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Pandas First Steps

Function iloc() 2/2Function iloc() 2/2

The DataFrame we are working with:

Example

In the DataFrame we're working with, you can also use negative indexing. 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. Let's see how this works in practice.

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

Example

It's time to practice!

Завдання

We have a DataFrame called audi_cars.

  1. Display all the details from the DataFrame for the Audi A1 model from the year 2017. To do this, you'll need to use positive indexing.
  2. Display all the details from the DataFrame for the Audi A1 model from the year 2016 using negative indexing.
  3. Display all the details from the DataFrame for the Audi A3 model using positive indexing.

Make sure to use the iloc() function. Give it a try!

Task Table

Все було зрозуміло?

Секція 1. Розділ 14
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Зміст курсу

Pandas First Steps

1. The Very First Steps

What is pandas? SeriesCreate a SeriesDataFrameSeries QuizCreating a DataFrame QuizAdd a New Column 1/2Add a New Column 2/2Delete a Row/Column Match the FunctionsWork with ColumnsExtracting Columns QuizFunction iloc() 1/2Function iloc() 2/2

2. Reading Files in Pandas

CSV FilesTXT FilesWorking with Files QuizAccess the Columns

3. Analyzing the Data

Viewing the DataHead QuizHead and Tail QuizInformation on the Data 1/2Information on the Data 2/2Finding Null ValuesIdentifying Null Values QuizDropping Null ValuesFilling Null ValuesNull Values QuizDescribing the DataCalculate Descriptive Statisticsmax() and min()Statistical Operations Quizsum() and count()Unique Values

Pandas First Steps

Function iloc() 2/2Function iloc() 2/2

The DataFrame we are working with:

Example

In the DataFrame we're working with, you can also use negative indexing. 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. Let's see how this works in practice.

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

Example

It's time to practice!

Завдання

We have a DataFrame called audi_cars.

  1. Display all the details from the DataFrame for the Audi A1 model from the year 2017. To do this, you'll need to use positive indexing.
  2. Display all the details from the DataFrame for the Audi A1 model from the year 2016 using negative indexing.
  3. Display all the details from the DataFrame for the Audi A3 model using positive indexing.

Make sure to use the iloc() function. Give it a try!

Task Table

Все було зрозуміло?

Секція 1. Розділ 14
toggle bottom row
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