Update app.py

app.py

@@ -1,4 +1,3 @@
-
 # 19feb2023
 #https://huggingface.co/spaces/keras-io/timeseries_forecasting_for_weather/
 
@@ -23,7 +22,7 @@ for i in range(ayear-backlogmax,ayear,1):
 	df = pd.read_csv(alink, skiprows=[0,1,2], skipfooter=3, engine='python', on_bad_lines='skip')
 	st.write(i)
 
-	nparray = np.array([[]])
+	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):
@@ -31,7 +30,7 @@ for i in range(ayear-backlogmax,ayear,1):
 
 		st.write(row[0],row[1],row[2],row[3],row[4],amonth,amonthday)
 		adate = ("{}.{}.{} 00:00:00").format(row[2], row[1], row[0])
-		np.append(nparray,[[adate,"",row[4],"","","","","","","","","","","",""]],axis=0)
+		nparray = np.vstack(nparray([adate,"",row[4],"","","","","","","","","","","",""]))
 		break
 	adf = pd.concat([adf, pd.DataFrame(nparray)], axis=0)
-st.dataframe(adf)
+st.dataframe(adf)