Pandas Series Append | Python Programming Tutorials

Introduction

The pandas Series.append() method is used to merge or concatenate two Series and return a new Series. It allows you to combine the elements of two Series together, either with or without preserving the original index values.

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Skills Graph

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Import the pandas module

To use the Series.append() method, we first need to import the pandas module in Python. You can do this by using the following code:

import pandas as pd

Create two Series

Next, we need to create two Series that we want to append together. You can create a Series by passing a list or array-like object to the pd.Series() constructor. For example:

s1 = pd.Series(['Python', 'Java'])
s2 = pd.Series([1, 2])

Append the Series

Now, we can use the Series.append() method to append s2 to s1. You can do this by calling the append() method on s1 and passing s2 as the to_append parameter. For example:

s3 = s1.append(s2)

(Optional) Ignore index values

By default, the append() method preserves the index values of the original Series. If you want to ignore the index values and generate a new index from 0 to n-1, you can pass the ignore_index=True parameter to the append() method. For example:

s3 = s1.append(s2, ignore_index=True)

(Optional) Verify integrity

If you want to ensure that the resulting index does not have any duplicate values, you can pass the verify_integrity=True parameter to the append() method. If there are any overlapping index values, it will raise a ValueError. For example:

s3 = s1.append(s2, verify_integrity=True)

Summary

In this lab, we learned how to use the Series.append() method in pandas to merge or concatenate two Series. We walked through the steps of importing the pandas module, creating the Series, and appending them together. Additionally, we explored the optional parameters to ignore index values or verify integrity. This method is useful when we want to combine two Series into a single Series in pandas.

Pandas Series Append Method