Hello,
When I run the aal.get_summary() command over a list of ZCTAs, many of the values return as for entire ZCTAs. In many cases, I see that valid_id still returns as True, which I take to mean that all the properties in the ZCTA have a floodfactor of 1 (analogous to the reason for AAL NAs at the property-level). However, most of the valid_id fields are false, with either an "incorrect address" or "incorrect congressional district" error code.
I have attached output for the NA ZCTAs. The First Street package is freshly installed and running on python 3.9. Here is the chunk of code that executes the pull:
fs = firststreet.FirstStreet("api-key",rate_limit=4950,rate_period=62, connection_limit=100)
pull_zip = "zip_list.csv"
fs.aal.get_summary(pull_zip, location_type='zcta', csv=True, output_dir=os.getcwd())
Thank you as always for your help!
missing_fsf.xlsx
Hello,
When I run the aal.get_summary() command over a list of ZCTAs, many of the values return as for entire ZCTAs. In many cases, I see that valid_id still returns as True, which I take to mean that all the properties in the ZCTA have a floodfactor of 1 (analogous to the reason for AAL NAs at the property-level). However, most of the valid_id fields are false, with either an "incorrect address" or "incorrect congressional district" error code.
I have attached output for the NA ZCTAs. The First Street package is freshly installed and running on python 3.9. Here is the chunk of code that executes the pull:
fs = firststreet.FirstStreet("api-key",rate_limit=4950,rate_period=62, connection_limit=100)
pull_zip = "zip_list.csv"
fs.aal.get_summary(pull_zip, location_type='zcta', csv=True, output_dir=os.getcwd())
Thank you as always for your help!
missing_fsf.xlsx