iterate hosted (AGOL) table attributes

[JamesCrandall]

Edit: this is a hosted Notebook on our AGOL org

I can't believe I cannot see any examples in the docs on simply accessing attributes of a hosted AGOL table/service, prbly just missing the obvious here.  I can get to all attributes of "features" but I'm unsure how to go about getting a specific attribute for each feature but had to actually apply a query to get the list object.

import time, os
from datetime import datetime, timedelta

from arcgis.gis import GIS
gis = GIS("home")
from arcgis.features import FeatureLayer
from arcgis.features import FeatureLayerCollection

t = time.localtime()
last_date_time = datetime.utcnow() - timedelta(days = 18)
timestamp = last_date_time.strftime("%Y-%m-%d %H:%M:%S")
#timestamp = '2022-10-02 15:00:00 PM'

sunsetTabId = '5cf39cfa77694131821ec89cc1bf0150'
sunsetTabItem = gis.content.get(sunsetTabId)

fields=['itemIdToProcess','daysToKeep']

for tab in sunsetTabItem.tables:
    tabSet = tab.query(where='OBJECTID>0')
    print (tab.properties.name)
    for row in tabSet.features:
        print (row)

This iterates over the "tabSet.features" object and I can print each row but unsure how to get at each "itemId" value each iteration.

{"attributes": {"OBJECTID": 1, "itemId": "416c10d63b78464798abc3c10e70c71b", "daysToKeep": 10}}
{"attributes": {"OBJECTID": 2, "itemId": "105f5c3e534744da9df8a0d8953fffc2", "daysToKeep": 5}}
{"attributes": {"OBJECTID": 3, "itemId": null, "daysToKeep": 1}}
{"attributes": {"OBJECTID": 4, "itemId": null, "daysToKeep": 1}}
{"attributes": {"OBJECTID": 5, "itemId": null, "daysToKeep": 1}}
{"attributes": {"OBJECTID": 6, "itemId": null, "daysToKeep": 1}}
{"attributes": {"OBJECTID": 7, "itemId": null, "daysToKeep": 1}}
{"attributes": {"OBJECTID": 8, "itemId": null, "daysToKeep": 1}}
{"attributes": {"OBJECTID": 9, "itemId": null, "daysToKeep": 1}}
{"attributes": {"OBJECTID": 10, "itemId": null, "daysToKeep": 1}}
{"attributes": {"OBJECTID": 11, "itemId": null, "daysToKeep": 1}}

But I cannot get "itemId"?

I've tried several combinations of things like: 

for row in qResult.features:
     print (row.attributes.itemId)

But gives 

AttributeError: 'dict' object has no attribute 'itemId'

[DavidAnderson_1701]

row['itemId']

[JamesCrandall]

TypeError                                 Traceback (most recent call last)
Input In [143], in <cell line: 20>()
     21 tabSet = tab.query(where='1=1')    
     22 for row in tabSet:        
---> 23     print (row['itemId'])

TypeError: 'Feature' object is not subscriptable

[jcarlson · Accepted solution]

The feature isn't subscriptable, but its attributes property (a dict) is.

for row in tabSet:
    print(row.attributes['itemId'])

[JamesCrandall]

That works.  Thanks -- I really was questioning if I had to actually iterate the dataframe!  This will def simplify it a level or two.

[JamesCrandall]

I guess I have to use the pandas dataframe object of the tabSet?

for tab in sunsetTabItem.tables:    
    tabSet = tab.query(where='1=1',as_df=True)       
    for index, row in tabSet.iterrows():
        print (row.itemId + "|" + str(row.daysToKeep))

Produces:

416c10d63b78464798abc3c10e70c71b|10
105f5c3e534744da9df8a0d8953fffc2|5
None|1
None|1
None|1
None|1
None|1
None|1
None|1
None|1
None|1

I guess I was expecting the python API to provide access to values of columns specified (ie, ".itemId")