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
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Access the Narwhal row
print(animals.loc['____'])