Craiglist Webscraping Project

popular-locations-subset.py

#Removing all locations with 2 or less items.
counts = non_mv.location.value_counts()
loc_gt2 = counts[counts > 2]

popular_locations = non_mv[non_mv.location.isin(loc_gt2.keys())]

plt.figure(figsize=(10,5))
sns.violinplot(x="location", y="price", data=popular_locations, scale="width", inner="stick")
plt.show();