Get startedGet started for free

Accessing rows and columns

While your typical DataFrame may contain hundreds, thousands, and maybe even millions of rows, sometimes you'll just want to explore your data bit-by-bit. This will often mean focusing on one row to get a picture of all the data available for a given set of your data. It may also mean viewing a column to get a picture of the available values.

In this exercise, you'll explore your wild side by accessing rows and columns in the animals DataFrame in a few different ways.

Use the .index and .columns attributes on animals in the console to get a sneak peek at the data.

This exercise is part of the course

Python for MATLAB Users

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Access the Narwhal row
print(animals.loc['____'])
Edit and Run Code