Update app.py

app.py

@@ -17,12 +17,12 @@ st.write(type(ayear))
 st.write(("{}-{}-{}").format(ayear,amonth,amonthday))
 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)"])
 
+nparray = np.array([])
 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')
 	st.write(i)
 
-	nparray = np.array([])
 	df = df.reset_index()  # make sure indexes pair with number of rows
 	for index, row in df.iterrows():
 		if (row[2]!=amonth) or (row[3]!=amonthday):
@@ -32,5 +32,6 @@ for i in range(ayear-backlogmax,ayear,1):
 		adate = ("{}.{}.{} 00:00:00").format(row[2], row[1], row[0])
 		nparray = np.vstack(np.array([adate,"",row[4],"","","","","","","","","","","",""]))
 		break
-	adf = pd.concat([adf, pd.DataFrame(nparray)], axis=0)
+
+adf = pd.concat([adf, pd.DataFrame(nparray)], axis=0)
 st.dataframe(adf)