series Astype Method