How to Get data from Modeled Sheet
Step 1: Import Adaptivepy and pretty print (to show results)
from wdadaptivepy import AdaptiveConnection
import pprint
Step 2: Set up your connection parameters
username = "" # Provide your username
password = "" # Provide your password
Step 3: Connect to your adaptive instance
adaptive = AdaptiveConnection(
login=username,
password=password
)
Step 4: Get data from modeled sheet
(only using required parameters)
modData = adaptive.data.from_modeled_sheet(
"MyModeledSheet",
"Workforce Planning")
Step 5: Display results
Sample Output
[{'Allocations >': '',
'Bonus %': 'None',
'Comments': 'My comments',
[{'Allocations >': '',
'Bonus %': 'None',
'Comments': 'My comments',
'Commission Target': '',
'End Date': '8/30/2025',
'Health Benefits': 'Plan 1',
'Hr/Week': '',
'InternalID': 'S24704',
'IsParent': '',
'Level': 'BC - 91',
'MA_Pay Rate': '9000.000000000',
'Name': 'John Doe',
'ParentID': '',
'Pay Raise %': '15.000000000',
'Pension Plan': 'Defined Contribution A',
'Per': 'Hr',
'Raise Date': '8/29/2025',
'Residence for Tax': 'NJ - New Jersey',
'Start Date': '8/28/2025',
'Title': 'Account Executive'}]