Reputation: 1
How can code to find out fips when month is 2019, month is August and locality is King and Queen?
I started with import requests
from lxml import objectify
URL = 'https://data.virginia.gov/api/views/xvir-sctz/rows.xml?accessType=DOWNLOAD'
response = requests.get(URL).content
import requests
from lxml import objectify
#parsing the XML file
root = objectify.fromstring(response)
#take a look at the data
print(response)
Upvotes: 0
Views: 78
Reputation: 2010
I will probably use panda
dataframe for this as it is simpler to deal with the data and filtering:
import pandas as pd
df = pd.read_xml('https://data.virginia.gov/api/views/xvir-sctz/rows.xml?accessType=DOWNLOAD', xpath='row//row')[['year','month','fips','locality']]
df.columns = ['Year','Month','Fips','Locality']
print(df)
fips_df = df.query('Year == 2019.0 & Month == "August" & Locality.str.contains("King and Queen")')
print(fips_df)
Output like this:
You can change the query to suite your needs:
fips_df = df.query('Year == 2019.0 & Month == "August" & Locality.str.contains("King and Queen")')
Upvotes: 1