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Pandas First Steps

Access the Columns

question-icon

To correctly associate function names with their functionalities. We have a DataFrame named `cars` with four columns: `model`, `year`, `fueltype`, and `price`. This DataFrame contains 10 rows.


To extract the column, named 'fueltype' -
To extract the second row from DataFrame -
To extract columns named 'model', 'price' -
To extract the fifth row from DataFrame -

Click or drag`n`drop items and fill in the blanks

Everything was clear?

Section 2. Chapter 4
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Course Content

Pandas First Steps

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

Access the Columns

question-icon

To correctly associate function names with their functionalities. We have a DataFrame named `cars` with four columns: `model`, `year`, `fueltype`, and `price`. This DataFrame contains 10 rows.


To extract the column, named 'fueltype' -
To extract the second row from DataFrame -
To extract columns named 'model', 'price' -
To extract the fifth row from DataFrame -

Click or drag`n`drop items and fill in the blanks

Everything was clear?

Section 2. Chapter 4
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