fullOccupancy.csv added

src/mauro/propCountperScrape.py

@@ -23,6 +23,7 @@ propData.property_id = propData.property_id.astype(int)
 
 #DF's mergen
 merged_df = pd.merge(propData, propPerScrape, on='property_id', how='right')
+merged_df.to_csv('results/PropertiesPerScrapeRegion.csv', index=False)
 #print(merged_df)
 
 
@@ -53,8 +54,9 @@ for series in outList:
 
 ax = plt.gca()
 ax.set_xlim([0, 47])
+plt.title("Number of total known properties over Scrapes.")
 plt.xlabel('Scrape number')
-plt.ylabel('number of properties')
+plt.ylabel('number of known properties')
 plt.legend(["Heidiland", "Davos", "Engadin", "St. Moritz"], loc='upper left')
 plt.savefig("results/Number_of_properties_over_Scrapes.png")