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Pandas First Steps

Access the ColumnsAccess 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
course content

Course Content

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

Access the ColumnsAccess 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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