Drop schemas¶

• Schemas are not typically dropped in a production workflow with real data in it.
• At the developmental phase, it might be required for the table redesign.
• When dropping all schemas is needed, the following is the dependency order.

Change into the parent directory to find the dj_local_conf.json file.

In [ ]:

import os

if os.path.basename(os.getcwd()) == "notebooks":
    os.chdir("..")

import os if os.path.basename(os.getcwd()) == "notebooks": os.chdir("..")

In [ ]:

from workflow_miniscope.pipeline import lab, subject, session, miniscope

from workflow_miniscope.pipeline import lab, subject, session, miniscope

In [ ]:

miniscope.schema.drop()
session.schema.drop()
subject.schema.drop()
lab.schema.drop()

miniscope.schema.drop() session.schema.drop() subject.schema.drop() lab.schema.drop()