def test_create_db(self):
cities.create_db()
query = cities.find('London')
results = list(query)
self.failIf(len(results) == 0)
full_names = [c.full_name for c in results]
self.failIf('London, ENG (United Kingdom)' not in full_names)
def test_find(self):
cities.create_db()
query = cities.find('London')
results = list(query)
self.failIf(len(results) == 0)
full_names = [c.full_name for c in results]
self.failIf('London, ENG (United Kingdom)' not in full_names)
def cities_json():
MIN_QUERY_LENGTH = 2
NUM_RESULTS = 5
query = request.args.get('q', '')
if len(query) < MIN_QUERY_LENGTH: abort(400)
return Response(json.dumps([
{'name': city.full_name,
'lat': city.latitude,
'long': city.longitude}
for city in cities.find(query)[:NUM_RESULTS]
]), mimetype='application/json')
def cities_json():
MIN_QUERY_LENGTH = 2
NUM_RESULTS = 5
query = request.args.get('q', '')
if len(query) < MIN_QUERY_LENGTH: abort(400)
return Response(json.dumps([
{'name': city.full_name,
'lat': city.latitude,
'long': city.longitude}
for city in cities.find(query)[:NUM_RESULTS]
]), mimetype='application/json')
def main():
# test functions
'''
city or adress("1600 Amphitheatre Parkway, Mountain View, CA")
address=input("Enter address: ")
print("\n")
cord=locationlatlng(address,apikey)
cord=cord.split(",")
temp=elevation(cord[0],cord[1],apikey)
print("this is temp"+str(temp))
'''
locations = cities.find()
el = []
place = []
# throw locations in fucntions to find there respective elevations
for city in locations:
cord = locationlatlng(city, apikey)
cord = cord.split(",")
place.append(city)
el.append(elevationlatlng(cord[0], cord[1], apikey))
# create dictionary
city_stats = {"City": place, "Elevation(m)": el}
# create pandas Dataframe with previous dictionary inside
dft = pd.DataFrame(city_stats)
# print dataframe without index
print(dft.to_string(index=False))
# use matplotlib to display the scatter between elevations and cities
plt.scatter(place, el)
plt.ylabel('Meters(Elevation)')
plt.xlabel('Cities')
plt.show()