Update app.py

app.py

@@ -12,6 +12,7 @@ astationcolumns = ['akey','astationcode','alatitude','alongitude','atitle',]
 acontainer1 = st.empty()
 acontainer2 = st.empty()
 acontainer3 = st.empty()
+acontainer4 = st.empty()
 
 def asubmit(aparam):
 	adf2 = aparam["adataframe"]
@@ -30,16 +31,12 @@ def asubmit(aparam):
 	)
 	aparam["acontainer"].map(adf3)
 
-	return
-
-
 	abacklogmax = 10
 	atoday = datetime.date.today()
 	ayear = int(atoday.strftime("%Y"))-0
 	amonth = int(atoday.strftime("%m"))
 	amonthday = int(atoday.strftime("%d"))
 
-
 	csvString = ""
 	csvString += (",").join(mytitles)
 	adf3 = pd.DataFrame(columns=mytitles)
@@ -62,6 +59,8 @@ def asubmit(aparam):
 
 	adf3.plot.scatter(x='Date', y='Celsius', alpha=.1)
 
+	return
+
 	from sklearn.linear_model import LinearRegression
 # Creating a Linear Regression model on our data
 	lin = LinearRegression()