Establish a Column Count Expectation
In the last video, we learned about the ExpectTableRowCountToEqual(value: int) Expectation for a table's row count. As we saw towards the end of the video, Great Expectations also has an Expectation called ExpectTableColumnCountToEqual(value: int) This class is the exact same, except it applies to the column count instead of the row count. In this exercise, you'll implement the class to create and validate a column count Expectation.
You'll be using the same Renewable Power Generation dataset we referenced in the video. You can learn more about the dataset here.
The dataset has already been loaded into a Batch, assigned to the variable batch. Great Expectations and pandas are available as gx and pd, respectively.
This exercise is part of the course
Introduction to Data Quality with Great Expectations
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create table column count Expectation
expectation = gx.expectations.____(
value=____
)