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Learn Challenge: Using iloc | The Very First Steps
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Challenge: Using iloc

The DataFrame we are working with:

You can also use negative indexing to access rows in the DataFrame. Negative indexing starts from the end of the DataFrame: index -1 points to the last row, -2 to the second to last, and so on.

To access the seventh row (which refers to Latvia), you can use either index 6 or -1.

123456
import pandas countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'], 'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'], 'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']} countries = pandas.DataFrame(countries_data) # Accessing to the seventh row using negative indexing print(countries.iloc[-1])
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Running the above code will return the row highlighted in the image below:

Task

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You are given a DataFrame named audi_cars.

  • Display all the details from the DataFrame for the 'Audi A1' model from the year 2017 and store the result in the audi_A1_2017 variable.

  • Display all the details from the DataFrame for the 'Audi A1' model from the year 2016 and store the result in the audi_A1_2016 variable.

  • Display all the details from the DataFrame for the Audi A3 model and store the result in the audi_A3 variable.

Task Table

Solution

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SectionΒ 1. ChapterΒ 14

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book
Challenge: Using iloc

The DataFrame we are working with:

You can also use negative indexing to access rows in the DataFrame. Negative indexing starts from the end of the DataFrame: index -1 points to the last row, -2 to the second to last, and so on.

To access the seventh row (which refers to Latvia), you can use either index 6 or -1.

123456
import pandas countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'], 'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'], 'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']} countries = pandas.DataFrame(countries_data) # Accessing to the seventh row using negative indexing print(countries.iloc[-1])
copy

Running the above code will return the row highlighted in the image below:

Task

Swipe to start coding

You are given a DataFrame named audi_cars.

  • Display all the details from the DataFrame for the 'Audi A1' model from the year 2017 and store the result in the audi_A1_2017 variable.

  • Display all the details from the DataFrame for the 'Audi A1' model from the year 2016 and store the result in the audi_A1_2016 variable.

  • Display all the details from the DataFrame for the Audi A3 model and store the result in the audi_A3 variable.

Task Table

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 1. ChapterΒ 14
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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