X-Git-Url: https://code.communitydata.science/covid19.git/blobdiff_plain/033149776c8bebf2a566c36d4d4b0d3ab8c9c48f..6493361fbd95f44a3b27131f4f79329d40e61c90:/transliterations/src/collect_trends.py?ds=sidebyside diff --git a/transliterations/src/collect_trends.py b/transliterations/src/collect_trends.py index 16a5c93..1820bc5 100644 --- a/transliterations/src/collect_trends.py +++ b/transliterations/src/collect_trends.py @@ -18,7 +18,7 @@ def grouper(iterable, n, fillvalue=None): def get_daily_trends(): trendReq = TrendReq(backoff_factor=0.2) today_trending = trendReq.today_searches() - daily_trends_outfile = path.join("..","data","output","daily_google_trends.csv") + daily_trends_outfile = path.join("..","output","daily_google_trends.csv") write_header = False header = ['date','term','top'] @@ -26,7 +26,7 @@ def get_daily_trends(): if not path.exists(daily_trends_outfile): write_header = True - with open("../data/output/daily_google_trends.csv",'a',newline='') as of: + with open("../output/intermediate/daily_google_trends.csv",'a',newline='') as of: writer = csv.writer(of) if write_header: writer.writerow(header) @@ -59,7 +59,7 @@ def get_related_queries(stems): df = pd.concat(out[k]) df['date'] = str(datetime.now().date()) out[k] = df - outfile = path.join('..','data','output',f"related_searches_{k}.csv") + outfile = path.join('..','output','intermediate',f"related_searches_{k}.csv") if path.exists(outfile): mode = 'a' header = False @@ -69,7 +69,7 @@ def get_related_queries(stems): df.to_csv(outfile, mode=mode, header=header,index=False) -stems = [t.strip() for t in open("../data/input/base_terms.txt",'r')] +stems = [t.strip() for t in open("../resources/base_terms.txt",'r')] get_daily_trends()