def make_choropleth(self):
gu_info = load_gu_info()
busan_geojson = load_busan_geojson()
# 구청자료에 있는 확진자 데이터 가지고 오기
for i in range(len(gu_info)):
if gu_info['count'][i] == 0:
gu_info['count'][i] = 0
# busan_geojson와 gu_info 의 구 이름 맞춰주기
for i in range(len(gu_info)):
gu_info['Name'][i] = gu_info['Name'][i][:-1]
busan_map = initailize_Map()
# 음영생성
folium.Choropleth(geo_data=busan_geojson,
name='구별 확진자 수(음영)',
data=gu_info,
columns=['Name', 'count'],
key_on='feature.properties.name',
fill_color='Reds',
fill_opacity=0.4,
line_opacity=1,
line_weight=2,
nan_fill_opacity=0,
legend_name='구별 확진자 수').add_to(busan_map)
return busan_map
def make_MarkerCluster_layer(self):
gu_info = load_gu_info()
# MarkerCluster로와 구 layer 생성
marker_cluster = MarkerCluster(name='구별 확진자 수',
overlay=True,
control=True).add_to(busan_map)
# 구청별 MarkerCluster 생성
for Gu_name in gu_info['Name']:
gu_count = gu_info[gu_info['Name'] == Gu_name]['count']
for i in range(int(gu_count)):
if i <= int(gu_count):
folium.CircleMarker(location=[
float(
gu_info[gu_info['Name'] == Gu_name]['Longitude']),
float(gu_info[gu_info['Name'] == Gu_name]['Latitude'])
],
radius=0.5,
color='green').add_to(marker_cluster)
import datetime
from stations import stations, bfs
from functions import get_arrows, get_bearing
from functions import load_subway, load_busan_geojson, load_patient, load_gu_info
# from tabulate import tabulate
import prettytable
# sub = load_subway()
# sub.rename(columns={'위도':'latitude', '경도':'longitude'}, inplace=True)
# sub = sub[['역명','역주소','latitude','longitude','호선']]
# sub.to_csv('Busan_subway1.csv')
#No,Age,Sex,Gu,SMonth,SDate,Sday,FMonth,FDate,Fday,STime,FTime,Place,비고,
# S_sub,D_sub,Address,Routing,longitude,latitude,
# Unnamed: 20,Unnamed: 21,Unnamed: 22,Unnamed: 23,Unnamed: 24,Unnamed: 25
Gucheong_info = load_gu_info()
Gucheong_info.rename(columns={
'Latitude': 'longitude',
'Longitude': 'latitude'
},
inplace=True)
# Gucheong_info.drop(['Unnamed: 20','Unnamed: 21','Unnamed: 22','Unnamed: 23','Unnamed: 24','Unnamed: 25'], \
# axis=1, inplace=True)
Gucheong_info = Gucheong_info[[
'Name', 'Address', 'latitude', 'longitude', 'count'
]]
# print(Gucheong_info.info())
# print(Gucheong_info['latitude'].sample(10))
Gucheong_info.to_csv('Gucheong_info.csv')