Cache flushing
Exploring big data can be a very time-consuming process. You need to operate over a column, transform its data, check that the output is what you want, and compare it with data in another column, including its frequency, histogram, and descriptive analytics.
To help you accelerate your job, Optimus knows when it needs to recalculate the profiler stats so you do not have to wait, which can be very helpful if you are handling big data.
Internally, Optimus declares some Actions that trigger the column profile recalculation. To get the full list of Actions that will require a recalculation, you can use the following:
from optimus.helpers.constants import Actions Actions.list()
Actions.list() will get us a Python list:
['profiler_dtype', 'lower', 'upper', 'proper', 'pad', 'trim', 'reverse', 'remove', 'left', 'right', 'mid', 'replace', &apos...
