Pandas data frame to feature layer - empty results

[YvetteBevis]

I am attempting to scrape data from a website and publish it as a feature layer to ArcGIS Online. I have been using the sample notebook (HTML table to Pandas Data Frame to Portal Item | ArcGIS for Developers ) as guidance for the pandas data frame to portal item bit. 

my problem is that after importing the data frame the resulting feature collection is empty:

Can anyone help me understand why it's empty? Is there maybe a characteristic of the data frame that it doesn't like? Is there a small detail I've overlooked?

Thanks,

Yvette

[Anonymous User · Accepted solution]

Hi Yvette Bevis‌,

Pretty sure there just isn't enough info in the table for the arcgis python API to know how to geocode the location information, and as a result it's not generating any features. Try adding state and country columns to your pandas dataframe before the gis.content.import_data()

from arcgis.gis import GIS
gis = GIS("home")

import requests
import urllib.request
import pandas as pd
import json
from bs4 import BeautifulSoup

url="https://www.qld.gov.au/health/conditions/health-alerts/coronavirus-covid-19/current-status/contact-tracing"
r=requests.get(url)
html_content= r.text
soup=BeautifulSoup(html_content, "html.parser")
table=soup.find('table', id = "table60438")
row=table.findAll('tr')
cr_df = pd.read_html(str(table))[0]
cr_df['Country']="Australia"
cr_df['State']="QLD"
tracingTable=gis.content.import_data(cr_df)
tracingTable.query()‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍

[YvetteBevis]

Thanks! That was the issue. I initially tried to add in the location information as a parameter during the import unsuccessfully but your way of doing it worked perfectly.