Fetch lat/lon for cities for eventual map
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67
get_data.py
67
get_data.py
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@ -1,13 +1,47 @@
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import requests
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import csv
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import json
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import zipfile
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import tempfile
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import os
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import subprocess
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import io
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# https://www2.census.gov/programs-surveys/popest/technical-documentation/file-layouts/2020-2022/SUB-EST2022.pdf
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INCORPORATED_PLACE = "162"
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# Get state FIPS/ANSI codes and other data
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# from https://www.census.gov/library/reference/code-lists/ansi.html#states
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print("Fetching states…", flush=True, end="")
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res = requests.get("https://www2.census.gov/geo/docs/reference/codes2020/national_state2020.txt")
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states = list(csv.DictReader(res.text.split('\n'), delimiter='|'))
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# {'STATE': 'AL', 'STATEFP': '01', 'STATENS': '01779775', 'STATE_NAME': 'Alabama'}
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print("done")
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# Find geographic centers of cities
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place_locations = {}
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for state in states[:51]: # Just the 50 and DC, not Guam/American Samoa/PR/etc
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with tempfile.TemporaryDirectory() as tmpdir:
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print(f"Fetching data for {state['STATE_NAME']}…", flush=True, end="")
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res = requests.get(f"https://www2.census.gov/geo/tiger/TIGER2020/PLACE/tl_2020_{state['STATEFP']}_place.zip")
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print("processing…", end="", flush=True)
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zipfile.ZipFile(io.BytesIO(res.content)).extractall(tmpdir)
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shapefile_name = os.path.join(tmpdir, f"tl_2020_{state['STATEFP']}_place.shp")
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geojson_file_name = os.path.join(tmpdir, "out.geojson")
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subprocess.run(f"ogr2ogr -f GeoJSON {geojson_file_name} {shapefile_name}", shell=True)
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with open(geojson_file_name) as f:
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data = json.load(f)
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for feature in data['features']:
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# {"type": "Feature", "properties": {"STATEFP": "01", "PLACEFP": "02260", "PLACENS": "02405163", "GEOID": "0102260", "NAME": "Ardmore", "NAMELSAD": "Ardmore town", "LSAD": "43", "CLASSFP": "C1", "PCICBSA": "N", "PCINECTA": "N", "MTFCC": "G4110", "FUNCSTAT": "A", "ALAND": 5289895, "AWATER": 21830, "INTPTLAT": "+34.9878376", "INTPTLON": "-086.8290225"}, "geometry": {"type": "Polygon", "coordinates": [[[-86.856689, 34.992046], [-86.855354, 34.992044], [-86.855101, 34.99204]
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state_place = (feature['properties']['STATEFP'], feature['properties']['PLACEFP'])
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lat_lon = (float(feature['properties']['INTPTLAT']), float(feature['properties']['INTPTLON']))
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place_locations[state_place] = lat_lon
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print("done")
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print("Fetching population data for all states…", flush=True, end="")
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res = requests.get("https://www2.census.gov/programs-surveys/popest/datasets/2020-2022/cities/totals/sub-est2022.csv")
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res.raise_for_status()
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print("processing…", flush=True, end="")
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cities_by_state = {}
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for line in csv.DictReader(res.content.decode('utf-8-sig').split('\n')):
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if line['SUMLEV'] != INCORPORATED_PLACE:
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@ -16,11 +50,36 @@ for line in csv.DictReader(res.content.decode('utf-8-sig').split('\n')):
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if not line['STNAME'] in cities_by_state:
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cities_by_state[line['STNAME']] = []
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try:
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loc = place_locations[(line['STATE'], line['PLACE'])]
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except KeyError:
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# TODO: why do these happen? Currently these:
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# WARN: KeyError for ('17', '10373')
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# WARN: KeyError for ('17', '31991')
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# WARN: KeyError for ('27', '13708')
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# WARN: KeyError for ('36', '75779')
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# WARN: KeyError for ('40', '43725')
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# WARN: KeyError for ('40', '49860')
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# WARN: KeyError for ('48', '21031')
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# WARN: KeyError for ('48', '23176')
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# WARN: KeyError for ('48', '58502')
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# WARN: KeyError for ('48', '73493')
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# WARN: KeyError for ('55', '31525')
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# WARN: KeyError for ('55', '82575')
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# WARN: KeyError for ('55', '84275')
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# Well, we'll just shove 'em on Null Island, I guess
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loc = [0,0]
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print("WARN: KeyError for", (line['STATE'], line['PLACE']))
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import time
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time.sleep(0.1)
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cities_by_state[line['STNAME']].append({
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"name": " ".join(line['NAME'].split(" ")[:-1]), # Remove "city" or "town" from the end
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"pop": int(line['POPESTIMATE2022']),
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"location": loc,
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})
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print("done")
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print("Writing data to disk…", flush=True, end="")
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for state, cities in cities_by_state.items():
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cities.sort(key=lambda i: i["pop"], reverse=True)
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@ -29,11 +88,10 @@ for state, cities in cities_by_state.items():
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with open(f"data/states.json", 'w') as f:
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f.write(json.dumps(list(cities_by_state.keys())))
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print("done")
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# ----- MAP -----
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import subprocess
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print("Fetching state outlines…", flush=True, end="")
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CMD="""
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curl --silent --remote-name https://www2.census.gov/geo/tiger/GENZ2022/shp/cb_2022_us_state_20m.zip
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unzip -q -o cb_2022_us_state_20m.zip
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@ -43,3 +101,4 @@ rm cb_2022_us_state_20m.*
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"""
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subprocess.run(CMD, shell=True)
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print("done")
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