Hello:
I am a little bit new to coding. I would like to update an existing feature layer in AGOL using an open-source python library. Only one field (let us say field1) needs to be updated in the feature layer based on source data in csv. The feature layer and the .csv file have a common field to join them. Field_ID in the feature layer and CSV_ID in CSV file are used to join or map the source and the target. I do not think it matters but Field_ID is not unique. I am looking for a python code to automate the process of updating features in the feature layer using data from csv. I can not overwrite the feature layer because there are records or fields in the feature layer that are not in the csv.
Below is what I have...
import pandas as pd
import os
from arcgis.gis import GIS
from arcgis import features
from arcgis.features import SpatialDataFrame
from arcgis.mapping import WebMap
import arcpy
from arcgis.features import FeatureLayerCollection
csvFile = pd.read_csv("csvfile.csv")
portal ="htttps://xyz.maps.arcgis.com/"
username = "abc"
pw = "pword"
gis = GIS(portal, username, pw)
Feature_layerID = gis.content.get("123456789")
#replace the records in the "field1" of the feature layer based on the data in csv file, using the two common IDs in the feature layer and the csv file (Field_ID in the feature layer and CSV_ID in CSV file are used to join or map the source and the target).
