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Pandas First Steps

Function iloc() 1/2Function iloc() 1/2

You can also access rows in a DataFrame by their index. There are multiple ways to do this:

  • .iloc - is used to access rows by their numerical index, starting from 0;
  • .loc - is used to access rows by their string label.

In this course, we will focus exclusively on using the .iloc() function.

First, let's create a DataFrame to work with.

The DataFrame has the following structure:

Example

You can notice the first column, which serves as the row index. We'll use these indexes to access specific rows in the DataFrame. Now let's examine the syntax of this function:

Now it's time to apply this function to our DataFrame.

After running the above code, you'll get rows that correspond to the indexes indicated in the image below:

Example

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Секція 1. Розділ 13
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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() 1/2Function iloc() 1/2

You can also access rows in a DataFrame by their index. There are multiple ways to do this:

  • .iloc - is used to access rows by their numerical index, starting from 0;
  • .loc - is used to access rows by their string label.

In this course, we will focus exclusively on using the .iloc() function.

First, let's create a DataFrame to work with.

The DataFrame has the following structure:

Example

You can notice the first column, which serves as the row index. We'll use these indexes to access specific rows in the DataFrame. Now let's examine the syntax of this function:

Now it's time to apply this function to our DataFrame.

After running the above code, you'll get rows that correspond to the indexes indicated in the image below:

Example

Все було зрозуміло?

Секція 1. Розділ 13
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