Removing missing values
Now that you know there are some missing values in your DataFrame, you have a few options to deal with them. One way is to remove them from the dataset completely. In this exercise, you'll remove missing values by removing all rows that contain missing values.
pandas has been imported as pd and avocados_2016 is available.
This exercise is part of the course
Data Manipulation with pandas
Exercise instructions
- Remove the rows of
avocados_2016that contain missing values and store the remaining rows inavocados_complete. - Verify that all missing values have been removed from
avocados_complete. Calculate each column that has NAs and print.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Remove rows with missing values
avocados_complete = ____
# Check if any columns contain missing values
print(____)