Update app.py

app.py

@@ -61,18 +61,14 @@ def asubmit(aparam):
 	adf3 = pd.read_csv(StringIO(csvString), sep=",")
 #	aparam["acontainer"].dataframe(adf3)
 
-#	adf3.plot.scatter(x='Date', y='Celsius', alpha=.1)
-
-	import matplotlib.pyplot as plt
-	xpoints = np.array(adf3['Date'])
-	ypoints = np.array(adf3['Celsius'])
-	plt.plot(xpoints, ypoints, 1)
-	plt.xlabel('Date')
-	plt.ylabel('Celsius')
-
-	plt.show()	
-
-	return
+	if ("0" == "mycustom"):
+		import matplotlib.pyplot as plt
+		xpoints = np.array(adf3['Date'])
+		ypoints = np.array(adf3['Celsius'])
+		plt.plot(xpoints, ypoints, 1)
+		plt.xlabel('Date')
+		plt.ylabel('Celsius')
+		plt.show()
 
 	from sklearn.linear_model import LinearRegression
 # Creating a Linear Regression model on our data