Commit @584216fc3bb94458fd04b1295971bcd29f3a0670 - yjyoon/영천-프로젝트-기타-분석-예제

윤영준 2023-07-24

fixed wierd function and script names

@584216fc3bb94458fd04b1295971bcd29f3a0670

be71232

584216f

소상공인데이터_코드/소상공인데이터/cluster_counts.py (Renamed from 소상공인데이터_코드/소상공인데이터/main_cluster.py)

--- 소상공인데이터_코드/소상공인데이터/main_cluster.py

+++ 소상공인데이터_코드/소상공인데이터/cluster_counts.py

No changes

be71232

584216f

소상공인데이터_코드/소상공인데이터/get_survival_rate.py (Renamed from 소상공인데이터_코드/소상공인데이터/main.py)

--- 소상공인데이터_코드/소상공인데이터/main.py

+++ 소상공인데이터_코드/소상공인데이터/get_survival_rate.py


     return filtered
 
 
-def show(starting_year, ending_year, city='영천시', extrafilter=None):
+def get_survival_rate(starting_year, ending_year, city='영천시', extrafilter=None):
     '''
-
     :param starting_year:
     :param ending_year:
     :param city:

         print('경북', gb)
 
     if len(df_ycity_survive[df_ycity_survive['위도'] > 0]):
-        print('영천', yc)
+        print(city, yc)
 
     return gb, yc
 

 
 for j, year in enumerate([ df_2020, df_2021, df_2022]):
     print("전체")
-    show(df_2019, year)
+    get_survival_rate(df_2019, year, '상주시')
     # print("편의점")
     # show(df_2019, year, '영천시', extra_filter)
     # print("편의점X")

         exfil = [['상권업종대분류명', '소매', True],
                  ['상권업종중분류명', emd, True],
                  ['행정동명', '서부동', True]]
-        gb, yc = show(df_2019, year, '영천시', exfil)
+        gb, yc = get_survival_rate(df_2019, year, '상주시', exfil)
         csv_out[i] = yc
     csv_out = pd.DataFrame(csv_out, index=sector)
     csv_out_out = pd.concat((csv_out_out, csv_out), axis=1)

Add a comment

Open 0
Closed 0

List

...	...	@@ -10,9 +10,8 @@
10	10	return filtered
11	11
12	12
13		-def show(starting_year, ending_year, city='영천시', extrafilter=None):
	13	+def get_survival_rate(starting_year, ending_year, city='영천시', extrafilter=None):
14	14	'''
15		-
16	15	:param starting_year:
17	16	:param ending_year:
18	17	:param city:
...	...	@@ -59,7 +58,7 @@
59	58	print('경북', gb)
60	59
61	60	if len(df_ycity_survive[df_ycity_survive['위도'] > 0]):
62		- print('영천', yc)
	61	+ print(city, yc)
63	62
64	63	return gb, yc
65	64
...	...	@@ -106,7 +105,7 @@
106	105
107	106	for j, year in enumerate([ df_2020, df_2021, df_2022]):
108	107	print("전체")
109		- show(df_2019, year)
	108	+ get_survival_rate(df_2019, year, '상주시')
110	109	# print("편의점")
111	110	# show(df_2019, year, '영천시', extra_filter)
112	111	# print("편의점X")
...	...	@@ -118,7 +117,7 @@
118	117	exfil = [['상권업종대분류명', '소매', True],
119	118	['상권업종중분류명', emd, True],
120	119	['행정동명', '서부동', True]]
121		- gb, yc = show(df_2019, year, '영천시', exfil)
	120	+ gb, yc = get_survival_rate(df_2019, year, '상주시', exfil)
122	121	csv_out[i] = yc
123	122	csv_out = pd.DataFrame(csv_out, index=sector)
124	123	csv_out_out = pd.concat((csv_out_out, csv_out), axis=1)

Delete comment