Update app.py

app.py

@@ -1,3 +1,4 @@
+
 #%%
 from matplotlib.pyplot import title
 import tensorflow as tf
@@ -34,7 +35,7 @@ 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)"],dtype=object)
+	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)"])
 	for i in range(ayear-backlogmax,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')
@@ -46,7 +47,7 @@ if ("0" != ""):
 
 			adate = ("{:02d}.{:02d}.{} 00:00:00").format(row[3], row[2], row[1])
 			st.write(adate)
-			adf = adf.append({"Date Time":adate,"T (degC)":row[4],}, ignore_index=True)
+			adf = adf.append({"Date Time":adate,"T (degC)":str(row[4]),}, ignore_index=True)
 			break
 	df = adf