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Deleting a Row/Column

At times, certain columns may not provide valuable information, making it advantageous to remove them. The pandas library offers the drop() method for this purpose.

python

index : specifies the row indexes to be deleted (used when axis=0 );
columns : identifies the column names to be deleted (used when axis=1 );
axis : choose whether to remove labels from the rows ( 0 ) or columns ( 1 ). The default is 0 .

We'll start by examining the DataFrame:


              1234567
            
import pandas as pd 

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : [None, None, 'Europe', None, 'Europe', None, 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(countries_data)
print(countries)

We notice that the 'continent' column contains numerous missing values, making it less informative. Consequently, we'll remove it.


              12345678
            
import pandas

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : [None, None, 'Europe', None, 'Europe', None, 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pandas.DataFrame(countries_data)
countries = countries.drop(columns = ['continent'],axis=1)
print(countries)

Task

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You are given a DataFrame named audi_cars.

Remove the 'capital' column and save the resulting DataFrame in the audi_cars variable.

Solution

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Section 1. Chapter 9

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Deleting a Row/Column

At times, certain columns may not provide valuable information, making it advantageous to remove them. The pandas library offers the drop() method for this purpose.

python

index : specifies the row indexes to be deleted (used when axis=0 );
columns : identifies the column names to be deleted (used when axis=1 );
axis : choose whether to remove labels from the rows ( 0 ) or columns ( 1 ). The default is 0 .

We'll start by examining the DataFrame:


              1234567
            
import pandas as pd 

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : [None, None, 'Europe', None, 'Europe', None, 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pd.DataFrame(countries_data)
print(countries)

We notice that the 'continent' column contains numerous missing values, making it less informative. Consequently, we'll remove it.


              12345678
            
import pandas

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'],
          'continent' : [None, None, 'Europe', None, 'Europe', None, 'Europe'],
          'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pandas.DataFrame(countries_data)
countries = countries.drop(columns = ['continent'],axis=1)
print(countries)

Task

Swipe to start coding

You are given a DataFrame named audi_cars.

Remove the 'capital' column and save the resulting DataFrame in the audi_cars variable.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 1. Chapter 9

Switch to desktop for real-world practiceContinue from where you are using one of the options below