def compareTeams(team, data):
starters = getStarters(data[team]["players"])
hometowns = list(map(lambda x: x["hometown"], starters))
geolocator = Nominatim(user_agent="CBBScraping")
school = geolocator.geocode(searchfor(team), addressdetails=True, timeout=10)
if school.raw["address"]["country_code"] != "us":
print(school)
locs = list(map(lambda x: geolocator.geocode(x, timeout=10), hometowns))
avgLat = (
reduce(
lambda x, y: x + y,
list(map(lambda x: x.latitude if x != None else 39.86, locs)),
)
/ 5
)
avgLon = (
reduce(
lambda x, y: x + y,
list(map(lambda x: x.longitude if x != None else -98.6, locs)),
)
/ 5
)
avgLocation = (avgLat, avgLon)
schoolLocation = (school.latitude, school.longitude)
score = distance.distance(avgLocation, schoolLocation).miles
return score
def compareTeams(team, data):
site = "Canada?"
starters = getStarters(data[team]["players"])
geolocator = Nominatim(user_agent="CBBScraping")
school = geolocator.geocode(searchfor(team), addressdetails=True, timeout=10)
if school.raw["address"]["country_code"] != "us":
print(school)
site_loc = geolocator.geocode(site, addressdetails=True, timeout=10)
schoolLocation = (school.latitude, school.longitude)
site_coords = (site_loc.latitude, site_loc.longitude)
score = distance.distance(site_coords, schoolLocation).miles
return score
def compareTeams(team, data):
starters = getStarters(data[team]["players"])
weights = list(map(lambda x: x["weight"], starters))
score = mean(weights)
return score