class CrimeMap:
def __init__(self):
self.dr = DataReader()
def hook(self):
self.create_seoul_crime_map()
def create_seoul_crime_map(self):
self.dr.context = './data/'
self.dr.fname = 'saved/police_norm.csv'
pn = self.dr.csv_to_dframe()
print(pn)
self.dr.fname = 'geo_simple.json'
geo_str = self.dr.json_load()
map = folium.Map(location=[37.5502, 126.982],
zoom_start=12,
tiles='Stamen Toner')
map.choropleth(geo_data=geo_str,
name='choropleth',
data=tuple(zip(pn['구별'], pn['범죄'])),
key_on='feature.id',
fill_color='PuRd')
map.save(self.dr.context + 'saved/seoul_crime_map.html')
def create_map(self):
self.dr.context = "./data/"
self.dr.fname = 'crime_in_Seoul.csv'
crime = self.dr.csv_to_dframe()
station_names = []
for name in crime['관서명']:
station_names.append('서울' + str(name[:1]) + '경찰서')
station_addrs = []
station_lats = []
station_lngs = []
gmaps = self.dr.create_gmaps()
for name in station_names:
tmp = gmaps.geocode(name, language='ko')
station_addrs.append(tmp[0].get('formatted_address'))
tmp_loc = tmp[0].get('geometry')
station_lats.append(tmp_loc['1ocation']['lat'])
station_lats.append(tmp_loc['1ocation']['lng'])
print(name + '----->' + tmp[0].get('formatted_address'))
class CrimeMap:
def __init__(self):
self.dr = DataReader()
def hook(self):
# self.seoul_crime_map()
self.create_map()
def create_seoul_crime_map(self):
print('---------1 ---------')
self.dr.context = './data/'
self.dr.fname = 'saved/police_norm.csv'
pn = self.dr.csv_to_dframe()
print(pn)
self.dr.fname = 'geo_simple.json'
geo_str = self.dr.json_load()
map = folium.Map(location=[37.5502, 126.982],
zoom_start=12,
tiles='Stamen Toner')
map.choropleth(
geo_data=geo_str,
name='choropleth',
data=tuple(zip(pn['구별'], pn['범죄'])),
key_on='feature.id',
fill_color='PuRd'
)
map.save(self.dr.context+'saved/seoul_crime_map.html')
def create_map(self):
print('-----------')
self.dr.context = './data/'
self.dr.fname = 'saved/police_norm.csv'
pn = self.dr.csv_to_dframe()
self.dr.fname = 'crime_in_Seoul.csv'
crime = self.dr.csv_to_dframe()
# print(crime)
station_names = []
for name in crime['관서명']:
station_names.append('서울' + str(name[:-1]) + '경찰서')
station_addrs = []
station_lats = [] # 위도
station_lngs = [] # 경도
gmaps = self.dr.create_gmaps()
for name in station_names:
tmp = gmaps.geocode(name, language='ko')
station_addrs.append(tmp[0].get('formatted_address'))
tmp_loc = tmp[0].get('geometry')
station_lats.append(tmp_loc['location']['lat'])
station_lngs.append(tmp_loc['location']['lng'])
print(name + '---> '+tmp[0].get('formatted_address'))
self.dr.fname = 'police_position.csv'
police_pos = self.dr.csv_to_dframe()
police_pos['lat'] = station_lats
police_pos['lng'] = station_lngs
print(police_pos.columns)
col = ["살인 검거", "강도 검거", "강간 검거", "절도 검거", "폭력 검거"]
tmp = police_pos[col] / police_pos[col].max()
police_pos['검거'] = np.sum(tmp, axis=1)
self.dr.fname = 'geo_simple.json'
geo_str = self.dr.json_load()
map = folium.Map(location=[37.5502, 126.982],
zoom_start=12,
tiles='Stamen Toner')
map.choropleth(
geo_data=geo_str,
name='choropleth',
data=tuple(zip(pn['구별'], pn['범죄'])),
key_on='feature.id',
fill_color='PuRd'
)
for i in police_pos.index:
folium.CircleMarker([police_pos['lat'][i], police_pos['lng'][i]],
radius=police_pos['검거'][i] * 10,
color = '#0a0a32',
fill_color = '#0a0a32').add_to(map)
map.save(self.dr.context+'saved/seoul_police_map.html')
