Evaluate Validation Results
Now, you'll gain some more familiarity with the Validation Results of an Expectation validation. You'll try out a couple of ways of evaluating these results.
The Renewable Power Generation dataset has already been loaded into a Batch, assigned to the variable batch. The Expectation you created in the last exercise is assigned to the variable expectation, and the Validation Results are assigned to the variable validation_results. Great Expectations and pandas are available as gx and pd, respectively.
Diese Übung ist Teil des Kurses
Introduction to Data Quality with Great Expectations
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Validate Expectation
validation_results = batch.validate(
expect=expectation
)
# Describe Validation Results
print(validation_results.____())