Update app.py

app.py

@@ -122,7 +122,7 @@ def draw_map_customize(longitude,latitude, fig_id='test',fig_extension='png' ):
     
     plt.legend(fontsize=16)
     save_fig(fig_id)
-    plt.show()
+    #plt.show()
     
     path = os.path.join(IMAGES_PATH, fig_id + "." + fig_extension)
     return path
@@ -133,14 +133,14 @@ def get_sample_data(num_data):
     sample_data = []
     for i in range(num_data):
       samp = housing.sample(1)
-      longitude = samp['longitude'].values[0]
-      latitude = samp['latitude'].values[0]
-      housing_median_age = samp['housing_median_age'].values[0]
-      total_rooms = samp['total_rooms'].values[0]
-      total_bedrooms = samp['total_bedrooms'].values[0]
-      population = samp['population'].values[0]
-      households = samp['households'].values[0]
-      median_income = samp['median_income'].values[0]
+      longitude = float(samp['longitude'].values[0])
+      latitude = float(samp['latitude'].values[0])
+      housing_median_age = float(samp['housing_median_age'].values[0])
+      total_rooms = float(samp['total_rooms'].values[0])
+      total_bedrooms = float(samp['total_bedrooms'].values[0])
+      population = float(samp['population'].values[0])
+      households = float(samp['households'].values[0])
+      median_income = float(samp['median_income'].values[0])
 
       sample_data.append([longitude,latitude,housing_median_age,total_rooms,total_bedrooms,population,households,median_income]) 
     return sample_data
@@ -174,6 +174,7 @@ def predict_price(longitude,latitude,housing_median_age,total_rooms,total_bedroo
 
     return pred,map_file
 
+
 ### configure inputs/outputs