b7990885d8b26b9404fd9ce952b0b2f005019594,california_housing/feature_engineering.py,,,#,23

Before Change

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train_set.plot(kind="scatter", x="longitude", y="latitude", alpha=0.4,
				s=train_set["population"]/100, label="population", figsize=(10,7),
				c="median_house_value", cmap=plt.get_cmap("jet"), colorbar=True)
plt.legend() 
plt.show()

attributes = ["median_house_value", "median_income", "total_rooms", "housing_median_age"]

After Change

cleveland_oh = (41.499498, -81.695391)
x = vincenty(newport_ri, cleveland_oh)
x //distance stored in km, see units on printing
print(x)
type(x.kilometers)

/ǘ. take a dict[city] = (lat, long) of locations and a tuple of lat long
	// run number 1 for each comparison and return a tuple with

Instances