paulopperman’s gists

paulopperman / build_walklist.ipynb

Created May 17, 2026 19:15

Select and generate a walk list of voters

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paulopperman / generate_universe.py

Created May 17, 2026 19:13

Data processing to generate a voter universe from source spreadsheet

	import pandas as pd

	voter_list = pd.read_excel("./source_data/Voter File - Newport - 06-29-2018/Voter File - Newport - 06-29-2018.xlsx",
	dtype={'ZIP CODE': 'str',
	'STREET NUMBER': 'str',
	'MAILING STREET NUMBER': 'str',
	'MAILING ZIP CODE': 'str',
	'CONGRESSIONAL DISTRICT': 'str',
	'STATE SENTATE DISTRICT': 'str',
	'STATE REP DISTRICT': 'str',

paulopperman / extract_od.py

Created December 14, 2019 15:50

an inelegant script to melt state origin/destination data into files for SUMO model

	# an inelegant script to melt state data into files for SUMO model

	import pandas as pd


	def build_od_list(od_file):
	od = pd.read_csv(od_file, header=None, index_col=0)
	od.columns = od.index

	# clean matrix

paulopperman / random turtle 3d.nlogo3d

Created October 5, 2018 15:05

Random Turtle Walk in 3d

	;; extending random walk 2d example into 3d
	turtles-own
	[
	xc ; next x coordinate
	yc ; next y coordinate
	zc ; next z coordinate
	]

	to setup
	clear-all

paulopperman / noaa_weather_data.py

Created January 4, 2018 19:28

Playing around with NOAA API: https://www.ncdc.noaa.gov/cdo-web/webservices/v2

	import requests
	import pandas as pd

	# API documentation is at https://www.ncdc.noaa.gov/cdo-web/webservices/v2

	NOAA_API_TOKEN = '<from NOAA>'

	headers = {'token':NOAA_API_TOKEN}

	# get stations in Newport, RI

paulopperman / get_streetview_image.py

Last active January 4, 2018 16:11

get streetview images of points in a geojson file

	import requests
	from PIL import Image
	from io import BytesIO
	import os
	import pandas as pd

	# get crosswalk dataset
	newport_crossings_url = 'https://raw.githubusercontent.com/NewportDataPortal/sidewalk-map/development/npt-sidewalk-street-intersections.geojson'
	crossing_response = requests.get(newport_crossings_url)
	crossing_json = crossing_response.json()

paulopperman / simple_streetview.py

Created December 24, 2017 18:20

Basic Google Street View Imagery API calls

	import requests
	from PIL import Image
	from io import BytesIO
	import json

	url = 'https://maps.googleapis.com/maps/api/streetview'

	key = STREETVIEW_API_KEY

	out_file = 'streetviewimg.jpg'

paulopperman / shp2geopandas.py

Last active May 14, 2017 18:36

workaround for importing shapefile into geopandas

	import shapefile
	import geopandas as gp

	def convert_shapefile(filepath, crs=None):
	# Function to read an ESRI shapefile and return a geopandas GeoDataFrame
	reader = shapefile.Reader(filepath)

	# Extract the column names for the data
	fields = reader.fields[1:]
	field_names = [field[0] for field in fields]

paulopperman / geopy-geocoding.py

Created April 13, 2017 20:55

Geocoding with geopy

	# snippet from github.com/geopy/geopy/blob/master/README.md
	from geopy.geocoders import Nominatim
	geolocator = Nominatim()
	location = geolocator.geocode("175 5th Avenue NYC")
	print(location.address)
	print((location.latitude, location.longitude))

Paul paulopperman