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Accessing the Columns | Reading Files in Pandas
Pandas First Steps
course content

Course Content

Pandas First Steps

Pandas First Steps

1. The Very First Steps
2. Reading Files in Pandas
3. Analyzing the Data

bookAccessing the Columns

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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

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Section 2. Chapter 4
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