Get startedGet started for free

Pandas DataFrames

Numpy is great if your data contains homogeneous data. In many statistical datasets, data will be heterogeneous, i.e., having columns of varying data types. If that's the case, you can use a different library, pandas, to deal with these spreadsheet-like datasets. This gives python the DataFrame object, similar to the one in R.

This exercise is part of the course

Python for R Users

View Course

Hands-on interactive exercise

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

# Import the pandas library
____
Edit and Run Code