Update app.py

app.py

@@ -9,6 +9,7 @@ import streamlit as st
 from zipfile import ZipFile
 import os
 import datetime
+from io import StringIO
 
 import warnings
 warnings.filterwarnings("ignore")
@@ -38,7 +39,9 @@ if ("0" != ""):
 	amonth = int(today.strftime("%m"))
 	amonthday = int(today.strftime("%d"))
 
-	adf = pd.DataFrame(columns=["Date Time","p (mbar)","T (degC)","Tpot (K)","Tdew (degC)","rh (%)","VPmax (mbar)","VPact (mbar)","VPdef (mbar)","sh (g/kg)","H2OC (mmol/mol)","rho (g/m**3)","wv (m/s)","max. wv (m/s)","wd (deg)"])
+	csvString = ""
+	csvString += mytitles.join(",")
+	adf = pd.DataFrame(columns=mytitles)
 	for i in range((ayear-mybacklogmax),ayear,1):
 		alink = ("https://data.weather.gov.hk/weatherAPI/opendata/opendata.php?dataType=CLMTEMP&year={}&rformat=csv&station=HKO").format(str(i))
 		df = pd.read_csv(alink, skiprows=[0,1,2], skipfooter=3, engine='python', on_bad_lines='skip')
@@ -49,9 +52,11 @@ if ("0" != ""):
 				continue
 
 			adate = ("{:02d}.{:02d}.{} 00:00:00").format(row[3], row[2], row[1])
+			csvString += '\n'+[adate,"",row[4],"","","","","","","","","","","",""].join(",")
 			st.write(row[0],adate)
 			adf = adf.append({"Date Time":adate,"T (degC)":(row[4]),}, ignore_index=True)
 			break
+	adf = pd.read_csv(StringIO(csvString), sep=",")
 	df = adf
 #	df = adf.reindex(columns=mytitles)
 #	df = adf.reset_index()