Pandas Pop() Method | Python Data Analysis

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Release: 2024-08-29 13:06:50
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Introduction

Pandas Pop() Method | Python Data Analysis

In this lab, we will be exploring the pop() method in the Python Pandas library. The pop() method is used to delete or drop a specified item in a DataFrame and returns the item. If the specified item is not found, the method raises a KeyError.

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Importing the pandas library

First, we need to import the pandas library in order to use the pop() method.

import pandas as pd
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Creating a DataFrame

Next, we will create a DataFrame object using the DataFrame() constructor. We will pass a dictionary containing the column labels and their corresponding values.

df = pd.DataFrame({'Name': ['Pooja', 'Sindu', 'Renuka'], 'Age': [18, 25, 20], 'Height': [145, 155, 165], 'Weight': [45, 55, 65]})
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Dropping an item from the DataFrame

Now, we can use the pop() method to drop a specified item from the DataFrame. The method takes the label of the column to be popped as the parameter.

df.pop('Age')
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Printing the modified DataFrame

Finally, we can print the modified DataFrame to see the changes.

print(df)
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Here is the complete code:

import pandas as pd

df = pd.DataFrame({'Name': ['Pooja', 'Sindu', 'Renuka'], 'Age': [18, 25, 20], 'Height': [145, 155, 165], 'Weight': [45, 55, 65]})

df.pop('Age')

print(df)
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Summary

In this lab, we learned how to use the pop() method in the Python Pandas library to delete or drop a specified item in a DataFrame. We also learned how to handle a KeyError if the specified item is not found in the DataFrame. The pop() method can be a useful tool for manipulating and modifying DataFrames in Python.


? Practice Now: Pandas DataFrame Pop Method


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